<rss version="2.0">
    <channel>
        <title>ScholarVox Ionis : Nouveautés
         : Sciences, informatique et techniques</title>
        <description />
        <link>http://ionis.scholarvox.com</link>

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            <title><![CDATA[ Introduction à la statistique bayésienne : Avec le logiciel R Ed. 1 ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Gimenez, Olivier<br/> 
            Editeur : Editions Quae<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9782759242597.jpg" /></a></p>
            <p><p>La statistique bayésienne est partout : prévisions météo, analyses d’épidémies, préservation de la biodiversité… Dans un monde incertain, elle permet d’estimer, de prédire et de décider, en donnant un sens aux données.</p><p>Ce livre propose une introduction accessible et concrète à la statistique bayésienne.&nbsp;</p><p>L’auteur explique pas-à-pas les fondements de l’approche, sa singularité et la logique qui sous-tend le raisonnement bayésien. L’apprentissage s’appuie sur le logiciel libre R et se construit à partir de questions de recherche liées à l’écologie du ragondin qui constitue le fil rouge de l’ouvrage.</p><p>Chaque chapitre aborde un pilier essentiel : le théorème de Bayes, les méthodes de Monte Carlo par chaînes de Markov (MCMC), le choix et le rôle des distributions a priori, la régression linéaire et ses extensions, les modèles linéaires généralisés (mixtes ou pas), jusqu’à la comparaison et la validation de modèles. Le lecteur est invité à coder, simuler, tester et visualiser pour comprendre, grâce aux exemples et au matériel en ligne.</p><p>Rédigé dans un style direct et didactique, comme un échange entre enseignant et étudiant, l’ouvrage démystifie la statistique bayésienne. Il s’adresse à tous ceux qui souhaitent se former à cette approche : étudiants, universitaires… et toute personne souhaitant appliquer ces méthodes en sciences du vivant, des données ou de l’environnement.</p></p>
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            <pubDate>2026-08-05T08:00:01.277</pubDate>
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            <title><![CDATA[ Faire de l’alimentation un bien commun ! : Manger nous engage ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Rémésy, Christian<br/> 
            Editeur : L&#039;Harmattan<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9782336611143.jpg" /></a></p>
            <p><p>Ce livre nous invite &agrave; refonder notre mani&egrave;re de se nourrir pour faire de l&rsquo;alimentation notre bien commun. &nbsp; &nbsp;<br />La t&acirc;che est immense. Nous savons produire beaucoup mais mal, nous sommes devenus des consommateurs hors sol. Le grand remplacement des vrais aliments par des produits issus de l&rsquo;industrie a marginalis&eacute; l&rsquo;agriculture, cr&eacute;&eacute; une alimentation &agrave; deux vitesses et fortement accru nos d&eacute;penses de sant&eacute;. &nbsp;<br />On ne sortira pas de cette impasse, sans trouver une alimentation plus adapt&eacute;e &agrave; la physiologie humaine et &agrave; la pr&eacute;servation de l&rsquo;environnement. Pour cela, nous devrons abandonner le vieux logiciel de la nutrition conventionnelle pour mettre en &oelig;uvre une nutri&eacute;colgie humaine qui nous aidera &agrave; manger juste.</p></p>
            ]]></description>
            <pubDate>2026-08-05T08:00:01.277</pubDate>
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            <title><![CDATA[ Reconquérir la biodiversité végétale du Sud-Ouest de l'océan Indien : 100 fiches pratiques de multiplication d’espèces indigènes Ed. 1 ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Franck, Antoine<br/> 
            Editeur : Editions Quae<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9782759242979.jpg" /></a></p>
            <p><p>Les îles du Sud-Ouest de l’océan Indien sont mondialement reconnues pour la richesse de leur biodiversité singulière et vulnérable. L’anthropisation reste la cause principale de la dégradation des habitats, de l’extinction et de la raréfaction des espèces. Reconquérir ce patrimoine naturel relève d’une urgence écologique, sociétale et culturelle. La volonté d’agir des acteurs de la conservation repose cependant sur une bonne connaissance de l’écologie des espèces végétales indigènes et des méthodes de multiplication.</p><p>Ce guide pratique constitue une boîte à outils pour les acteurs engagés dans les différents niveaux de conservation de la biodiversité. Il contribue à la diffusion de données écologiques et physiologiques, capitalisées depuis plus de trente ans par le Cirad de La Réunion dans le bassin de l’océan Indien. Il se présente sous forme de fiches d’itinéraires de multiplication pour 100 espèces indigènes et intègre des stratégies afin de surmonter les principaux obstacles rencontrés à chaque étape du processus.</p><p>Cet ouvrage sème ainsi des graines pour lever les verrous techniques et opérationnels dans le but de participer à l’effort collectif de conservation et de reconquête d’une biodiversité unique au monde.</p></p>
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            <pubDate>2026-08-05T08:00:01.277</pubDate>
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            <title><![CDATA[ La Foisonnante histoire du nom des molécules ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Avenas, Pierre<br/> 
            Editeur : EDP Sciences<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9782759837908.jpg" /></a></p>
            <p><blockquote>Après <i>La Prodigieuse histoire du nom des éléments,</i> voici <i>La Foisonnante histoire du nom des molécules</i>, une exploration des combinaisons d’atomes qui façonnent notre monde.<br>Cet ouvrage révèle l’étymologie des noms des molécules, une clé pour comprendre leur découverte, connaître les chimistes qui y ont contribué, et même l’état des connaissances scientifiques à leur époque. Les noms deviennent ainsi le point de départ d’un périple bien au-delà de la chimie, nous entraînant vers la botanique, la zoologie, l’histoire, la mythologie, la médecine, la biologie, les techniques ou encore l’industrie…<br>Les molécules, omniprésentes, n’ont pas fini de surprendre :<br>? La vanilline fait de la vanille la star mondiale des arômes.<br>? L’indigo est une teinture largement utilisée depuis l’Antiquité, et son origine indienne se retrouve dans son nom.<br>? Le Taxotère®, anticancéreux majeur, est obtenu grâce à des composés chimiques tirés d’un arbre, l’if (taxus en latin).<br>? L’acide hyaluronique, au nom assez énigmatique, connaît une renommée mondiale dans le domaine des cosmétiques.<br>? Enfin, la vie elle-même repose sur des molécules essentielles : ADN, ARN, acides aminés, protéines, vitamines…<br>Organisé par thèmes et doté d’un index alphabétique, ce livre invite à un voyage entre étymologie et chimie, entre histoire des sciences et anecdotes captivantes.</blockquote><div><br></div></p>
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            <pubDate>2026-08-05T08:00:01.277</pubDate>
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            <title><![CDATA[ Racines : Des plantes aux écosystèmes Ed. 1 ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Hinsinger, Philippe<br/> 
            Editeur : Editions Quae<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9782759242689.jpg" /></a></p>
            <p><p>Les racines sont essentielles à la vie de toutes les plantes sauvages et cultivées, des plus menues aux arbres gigantesques. Elles assurent la nutrition et l’alimentation en eau des végétaux, et remplissent de nombreuses autres fonctions : ancrer la plante, freiner l’érosion des sols, fournir des sucres et d’autres composés carbonés aux organismes souterrains… En outre, les échanges qu’elles entretiennent avec leur environnement immédiat stimulent les activités microbiennes, qui enrichissent le sol et contribuent en retour à protéger la plante.</p><p>Maillon indispensable au cycle de l’eau, les racines atténuent aussi le réchauffement climatique en stockant du carbone dans le sol et participent de diverses manières au bon fonctionnement des écosystèmes terrestres. Par ailleurs, elles restent, pour les sociétés humaines, une source importante d’aliments (betteraves, carottes, manioc, patates douces…) et de services (agricoles, forestiers, pharmaceutiques…).</p><p>En révélant les fonctions, les interactions et les capacités d’adaptation des racines aux milieux les plus variés, cet ouvrage explore leurs rôles méconnus. Il s’adresse à tous les lecteurs s’intéressant aux plantes, aux cultures, aux forêts et aux sols.</p></p>
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            <pubDate>2026-08-05T08:00:01.277</pubDate>
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            <title><![CDATA[ MÉCANIQUE ANALYTIQUE DE LAGRANGE : Cours et recueils d’examens corrigés ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Mesrar, Rachid<br/> 
            Editeur : EDP Sciences<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9782759838660.jpg" /></a></p>
            <p><blockquote>Cet ouvrage s’organise en deux parties distinctes.&nbsp;<br>La première, dédiée aux notes de cours, présente un principe incontournable de la mécanique analytique : le principe des puissances virtuelles. Ce principe, et les équations de Lagrange qui en découlent, forment les bases essentielles de la mécanique lagrangienne. Pour rendre ces concepts accessibles, le texte s’enrichit d’applications concrètes, d’exemples variés et de conseils méthodologiques, offrant ainsi une approche à la fois rigoureuse et pédagogique.<br>La seconde partie rassemble une sélection de problèmes résolus, dont une grande partie est originale. Structurés en trois recueils de cinq problèmes chacun, ces exercices permettent une progression adaptée : des sujets simples pour débuter, des cas plus ardus pour approfondir, et enfin des problèmes type examen pour consolider la maîtrise des équations de Lagrange. Un outil idéal pour apprendre et s’exercer en mécanique analytique.</blockquote></p>
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            <pubDate>2026-08-05T08:00:01.277</pubDate>
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            <title><![CDATA[ CASDAR 2019 - Volume 107 ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Collectif<br/> 
            Editeur : INRAE<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9782738014870.jpg" /></a></p>
            <p><p>Ce num&eacute;ro traite de r&eacute;sultats de projets laur&eacute;ats en 2019 de l'appel &agrave; projet CASDAR (Compte d'Affectation Sp&eacute;ciale D&eacute;veloppement Agricole et Rural), &laquo; Innovation et Partenariat &raquo; et &laquo; Recherche Technologique &raquo;. Ces projets sont financ&eacute;s par le minist&egrave;re de l'Agriculture et de la Souverainet&eacute; Alimentaire.</p></p>
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            <pubDate>2026-08-05T08:00:01.277</pubDate>
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            <title><![CDATA[ Pollutions sensorielles : La face cachée de notre empreinte écologique ? ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Sordello, Romain<br/> 
            Editeur : Editions Quae<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9782759242016.jpg" /></a></p>
            <p><p>Les organismes interagissent entre eux et avec leur environnement via leurs sens. Or les infrastructures et les activités humaines émettent de la lumière artificielle la nuit, des bruits et des molécules volatiles susceptibles de dégrader et de fragmenter les paysages sensoriels, rendant les écosystèmes moins fonctionnels. Alors que l’artificialisation des milieux naturels est identifiée comme l’une des premières causes d’érosion de la biodiversité, ces pollutions sensorielles restent pourtant une préoccupation mineure dans les politiques publiques.&nbsp;</p><p>Cet ouvrage replace tout d’abord la perception sensorielle au cœur du fonctionnement des écosystèmes et des paysages. Il présente ensuite l’impact des pollutions lumineuses, sonores et olfactives sur la faune et les écosystèmes, puis propose des solutions pour les limiter. Enfin, il invite à une meilleure prise en compte de ces enjeux dans la planification territoriale au travers des politiques de trames écologiques.</p></p>
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            <pubDate>2026-08-05T08:00:01.277</pubDate>
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            <title><![CDATA[ Plant Electrophysiology: Principles, Measurement, and Applications ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Wu, Yanyou<br/> 
            Editeur : EDP Sciences<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9782759839834.jpg" /></a></p>
            <p><p>Changes in plant electrical signals are closely linked to a wide range of physiological and biochemical processes. This work employs non-stimulatory and non-invasive techniques to acquire electrical signals from different plant species, and systematically analyzes the mechanisms of signal generation as well as the functional principles of diverse plant electrical signals. It further examines plant electrophysiological responses to variations in water and nutrient metabolism, salinity stress, disease, and pH conditions. The book outlines principles and technologies for using electrophysiological information to characterize water metabolism, active and passive nutrient transport, salt tolerance, disease resistance, acid–alkali tolerance, plant health status, and environmental adaptability. Through the measurement and interpretation of electrophysiological signals, it provides biophysical insights into the fundamental mechanisms underlying plant life processes. The methods and findings offer technical support for improving plants’ environmental adaptability in agricultural production and provide theoretical and data-driven foundations for the development of smart crop health management and intelligent breeding systems.</p><p>This book serves as a valuable reference for researchers and graduate students in plant physiology, biophysics, agricultural engineering, and plant ecology. It may also be used as supplementary reading for advanced undergraduates in related disciplines, and as a practical resource for technical professionals in agricultural intelligent equipment enterprises and large-scale agricultural organizations.</p></p>
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            <pubDate>2026-08-05T08:00:01.277</pubDate>
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            <title><![CDATA[ Fruits Oubliés n° 82 : Saveur et bienfaits des oignons et de l'olivier ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Collectif<br/> 
            Editeur : Fruits Oubliés<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/revuefruitsoublies82.jpg" /></a></p>
            <p><p>Pour ce num&eacute;ro d'Automne, nous abordons une th&eacute;matique que nous n'avions pas encore explor&eacute; : les Oignons. Pourtant indispensable &agrave; une cuisine savoureuse, nous devions commencer d'en faire le tour...</p>
<p>Nous revenons aussi sur l'Olivier, avec un nouveau dossier et une m&eacute;thode de multiplication par &eacute;clat de souche...</p>
<p><span>Vous trouverez aussi dans ce num&eacute;ro, un excellent article sur l'&eacute;levage et la ch&acirc;taigneraie en Corse, la suite du dossier sur les aliments ferment&eacute;s, le d&eacute;but d'un travail sur la Rose, et&nbsp; notamment la Rose de Provins..</span><br /><br /><span>Et bien sur, un Bona Fama sur les usages du Gatillier, arbre r&eacute;put&eacute; d'&ecirc;tre l'alli&eacute; des femmes...</span><br /><br /><span>Un nouveau num&eacute;ro que nous vous invitons &agrave; d&eacute;couvrir pour les f&ecirc;tes de fin d'ann&eacute;e 2025, que nous vous souhaitons joyeuses...</span></p></p>
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            <pubDate>2026-08-05T08:00:01.277</pubDate>
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            <title><![CDATA[ Fruits Oubliés n° 83 : A la quête des glands doux, Passiflores, décroiscience, et cultiver la pluie ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Collectif<br/> 
            Editeur : Fruits Oubliés<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/revuefruitsoublies83.jpg" /></a></p>
            <p><p>Pour ce num&eacute;ro d'&eacute;t&eacute;, nous retournons vers quelques fruits moins connus...</p>
<p>Ainsi nous traiterons du bigaradier, qui devient de plus en plus adaptable sur nos territoires puisque vous trouverez dans ce num&eacute;ro une description et un contact pour garnir votre verger d'agrumes fructif&egrave;re qui r&eacute;siste &agrave; des temp&eacute;ratures inf&eacute;rieures &agrave; -15&deg;C.</p>
<p><span>Vous trouverez aussi dans ce num&eacute;ro, la troisi&egrave;me et derni&egrave;re partie de notre dossier sur les figuiers de Barbarie, dans lequel nous avons essay&eacute; de faire un point non exhaustif de quelques vari&eacute;t&eacute;s cultiv&eacute;es...</span><br /><br /><span>Et bien sur, plusieurs autres dossiers concernant un appel &agrave; la gratuit&eacute; des cantines scolaires bio sign&eacute; de Paul Ari&egrave;s, ou d'autres initiatives &agrave; propos d'une alimentation plus saine pour la restauration collective... Et un autre dossier li&eacute;s &agrave; l'alimentation ferment&eacute;e...</span><br /><br /><span>C'est donc un num&eacute;ro que nous vous invitons &agrave; d&eacute;vorer avec passion...</span></p></p>
            ]]></description>
            <pubDate>2026-08-05T08:00:01.277</pubDate>
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            <title><![CDATA[ Cassini : L'astronome & la sonde spatiale ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Débarbat, Suzanne<br/> 
            Editeur : EDP Sciences<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9782759837670.jpg" /></a></p>
            <p><blockquote>Quatre Cassini se sont succédé à la tête de l’astronomie française pendant un siècle et demi. Le premier, Giovanni Domenico, déjà célèbre par ses travaux en Italie, a été appelé par Louis XIV pour prendre en main l’Observatoire de Paris à sa création. Il s’est établi définitivement en France, son nom étant francisé en Jean-Dominique Cassini. Bénéficiant d’une acuité visuelle exceptionnelle, il a découvert quatre satellites de Saturne, la division de l’anneau de cette planète à laquelle on a donné son nom ; il a également déterminé la période de rotation sur eux-mêmes du Soleil, de Mars et de Jupiter et fait la première carte détaillée de la Lune. Cassini est aussi connu pour avoir étudié les occultations des satellites de Jupiter par leur planète, dont l’observation a permis d’établir la longitude de nombreux lieux de la France et du monde entier ainsi que la mesure, pour la première fois, de la vitesse de la lumière. Il fut, comme ses descendants, un pionnier de la cartographie, dont le résultat final est la magnifique Carte des Cassini de la fin du XVIIIe siècle. Les découvertes de Cassini concernant le système de Saturne ont conduit la NASA et l’ESA à donner son nom à la sonde spatiale qui a exploré la planète et ses satellites de 2004 à 2017.<br>Ce sont toutes ces histoires, placées dans le contexte de leur époque, qui font l’objet du présent livre, qui est un ouvrage de référence et inclut une bibliographie très complète, tout en restant accessible au non-spécialiste.</blockquote></p>
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            <pubDate>2026-08-05T08:00:01.277</pubDate>
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            <title><![CDATA[ Fragments de Science - Volume 6 ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Labat, Corinne<br/> 
            Editeur : EDP Sciences<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9782759838059.jpg" /></a></p>
            <p><blockquote><b><i>Les myxomycètes – La Cuprosklodowskite&nbsp; - Le Pelophylax kl. Esculentus – Le Cercle de Borda<b>&nbsp;</b></i></b><i><b>- La Catalyse de Paul Sabatier</b></i><br>C’est le volume des métamorphoses. Dans la forme d’abord avec 4 universités invitées à participer à ce projet. Et dans le fond aussi : les myxomycètes qui se transforment pour se reproduire ; la cuprosklodowskite, produit d’une minéralisation secondaire et source de radioactivité ; une grenouille incarnation même de l’idée de métamorphose, un instrument qui a changé radicalement notre système de mesure de l’espace, et enfin, une réaction chimique qui a transfiguré un destin.<br>Produits de l’histoire, ces fragments de science sont à la fois des morceaux de patrimoine et du patrimoine en morceaux. Ils nous relient et nous attachent : ils sont des traces matérielles qui font racines, disent une continuité, construisent la mémoire collective, et finalement contribuent à définir notre identité. Ils sont autant d’indices qui, mis bout à bout, permettent de déchiffrer et de recomposer l’aventure scientifique.</blockquote></p>
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            <pubDate>2026-08-05T08:00:01.277</pubDate>
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            <title><![CDATA[ Une histoire de la pensée rationnelle - Tome 3 : III. La certitude et la raison - Le triomphe de la mécanique classique ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Merlen, Alain<br/> 
            Editeur : EDP Sciences<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9782759838332.jpg" /></a></p>
            <p><p>COMMENT s’est développée la pensée rationnelle au cours des siècles ? Il est indéniable que la physique y a fortement contribué.</p><p>Cette série de 4 livres propose ainsi une histoire de la découverte des concepts de la physique par ceux qui l’ont construite, et ont, bien souvent, été oubliés. Accessible à tous, ce grand récit est étoffé, dans des encadrés, de démonstrations respectant l’esprit de l’époque mais reformulées, pour le lecteur ayant quelques connaissances scientifiques, en langage mathématique actuel. À l’heure où la science est régulièrement remise en question, il paraît nécessaire de considérer avec clairvoyance le chemin parcouru et d’en tirer des enseignements, afin de se préparer au mieux à affronter les défis majeurs des années à venir.</p><blockquote>Ce 3e tome débute avec la condamnation de Galilée en 1633 et la publication du « discours sur deux sciences nouvelles », son œuvre la plus importante. Une nouvelle communauté scientifique voit le jour avec des physiciens cherchant l’explication de la création par des lois mathématiques reliant les causes et les effets. Ainsi naissent la mécanique classique de Newton, l’évaluation de la vitesse de la lumière… et la révolution mathématique de Leibnitz, Bernoulli, Euler puis Lagrange. Le rôle de la religion se limite désormais à professer une morale que les philosophes remodèlent. En 170 ans, les physiciens ont modifié la vision du monde, mais les sciences émergentes comme la chimie, l’électricité restent encore à développer, elles ne seront théorisées qu’au XIXe siècle.</blockquote><div><br></div></p>
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            <pubDate>2026-08-05T08:00:01.277</pubDate>
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            <title><![CDATA[ The Business Analyst's Career Master Plan : Master the tools, techniques, and strategies for a thriving career in business analysis ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Champagne, Jamie<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781836206842.jpg" /></a></p>
            <p><p><b>Proven strategies and practical insights to build, advance, and excel in your business analysis career for lasting professional success</b></p><h4>Key Features</h4><ul><li>Elevate your strategic thinking with real-world examples and case studies</li><li>Get insights into CBAP®, ECBA™, and PMI®-PBA certifications and learn to leverage them effectively</li><li>Build a personalized career roadmap with actionable next steps</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>Designed by an industry expert, this book offers a structured and practical roadmap to help professionals confidently navigate their careers at every stage, whether they are aspiring analysts or seasoned leaders.
You’ll begin with core business analysis principles and progress through advanced techniques, real-world applications, and the latest trends shaping the profession. Each chapter delivers expert insights, hands-on tools, and best practices to help you build essential skills to even advanced applications, select the right specialization, and stay ahead with evolving technologies. You'll explore career planning, certifications, stakeholder relationships and engagement, leadership, and continuous learning, culminating in a personalized career growth strategy.
By the end, you'll have the knowledge and confidence to define your path and set meaningful goals for a successful business analysis career.<h4>What you will learn</h4><ul><li>Master foundational skills and apply them to real-world scenarios</li><li>Explore techniques for effective requirements elicitation and modeling</li><li>Improve stakeholder communication, ethics, and leadership skills</li><li>Plan career progression by setting goals and creating a roadmap</li><li>Explore business analysis specializations and find your path</li><li>Stay updated on emerging technologies' impact on analysis work</li><li>Build and grow your career with best practices in a dynamic field</li></ul><h4>Who this book is for</h4><p>If you are a business analysis professional looking to advance your career, this book is for you. This includes individuals at all levels, from entry-level business analysts to senior professionals aiming for leadership positions. Project managers, process improvement specialists, and other change management professionals involved in business analysis-related activities, looking to grow their careers or transition into more business analysis-focused roles, will also benefit greatly from this comprehensive guide.</p></p>
            ]]></description>
            <pubDate>2026-08-05T08:00:01.277</pubDate>
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            <title><![CDATA[ Biological Highways in the Sky : The dispersal of microorganisms, insects and other small life forms via the atmosphere Ed. 1 ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Morris, Cindy E.<br/> 
            Editeur : Editions Quae<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9782759241279.jpg" /></a></p>
            <p><p>This book explores the atmosphere as a dynamic transport system for small biological particles in the atmosphere, with a focus on microorganisms and small insects, applicable to nematodes, spiders, tardigrades, etc. It brings together interdisciplinary competence from Life, Earth and Mathematical Sciences to describe emissions processes such as wildfire smoke, sea spray and recurrent uplift from plant canopies; transport processes and trajectories in the past, present and future; and how the voyagers survive the atmospheric physico-chemical conditions. The book introduces tools to trace dispersal routes, assess post-deposition impacts, as well as the concepts of “atmospheric biogeography” and “windsheds” to understand and anticipate microbial movement across landscapes and borders. It offers stimulus to both new and established researchers to undertake an important challenge in aerobiology: to more precisely characterize and quantify the dynamics of particle voyages on the highways of the atmosphere and identify the impacts of these voyages on disease epidemiology, environmental quality and the evolution of organisms.</p></p>
            ]]></description>
            <pubDate>2026-08-05T08:00:01.277</pubDate>
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                <item>
            <title><![CDATA[ Pratique de la transfusion sanguine dans les régions à ressources limitées ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Tayou Tagny, Claude<br/> 
            Editeur : John Libbey Eurotext<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9782742017836.jpg" /></a></p>
            <p><p>Ouvrage collectif de <strong>34 experts d'Afrique</strong>, d'Europe et d'Amérique sous la direction du Pr Claude Tayou Tagny (professeur d'hématologie au Cameroun), assisté de Christiane Gérard (responsable de la banque de sang au CHU de Liège, Belgique).</p><p>Un <strong>manuel de terrain, pratique, didactique, adapté aux réalités quotidiennes</strong> du personnel travaillant en transfusion sanguine de la transfusion des pays à faibles ressources. Il apporte <strong>des solutions concrètes et efficaces</strong> aux difficultés quotidiennes, tout en respectant les <strong>exigences de qualité</strong>. </p><p>Il sera très utile pour tout soignant ou technicien qui veut effectuer les activités liées à la transfusion sanguine avec peu de ressources.</p></p>
            ]]></description>
            <pubDate>2026-08-05T08:00:01.277</pubDate>
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            <title><![CDATA[ Les mycotoxines : Connaissances actuelles et futurs enjeux Ed. 1 ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Oswald, Isabelle<br/> 
            Editeur : Editions Quae<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9782759239771.jpg" /></a></p>
            <p><p>Les mycotoxines sont des m&eacute;tabolites qui peuvent s&rsquo;av&eacute;rer toxiques pour l&rsquo;humain et l&rsquo;animal. Produites et excr&eacute;t&eacute;es par des champignons microscopiques, elles contaminent les cultures au champ ou lors du stockage.</p>
<p>Les mycotoxines peuvent engendrer des probl&egrave;mes de sant&eacute; publique, mais aussi animale et environnementale, ainsi que des pertes &eacute;conomiques importantes pour les fili&egrave;res. Face au danger qu&rsquo;elles repr&eacute;sentent, les agences publiques ont entrepris d&rsquo;&eacute;valuer le risque li&eacute; &agrave; leur pr&eacute;sence dans les cha&icirc;nes alimentaires humaine et animale, et les pouvoirs publics ont instaur&eacute; des r&eacute;glementations et recommandations r&eacute;gissant leurs teneurs dans les denr&eacute;es.</p>
<p>De plus, certains facteurs modifient les profils de contamination des aliments. C&rsquo;est le cas du d&eacute;r&egrave;glement climatique, avec en particulier l&rsquo;&eacute;mergence d&rsquo;esp&egrave;ces fongiques productrices de mycotoxines qui, jusqu&rsquo;alors, contaminaient des denr&eacute;es d&rsquo;origine tropicale. Les changements de pratiques, du champ au stockage, notamment avec le d&eacute;veloppement de l&rsquo;agro&eacute;cologie, peuvent &eacute;galement favoriser le d&eacute;veloppement de certaines mycotoxines. Par ailleurs, de nouvelles habitudes alimentaires, dont la r&eacute;duction des prot&eacute;ines animales au b&eacute;n&eacute;fice de prot&eacute;ines v&eacute;g&eacute;tales, impactent aussi le profil d&rsquo;exposition des consommateurs. Toutes ces &eacute;volutions constituent des d&eacute;fis majeurs pour la communaut&eacute; scientifique, les fili&egrave;res et les pouvoirs publics.</p>
<p>Cet ouvrage destin&eacute; aux &eacute;tudiants, aux chercheurs et enseignants, aux acteurs des fili&egrave;res agricoles et agro-industrielles, ainsi qu&rsquo;aux agences sanitaires, synth&eacute;tise les connaissances sur cette classe de contaminants naturels des aliments, et s&rsquo;attache &agrave; d&eacute;finir les enjeux de leur pr&eacute;sence dans un monde en perp&eacute;tuel changement.</p></p>
            ]]></description>
            <pubDate>2026-08-05T08:00:01.277</pubDate>
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            <title><![CDATA[ Les récifs coralliens  ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Sheppard, Charles<br/> 
            Editeur : EDP Sciences<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9782759830534.jpg" /></a></p>
            <p><blockquote>Les récifs coralliens figurent parmi les écosystèmes les plus beaux et les plus diversifiés. Les premiers marins s’en méfiaient, les naturalistes ne savaient qu’en penser, mais de nombreuses populations côtières ont largement profité de ces mystérieuses structures rocheuses qui poussent jusqu’à la surface de la mer. Leur richesse alimentaire a permis à d’innombrables communautés côtières de se développer sous leur protection en leur offrant un brise-lames contre les tempêtes et les hautes vagues. Présents dans d’innombrables endroits du monde, de la province corallienne de l’Indo-Pacifique aux Caraïbes et à l’Australie, ils soutiennent à la fois la vie marine et la vie humaine. Mais aujourd’hui, les récifs coralliens sont en danger : nombre d’entre eux meurent ou souffrent de la surexploitation, de la pollution, du réchauffement et de l’acidification des océans. Il est essentiel de comprendre les récifs, leur conservation et leur gestion, et de transmettre ces connaissances aux autorités si nous voulons préserver ces écosystèmes remarquables.</blockquote></p>
            ]]></description>
            <pubDate>2026-08-05T08:00:01.277</pubDate>
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            <title><![CDATA[ Mathématiques PT/PT* Ed. 5 ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Leuck, Olivier<br/> 
            Editeur : Ellipses<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9782340119789.jpg" /></a></p>
            <p><p>Les ouvrages ont été conçus et rédigés par des professeurs enseignant en CPGE dans différents lycées. Leur contenu a été discuté et pensé avec soin pour permettre la meilleure adéquation avec les attentes et les besoins des étudiants.</p><p>Pour réussir en prépas, il faut assimiler le cours, en connaître les points fondamentaux et savoir le mettre en application dans des exercices ou des problèmes souvent ardus. Cette collection est conçue pour répondre à toutes ces difficultés. </p><p><strong>Les points clés</strong> :</p><ul><li><strong>Le résumé de cours</strong> pour accéder à une connaissance synthétique des notions.</li><li><strong>Les méthodes</strong> de toutes les techniques usuelles qu’il faut savoir mettre en place.</li><li><strong>Le vrai/faux </strong>pour tester sa bonne compréhension du cours.</li><li><strong>Les exercices avec indications</strong>, souvent tirés d’annales des concours et toujours <strong>corrigés</strong>.</li><li><strong>Les exercices type-oraux</strong> qui reprennent des sujets posés par les examinateurs.</li><li><strong>Une introduction méthodologique</strong> avec tous les conseils clé en main pour réussir son année.</li></ul></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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            <title><![CDATA[ Mastering Veeam Backup & Replication : An authoritative guide to architect a resilient Veeam 13 backup platform with proven best practices ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Childerhose, Chris<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806388882.jpg" /></a></p>
            <p><p><b>Efficiently architect proven backup strategies with Veeam 13's authoritative approach to hardened security, continuous data protection, and intelligent recovery capabilities</b></p><h4>Key Features</h4><ul><li>Explore the new Veeam ONE 13 features and enhancements for monitoring Veeam</li><li>Gain in-depth knowledge of core architecture changes including Veeam Software Appliance</li><li>Discover the new enhanced Universal CDP, including all the enhancements</li></ul><h4>Book Description</h4>In today’s evolving threat landscape, protecting data across virtual, physical, and cloud workloads is critical. Veeam Backup & Replication remains a leading modern data protection platform, and version 13 elevates it with AI-driven intelligence, hardened security, and a reimagined appliance architecture. This new edition equips IT professionals and backup administrators to design, deploy, and manage a resilient Veeam v13 infrastructure.
This edition covers major new features added to the application, such as Veeam Intelligence AI-driven insights, Universal Continuous Data Protection, and the Veeam Software Appliance with built-in High Availability clustering. This guides you through implementing modern data protection solutions for your cloud and virtual infrastructure with Veeam while helping you master advanced concepts such as Zero Trust security hardening and enhanced Active Directory integration. You'll dive deep into other new features as well, such as improved automation through PowerShell enhancements, and learn about CDP and disaster recovery from a service provider perspective with Veeam Cloud Connect.
By the end of this book, you'll be able to successfully implement Veeam Backup & Replication to secure your environment and ensure reliable disaster recovery across your entire infrastructure.<h4>What you will learn</h4><ul><li>Understand installing and upgrading Veeam to v13</li><li>Master the ability to use High Availability (HA) for disaster recovery</li><li>Explore the new JeOS and how it is used in the infrastructure</li><li>Explore the redesigned and enhanced console, including Veeam Intelligence</li><li>Work with HA and CDP to ensure data resilience</li><li>Explore new Veeam ONE features and other best practices</li><li>Learn best practices and other recovery options now included in Veeam Backup & Replication 13</li></ul><h4>Who this book is for</h4><p>This book is for backup administrators or cloud disaster architects looking to gain expertise in all things Veeam. This book is also for IT professionals who have intermediate to advanced-level knowledge of virtualization, as well as backups and backup applications. Anyone who needs a reference guide for learning the advanced and latest features of Veeam 13 will find this book useful.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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            <title><![CDATA[ Mastering Tableau 2026 : Implement advanced data visualizations, BI techniques and AI-powered analytics with Tableau ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Meier, Marleen<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806100705.jpg" /></a></p>
            <p><p><b>Build, design, and improve advanced business intelligence solutions using Tableau's newest updates, including Tableau Desktop, Prep Builder, Server, and AI-powered features to drive data-driven decision-making.

Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*</b></p><h4>Key Features</h4><ul><li>Build advanced Tableau dashboards and data visualizations for business intelligence</li><li>Leverage Tableau AI features, automated insights, and LOD expressions to accelerate analysis</li><li>Master Tableau Prep Builder, Server, and advanced analytics, including time series and geospatial</li></ul><h4>Book Description</h4>Master the full capabilities of Tableau to design, build, and scale modern data visualization and business intelligence solutions.
This book takes you beyond the basics to help you create advanced Tableau dashboards, perform efficient data preparation with Tableau Prep Builder, and deliver impactful analytics across your organization. Through practical examples, you’ll learn how to turn raw data into meaningful insights using proven Tableau data visualization techniques.
As you progress, you’ll work with calculated fields and LOD expressions to build more flexible and powerful analyses. You’ll also explore performance optimization, deployment, and collaboration using Tableau Server, along with best practices for data governance and security in enterprise environments.
In addition, the book covers AI-powered Tableau features that enhance analysis and accelerate insight discovery. You’ll apply advanced techniques such as time series analysis, geospatial analytics, and data modeling, and extend Tableau’s capabilities through Python and R integration for more sophisticated analytics workflows.
By the end of this book, you’ll be equipped to build scalable, high-performance Tableau analytics solutions, enabling you to solve complex business problems with confidence.<h4>What you will learn</h4><ul><li>Learn Tableau components like calculated fields and LOD expressions</li><li>Master Tableau Prep Builder with all its features and settings</li><li>Explore and implement data analytics with Python and R</li><li>Use Tableau Exchange for accelerators, extensions, and connectors</li><li>Interact with Tableau Server to understand its functionalities</li><li>Study advanced visualizations and dashboard creation techniques</li><li>Master self-service, time series, and geo-spatial analytics</li><li>Learn to implement data governance and AI-powered features</li></ul><h4>Who this book is for</h4><p>This book is designed for business analysts, business intelligence professionals, and data analysts who want to master Tableau to solve a range of data science and business intelligence problems. Prior exposure to Tableau will help you get to grips with the features more quickly, but it’s not a prerequisite.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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                <item>
            <title><![CDATA[ Histoire illustrée de l'informatique Ed. 4 ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Lazard, Emmanuel<br/> 
            Editeur : EDP Sciences<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9782759839773.jpg" /></a></p>
            <p><p>Comment fut invent&eacute; l&rsquo;ordinateur ?</p>
<p>Comment notre monde s&rsquo;est-il num&eacute;ris&eacute; ?</p>
<p>Qui sont les h&eacute;ros de cette aventure ?</p>
<p>Comment s&rsquo;inscrit-elle dans l&rsquo;&eacute;volution de l&rsquo;humanit&eacute; ?</p>
<p>Conna&icirc;tre l&rsquo;histoire de l&rsquo;informatique rel&egrave;ve d&eacute;sormais de la culture g&eacute;n&eacute;rale. De la machine d&rsquo;Anticyth&egrave;re au cyberespionnage et aux Big Data, des cartes perfor&eacute;es &agrave; l&rsquo;Internet, des tabulatrices aux tablettes, des algorithmes &agrave; l&rsquo;IA, ce livre vous propose un voyage dans le temps, une arch&eacute;ologie de notre environnement num&eacute;rique.</p>
<p>Laissez-vous emporter dans cette lecture passionnante, o&ugrave; chacun retrouvera ou d&eacute;couvrira ces merveilleuses cr&eacute;ations de l&rsquo;esprit humain.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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            <title><![CDATA[ Operational AI with Docker : Deploy, scale, and operate agentic AI services with Docker and Kubernetes ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Raina, Ajeet Singh<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781807301088.jpg" /></a></p>
            <p><p><b>Run production-grade GenAI workloads by containerizing, serving, and scaling LLMs, agents, and multi-model pipelines with Docker, MCP, and Kubernetes for cloud platforms</b></p><h4>Key Features</h4><ul><li>Deploy and operate local and edge-friendly LLM inference using Docker Model Runner and an OpenAI-compatible API</li><li>Orchestrate multi-model and multi-agent workloads with Docker Compose and Kubernetes patterns used by platform teams</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>Modern AI systems don’t fail at modeling; they fail in production. Moving from experiments to reliable, scalable systems requires more than notebooks and scripts. It requires infrastructure.
Operational AI with Docker shows you how to build, deploy, and operate AI systems that work beyond a single machine. You’ll learn how to use Docker as a consistent runtime for machine learning workflows, package models as reproducible artifacts, and run them reliably across environments.
Starting with containerized machine learning, you’ll progress to model serving, AI deployment, and scalable infrastructure using Kubernetes. You’ll implement production-ready patterns for resource management, autoscaling, observability, and performance tuning, ensuring your AI workloads remain stable under real-world conditions.
The book goes beyond traditional MLOps by introducing agentic AI systems, including autonomous agents, multi-agent architectures, and secure execution environments. You’ll also explore modern integration patterns using the Model Context Protocol (MCP), enabling AI systems to interact safely with tools, APIs, and data sources.
By the end of this book, you’ll be able to design and operate production AI systems that are reproducible, scalable, and ready for real-world deployment using Docker and Kubernetes.<h4>What you will learn</h4><ul><li>Containerize GenAI services using Docker images, registries, and Compose-based deployment stacks</li><li>Package and distribute models as OCI artifacts for repeatable builds and controlled promotions across environments</li><li>Choose GGUF quantization levels to balance cost, latency, and accuracy for cloud and hybrid runtimes</li><li>Serve LLMs via Docker Model Runner with an OpenAI-compatible API suitable for internal platforms</li><li>Integrate tools and data securely using MCP and Docker MCP Gateway with least-privilege access patterns</li></ul><h4>Who this book is for</h4><p>Cloud engineers, DevOps engineers, SREs, and platform engineers who need to deploy, operate, and scale GenAI workloads using Docker and Kubernetes on cloud, hybrid, or edge environments. You should be comfortable with the command line and basic service operations; prior Docker or Kubernetes exposure is helpful but not required.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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            <title><![CDATA[ AI Driven Swift Architecture : Build modern iOS SwiftUI apps with Foundation Models, MCP agents, Clean Architecture, and TDD ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Sassi, Walid<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781835886557.jpg" /></a></p>
            <p><p><b>Build future ready iOS apps with Apple Foundation Models, MCP agents, Claude Code, and AI guided testing to ship code faster

</b></p><h4>Key Features</h4><ul><li>Build SwiftUI apps powered by Apple Foundation Models and on-device intelligence</li><li>Apply MCP workflows to create AI-driven feature agents in real projects</li><li>Master Clean Architecture, TDD, and modernization with Claude Code support</li></ul><h4>Book Description</h4>AI isn’t replacing engineers, it’s developers collaborating with intelligent tools to build stronger, safer, and more maintainable applications. AI Driven Swift Architecture is your practical guide to help intermediate and senior iOS developers confidently embrace the next era of Apple development.

This book takes you on an unfiltered journey into modern Swift development with Swift 6 concurrency, SwiftUI, and Clean Architecture at its core. You’ll learn how Claude Code and advanced AI assistants can accelerate feature development, improve architectural decision-making, and transform testing into a collaborative workflow.

You will explore Apple’s new on-device foundation models for private, offline intelligence and put the Model Context Protocol (MCP) into practice by building custom MCP servers in Swift. From AI-powered legacy modernization to governance workflows with Request for Comments and Architecture Decision Record, every chapter focuses on real code, real patterns, and real outcomes.

Whether you’re modernizing existing UIKit systems or designing scalable SwiftUI architectures from scratch, this book will offer you a repeatable workflow for shipping future ready iOS apps feature by feature, agent by agent, and test by test.

<h4>What you will learn</h4><ul><li>Configure Xcode workflows for AI assisted Swift workflows</li><li>Apply Swift concurrency patterns with AI guided reasoning</li><li>Design SwiftUI features using Clean Architecture boundaries</li><li>Learn to use Claude Code to drive TDD, refactors, and code reviews</li><li>Modernize UIKit codebases with safe, incremental migrations</li><li>Integrate Apple Foundation Models for private on device AI</li><li>Build MCP servers in Swift to power feature focused agents</li><li>Write RFCs and ADRs to govern AI adoption in iOS teams</li></ul><h4>Who this book is for</h4><p>This book is for intermediate to senior Swift developers who build and maintain iOS apps and want to adopt AI tools without sacrificing quality. If you are responsible for architecture, testing strategy, or modernization roadmaps, you will learn patterns that scale from a single feature to a full team workflow. Familiarity with Swift and Xcode is recommended.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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            <title><![CDATA[ Practical Debugging for Embedded ARM Systems : Core techniques for tracing, profiling, and fixing system-level faults ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Vidovic, Nino<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806673100.jpg" /></a></p>
            <p><p><b>Learn advanced debugging techniques for embedded ARM systems and uncover how to trace, profile, and analyze firmware issues using professional tools in real-world scenarios

Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*</b></p><h4>Key Features</h4><ul><li>Explore advanced debugging tools like hardware tracing and power profiling</li><li>Learn techniques for analyzing bootloaders, RTOS, and memory issues</li><li>Apply practical debugging workflows based on ARM Cortex-M firmware examples</li></ul><h4>Book Description</h4>Are you truly unlocking the full potential of your embedded debugging tools? This hands-on guide cuts through the confusion of common workflows and shows you how to trace, profile, and debug ARM-based systems like a professional firmware engineer.
Written by an industry expert, this book guides you through practical debugging scenarios using real hardware setups. You’ll explore both essential and advanced techniques, from setting breakpoints and analyzing memory to using hardware tracing, power profiling, and RTOS awareness. Through real-world crash analysis, you'll learn how to detect stack overflows, communication errors, memory leaks, and more.
You will explore practical examples based on ARM Cortex-M target devices, which help you build structured and efficient debugging workflows. The learned skills can then be easily applied to other chip architectures as well. You’ll walk away with a clear understanding of the tools available, how to apply them in complex firmware projects, and the confidence to tackle even the most elusive bugs in production systems.
Whether you’re refining your setup or debugging embedded systems at scale, this book will sharpen your skills and elevate your embedded development workflow.

*Email sign-up and proof of purchase required<h4>What you will learn</h4><ul><li>Set up a debugging workflows for ARM-based embedded systems</li><li>Trace firmware execution using hardware tools</li><li>Analyze stack, memory, and registers</li><li>Debug bootloaders and bare-metal applications confidently</li><li>Identify issues with power, interrupts, or RTOS</li><li>Detect memory leaks</li><li>Apply crash analysis techniques in real-world scenarios</li><li>Use live symbol tracking and code profiling tools</li></ul><h4>Who this book is for</h4><p>This book is ideal for embedded developers and firmware engineers working with ARM-based systems who want to improve their debugging workflows. It is not just a beginner’s guide, but a practical resource for those already familiar with building and programming embedded firmware. Whether you’re debugging bootloaders, analyzing RTOS behavior, or using advanced hardware tools, this book will help you streamline your workflow and solve complex issues with confidence.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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                <item>
            <title><![CDATA[ Agentic Coding with Claude Code : The everyday developer's guide to agentic coding with Claude Code ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Marco, Eden<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806022588.jpg" /></a></p>
            <p><p><b>Move beyond prompt-based coding by using Claude Code to design reliable, agent-driven workflows and build production-ready full-stack applications</b></p><h4>Key Features</h4><ul><li>Learn Claude Code as a development partner to build custom automations and agentic workflows</li><li>Build and iterate on a Next.js application using Claude Code for AI-assisted development</li><li>Scale AI-assisted development with Claude Code while maintaining code quality</li></ul><h4>Book Description</h4>Most developers encounter Claude Code through chat-style prompting, but that approach breaks down as projects grow and automation must be safe, repeatable, and controlled. Agentic Coding with Claude Code shows how to move beyond ad hoc prompts and use Claude Code as an extensible, agent-driven development platform.
This book focuses on building context-aware AI workflows directly in your terminal and IDE. You will learn how to control Claude Code using slash commands, manage long-term context with persistent memory files, and automate development tasks using hooks that trigger actions across Claude Code's lifecycle.
The book also covers the Model Context Protocol (MCP) as an important part of the modern agentic ecosystem. You will understand why MCP exists, explore its core architecture, and configure MCP servers inside Claude Code to improve context sharing across tools, agents, and workflows. The trade-offs between MCP, skills, and subagents are discussed to help you choose the right approach.
You will design and orchestrate multi-agent systems using subagents, parallel sessions, and hierarchical delegation. By the end of the book, you will be able to integrate Claude Code into real-world development workflows with confidence and control.<h4>What you will learn</h4><ul><li>Design agentic coding workflows in the terminal and IDE using Claude Code</li><li>Build custom automations with reusable slash commands and hooks</li><li>Use Claude Code with a Next.js project to implement AI-driven workflows</li><li>Create persistent AI memory using Claude Code memory files</li><li>Apply MCP for structured context sharing across tools and agents</li><li>Design multi-agent systems using subagents and orchestration patterns</li><li>Enforce coding standards using project documentation and context control</li><li>Scale AI pair programming while keeping code maintainable</li></ul><h4>Who this book is for</h4><p>This book is for developers and engineers who want to move beyond chat-based AI and build agentic, automated development workflows using Claude Code and MCP.
It is ideal for application developers with prior software engineering experience who want to integrate context-aware AI agents into their terminal and IDE, automate complex tasks, and design scalable multi-agent systems. It will also benefit AI engineers and GenAI users working closely with modern development workflows.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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                <item>
            <title><![CDATA[ Les Rats du Labo ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Erra, Julien<br/> 
            Editeur : EDP Sciences<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9782759837939.jpg" /></a></p>
            <p><blockquote>Que deviennent vos pr&eacute;l&egrave;vements une fois arriv&eacute;s au laboratoire d&rsquo;analyses m&eacute;dicales ?<br />Comment rechercher une maladie dans un tube de sang, des urines et plus si affinit&eacute;s ?<br />Pour avoir une id&eacute;e de ce qui se passe en coulisses, les rats du labo vous font visiter les diff&eacute;rents services et expliquent leurs techniques pour d&eacute;busquer les bact&eacute;ries, pister les virus, faire parler des chromosomes, ou compter les globules rouges.</blockquote>
<p>(le port de gant ou de masque n&rsquo;est pas obligatoire pour la lecture de ce livre).</p>
<div>&nbsp;</div></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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                <item>
            <title><![CDATA[ Programming Neural Networks with Python : A Practical Guide to Neural Networks, Deep Learning, and TensorFlow ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Inc, Rheinwerk Publishing,<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781807782443.jpg" /></a></p>
            <p><p><b>Learn how to design and implement neural networks using Python and TensorFlow. This book covers neural network fundamentals, machine learning, and deep learning techniques with practical, real-world applications.</b></p><h4>Key Features</h4><ul><li>Hands-on coding examples using Python and TensorFlow to implement neural networks</li><li>Comprehensive coverage of deep learning concepts, from simple networks to complex architectures</li><li>Real-world applications of neural networks in image recognition, classification, and more.</li></ul><h4>Book Description</h4>This book offers a comprehensive guide to understanding and programming neural networks and deep learning. Starting with the basics, readers will learn how to build neural networks using Python and TensorFlow. By the end, they’ll master key algorithms and techniques to apply them to real-world machine learning challenges. The book walks through the development of simple perceptrons and progresses to complex multilayer networks, showing how deep learning methods work in practice. The evolution of neural networks is explored, from the origins of artificial neurons to cutting-edge deep learning architectures. Along the way, readers will learn about the different types of neural networks, including convolutional and transformer networks. The book also delves into optimization techniques like gradient descent and backpropagation. Hands-on coding exercises ensure practical learning, preparing readers to implement neural networks for tasks like image recognition, natural language processing, and data classification. By the end of the book, readers will be equipped to apply neural networks to solve diverse AI problems effectively.<h4>What you will learn</h4><ul><li>Understand the basics of neural networks and their applications in AI</li><li>Implement a simple neural network using Python and TensorFlow</li><li>Use advanced techniques like gradient descent and backpropagation for optimization</li><li>Explore deep learning and convolutional networks for complex tasks</li><li>Master the core algorithms used in deep neural networks</li><li>Learn how to implement learning in multilayer networks</li></ul><h4>Who this book is for</h4><p>Ideal for beginners and intermediate Python developers with an interest in machine learning, this book assumes a basic understanding of programming and Python. It’s designed for readers who wish to dive deeper into the theory and practical application of neural networks and deep learning. The prerequisites include basic knowledge of Python and an understanding of fundamental concepts in machine learning. No prior experience with TensorFlow or neural networks is required.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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                <item>
            <title><![CDATA[ Apprendre à coder autrement : 6 tutos pour allier programmation et couture Ed. 1 ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Poussin, Régine<br/> 
            Editeur : Eyrolles<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9782416024337.jpg" /></a></p>
            <p>
          <p>De la couture à la programmation, il n’y a qu’un fil. À travers ces 6 tutoriels illustrés étapes par étapes, apprends les bases du codage Arduino, de l’électronique et de la couture pour créer tes propres accessoires de fashion tech. Chaque projet contient son lot de défis pour encourager la créativité et l’approfondissement des connaissances. Que ce soit un bijou, un porte-clé ou un vêtement, personnalise tes créations en fonction de tes goûts et tes envies.</p>
<p>Apprends les bases du codage Arduino en 6 activités créatives !<br />Tuto 0 Un bracelet lumineux<br />Tuto 1 Un porte-clé musical<br />Tuto 2 Un collier qui change de couleur en fonction de ton humeur<br />Tuto 3 Une poche à LED pour écrire des messages<br />Tuto 4 Une trousse magique<br />Tuto 5 Une ceinture avec des LED qui scintillent</p>
        </p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
        </item>
                <item>
            <title><![CDATA[ Mastering Unreal Engine 5 Game Development with C++ Scripting : Build efficient, scalable gameplay systems using advanced C++ in UE5 ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Secchi, Marco<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806665921.jpg" /></a></p>
            <p><p><b>Advance your gameplay programming skills by mastering Unreal Engine 5 C++ scripting for efficient, scalable, and high-performance systems
Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* </b></p><h4>Key Features</h4><ul><li>Write efficient C++ code for scalable gameplay systems in Unreal Engine 5</li><li>Optimize performance using advanced engine systems and architecture techniques</li><li>Apply concepts through a real-world project to build production-ready gameplay</li></ul><h4>Book Description</h4>Modern game development demands performance, scalability, and control that visual scripting alone cannot provide. Unreal Engine 5’s C++ system offers this power, but mastering it requires a deeper understanding of engine architecture and gameplay design. 
In this book, you’ll learn how to use C++ to build efficient gameplay systems, optimize performance, and structure scalable game architectures. You’ll explore core engine systems, implement complex logic, and use profiling and debugging techniques to refine and improve your code. 
Guided by real-world examples and a practical project, you’ll apply these concepts in realistic development scenarios, gaining the confidence to manage complexity and make informed technical decisions. By the end of this book, you’ll be able to design, develop, and optimize advanced gameplay systems in Unreal Engine 5 using C++. 
*Email sign-up and proof of purchase required <h4>What you will learn</h4><ul><li>Write clean, optimized C++ code for Unreal Engine 5</li><li>Work with Unreal Engine architecture for scalable systems</li><li>Use pointers efficiently to improve runtime performance</li><li>Apply event-driven programming with C++ and Blueprints</li><li>Use Unreal Engine macros to extend gameplay systems</li><li>Build Blueprint-accessible, optimized C++ components</li><li>Implement data-driven gameplay systems in real projects</li></ul><h4>Who this book is for</h4><p>This book is for experienced Unreal Engine developers and gameplay programmers looking to deepen their C++ expertise and build scalable, high-performance gameplay systems. A solid understanding of Unreal Engine and C++ is required.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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            <title><![CDATA[ OpenClaw AI in Production : Architecture, design patterns, and engineering practices for AI agent platforms ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Huang, Ken<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781807785000.jpg" /></a></p>
            <p><p><b>Build production grade AI agent platforms on OpenClaw with security, state management, and resilience patterns that are held under real load
DRM-free PDF version + access to Packt's next-gen Reader*</b></p><h4>Key Features</h4><ul><li>Apply a reusable pattern language, from Hub and Spoke to Heartbeat Loop across any agent stack</li><li>Embed zero trust identity, PBAC, and fault injection into your architecture from the first chapter</li><li>Deploy OpenClaw with observable, self correcting infrastructure ready for federated and edge runtimes</li></ul><h4>Book Description</h4>Shipping a working agent prototype is easier than keeping it reliable under concurrent sessions, real-world tool failures, and adversarial inputs. Most AI tutorials leave this engineering discipline unaddressed.
This book works through that discipline using OpenClaw, an open-source AI agent operating system, as a practical reference platform. Each chapter opens with a realistic production challenge, such as a cascade failure or a prompt injection attempt, then dissects the relevant OpenClaw internals, identifies the pattern that addresses it, and closes with an implementation checklist and a hands-on exercise.
You will move through the six-phase request pipeline, distributed session state and compaction, zero-trust identity and policy-based access control, hook-based observability and self-correcting stacks, chaos engineering for agent runtimes, and high-throughput concurrency patterns. Security is not treated as a final chapter. Token exchange, mTLS, and sandboxing appear throughout the book and within every architectural section, just as they should in the systems you build.
By the end, you will be able to design, operate, and scale production AI agent platforms with the engineering rigor of distributed databases and service meshes, and extend them to federated, edge-deployed, and decentralized architectures.
*Email sign-up and proof of purchase required<h4>What you will learn</h4><ul><li>Design a Gateway control plane that scales horizontally without coupling</li><li>Route requests through a six-phase pipeline without creating latency bottlenecks</li><li>Implement zero-trust identity and Token Exchange as structural, not add-on, concerns</li><li>Manage distributed session state with safe compaction and CRDT-friendly design</li><li>Instrument agent reasoning with semantic observability beyond uptime monitoring</li><li>Inject faults deliberately to verify that resilience patterns hold under load</li><li>Extend OpenClaw toward federated gateways and decentralized identity meshes</li></ul><h4>Who this book is for</h4><p>AI engineers, platform architects, and senior software engineers building autonomous agent systems in production. Readers should be comfortable with Python, distributed systems concepts, and REST or WebSocket APIs. Familiarity with OpenClaw's core architecture and components is recommended, as the book focuses on production implementation patterns rather than introductory concepts.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
        </item>
                <item>
            <title><![CDATA[ Full-Stack React, TypeScript, and Node : Build scalable and cloud-ready web applications using modern React, TypeScript, and Docker ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Choi, David<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781803243009.jpg" /></a></p>
            <p><p><b>Explore the evolving landscape of full-stack development with the latest web technologies to build production-ready React applications and deploy them using Docker on AWS.</b></p><h4>Key Features</h4><ul><li>New Update: Chapters on monitoring, observability, and AI-assisted development</li><li>Master the architecture of React 19 and modern single-page applications (SPAs)</li><li>Containerize with Docker and Podman, automate workflows with CI/CD and deploy to the cloud</li></ul><h4>Book Description</h4>In the fast-paced world of web development, React is a widely used library for building applications, while Node.js and Express support scalable server-side solutions and web services. TypeScript enhances JavaScript projects with robustness and maintainability, making it an essential tool for large-scale applications.
This edition provides a hands-on guide to mastering these technologies, with new chapters and updated content that reflects current industry practices. Begin with a solid foundation in TypeScript to build high-quality web applications. Explore React 19, leveraging the Hooks API and Redux Toolkit for state management. Then transition to server-side development with Express, incorporating modern practices like JWT-based authentication and Prisma ORM for database management. A major focus of this edition is production readiness. Learn how to containerize your application with Docker and Podman, automate builds and tests with GitHub Actions, and deploy to the cloud.
New chapters add monitoring and observability with OpenTelemetry and Grafana plus a hands-on guide to AI-assisted development with LLM coding agents. Other updates include Vitest for testing and expanded content on Postgres and Prisma ORM.
By the end of this book, you will have built and deployed a comprehensive full-stack application, ready for production.<h4>What you will learn</h4><ul><li>Build a full-stack application using React 19, TypeScript, and Node.js</li><li>Apply TypeScript's key features to improve code quality and maintainability</li><li>Build React apps with functional components, Hooks and Redux Toolkit</li><li>Test frontend and backend code with Vitest and React Testing Library</li><li>Set up an Express API with PostgreSQL and Prisma from scratch</li><li>Secure your API with JWT authentication and authorization</li><li>Containerize applications with Docker and Podman, then deploy to the cloud with CI/CD</li><li>Add monitoring and observability, and explore AI-assisted development</li></ul><h4>Who this book is for</h4><p>This book is designed for experienced developers who are new to full-stack web development. It is ideal for those with production programming experience in any language looking to transition into building full-stack applications using modern web technologies. A good understanding of JavaScript is required.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
        </item>
                <item>
            <title><![CDATA[ AI for Everyday Automation : 7 AI workflows to save hours at work every week ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Sarkar, Dipankar<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781808089800.jpg" /></a></p>
            <p><p><b>Build smarter daily workflows with ChatGPT, Claude, and Perplexity to boost productivity </b></p><h4>Key Features</h4><ul><li>Learn practical AI workflows for communication, research, reporting, coordination, and data analysis</li><li>Master ready-to-use prompts, templates, and AI workflow patterns with tools like ChatGPT, Claude, and Perplexity</li><li>Build reliable daily AI productivity routines that speed up repetitive work</li></ul><h4>Book Description</h4>Most professionals spend their days juggling a constant flow of information, communication, and coordination. Individually, these tasks seem small. Together, they consume hours every week. AI for Everyday Automation shows you how to use AI to turn these recurring responsibilities into practical, repeatable workflows.

Using tools like ChatGPT, Claude, and Perplexity, this book walks you through seven practical workflows for automating emails, meetings, research, reports, task tracking, spreadsheets, content creation, and professional communication. Each workflow includes prompts, templates, and step-by-step guidance that you can immediately apply to your own work.

By the end of the book, you’ll have a set of repeatable AI-assisted systems that help you save time, reduce repetitive work, and get through your workday with far less friction.<h4>What you will learn</h4><ul><li>Automate email triage and response drafting using AI-assisted workflows</li><li>Generate meeting summaries, action items, and follow-ups in minutes</li><li>Conduct research and create structured briefs faster with AI tools</li><li>Build reports, proposals, and business documents using reusable prompt chains</li><li>Extract tasks and status updates automatically from conversations and meeting notes</li><li>Analyze spreadsheets and messy data without advanced Excel skills</li><li>Create professional content and communications faster while maintaining your personal voice</li></ul><h4>Who this book is for</h4><p>This book is for professionals who spend a large part of their day handling emails, meetings, reports, research, spreadsheets, and coordination work. It’s designed for readers who have experimented with AI tools but want practical ways to turn them into reliable everyday productivity systems. No technical background is required. The book focuses on simple, repeatable workflows that can be applied immediately in a real work environment. </p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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                <item>
            <title><![CDATA[ Learning Spring Boot 4 : Simplify the development of production-grade applications using Java and Spring ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Xesquevixos, Wanderson<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781807427108.jpg" /></a></p>
            <p><p><b>Build Java web apps swiftly with this fourth edition of the best-selling Spring Boot guide for beginners, updated and enhanced with defining features of Spring Boot 4</b></p><h4>Key Features</h4><ul><li>Learn Spring Boot in a cohesive manner with this practical guide</li><li>Discover popular Java developer tools such as GraalVM native images, serving up JSON, and more</li><li>Build secure, observable, and scalable web applications from zero to production</li></ul><h4>Book Description</h4>Spring Boot 4 brings more than just the powerful ability to build secure web apps on top of a rock-solid database. It delivers Jackson integration, support for JSpecify, an enhanced retry mechanism, and updated actuator defaults, along with ways to squeeze out more efficient usage of existing resources.
This fourth edition of the bestseller starts off by helping you build a simple app, and then shows you how to secure, test, bundle, and deploy it to production. Then, you’ll familiarize yourself with the ability to go “native” and release using the latest version of GraalVM. As you advance, you’ll explore reactive programming and get a taste of scalable web controllers and data operations.
Additionally, this edition includes brand-new topics, including virtual threads, concurrency, and observability, as well as building intelligent applications with Spring AI.
If you want to gain a thorough understanding of building robust, modern applications using the core functionality of Spring Boot, then this is the book for you. By the end, you’ll be able to build an entire suite of web applications using Spring Boot and deploy them to any platform you need.<h4>What you will learn</h4><ul><li>Create powerful, production-grade web applications with minimal fuss</li><li>Support multiple environments with one artifact, and add production-grade support</li><li>Enhance the security model of your apps</li><li>Build intelligent applications with Spring AI</li><li>Write everything from lightweight unit tests to fully running embedded web container integration tests</li><li>Take advantage of the enhanced observability capabilities of Spring Boot 4</li><li>Get a glimpse of reactive programming and decide if it's the right approach for you</li></ul><h4>Who this book is for</h4><p>This book is for both novices and experienced Spring developers looking to learn how to build applications without wasting time on infrastructure and other tedious details. Working knowledge of the Java programming language is assumed.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
        </item>
                <item>
            <title><![CDATA[ (ISC)2 Certified in Cybersecurity (CC) Exam Guide : Master core security concepts and pass the ISC2 Certified in Cybersecurity (CC) exam ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Doshi, Hemang<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781807301927.jpg" /></a></p>
            <p><p><b>Pass the ISC2 CC Certified in Cybersecurity exam with clear lessons, domain-focused practice, and full mock tests aligned to the official exam outline.</b></p><h4>Key Features</h4><ul><li>Study each CC objective with beginner-first explanations</li><li>Check your understanding of key concepts with topic quizzes that include scenario-based MCQs</li><li>Prepare for the CC exam with 2 mock exams of 125 questions each, flashcards, and exam tips</li><li>Use blueprint mapping, topic-wise MCQs, and rapid checklists for revision</li></ul><h4>Book Description</h4>Prepare for the ISC2 Certified in Cybersecurity (CC) exam without getting buried in jargon. Written by Hemang Doshi (CA, CISA, CC), an IT auditor and ISO 27001 lead auditor, this guide explains each objective in plain language.
You’ll cover disaster recovery and incident response; access controls; network security; and security operations, sequenced to build confidence and reinforced with frequent checks for understanding. The book coverage reflects the 2025 exam, including the 2-hour, 100–125 item CAT format.
To help you practice the way the exam asks questions, you get topic-wise review MCQs, 50–100 flashcards, 25 focused exam tips, and two full 125-question mock exams with explanations. By the end of the course, you will be able to evaluate basic cybersecurity risks, select appropriate controls, and explain key cybersecurity concepts.<h4>What you will learn</h4><ul><li>How to apply the CIA triad, authentication, and privacy concepts</li><li>Basic risk assessment and choosing suitable cybersecurity methods</li><li>How to classify administrative, technical, and physical controls</li><li>Business continuity, disaster recovery, and incident response</li><li>The implementation of least privilege, RBAC, and the segregation of duties</li><li>How to recognize common network attacks and apply core safeguards</li><li>Encryption, data handling, and logging to support operations</li></ul><h4>Who this book is for</h4><p>Students and early-career IT professionals who want a structured, beginner-friendly route to the ISC2 CC exam and entry-level cybersecurity roles. Basic computer literacy helps, but no prior security experience is required.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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                <item>
            <title><![CDATA[ Multimodal Generative AI in the Enterprise: From Pixels to Profit : A Practitioner's Guide to Building Image, Audio, and Video Generation Applications ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Tschochohei, Maximilian<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806111664.jpg" /></a></p>
            <p><p><b>Build and deploy enterprise-grade multimodal AI systems using generative models for text, image, audio, and video.</b></p><h4>Key Features</h4><ul><li>Design end-to-end multimodal AI systems for enterprise workloads</li><li>Build scalable pipelines using Gemini, Veo, Imagen, Airflow, and Kubeflow</li><li>Implement governance, safety, and compliance for AI-generated content</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>The Multimodal AI Playbook equips enterprise developers and ML engineers with the practical skills needed to build real-world generative systems using text, image, audio, and video models. This book offers a complete stack approach—starting from theory and progressing through tooling, orchestration, governance, and full-scale deployment.

Beginning with the foundations of multimodal learning and generative AI models, you’ll explore how to generate modality-specific content while navigating key trade-offs in model selection, scalability, and orchestration. With a dedicated focus on enterprise use cases like automated marketing campaigns, the book shows how to manage model outputs responsibly covering bias detection, IP risk, and content safety.

You'll implement a full pipeline using enterprise-ready models such as Gemini, Veo, and Imagen. With forward-looking chapters on real-time generation, 3D assets, and multimodal agents, this book bridges the gap between technical mastery and business impact- preparing you to lead in the AI-first future. <h4>What you will learn</h4><ul><li>Design full-stack multimodal AI architectures</li><li>Generate text, image, audio, and video content</li><li>Build automated AI-powered marketing workflows</li><li>Compare and fine-tune leading multimodal models</li><li>Deploy AI pipelines with Airflow and Kubeflow</li><li>Implement AI safety, governance, and compliance</li><li>Create real-time and 3D multimodal experiences</li><li>Integrate AI with enterprise cloud platforms</li></ul><h4>Who this book is for</h4><p>Software engineers, ML engineers, data scientists, technical product managers, and solution architects looking to build and deploy multimodal generative AI systems in production. Professionals familiar with Python, machine learning concepts, and cloud platforms such as AWS, Azure, or GCP will gain practical guidance for implementing scalable, enterprise-ready AI solutions.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
        </item>
                <item>
            <title><![CDATA[ How to Sell to the CIO and CISO : ?An insider's guide to building trust and gaining executive buy-in ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Gee, David J.<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781807300784.jpg" /></a></p>
            <p><p><b>Selling to CIOs and CISOs isn't easy. Learn how internal champions drive change and how trusted vendors consistently win C-suite deals.</b></p><h4>Key Features</h4><ul><li>Understand what CIOs and CISOs truly prioritize when selecting vendors</li><li>?Build and enable champions who influence decisions from within</li><li>?Learn how to become a trusted partner to the C-Suite</li><li>?Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>The days of the 'polished pitch' are dead. You can’t just show up with a slick slide deck and expect a CIO or CISO to be impressed. Today’s tech leaders are juggling digital transformation and risk management while trying to cut costs and keep the board happy. They don't have a spare second for a generic sales pitch that doesn't "get" their reality. To win today, you have to shift your perspective. You need to understand how these leaders actually make decisions, what’s keeping them up at night, and how internal politics can stall even the best ideas.
With insights from a plethora of cross-industry CIOs and CISOs, this book is your guide to seeing the world through the eyes of the C-suite. Taking you through the entire sales journey, from initial contact to walking into the office of the CIO or CISO, from gap analysis to contracting, you will learn what executives look for beyond the demo, how to empower internal champions to fight for you, and how to earn real credibility. You will know how to shift every conversation from feature-talk to outcome-talk, anchoring your value to the metrics that really matter to the board.
?The C-suite sale isn't about pressure, it’s about understanding people and helping them succeed. This book is essential reading for anyone navigating high stakes enterprise technology sales.<h4>What you will learn</h4><ul><li>How CIOs and CISOs evaluate vendors beyond features and price</li><li>?The real priorities driving C-suite technology buying decisions</li><li>?How to identify and enable champions who advocate from within</li><li>?The language of outcomes that resonate with executive buyers</li><li>?Practical frameworks for navigating C-suite sales conversations</li><li>?Learn to sell into major transformations</li><li>?How to build trust that goes beyond the contract and the close</li></ul><h4>Who this book is for</h4><p>?This book provides a practical guide to mastering the C-suite technology sale, written for account executives and sales leaders who struggle to close with CIOs and CISOs, and for internal champions who want to build influence, drive strategic decisions, and grow their career from within. Unlike most sales books, this is written by someone who has seen both sides of this process, as a former CIO, CISO, and an internal champion, and someone who has sold consulting services, products, and business cases.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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            <title><![CDATA[ Hands-On Image Processing and Computer Vision with Python : From image processing fundamentals to modern computer vision and generative AI ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Dey, Sandipan<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781837634897.jpg" /></a></p>
            <p><p><b>Explore the world of image processing, computer vision, and generative AI with Python—from fundamental concepts and classical methods to deep learning, modern vision systems, and real-world visual content generation.
Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*</b></p><h4>Key Features</h4><ul><li>Master end-to-end image processing and computer vision workflows using Python</li><li>Build visual AI systems with classical, deep learning, and generative AI techniques</li><li>Apply theory with production-ready implementations using leading Python libraries</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>Analyzing and understanding visual data has become essential in modern applications such as healthcare, security, remote sensing, manufacturing, and digital media. This book provides a hands-on guide to image processing and computer vision using Python, following a practical approach that bridges theory with implementation.
As you progress through the chapters, you will develop proficiency in Python 3 and implement algorithms spanning classical image processing, modern computer vision, and state-of-the-art (SOTA) deep learning and generative AI. The book covers image enhancement, restoration, filtering, segmentation, feature extraction, classification, and object detection using libraries including NumPy, OpenCV, PIL, SciPy, scikit-image, scikit-learn, TensorFlow, Keras, and PyTorch.
Advanced chapters introduce CNNs, Vision Transformers, transformer-based segmentation, modern detection frameworks, GANs, diffusion models, foundation models, image-to-image translation, super-resolution, and multimodal vision-language understanding. Real-world applications span medical imaging, remote sensing, banking, augmented reality, autonomous driving, industrial inspection, and intelligent visual analytics. By the end of the book, you will be equipped to design and implement real-world visual computing solutions.
*Email sign-up and proof of purchase required<h4>What you will learn</h4><ul><li>Build image processing and computer vision pipelines</li><li>Apply image enhancement, restoration, and segmentation</li><li>Implement image classification and object detection models</li><li>Explore CNNs, Vision Transformers, and attention models</li><li>Generate and edit images using GANs and diffusion models</li><li>Develop multimodal vision-language AI applications</li><li>Apply visual AI across diverse real-world domains</li><li>Implement super-resolution, style transfer, and image-to-image translation</li></ul><h4>Who this book is for</h4><p>Python developers, engineers, applied researchers, students, and AI practitioners who want to build end-to-end image processing and computer vision systems. A working knowledge of Python is required, while familiarity with linear algebra, calculus, and basic machine learning concepts will help you get the most from the advanced topics.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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            <title><![CDATA[ Distributed AI Systems : A practical guide to building scalable training, inference, and serving systems for production AI ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Wu, Fuheng<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781807301705.jpg" /></a></p>
            <p><p><b>Learn distributed AI through hands-on experience with training frameworks, inference engines, and orchestration tools to build production-ready training, inference, and serving systems for modern large-scale AI. 
Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*</b></p><h4>Key Features</h4><ul><li>Understand GPU hardware, high-speed interconnects, and parallelism strategies</li><li>Hands-on exercises at the end of every chapter</li><li>Learn distributed training with resource-optimized techniques</li><li>Deploy high-performance inference with advanced optimization and memory management</li><li>Build production serving stacks with job schedulers, orchestration, and observability</li></ul><h4>Book Description</h4>As AI models grow to billions and trillions of parameters, distributed systems are essential for training and serving them. Many resources cover fragments of this domain, but none provide a full path from distributed training to inference and production deployment. This book fills that gap with practical, production-focused examples.
It starts with GPU and memory estimation, data preparation, and an overview of GPU architecture, interconnects, and core parallelism strategies. You’ll learn training techniques including data parallelism for single and multi-node setups, parameter sharding for memory-efficient scaling, and methods to reduce memory usage in large models.
The next section covers distributed inference and deployment. You’ll build high-performance systems using optimized attention, caching, operator fusion, and router-based designs. You’ll deploy on schedulers and container platforms with GPU-aware orchestration and assemble production stacks emphasizing reliability, scalability, and observability.
The final section covers benchmarking, performance tuning, and trends like MoE models, edge-cloud coordination, and advanced parallelism. Each chapter includes tested code and debugging guidance.
By the end, you’ll be able to build distributed AI systems that scale from a single GPU to large clusters.<h4>What you will learn</h4><ul><li>Estimate memory and compute requirements for training and inference</li><li>Understand GPU hardware, interconnects, and parallelism strategies</li><li>Implement distributed training with parallel and sharded techniques</li><li>Build production inference systems with batching and memory management</li><li>Deploy via cluster orchestration with optimized GPU scheduling</li><li>Create production serving stacks with routing and observability</li><li>Benchmark distributed systems using industry-standard methodologies</li><li>Explore emerging model trends, scaling strategies, and future paths</li></ul><h4>Who this book is for</h4><p>This book is designed for ML engineers, AI researchers, and DevOps professionals who need to train or serve large AI models at scale. Platform engineers, HPC cluster administrators, and cloud architects will also find it valuable for advancing their skill sets.
A basic understanding of Python and PyTorch is required to get started. Prior experience with distributed systems, cluster schedulers, or container orchestration is helpful but not necessary - the book introduces these concepts from the ground up, beginning with resource estimation, data preparation, and hardware fundamentals.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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            <title><![CDATA[ System Design for the LLM Era : Patterns and principles for production-grade AI architecture ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Mitra, Sampriti<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781807789923.jpg" /></a></p>
            <p><p><b>STOP building fragile AI wrappers; START designing resilient AI systems.</b></p><h4>Key Features</h4><ul><li>From LLM fundamentals to real-world practicalities</li><li>Patterns and principles for architecting LLM-based systems</li><li>Learn from in-depth case studies</li><li>Decouple from premium models using tiered fallback</li><li>Event-driven architectures for decoupling high-latency agentic workflows</li><li>Cost management approaches</li><li>Security strategies for LLM systems</li><li>Glossary of LLM and AI systems design terminology included</li></ul><h4>Book Description</h4>Many companies are trying to turn their small AI experiments into big products, but they lack a good plan.
Engineers need a practical guide to building these new AI systems the right way, so that they can handle scale, won't cost too much to build or operate, and perform reliably. 
This book is that guide, combining technical depth with breadth and practicality. Starting from LLM fundamentals, the book details the architectural patterns and design principles needed to build production-grade AI systems. In-depth case studies then show you how to apply them to a range of real-world application scenarios, including AI-native IDEs, adaptive learning platforms, and intelligent search solutions.
The book provides a deep, practical look at the real-world challenges and solutions for building systems with LLMs at their core.<h4>What you will learn</h4><ul><li>Architect a complete, production-grade AI-powered system from scratch</li><li>Design and mitigate the unique challenges of LLM APIs, like high latency and cost</li><li>Implement key software engineering patterns like circuit breakers and rate limiting for AI systems</li><li>Choose the right databases and data models for AI applications, including vector search engines</li><li>Build a scalable and resilient system that can handle high load and ensure user privacy</li></ul><h4>Who this book is for</h4><p>This book will be an invaluable learning resource for engineers, architects and leads working with LLMs or looking to integrate LLMs into their existing systems.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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            <title><![CDATA[ The Ultimate Ethical Hacker's Guide : Build job-ready skills with hands-on labs in recon, exploitation, and professional reporting ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Singh, Glen D.<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806661145.jpg" /></a></p>
            <p><p><b>Develop end-to-end ethical hacking skills with hands-on labs covering reconnaissance, exploitation, and reporting, designed to mirror real security assessments and build job-ready cybersecurity skills</b></p><h4>Key Features</h4><ul><li>Practice ethical hacking through hands-on labs across the full attack lifecycle</li><li>Test modern environments, including wireless and enterprise networks</li><li>Create clear, professional reports from real-world security findings</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>Build practical ethical hacking skills through realistic attack scenarios that reflect how security assessments are performed in real organizations. This book helps you move beyond theory by showing how vulnerabilities are discovered, exploited responsibly, and reported clearly.
Written by Glen D. Singh, a cybersecurity instructor and author with deep experience in offensive security, networking, and security operations, this book emphasizes practical skill development and responsible testing practices. You begin by learning ethical hacking principles, methodologies, and legal considerations before setting up a safe lab. Then you progress through reconnaissance, scanning, and enumeration to understand how attackers gather intelligence and how defenders reduce exposure. You’ll continue with vulnerability assessment, system hacking, malware basics, and network attacks using structured labs. As environments grow more complex, you will explore wireless attacks and the techniques used to assess and secure wireless networks. The final chapters focus on professional reporting and career development, showing how to present findings clearly and ethically. By the end of this book, you will be able to perform ethical hacking engagements from reconnaissance to reporting with confidence.<h4>What you will learn</h4><ul><li>Build and manage a safe ethical hacking lab</li><li>Perform reconnaissance, scanning, and enumeration techniques</li><li>Identify, assess, and prioritize security vulnerabilities</li><li>Exploit systems and networks using ethical methods</li><li>Escalate privileges and maintain access during assessments</li><li>Use industry-standard ethical hacking tools and frameworks</li><li>Create clear technical and executive security reports</li></ul><h4>Who this book is for</h4><p>This book is for aspiring ethical hackers, penetration testers, and cybersecurity professionals who want hands-on experience with ethical hacking techniques, reconnaissance, and security assessment methodologies. Basic knowledge of networking and operating systems is recommended.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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            <title><![CDATA[ Python Automation Cookbook : 100+ new and updated recipes for scalable workflows, MCP integrations, and AI-powered automation ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Buelta, Jaime<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806702886.jpg" /></a></p>
            <p><p><b>Build practical automation skills through an expanded third edition featuring new chapters on AI models, MCP, and intelligent agents, guiding you from core Python workflows to modern agentic automation.</b></p><h4>Key Features</h4><ul><li>Apply proven Python automation recipes to solve real-world tasks</li><li>Integrate AI models and build intelligent agents for business workflows</li><li>Extend automation across systems using MCP and modern integrations</li></ul><h4>Book Description</h4>Automating repetitive tasks and integrating systems efficiently becomes increasingly complex as workflows scale. This book helps you solve that problem with practical Python recipes that guide you from foundational automation to advanced, AI-powered workflows.
You start by building a strong base in Python automation, exploring tested solutions for file handling, web scraping, APIs, testing, and system operations, and learning how to design reliable automation workflows. The cookbook approach enables you to quickly apply solutions to real problems while building a deeper understanding through hands-on practice.
This third edition expands the scope of automation by introducing AI-powered capabilities. You learn how to call AI models within your scripts, use and implement the Model Context Protocol (MCP) for system integration, and design intelligent agents that automate decision-making processes. New chapters provide real-world examples of AI agents in business automation, helping you move beyond scripts to adaptive systems. This book combines practical knowledge with modern techniques to ensure you stay current with evolving automation practices.
By the end of this book, you will be able to design, build, and extend Python automation workflows, including AI-driven solutions, to handle complex real-world tasks with confidence.<h4>What you will learn</h4><ul><li>Automate file, system, and network tasks using Python</li><li>Build robust scripts for web scraping and API integration</li><li>Design scalable automation workflows for real use cases</li><li>Integrate AI models into automation pipelines</li><li>Implement MCP for system-level automation integration</li><li>Develop intelligent agents for business automation</li><li>Apply testing and debugging techniques for automation</li><li>Create real-world AI-driven automation solutions</li></ul><h4>Who this book is for</h4><p>Python developers, automation engineers, DevOps professionals, and system administrators who want to streamline workflows and integrate modern AI capabilities into automation. A basic understanding of Python programming is recommended.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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            <title><![CDATA[ Odoo 19 Development Cookbook : Build production-grade ERP applications with OWL, REST APIs, and scalable server-side logic ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Daudi, Husen<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806113385.jpg" /></a></p>
            <p><p><b>Master Odoo's latest development practices to build powerful, scalable ERP applications with modern integrations, OWL, and frontend tools.
Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*</b></p><h4>Key Features</h4><ul><li>Develop advanced Odoo apps using OWL, integrations, and modular design</li><li>Configure, scale, and maintain secure, multi-user ERP systems</li><li>Test, integrate, and optimize Odoo apps with APIs, profiling, and caching tools</li></ul><h4>Book Description</h4>The Odoo 19 Development Cookbook, Sixth Edition, equips developers to build high-performance, production-ready ERP applications using the most current version of Odoo. Whether you’re working on backend models or crafting interactive frontend components with OWL, this edition delivers practical, developer-focused recipes aligned with the platform’s latest features and architecture.
You’ll explore key workflows such as external integrations, system profiling, advanced debugging, and deploying applications with tools like Odoo.sh. Real-world scenarios guide you through configuration screens, POS customization, and multi-language deployment, helping you navigate and master the evolving Odoo development stack.
This edition introduces expanded coverage of OWL and JavaScript development, external integrations, automated testing, performance profiling, and real-world deployment setups. It also includes new recipes for debugging, POS customization, and integration with legacy systems based on developer feedback and platform updates.
Written with input from leading Odoo experts and shaped by direct user feedback, this updated edition features modern JavaScript development, frontend and backend integration, and scalable architecture, all tailored to the needs of ERP professionals building production systems.
*Email sign-up and proof of purchase required<h4>What you will learn</h4><ul><li>Set up a reliable and scalable Odoo development environment</li><li>Build reusable models, views, and OWL components</li><li>Use RPC APIs and controllers to integrate external platforms</li><li>Extend the Odoo POS with new UI features and logic</li><li>Optimize app performance through profiling and caching</li><li>Secure apps with roles, permissions, and visibility rules</li><li>Manage configuration and deployment using Odoo.sh workflows</li><li>Debug backend and frontend flows with real-time tooling</li></ul><h4>Who this book is for</h4><p>This book is for Python and JavaScript developers building or extending ERP applications with Odoo. It’s ideal for newcomers seeking practical guidance and experienced developers adapting to recent platform changes. A working knowledge of Python and basic web technologies is recommended.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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            <title><![CDATA[ Practical LLM Evaluation for Production Systems : Measure, monitor, and improve AI system reliability across training and inference ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Mohanna, Ammar<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781807423889.jpg" /></a></p>
            <p><p><b>Build reliable Build reliable AI evaluation frameworks that measure quality, safety, grounding, and production readiness across modern LLM and SLM applications

Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*
</b></p><h4>Key Features</h4><ul><li>Design evaluation frameworks for LLMs, SLMs, multimodal, reasoning, and agentic AI systems</li><li>Measure quality, safety, grounding, robustness, and production readiness with practical metrics</li><li>Apply unified evaluation methods to text, multimodal, and agentic AI systems</li></ul><h4>Book Description</h4>Modern AI systems are expected to do far more than generate fluent text. They should be able to retrieve information, reason through complex problems, understand images and documents, call external tools, execute workflows, and support critical business decisions. Evaluating these systems requires methods that go beyond traditional NLP benchmarks.
Taking a product-first approach, this book presents evaluation as a continuous operational capability spanning training, inference, and end-to-end system operation. You'll learn how to connect evaluation metrics directly to deployment gates, rollback criteria, monitoring systems, and production reliability objectives.
Using practical examples and real-world workflows, you'll explore evaluation strategies for text LLMs, vision-language models, multimodal conversational systems, mixture-of-experts architectures, reasoning models, agentic systems, retrieval pipelines, Text2SQL and Text2Cypher systems, embedding models, OCR workflows, and guardrail SLMs. You'll also learn how to manage non-determinism, design repeatable test suites, validate tool execution, and measure long-horizon agent behavior in production.
By the end of the book, you'll be able to design robust evaluation systems that help teams deploy reliable, safe, and economically viable LLM-powered applications with confidence.

*Email sign-up and proof of purchase required
<h4>What you will learn</h4><ul><li>Design repeatable evaluation pipelines for LLM systems</li><li>Assess inference quality, latency, and operational cost</li><li>Evaluate multimodal, agentic, and reasoning AI systems</li><li>Build regression gates and deployment evaluation workflows</li><li>Detect hallucinations and grounding failures in VLMs</li><li>Assess routing stability in mixture-of-experts models</li><li>Evaluate Text2SQL, OCR, and retrieval-based systems</li><li>Translate evaluation signals into production decisions</li></ul><h4>Who this book is for</h4><p>ML engineers, GenAI engineers, AI architects, data scientists, platform engineers, and engineering managers responsible for deploying LLM-powered systems in production will benefit from this book. Applied AI researchers and technical decision-makers looking to measure reliability, safety, and operational readiness across modern AI systems will also find it valuable. Readers should have a working understanding of machine learning, Python, and modern LLM concepts.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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            <title><![CDATA[ AI in UX Design : How UX Designers are Using AI in the Age of Artificial Intelligence ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Pilot, Lise<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781807787585.jpg" /></a></p>
            <p><p><b>Move beyond AI hype and learn how modern UX designers use ChatGPT, Claude, Figma, Lovable, Replit, and no-code tools to turn insight into tested experiences while keeping judgment, ethics, and users at the center</b></p><h4>Key Features</h4><ul><li>Discover how AI shifts UX from static deliverables to active product orchestration</li><li>Apply prompts for briefs, personas, journeys, requirements, and usability planning</li><li>Prototype earlier with no-code AI tools and reduce handoff risk before build</li></ul><h4>Book Description</h4>AI in UX Design helps practicing designers understand what changes when generative AI becomes part of everyday product work. Rather than treating AI as a shortcut or a threat, this updated and expanded edition shows how to use it as a teammate for framing problems, synthesizing research, drafting artifacts, and learning from users sooner.
Explore how ChatGPT, Claude, Gemini, Figma, Lovable, Replit, v0.dev, Bolt.new, and Base44 fit into modern UX workflows. The book shows how AI can support discovery, personas, JTBD, user flows, requirements, accessibility checks, localization tests, and no-code prototyping.
A real case study follows a marketplace idea from opportunity framing to personas, storyboards, UI flows, a functional prototype, and user validation, showing how designers can move from concept to evidence in hours or days rather than weeks.
The book also addresses the expanding role of UX designers as orchestrators who guide intelligent systems, shape product direction, and collaborate closer to build. With guidance on responsible AI design, transparency, human control, fairness, safety, and accountability, it keeps human-centered design at the core of faster workflows.
Designed for professionals who know UX fundamentals, this book offers a grounded path to working with AI confidently, critically, and creatively.<h4>What you will learn</h4><ul><li>Judge AI outputs as hypotheses, not final answers</li><li>Turn raw research into clearer design briefs</li><li>Draft personas, JTBD, flows, and requirements</li><li>Prototype earlier with Lovable, Replit, and Figma</li><li>Validate ideas with users before engineering begins</li><li>Spot AI bias, hallucinations, and false confidence</li><li>Apply responsible AI principles to UX decisions</li><li>Position your UX role for strategy and ownership</li></ul><h4>Who this book is for</h4><p>This book is for practicing UX designers, product designers, senior designers, and design leaders who understand UX fundamentals and want to adapt their process for a generative AI world. It is ideal for professionals in digital products, SaaS, enterprise software, platforms, and consumer apps who want faster discovery, sharper synthesis, earlier prototyping, and stronger product influence. No AI expertise, coding background, or machine learning knowledge is required; the focus is on practical workflows, judgment, validation, and responsible design.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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            <title><![CDATA[ Godot 4 Best Practices : Practical techniques and strategies for efficient, scalable game development ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Henning, Robert<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781835467824.jpg" /></a></p>
            <p><p><b>Elevate your Godot 4 development skills with SOLID principles, game architecture patterns, and scalable workflows. Learn to create maintainable systems, organize projects, and build release-ready games that grow beyond prototypes

Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*</b></p><h4>Key Features</h4><ul><li>Apply SOLID principles and proven design patterns in Godot 4</li><li>Build scalable game architecture using components, events, and services</li><li>Refactor prototypes into maintainable, production-ready projects</li></ul><h4>Book Description</h4>Many Godot projects start as quick prototypes but become difficult to maintain as they grow. Deep node hierarchies, tightly coupled scripts, and expanding gameplay systems can slow development and make it harder to add features, fix bugs, and ship with confidence. Godot 4 Best Practices addresses those challenges by focusing on architectural practices that help projects stay scalable and maintainable.
You’ll start by applying the SOLID principles to Godot’s node and script model, learning when to choose scenes or scripts, how to keep hierarchies shallow, and when data-driven Resources are a better fit than extra nodes. Next, you’ll implement core design patterns, including signals and notifications for decoupling, state machines, strategy-based AI, and swapping deep inheritance for modular components. You’ll also apply Factories, Builders, Commands, and Services with clear Godot examples, so systems stay flexible and testable. Finally, you’ll structure larger projects with data-driven saves and preferences, as well as layered gameplay architecture to avoid God classes.
By the end, you’ll write cleaner GDScript, organize large scenes with confidence, and build systems that are easier to test, maintain, and extend. No hype—just proven practices for building Godot projects that scale.

*Email sign-up and proof of purchase required<h4>What you will learn</h4><ul><li>Apply SOLID principles in Godot's node and script system</li><li>Decide when to use scenes, scripts, or Resources for logic</li><li>Use signals, State, and Strategy patterns for gameplay logic</li><li>Build modular, component-based systems over inheritance</li><li>Automate instancing with Factory and Builder patterns</li><li>Decouple input, audio, and saves with Command and Service patterns</li><li>Separate logic from data with Resources and data-driven design</li><li>Structure gameplay systems using scalable architectural patterns</li></ul><h4>Who this book is for</h4><p>This book is ideal for intermediate and advanced Godot developers who already know how to make simple games but want to adopt professional practices for larger, more complex projects. It is especially useful for indie developers, technical leads, and small teams who need scalable workflows, as well as educators and advanced students who want to learn how to apply SOLID principles and design patterns in Godot. If you’ve ever struggled with messy prototypes, monolithic scripts, or unscalable Scene Trees, this book will show you how to organize, refactor, and future-proof your projects.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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            <title><![CDATA[ Machine Learning Engineering on AWS : Build, deploy, and operationalize LLMs, AI agents, and generative AI systems on AWS ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Lat, Joshua Arvin<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781835881095.jpg" /></a></p>
            <p><p><b>Solve machine learning engineering challenges for GenAI-powered systems and AI agents on AWS, and automate LLMOps pipelines using Amazon Bedrock, SageMaker AI, Bedrock AgentCore, and Strands Agents.

Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*</b></p><h4>Key Features</h4><ul><li>Build and scale AI agents using Amazon Bedrock AgentCore and Strands Agents</li><li>Fine-tune, evaluate, and deploy ML models using Amazon SageMaker AI</li><li>Automate LLMOps workflows with SageMaker Pipelines</li></ul><h4>Book Description</h4>Modern AI systems increasingly leverage large language models, retrieval-augmented generation, and AI agents to power generative AI applications in the cloud. As organizations operationalize these systems at scale, there is a growing need for engineers with strong machine learning engineering expertise. To stay ahead in this rapidly evolving field, you need a deep understanding of AI and ML concepts as well as, practical, hands-on experience with the platforms and tools used to build and operate production-grade AI systems.
Machine Learning Engineering on AWS is a practical guide that shows you how to use AWS services such as Amazon Bedrock and Amazon SageMaker AI to fine-tune, evaluate, and deploy LLMs and generative AI systems. You'll learn how to develop RAG-powered systems, build and deploy AI agents using Bedrock AgentCore and Strands Agents, evaluate models using LLM-as-a-judge techniques, and automate LLMOps pipelines using SageMaker Pipelines. The book also covers best practices for building scalable, secure, and production-ready GenAI systems.
AWS AI hero Joshua Arvin Lat equips you with the skills and practical knowledge to handle a wide variety of ML engineering requirements, helping you design, operationalize, and secure generative AI systems and AI agents on AWS with confidence.
*Email sign-up and proof of purchase required"<h4>What you will learn</h4><ul><li>Build and deploy AI agents using Bedrock AgentCore and Strands Agents</li><li>Dive deep into ML engineering with Amazon SageMaker AI</li><li>Evaluate model performance using LLM-as-a-judge</li><li>Explore advanced model fine-tuning and deployment using SageMaker AI</li><li>Build RAG-powered systems using Bedrock Knowledge Bases and S3 Vectors</li><li>Modernize analytics with a managed transactional data lake</li><li>Automate LLMOps pipelines using SageMaker Pipelines and AWS Lambda</li><li>Explore best practices for building GenAI systems and AI agents on AWS</li></ul><h4>Who this book is for</h4><p>This book is intended for AI engineers, data scientists, machine learning engineers, and technology leaders who want to deepen their understanding of machine learning engineering, generative AI, large language models, retrieval-augmented generation, AI agents, and MLOps on AWS. A foundational understanding of artificial intelligence, machine learning, generative AI, and cloud engineering concepts is recommended.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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            <title><![CDATA[ LLMs for Modern Software Delivery and DevOps : Applying Large Language Models to Software Delivery and SRE ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Huangliang, Gu<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781807609184.jpg" /></a></p>
            <p><p><b>A practical guide to applying LLMs across the software development and delivery lifecycle, improve development, testing, operations, and project efficiency across modern software organizations. </b></p><h4>Key Features</h4><ul><li>Apply LLMs to modern DevOps workflows across development and operations with practical enterprise examples</li><li>Build architectural fluency in GPT, fine-tuning, RAG, and agent-based systems</li><li>Strengthen software delivery pipelines with AI-informed automation and operational intelligence</li></ul><h4>Book Description</h4>If you work in DevOps, SRE, platform engineering, software delivery, operations, testing, or security, this book shows how large language models (LLMs) can reduce delivery friction, improve operational visibility, and support more reliable engineering workflows. Written by enterprise digital transformation and delivery specialists, it focuses on moving LLMs beyond isolated experiments into practical software delivery systems.
You will build the LLM foundations needed to understand modern AI systems, including language model evolution, Transformer architecture, GPT-style generation, and efficient fine-tuning techniques such as LoRA and QLoRA. The book then connects these foundations to enterprise-ready patterns such as retrieval-augmented generation (RAG), multi-agent systems, and platform-based AI assistance. Through operations, testing, coding, project management, and cybersecurity scenarios, you will see how LLMs can support log analysis, ticket handling, root cause analysis, test generation, code generation, risk management, and security workflows.
By the end of the book, you will understand how to move from model experimentation to practical AI-assisted delivery, evaluate where LLMs create measurable value across DevOps, SRE, and platform engineering workflows, and recognize the constraints, risks, and governance considerations involved.<h4>What you will learn</h4><ul><li>Apply RAG and multi-agent patterns to enterprise software delivery and platform engineering scenarios</li><li>Use LLMs to support operations tasks such as log analysis, ticket handling, incident response, and root cause analysis</li><li>Explore how LLMs can improve software testing, static analysis, vulnerability repair, and test automation workflows</li><li>Apply code LLMs to development workflows, including code generation, completion, review support, and project-level coding tasks</li><li>Use LLMs to support project management, delivery coordination, risk analysis, and cybersecurity workflows</li><li>Evaluate the practical value, risks, and constraints of introducing LLMs into DevOps, SRE, and platform engineering environments</li></ul><h4>Who this book is for</h4><p>This book is for software engineers, DevOps and SRE professionals, QA and security teams, and technical managers who want to apply and operationalize LLMs across the software delivery lifecycle. </p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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            <title><![CDATA[ AI Under Attack : A Practical Guide to Threats, Defenses, and Governance for AI Systems ]]></title>
            <link>http://ionis.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Kimmerle, Kris<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://ionis.scholarvox.com/catalog/book/"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806119929.jpg" /></a></p>
            <p><p><b>Built on Fortune 500 experience, this guide delivers hands-on methods to secure generative AI with extensive coverage of RAG, agents, prompt injection, data pipelines, Zero Trust, and sustainable programs.
Includes the AI Under Attack Practitioner Toolkit, featuring chapter-specific Field Artifacts for real-world AI security practice.</b></p><h4>Key Features</h4><ul><li>Defend LLMs, RAG, and autonomous agents against prompt injection, jailbreaks, and tool abuse</li><li>Apply Zero Trust architecture to AI agents with tool access, memory, and goal-directed reasoning</li><li>Run AI governance and red teaming programs aligned to NIST AI RMF, ISO 42001, and OWASP for LLMs</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>Contrary to general AI texts or cybersecurity books with limited AI coverage, this guide offers a comprehensive dive into securing the generative AI ecosystem.
It moves through four parts: Foundations establishes why AI security is fundamentally different, covering threat modeling, attack surfaces, and core defense principles. Attacks provides deep technical examination of prompt injection, memory and context abuse, RAG system vulnerabilities, agent exploitation techniques, training data poisoning, and AI red teaming methodology. Building Secure AI Systems covers infrastructure and MLOps hardening, secure application and API design, defensive prompt engineering, guardrails with human oversight, supply chain integrity, and Zero Trust architecture for agents. Running AI Security Programs addresses governance, risk and compliance frameworks, security engineering practices, security operations, and building sustainable organizational capabilities. Throughout, you will gain access to practical insights and structured approaches applicable to real-world scenarios.
By the end, you will be able to design, implement, and maintain security programs for generative AI, defend against advanced threats, communicate risks to stakeholders, and establish governance ensuring secure, compliant operations across the lifecycle.<h4>What you will learn</h4><ul><li>Identify AI-specific risks and clearly communicate them to business teams</li><li>Defend models, data, RAG, and agents from threats like poisoning, prompt injection, jailbreaking, and data exfiltration</li><li>Design resilient cloud/MLOps with Zero Trust, supply chain security, and isolation</li><li>Build secure APIs, apps, and agents with strong auth, validation, and safe tool use</li><li>Apply AI-focused GRC, alignment checks, bias mitigation, monitoring, and incident response</li><li>Translate complex concepts into actionable steps, using threat intel and collaboration for lasting security</li></ul><h4>Who this book is for</h4><p>This book is for mid- to senior-level cybersecurity professionals, security architects, and tech leaders managing risks in generative AI deployments. It’s also valuable for early-career practitioners, AI/ML engineers, red teamers, DevSecOps, governance specialists, compliance officers, and product stakeholders with foundational cybersecurity knowledge. Readers should have basic familiarity with security concepts, some exposure to cloud platforms (AWS, Azure, or GCP), and a fundamental grasp of AI/ML, though no prior AI security expertise is required.</p></p>
            ]]></description>
            <pubDate>2026-07-29T08:00:01.990</pubDate>
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