Ce guide pratique propose une approche complète et illustrée pour concevoir, installer et entretenir des aires de jeux et de fitness extérieures en conformité avec les normes NF EN 1176, NF EN 1177 et NF EN 16630. La sécurité des usagers sera garantie grâce à une application rigoureuse des normes et décrets en vigueur exposés ici. Dans ce guide, vous trouverez des solutions techniques pour le choix des équipements, des matériaux et des sols amortissants ainsi que des réponses illustrées et pratiques aux questions suivantes : - Quels sont les normes et critères de sécurité à respecter ? - Comment choisir et installer les jeux en toute sécurité ? - Comment traiter le risque de chute ? - Comment mettre en place les équipements de jeux et les sols amortissants ? - Comment assurer le contrôle et l'entretien des aires de jeux ? Ce guide aborde aussi les aspects budgétaires et administratifs liés à la mise en place (location ou achat), à la gestion (interne ou externe) et à l'entretien (contrôles, réparations) d'une aire de jeux. Cette 2e édition est présentée avec une nouvelle maquette et est actualisée avec la prise en compte de tous les textes de référence à jour. Elle inclut les aires de fitness extérieures en libre accès (norme NF EN 16630) qui se sont fortement développées ces dix dernières années au sein des collectivités. Les normes et la gestion encadrant ces équipements sont en effet similaires aux jeux pour enfants.

Make Python useful in everyday data and AI work. Clean datasets, visualize results, apply machine learning, and automate recurring tasks through hands-on examples.

Key Features

• Practical Python coverage spans data preparation, visualization, AI, and everyday automation
• Business and science focus makes data analysis and AI useful beyond professional programming
• Detailed examples connect Python tools to file handling, visual analysis, and routine tasks

Book Description

What you will learn

• Clean and transform data with NumPy and pandas
• Create charts and interactive plots with Matplotlib
• Apply regression, decision trees, and clustering methods
• Analyze text and classify images with AI techniques
• Build lightweight web tools with Flask and Streamlit
• Automate PDF processing, data retrieval, and email notifications

Who this book is for

Business and science professionals, data analysts, students, and other readers who want to use Python for analysis, AI, and routine automation. Particularly suited to people who are not programmers by trade; the material introduces Python basics rather than assuming a professional programming background.

Build AI-driven platforms with RAG, MCP, governed agents, and observability, while seeing how Claude Code, Kiro, and Codex CLI fit into the shift from personal coding agents to governed platform agents

Key Features

• End-to-end coverage from AI-enhanced developer portals to governed agentic operations
• Apply agentic AI patterns for governed remediation, observability, and human-in-the-loop control
• Generate infrastructure-as-code and CI/CD artifacts through conversational AI interfaces

Book Description

What you will learn

• Build RAG systems grounded in organizational knowledge
• Build governed agents that propose changes through pull requests
• Connect conversational workflows to platform tools with MCP
• Explore where Claude Code and Kiro fit in agentic platform workflows
• Trace agent activity and maintain auditable operational records
• Secure agent workflows with guardrails, identity, and compliance controls
• Compare personal and production agents with governed tool access
• Evaluate build-versus-buy choices for AI platform capabilities

Who this book is for

This book is for platform engineers, SREs, DevOps professionals, and cloud architects who want to integrate GenAI and agentic AI into internal developer platforms. If you are responsible for building or maintaining internal platforms and want to improve developer self-service, operational intelligence, and governed automation, this book is for you. Technical leaders driving AI adoption within engineering teams will also find valuable strategic guidance. Basic familiarity with cloud computing, infrastructure as code, Kubernetes, CI/CD, and DevOps practices is assumed.

Build and deploy high-performance full-stack web apps using Spring Boot microservices and an Angular frontend, with modern CI/CD pipelines, security, and state management best practices

Key Features

• Leverage modern full-stack integration patterns that harness the unique synergy between frontend and backend
• Apply best practices to write clean, maintainable, and scalable source code
• Boost development speed using Java, Spring Boot, Angular CLI, and modern GenAI tooling
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Design full-stack apps for enterprise-level architecture
• Build Spring Boot microservices with an API gateway
• Persist data using Spring Data for SQL and NoSQL
• Secure microservices using JWT authentication
• Create reactive apps with WebFlux and Angular Signals
• Implement SSR in Angular for improved SEO and speed
• Stream real-time data in Angular apps
• Containerize and deploy the full stack with Docker Compose

Who this book is for

This book is for Java and TypeScript developers with some familiarity with Spring Boot and Angular who are looking to move into full-stack roles and master Spring Boot microservices and Angular frontends through one cohesive workflow. You'll go from fragmented skills to building and shipping complete applications without requiring prior full-stack development experience. Basic web development knowledge is assumed.

Give Claude Code your goals and preferences in everyday language, review what it produces, solve problems together, and remain in control as your idea takes shape

Key Features

• Keep Claude Code focused by recording your goals, choices, and project rules
• Follow short visual lessons with annotated screenshots and clear result checks
• Use reviews, tests, and checkpoints to protect your progress

Book Description

What you will learn

• Define the purpose of your idea
• Turn a broad idea into a focused brief with clear boundaries
• Give Claude Code manageable tasks and explain the result you want
• Review each result, request improvements, and undo mistakes
• Create and publish a responsive website for an app or service business
• Build a habit-tracking app for iPhone and Android
• Check forms, screens, saved information, and reminders
• Share the app with testers and prepare it for store submission

Who this book is for

This book is for aspiring creators, entrepreneurs, freelancers, designers, marketers, students, career changers, and professionals with an idea for a website or mobile app. Readers only need everyday computer skills, access to Claude Code, and an iPhone or Android phone for trying the app. No programming experience is required.

On compte 7 couleurs de l’arc-en-ciel, 7 notes de la gamme, 7 péchés capitaux qui répondent à 7 vertus, 7 chakras hindoux, 7 niveaux de conscience : qu’en est-il des piliers des mathématiques ?

Quels seraient les 7 concepts fondamentaux sur lesquels les mathématiques s’appuient depuis la nuit des temps et que les recherches les plus modernes continuent à étudier ?

Afin de les identifier, ce livre propose une promenade ludique accessible à tous, qui remonte à la source en étudiant comment ces concepts interagissent les uns avec les autres, comment ils s’enrichissent mutuellement, etc.

Il traite, pour cela, de nombreux thèmes, puisant dans les sciences, les arts, le langage, mais aussi le quotidien depuis l’origine de l’humanité jusqu’à nos jours, les poèmes, les tableaux, les peintures rupestres, les tablettes mésopotamiennes, les monuments architecturaux tels que le Panthéon, le Taj Mahal ou le palais de l’Ahlambra. Tout cela dans le but de mettre en exergue l’universalité de ces 7 concepts mathématiques : le concept d'ensemble, de proposition, de nombre, du vide, d'opération, d'opposé et de fonction.

Stop guessing when network connections fail. Follow a structured process to isolate faults, understand why traffic is not reaching its destination, and restore connectivity across everyday network environments.

Key Features

• Build foundations in IP addressing, subnetting, NAT, VLANs, and routing
• Troubleshoot wireless, VPN, routing, switching, and firewall problems
• Explore diagnostic tools for Windows, Linux, PowerShell, and Wireshark

Book Description

What you will learn

• Explain how networks, IP protocols, and the OSI model work
• Interpret IPv4 and IPv6 addressing and subnetting
• Understand NAT, VLANs, static routes, and dynamic routing
• Determine the severity of common network problems
• Diagnose TCP/IP and network connectivity issues
• Troubleshoot home and corporate wireless networks
• Resolve common VPN, routing, switching, and firewall issues
• Use Windows, Linux, PowerShell, and Wireshark tools

Who this book is for

This book is for aspiring network engineers, IT support and help desk professionals, junior system administrators, and students who want to strengthen their understanding of routing and network troubleshooting. It will also help professionals who need to diagnose everyday connectivity, wireless, VPN, switching, or firewall issues. No advanced networking experience is required, but basic familiarity with computers and operating systems will be useful.

Concentrating on Eastern Asia, the centre of global lily diversity, this work presents a substantial taxonomic revision of the genus Lilium in China. It integrates over a decade of field investigations with recent molecular phylogenetic findings to resolve outstanding taxonomic puzzles and update the Flora of China. The text offers a fully updated catalogue of native species, detailing their nomenclatural history, type specimens, morphological descriptions, and refined distributions.

The book presents verified distribution maps and detailed field photographs for every accepted species. Beyond taxonomy, it features dedicated chapters on cultivation, propagation, and the cultural significance of lilies in China. It also addresses conservation needs based on the IUCN (International Union for Conservation of Nature) criteria, providing valuable guidance for wildlife management.

This volume is an essential resource for professional taxonomists, horticulturalists, natural resource managers, and enthusiastic amateurs alike.

Gain a deep understanding of QGIS, the world's most popular free and open-source GIS tool for spatial analysis and mapping

Key Features

• Find out how to effectively use QGIS by exploring its features in depth
• Practice real-world scenarios for spatial data extraction, analysis, and mapping
• Explore cutting-edge topics in the geospatial industry, such as machine learning and artificial intelligence
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Grasp the core concepts of spatial data importing, managing, and analysis
• Access geospatial data sources from public organizations
• Find out how to handle different map projections and regulations
• Get to grips with the basics of map design and common map types
• Understand spatial data analysis and problem solving through using real-world scenarios
• Capture, download, and analyze Earth Observation data
• Build mobile projects for data collection on the go
• Integrate the power of AI and ML, and learn the ethical aspects of their use in GIS

Who this book is for

This fully updated edition is for GIS professionals, developers, researchers, and students in environmental management, urban studies, transportation, and spatial planning. Educators can integrate step-by-step exercises into their technical training as this book provides a hands-on approach to spatial data collection, management, and analysis, incorporating new QGIS capabilities.

Build production-ready AI agents for Microsoft Dynamics 365 Business Central using AL, Copilot Toolkit, Copilot Studio, Azure, .NET, and MCP to automate workflows and create intelligent ERP solutions

Key Features

• Explore Business Central’s native AI features, including copilots and built-in agents
• Follow the hands-on Cronus Events journey to build copilots and agents with AL, Copilot Studio, Azure, MCP, and .NET
• Test, govern, secure, and optimize AI solutions with Microsoft Foundry, semantic search, and human-in-the-loop controls

Book Description

What you will learn

• Understand LLMs and how agentic AI differs from traditional automation
• Explore Business Central's native AI features, copilots, and agents
• Build AI solutions using AL and the AI Development Toolkit
• Test AI solutions with the AI Test Toolkit and Microsoft Foundry
• Create agents with Copilot Studio grounded in Business Central data
• Optimize custom agents with semantic search
• Build multi-agent solutions with Azure Logic Apps and Microsoft Agent Framework
• Connect AI clients through the Business Central MCP server

Who this book is for

This book is for Dynamics 365 Business Central developers, consultants, solution architects, implementation partners, and other technical professionals who want to build practical AI-powered solutions and agents for Business Central. Functional consultants who want to prototype agents, understand the available options, and collaborate with development teams will also find it useful. Knowledge of Business Central and basic AL development is recommended. Familiarity with .NET is helpful for the final chapter, but no previous experience with LLMs or AI agents is required.

Master modern time series forecasting in R using real datasets, applied models like ARIMA and Prophet, and advanced tools like LSTM for business-ready analysis

Key Features

• Build a practical skills in time series forecasting using R from scratch
• Levereage traditional and deep learning models including ARIMA, Prophet, and LSTM
• Analyze and visualize real-world datasets to drive decisions and discover insights
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Work with time series data to uncover underlying patterns and trends
• Implement forecasting models like ARIMA and Prophet to predict future values
• Create powerful data visualizations to communicate time series insights
• Leverage R for time-based analysis across various domains
• Build and fine-tune models for different data scenarios
• Detect anomalies and adjust models for improved accuracy
• Use deep learning techniques like LSTM for complex time series tasks

Who this book is for

This book is for junior to mid-level professionals in business intelligence, finance, and supply chain roles, as well as academics and students interested in data science. No prior expertise in time series analysis is required, but a working knowledge of basic R programming is helpful.

This book provides a comprehensive introduction to spectroscopy, covering its origins and development, as well as the fundamentals of atomic and molecular spectroscopy. It then examines 11 representative spectroscopic techniques, including laser-induced breakdown spectroscopy (LIBS), Raman spectroscopy, and infrared spectroscopy, with detailed coverage of their principles, experimental systems, and advanced applications. The book further explores the integration of multiple spectroscopic techniques in materials science, environmental science, and industrial production, highlighting the advantages of multimodal approaches over individual techniques. It also examines the integration of machine learning and artificial intelligence with spectroscopy and presents a series of spectroscopic simulation projects based on recent research. The book concludes with an outlook on emerging trends and future technological developments in spectroscopy.

The book is a valuable reference for undergraduate and graduate students and university faculty in physics, optics, atmospheric sciences, and related fields. It is also suitable for researchers in optics, remote sensing, atmospheric physics, and astronomy, as well as engineers and technicians working in optoelectronics and related technologies.

Magnetism has been known to human society for thousands of years via the naturally occurred permanent magnets of magnetite (lodestone), which were first recorded in ancient Chinese books as being applied as the Afang Palace doors and the compasses more than two thousand years ago. The industrial scale production of permanent magnets, from steel magnets to rare-earth magnets, has had a history of only about a hundred years. Nevertheless, permanent magnets have become a kind of indispensable functional materials in modern society, which play essential roles in energy generation and conversion applications. Recently, with the fast development in green-energy technologies such as electric transportation, wind power generation and precision actuation, demand for permanent magnets with high energy density and high thermal stability has become unprecedently strong.

This book aims to contribute cutting-edge research progress in advanced permanent magnets. It covers a broad scope from basic theory to application technologies, and from the traditional magnets improvements to novel magnets inventions, as well as materials recycling. The main topics include fundamental coercivity mechanisms of permanent magnets, development of various advanced permanent magnets, and technologies for magnets fabrication and recycling. It contains ten chapters. Chapter 1 is an overview of the history of development of permanent magnets and perspectives of the future. Chapter 2 focuses on theoretical research of the coercivity mechanisms of permanent nanomagnets. Chapters 3-6 give the development of several kinds of advanced permanent magnets including Sm-Co magnets, ThMn12-type R-Fe-M magnets, Mn-based magnets, and nanocomposite magnets. Chapters 7-9 introduce the fabrication and modification of rare-earth permanent magnets. Chapter 10 provides the recycling of rare-earth permanent magnet wastes. The authors of the chapters are the leading researchers in the fields in China and the world.

Build production-ready Amazon EKS clusters with hands-on guidance for networking, security, observability, scaling, GenAI workloads, and cost control.

Key Features

• Build and run Amazon EKS clusters using AWS Console, AWS CLI, CDK, Terraform, and eksctl
• Secure, scale, monitor, and troubleshoot Kubernetes workloads using AWS-native services
• Deploy real-world workloads with ECR, Fargate, Karpenter, Helm, GitOps, Spark, and GenAI
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Build Amazon EKS clusters with CLI, CDK, Terraform, and Console
• Deploy Kubernetes applications using kubectl and Helm
• Configure EKS networking, CNI, IPv6, eBPF, and Cilium
• Secure clusters with RBAC, IAM, IRSA, and Pod Identity
• Run workloads with ECR, CSI drivers, Fargate, and load balancers
• Scale clusters and applications with Karpenter, KEDA, and HPA
• Monitor EKS using ADOT, CloudWatch, Prometheus, and Grafana
• Troubleshoot access, node, network policy, and Karpenter issues

Who this book is for

Cloud architects, platform engineers, DevOps engineers, Kubernetes administrators, cloud engineers, and SREs who want to build, deploy, secure, and operate Kubernetes workloads on Amazon EKS. Basic knowledge of AWS, Docker, containers, and Kubernetes concepts is recommended.

Write cleaner, easier-to-maintain code by learning practical refactoring techniques for names, functions, classes, dependencies, and tests

Key Features

• Write readable, well-structured code that is easy to modify.
• Apply SOLID principles through practical examples.
• Recognize code smells and know when to refactor.
• Turn messy code into maintainable solutions through step-by-step case studies.
• Print or Kindle purchase includes a free PDF eBook.

Book Description

What you will learn

• Choose clear, expressive, and consistent names
• Design focused functions with effective signatures
• Apply SOLID principles to everyday design decisions
• Reduce coupling between classes and improve cohesion within them
• Organize classes and projects so the codebase is easy to navigate
• Write readable unit tests and improve testability
• Refactor messy C# code to make it readable, testable, and easy to extend

Who this book is for

This book is for developers who want to write code that is easier to read, modify, and maintain. It is particularly useful for anyone working in messy or legacy codebases who want a systematic approach to improving them, junior developers looking to build strong professional coding habits, and seniors who want to sharpen their skills and lead by example during code reviews. A basic understanding of programming and object-oriented concepts is recommended.

The autonomous supply chain is the emerging attack surface of the next decade. When AI decisions can drive physical action, the execution perimeter becomes the new security boundary. Explore the threat chain across the physical–digital convergence through a practical approach to implementation, with 17 customizable artifacts from the ASCR blueprint to turn security strategy into action.

Key Features

• Map the new attack surface from agentic decisions to physical consequences
• Secure the agentic execution chain from decision to physical action
• Turn security strategy into action with practical, customizable artifacts

Book Description

What you will learn

• Trace the threat chain from AI reasoning to physical consequence
• Identify and intercept attacks across the agentic execution chain
• Secure MCP gateways, agent identity, lineage, telemetry, and evidence
• Use digital twins to test agents before physical execution
• Build an Agentic Security Operations Center (ASOC)
• Apply the Secure Agentic Development Lifecycle (SADLC)
• Align security with EU AI Act, NIS2, IEC 62443, and NIST AI RMF
• Apply the ASCR Blueprint and 17 artifacts across risk and response

Who this book is for

This book is for security architects, CISOs, security and technology leaders, AI/ML and application security engineers, OT/ICS engineers, cloud security professionals, and compliance practitioners responsible for securing, governing, or auditing agentic systems in production. Consultants will also benefit from the reusable frameworks and customizable artifacts throughout the book. Basic security architecture knowledge is recommended; familiarity with AI/ML and OT/ICS is helpful. Cross-domain context is established where required.

Written by the author of the best-selling "Blender for Beginners" book, this first volume shows you how to plan, model, texture, and populate a Victorian city in Blender 5, laying the groundwork for the full environment in Part 2 Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Build a cohesive Victorian city using practical environment art workflows in Blender 5
• Create detailed architecture, signage, props, and reusable assets that bring the street to life
• Develop a scalable scene-building workflow that continues into the complete environment in Part 2

Book Description

What you will learn

• Plan environments with references, scale, and composition
• Build modular Victorian architecture with consistent proportions
• Texture architectural elements for a cohesive period-inspired look
• Design entrances, windows, balconies, roofs, storefronts, and signage
• Develop hero locations such as a bookstore and library
• Use props, street furniture, and reusable assets to add story and detail
• Expand a complex city scene while maintaining visual consistency
• Produce an early render and prepare the environment for completion in Part 2

Who this book is for

This book is for aspiring environment artists, 3D artists, game artists, Blender users, and digital creators who want to build detailed architectural scenes. It is suitable for beginners and intermediate users looking to strengthen their skills in scene planning, modular modeling, texturing, asset placement, and visual storytelling for games, animation, visualization, or portfolio work. Basic familiarity with Blender's interface and navigation is recommended, no prior environment art experience is required.

Move agentic AI from clever demos to reliable production with the principles, patterns, and practices behind multi-agent systems at scale.

Key Features

• Build production-ready agents and multi-agent systems with hands-on Python examples
• Apply foundational principles, proven design patterns, and orchestration strategies
• Evaluate, observe, scale, and evolve agent systems through real-world case studies
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Apply foundational principles to design production-ready agents
• Design agent communication, routing, and collaboration flows
• Orchestrate teams with proven multi-agent design patterns
• Manage memory, retrieval, and context across agent teams
• Evaluate, red-team, and benchmark agent system behaviors
• Deploy and scale multi-agent systems in production
• Instrument agents with OpenTelemetry-based observability
• Evolve and improve agent systems safely in production

Who this book is for

If you are an AI engineer, ML practitioner, software architect, or technical leader who wants to move beyond agent demos and ship multi-agent AI systems that work in production, this book is for you. By the end, you will be able to design, deploy, evaluate, and continuously improve agentic systems with confidence. It is equally valuable for engineering and product managers making informed decisions about agentic AI architecture. Readers should be comfortable with Python and have basic familiarity with LLMs; deep ML expertise is not required.

Build the practical Revit skills needed to create professional BIM models, drawings, schedules, and visualizations for digital construction projects

Key Features

• Build BIM skills through a complete residential project
• Create professional drawings, schedules, and 3D models
• Learn industry workflows used across architecture, engineering, and construction

Book Description

What you will learn

• Understand digital construction and Revit's role in the industry
• Gain confidence in navigating and using Revit's key functions
• Model walls, floors, stairs, roofs, and other building elements
• Learn worksharing, linked models, exports, and file management
• Create custom parametric families and apply materials
• Control 2D and 3D views consistently with view templates
• Create sheets, manage revisions, print PDFs, and export DWGs
• Export IFC and NWC files and explore XR workflows

Who this book is for

Architects, engineers, and drafters at the beginning of their careers who want to learn foundational Revit 2026 skills for digital construction. No previous knowledge or experience with Revit or other 2D/3D software is required, although basic knowledge of construction drafting or 3D modeling will be beneficial.

Master AI product management with 42 original frameworks and real-world case studies covering discovery, trust, launch, and scale, built specifically for probabilistic systems traditional playbooks can't handle

Key Features

• 42 frameworks, including the AI North Star Canvas and Trust-First GTM, covering discovery through scale
• Makes the case that AI product management is a distinct discipline, not a PM subspecialty
• 4-Layer Competency Stack and 2030 Role Architecture, grounded in Spotify, Netflix, and OpenAI case studies

Book Description

What you will learn

• Validate real customer pain before defaulting to AI as the solution
• Weigh value against cost using a structured AI trade-off framework
• Assess data readiness before committing to build
• Design feedback loops that continuously sharpen product performance
• Define metrics built for probabilistic, not deterministic, behavior
• Build trust and graceful recovery into every AI experience
• Launch with go-to-market strategies that earn user confidence
• Scale AI products while managing quality, cost, and model drift

Who this book is for

Written for product managers, product owners, founders, and engineering leaders in building or scaling AI-enabled products, as well as business analysts, technical architects, and consultants driving AI initiatives. Especially valuable for readers with working knowledge of conventional product management who need structured frameworks for probabilistic systems, data readiness, trust-centered design, launch governance, and responsible scaling. Also relevant for data scientists and UX leaders partnering with product teams. Familiarity with core product management fundamentals is recommended.

Build, test, and deploy production-ready Flutter apps for mobile, web, and desktop, while adding AI features using ML Kit, Gemini, and agentic workflows

Key Features

• Integrate ML Kit and Gemini APIs to build AI-powered features into your Flutter apps
• Cover state management, architecture, testing, and debugging for production-ready apps
• Build and deploy cross-platform apps for mobile, web, and desktop from one codebase

Book Description

What you will learn

• Build apps for iOS, Android, web, and desktop
• Add AI-powered features using ML Kit and Gemini APIs
• Build agentic apps with agent loops, multi-agent routing, and MCP tool use
• Manage application state with Provider and Riverpod
• Handle asynchronous programming with Future and Stream
• Integrate Firebase for authentication, storage, and ML capabilities
• Structure apps using layered architecture patterns
• Write unit, widget, and integration tests for Flutter apps
• Deploy to the App Store and Google Play, and deliver over-the-air updates without a store release

Who this book is for

This book is for developers who want to build production-ready Flutter applications and need solutions to real cross-platform challenges. Beginners with coding experience in JavaScript, Swift, Kotlin, Java, Objective-C, or C# will find clear, recipe-driven guidance from first principles. Experienced mobile and web developers will benefit from architecture patterns, testing strategies, and AI integration techniques that reflect current production practices. No prior Flutter or Dart experience is required.

Master performance optimization in Unreal Engine 5 with over 60 expert recipes covering profiling, rendering, memory, and platform-specific tuning used by professional game studios Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Identify and eliminate CPU/GPU bottlenecks using UE5 profiling tools and CI automation
• Tune Nanite, Lumen, and Virtual Shadow Maps for stable framerates without sacrificing quality
• Scale gameplay, AI, physics, and streaming to hit performance targets on every target platform

Book Description

What you will learn

• Master frame-time budgeting and CPU/GPU bottleneck analysis
• Profile real performance data using Unreal Insights and GPU Visualizer
• Tune Nanite, Lumen, and VSMs for stable, high-fidelity framerates
• Refactor Blueprint logic and convert hotspots to efficient C++
• Optimize AI, physics, animation, and Niagara for CPU efficiency
• Eliminate memory hitches with streaming and async loading strategies
• Hit performance targets on consoles, PC, VR, and mobile
• Automate regression tracking and studio-wide performance workflows

Who this book is for

This book is for experienced Unreal Engine 5 developers who want to improve game performance systematically. Solo developers, programmers, and technical designers responsible for optimization will benefit. If you can build gameplay systems but struggle to identify what is slowing your project down, this book gives you a practical workflow. Readers should be comfortable with the UE5 editor, Blueprints or C++, and basic rendering concepts such as materials, lighting, and post-processing. No advanced graphics programming or engine source modification is required.

How do we build real solidarity in times of crisis?

Written by grassroots organisers from besea.n, Britain’s East and South East Asian Network, this book centres the voices of East and Southeast Asian (ESEA) communities in the UK and explores what collective organising can look like beyond isolated anti-racism efforts.

Through personal stories and interviews, it examines identity, representation, migration, activism, and the barriers that have made community-building difficult. By connecting past and present struggles, it calls for stronger, shared action and a more inclusive conversation about solidarity in Britain today.

Written for activists, students, and anyone interested in community organising and anti-racism, this book offers a powerful call to move forward together.

Prepare for the CTA board with hands-on scenarios and expert guidance. Master Salesforce architecture, including Data Cloud, Hyperforce, and AI, and lead scalable programs with confidence. Free with your book: PDF Copy, AI Assistant, and Next-Gen Reader.

Key Features

• Prepare for the prestigious CTA review board with guidance from an experienced Salesforce CTA
• Practice with realistic scenarios, solution presentations, and three complete mock reviews
• Master Salesforce architecture across data, security, integration, governance, and communication

Book Description

What you will learn

• Understand the CTA review board format, process, and evaluation areas
• Analyze ambiguous requirements and identify architecture drivers
• Evaluate options, trade-offs, risks, and constraints
• Design secure, scalable data, integration, and identity architectures
• Create artifacts that communicate an end-to-end solution
• Align governance, delivery, and release strategies
• Explain and defend architecture decisions with clarity
• Apply architecture practices through realistic scenarios
• Prepare strategically for the CTA review board

Who this book is for

This book is primarily for experienced Salesforce architects, consultants, and technical leads preparing for the CTA review board or leading complex Salesforce programs. Software, solution, and enterprise architects outside the Salesforce ecosystem will also benefit from its transferable methods for requirements, trade-offs, secure and scalable design, governance, visualization, and decision communication. Examples and product choices are Salesforce-specific. CTA candidates should have substantial Salesforce implementation experience and at least three years in an architecture role.

Transform finance from a reactive reporting function into a forward-looking strategic partner using AI, automation, predictive insights, and Lean principles

Key Features

• Automate routine finance work and redirect teams toward strategic analysis
• Use AI for forecasting, budgeting, variance analysis, and risk sensing
• Build an AI-ready finance function with Lean principles and governance

Book Description

What you will learn

• Automate repetitive finance work and reduce reporting effort
• Move from backward-looking reports to predictive insights
• Improve cost control using predictive finance techniques
• Automate variance analysis to uncover strategic insights
• Build AI-augmented budgets and forecasts
• Use risk-sensing dashboards to identify early warnings
• Establish governance for responsible AI adoption
• Build a roadmap for an AI-driven finance function

Who this book is for

This book is for CFOs, controllers, FP&A leaders, finance directors, analysts, and finance transformation professionals who want to move their teams beyond reporting toward strategic decision-making. It is also relevant to business leaders responsible for finance transformation and AI adoption. No data science background is required; the focus is on applying AI, automation, and Lean principles to finance processes and decisions.

Develop JavaScript skills from core syntax to browser interactions. Put them to work in backend, mobile, and AI applications with step-by-step guidance.

Key Features

• Broad language coverage connects JavaScript fundamentals with browser, server, and mobile work
• Expanded methods, properties, and error coverage supports a professional development process
• Sequential guidance links core concepts to dynamic web, backend, mobile, and AI applications

Book Description

What you will learn

• Write JavaScript using data types, control flow, and objects
• Handle browser events, forms, and dynamic page content
• Use web APIs to add browser functionality
• Structure asynchronous code for web applications
• Build server-side applications with Node.js
• Create mobile applications with React Native

Who this book is for

Web developers working on frontend and backend applications, newcomers taking their first steps in JavaScript, and programmers refreshing their knowledge. Readers looking to extend their skills into server, mobile, and AI development will also benefit.

Build cloud-native distributed .NET applications with Aspire, ASP.NET Core microservices, generative AI, semantic search, and Azure deployment.

Key Features

• Build an end-to-end distributed e-commerce system with AI capabilities
• Integrate PostgreSQL, Redis, RabbitMQ, Keycloak, and Ollama with Aspire
• Deploy secure, AI-enabled microservices to Azure Container Apps

Book Description

What you will learn

• Design cloud-native distributed systems with Aspire
• Build Catalog and Basket microservices with ASP.NET Core
• Orchestrate PostgreSQL and Redis as backing services
• Implement event-driven messaging with RabbitMQ and MassTransit
• Secure microservice endpoints with Keycloak and JWT bearer tokens
• Build enterprise AI features with Microsoft.Extensions.AI, Ollama, and Microsoft Agent Framework
• Implement semantic search with embeddings and vector storage
• Deploy distributed applications to Azure Container Apps

Who this book is for

.NET developers, software engineers, and solution architects who want to build cloud-native distributed applications and add generative AI capabilities will benefit from this book. It is also suited to developers exploring microservices, event-driven architecture, Aspire, and AI integration. Basic knowledge of C# and programming concepts is required.

Automate repetitive code refactoring and migrations with reusable recipes that make large-scale code changes faster, safer, and more consistent.

Key Features

• Automate repetitive refactoring and migrations across codebases
• Create declarative, Refaster template, and imperative recipes
• Apply custom transformations through your existing build pipeline
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Understand recipes, visitors, styles, and LSTs
• Find, configure, compose, and run OpenRewrite recipes
• Add and use new recipe sources in your projects
• Create declarative and Refaster template recipes
• Build imperative recipes with visitors and cursors
• Test, validate, and configure custom recipes
• Understand isomorphic and non-isomorphic visitors
• Implement complex transformations with multiple visitors
• Integrate automated refactoring into build pipelines

Who this book is for

Software developers and solution architects who spend significant time on manual refactoring, migrations, or technical debt reduction will benefit from this book. You should understand Java syntax and have access to a Java development environment with a JDK, IDE, and build tool. No previous OpenRewrite knowledge or refactoring experience is required.

Secure enterprise AI agents with bounded autonomy, AgentSecOps, MCP security, RAG governance, identity controls, evals, policy, observability, audit evidence, and production-ready security patterns.

Key Features

• Build secure AI agents with bounded autonomy and layered controls
• Secure MCP, RAG, identity, tool calls, and agent permissions
• Apply AgentSecOps, evals, observability, policy, and incident response

Book Description

What you will learn

• Classify AI agents by authority, risk, and blast radius
• Design secure seven-layer architectures for enterprise agents
• Secure MCP servers, tool calls, and agent capability boundaries
• Apply delegated identity, least privilege, and approval controls
• Protect RAG pipelines from poisoning, leakage, and unsafe retrieval
• Build evals, observability, and regression gates for agents
• Enforce agent policies as code and prepare incident response
• Implement continuous AgentSecOps and production readiness checks

Who this book is for

This book is for engineers moving AI agents into production, enterprise and security architects, and security, risk, audit and governance teams assessing agent deployments. AI platform leaders and technical decision-makers in regulated or high-impact environments will also benefit. Readers should understand application architecture APIs, cloud services, identity and access management, and basic LLM concepts. No particular agent framework is required.

Master the Yocto Project 6.0 (Wrynose) LTS and ship dependable embedded Linux products, from your first QEMU boot to GPL-compliant production builds backed by SBOMs, custom BSPs, and reproducible BitBake workflows Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Bootstrap reproducible builds in minutes with bitbake-setup and BitBake Configuration Fragments
• Author custom layers, recipes, and distributions for production-grade embedded Linux
• Generate SPDX 3.0 SBOMs, scan CVEs, and ship GPL-compliant releases with confidence

Book Description

What you will learn

• Bootstrap projects with bitbake-setup and BitBake Configuration Fragments
• Drive builds from Toaster's web dashboard for full visibility
• Assemble packages and host package feeds for production rollouts
• Author custom layers, recipes, machines, and distributions
• Build applications and the Linux kernel with standard and extensible SDKs
• Pinpoint regressions with Build History, devshell, and Package Information
• Boot custom images on BeagleBone Black, Raspberry Pi 4/5, and VisionFive
• Generate SPDX 3.0 SBOMs, scan CVEs, and meet EU CRA reporting needs

Who this book is for

This book is for embedded Linux developers, integrators, and engineering leads who want to ship dependable products with the Yocto Project. If you build embedded Linux for a living, or you're tired of fragile build scripts and one-off Linux distributions, this book is your production playbook. You'll get the most value if you're comfortable with Git, the Linux command line, cross-compilation, and shell scripting. No prior Yocto Project experience is required. Hardware hackers graduating from prototypes to maintainable, reproducible products will feel right at home.

Les jeux vidéo font-ils bien plus que nous divertir?? Plusieurs penseurs, d’Aristote à ses héritiers, rappellent que l’épanouissement passe par la pratique de la vertu. Et si, à leur manière, les jeux vidéo pouvaient faire de nous des personnes vertueuses et, ultimement, épanouies??

Ce livre propose d’explorer la pleine valeur morale du jeu vidéo. Parmi la multitude de titres conçus pour nous divertir, certains vont plus loin?: ils invitent à réfléchir sur le sens de la vie et à faire preuve de sensibilité, de courage ou même d’humilité. Ces jeux «?édifiants?» nous encouragent à ralentir, à démêler nos émotions, à choisir avec soin – bref, à vivre une expérience qui dépasse l’écran en touchant aux fibres mêmes de notre être.

À partir d’exemples de jeux salués par la critique, La vertu du jeu vidéo montre comment les règles, les récits et l’esthétique des jeux vidéo orchestrent des expériences précieuses pour notre éducation morale. La pratique de la vertu étant le projet d’une vie, le jeu vidéo s’avère un terrain d’entraînement par excellence pour l’accueillir.

Adressé aux personnes curieuses, aux spécialistes du jeu ou à celles et ceux qui cherchent à comprendre la dimension humaine du média, cet ouvrage propose des repères accessibles et rappelle que le jeu vidéo peut aussi concourir à une vie harmonieuse.

Build scalable, secure IoT devices for your home automation system using advanced tools, protocols, and frameworks Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Master automation logic using YAML, Jinja2, Node-RED, and scripting in Home Assistant
• Build custom ESP32 IoT devices, sensors, GPS modules, and cameras with ESPHome and MQTT
• Secure and expand your smart home network using Zigbee, Golioth, and other best practices

Book Description

What you will learn

• Implement complex YAML and Template automations in Home Assistant
• Secure your home network using segmentation by creating VLANs and firewall rules
• Deploy and manage Zigbee networks with Zigbee2MQTT and ZHA
• Develop custom ESPHome firmware for sensors and touchscreen displays
• Use MQTT tools to build and test device communication flows
• Integrate Golioth Cloud IoT platform devices with Home Assistant
• Create interactive dashboards and camera-based smart systems
• Design AI-based automations to learn and suggest behaviors

Who this book is for

This book is for electronics and embedded engineers working with advanced sensors and automation, as well as IT and networking professionals securing and scaling smart homes using Home Assistant. It also suits IoT enthusiasts building custom setups. A working knowledge of Home Automation systems based on Home Assistant is recommended.

Build an audit-ready AI governance program with practical assessments, lifecycle controls, and guidance aligned with ISO/IEC 42001, NIST AI RMF, OECD AI Principles, and the EU AI Act

Key Features

• Apply ISO/IEC 42001, NIST AI RMF, OECD AI Principles, and the EU AI Act in practice
• Conduct AI impact and risk assessments using structured methods and practical templates
• Build audit-ready lifecycle controls, documentation, monitoring, and accountability
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Explain responsible AI principles and governance lifecycle risks
• Compare ISO/IEC 42001, NIST AI RMF, OECD, and the EU AI Act
• Conduct structured AI impact and risk assessments
• Define accountable governance roles and decision rights
• Create policies and lifecycle controls for responsible AI
• Document AI systems for transparency and auditability
• Prepare for AI incidents with structured response processes
• Perform AI audits and improve governance from findings

Who this book is for

AI governance, compliance, and risk management professionals responsible for overseeing AI systems, evaluating AI risks, or implementing responsible AI practices, along with data scientists, ML engineers, internal auditors, privacy leaders, and technology executives. A foundational understanding of AI concepts, basic IT risk principles, and organizational policies or governance frameworks is recommended. This book also provides a strong foundation for AI GRC certifications such as AIGP, AAIA, AAIR, AAISM, AIMS, and others.

Level up your graphics programming with Vulkan by building a modern renderer with GPU-driven techniques, ray tracing, advanced lighting, and neural materials Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Build a modern Vulkan renderer using a lightweight Vulkan accelerator framework, with bindless resources, frame graphs, and async GPU submission
• Implement GPU-driven rendering with mesh shaders, GPU culling, and shadows
• Advance from hardware ray tracing and ReSTIR GI to neural rendering with Slang
• *Email sign-up and proof of purchase required

Book Description

What you will learn

• Manage GPU resources with bindless descriptors and shader reflection
• Build a frame graph and coordinate asynchronous GPU workloads
• Implement GPU-driven rendering with meshlets and mesh shaders
• Render many lights and GPU-driven shadows efficiently
• Implement volumetric fog, temporal anti-aliasing (TAA), and temporal upscaling
• Build Vulkan acceleration structures and ray-tracing pipelines
• Implement ray-traced shadows, reflections, and ReSTIR GI
• Create neural materials with Slang and differentiable rendering

Who this book is for

Ideal for graphics programmers and engine developers who are already familiar with Vulkan or modern graphics APIs and want to deepen their understanding of real-time rendering architecture and system design. You should already be comfortable with C++, graphics fundamentals such as vectors and matrices, and core Vulkan concepts including pipelines, descriptors, command buffers, and GPU resource management. Motivated hobbyists and early-career developers can also benefit, provided they are comfortable with these core Vulkan concepts and ready to engage with more advanced architectural topics.

Ce guide expose les dispositifs de traitement et d'élimination des eaux usées domestiques qui ne peuvent être évacuées par un système d'assainissement public. Il décrit la filière d'assainissement autonome qui est constituée par un ensemble de dispositifs réalisant les étapes suivantes : - l'étape de collecte et de transport des eaux en sortie d'habitation ; - l'étape de traitement des eaux usées (traitement primaire et traitement secondaire des eaux usées) ; - l'étape d'évacuation des eaux usées traitées. Ces installations se répartissent entre techniques dites traditionnelles ou non traditionnelles. Les techniques traditionnelles sont mises en oeuvre en application de la norme NF DTU 64.1. Les autres techniques (microstations, procédés compacts de filtration et filtres plantés) relèvent de la procédure d'agrément ministériel et répondent généralement aux problèmes d'emprise au sol trop importante. Cette nouvelle édition contient des préconisations techniques actualisées pour la conception, le choix, la mise en oeuvre, l'exploitation et l'entretien des installations d'assainissement autonome. Elle est actualisée et prend en compte tous les textes de référence à jour. Une liste de points d'autocontrôle en phase chantier est aussi proposée.

Learn AI, machine learning, and deep learning with Python from the ground up, then build and tune models with XGBoost, TensorFlow, PyTorch, CNNs, RNNs, transformers, and transfer learning through practical Python projects.

Key Features

• Build Python, data science, mathematics, and statistics foundations for machine learning
• Train, evaluate, and tune regression, classification, ensemble, XGBoost, LightGBM, and CatBoost models
• Create CNN, RNN, transformer, and transfer learning projects with TensorFlow, Keras, and PyTorch

Book Description

What you will learn

• Use Python, NumPy, Pandas, Matplotlib, and Seaborn for data analysis
• Apply linear algebra, calculus, probability, and statistics to ML
• Build regression, classification, and k-NN models
• Engineer features and evaluate models with cross-validation and hyperparameter tuning
• Train ensembles with random forests, XGBoost, LightGBM, and CatBoost
• Build neural networks and CNNs with TensorFlow, Keras, and PyTorch
• Develop RNNs, LSTMs, GRUs, attention, BERT, and GPT workflows for NLP
• Apply transfer learning and fine-tuning to computer vision and NLP

Who this book is for

This book is for aspiring data scientists, machine learning engineers, AI developers, students, and career changers who want one structured path from Python fundamentals to machine learning and deep learning. It suits readers seeking practical skills in data analysis, predictive modeling, computer vision, NLP, transformers, and transfer learning. No prior machine learning or deep learning experience is required. Python is introduced from the fundamentals, although basic programming familiarity and foundational mathematics will help.

Give agentic systems a memory that survives every run by turning decisions, evidence, and execution history into durable, traceable graph structures

Key Features

• Separate work history from durable knowledge with a two-graph architecture and clear bridge rules
• Retrieve small, provenance tracked context windows from graph paths within token budgets
• Run parallel workers with scoped promises, validated writes, reducer contracts, and hard budgets

Book Description

What you will learn

• Choose the right architecture from loop, chain, swarm, DAG, or graph
• Define separate schemas for work history and in-force knowledge
• Turn Markdown nodes into a disposable query index
• Add provenance, confidence, and validity to graph assertions
• Compute NEAR links to surface duplicates without making them facts
• Build a context assembler with typed, time-aware traversal
• Check claims against graph paths instead of prose alone
• Measure graph quality and know when not to build one

Who this book is for

This book is for senior software engineers, AI and agent engineers, software architects, and platform teams already experimenting with agent loops, coding agents, or multi-agent workflows. It is most useful when decisions, constraints, evidence, and execution history need to survive across runs or be shared between workers. Prior books in the Clarity series are helpful but not required; the manuscript recaps the lattice before extending it. Readers should be comfortable reasoning about software architecture and structured engineering workflows.

Develop practical Python skills from core syntax and data types to object-oriented programming and the standard library. Advance into debugging, networking, GUIs, Django, scientific computing, and project distribution.

Key Features

• Broad coverage of core syntax, data types, the standard library, and advanced Python practices
• Practical code examples that connect language concepts with professional development needs
• A structured path from first programs to debugging, Django, data science, and project release

Book Description

What you will learn

• Write Python programs using clear syntax and control flow
• Apply core data types, collections, functions, and methods
• Structure reusable code with modules, packages, and classes
• Handle exceptions, iterators, decorators, and type annotations
• Use the standard library for files, networks, logging, and data
• Build advanced solutions with GUIs, Django, and scientific tools

Who this book is for

Beginners building a solid Python foundation and experienced programmers seeking a detailed working reference will benefit most. The material suits software developers, web developers, data and scientific computing practitioners, and professionals who want deeper skills in debugging, networking, GUIs, Django, packaging, quality assurance, and the standard library.

Unlock smarter productivity with Microsoft 365 in easy steps, 2nd edition — now fully updated with a strong focus on Copilot, Microsoft’s powerful AI assistant.

Whether you’re upgrading to Microsoft 365 from a previous version or using it for the very first time, this guide will teach you the key features of all M365 essential apps, including MS Word, Excel, PowerPoint, and Access, while showing how AI can supercharge them to create, analyze, and refine your content faster than ever. Master how to:

• Create reports, newsletters, and cards in Word.
• Calculate and manage financial matters in Excel.
• Perfect your presentations and slide shows in PowerPoint.
• Keep in touch and stay organized with Mail, Calendar, and People in Outlook.
• Collaborate and share documents using OneDrive and Teams.
• Discover how to access Microsoft 365 online, and on any device.
• Get started with other M365 apps including Microsoft Designer, Microsoft Clipchamp, Microsoft Forms,
• Microsoft To Do, and Mobile Microsoft 365.

• With a whole chapter on M365 Copilot – Microsoft’s Artificial Intelligent (AI) assistant – this updated guide will help you to use AI-enabled Microsoft 365 and work smarter, in no time!

   

Ce livre couvre l'intégralité du programme d'intégration et de probabilité de L3 Mathématiques et de la 1re  année en école d'ingénieur. Il pourra aussi être utile aux candidats à l'agrégation de Mathématiques. Il contient :

• Des exercices corrigés et indications afin d’assimiler progressivement les méthodes développées. 
• Des compléments en fin de chapitre afin de faire le lien avec le programme de M1

Les 4 vipères et 10 couleuvres vivant dans l’Hexagone et en Corse présentent des particularités biologiques et une diversité morphologique qui font l’objet de ce livre, illustré par d’exceptionnelles photographies : processus de mue, séquences de prédation, de naissance et d’éclosion, scènes de combats prénuptiaux, et même… simulation de mort en guise de technique antiprédation !

Emblèmes de la vie sauvage, ces animaux aux mœurs méconnues paient un lourd tribut aux croyances populaires. Des études scientifiques, conjointes aux actions d’associations, permettent de mieux les faire connaître et d’organiser leur sauvegarde, 5 espèces étant menacées et 12 en baisse d’effectifs. Les quelque 250 photos de cet ouvrage, prises sur le vif en respectant les conditions de vie des serpents dans la nature, plaident en faveur de ces bêtes splendides, patrimoine de notre biodiversité. Ces images reflètent la passion de l’autrice, qui leur consacre des observations régulières ainsi que de nombreuses conférences grand public.

Cet ouvrage est devenu un « classique » des beaux livres naturalistes de Françoise Serre Collet, et cette 3^e édition actualisée s’enrichit de 8 fiches pour distinguer des espèces ressemblantes pouvant être confondues.

Lire la préface d'Allain Bougrain Dubourg, président de la Ligue pour la protection des oiseaux

Ce livre s’adresse à toutes celles et ceux qui souhaitent acquérir une compréhension profonde et technique de la physique quantique moderne.

L’ouvrage propose une présentation rigoureuse et entièrement auto-contenue de la physique quantique, depuis les premiers postulats jusqu’aux bases de la théorie quantique des champs et ses applications à l’électrodynamique quantique. Au lieu d’admettre un nombre significatif de résultats intermédiaires sans les démontrer, toutes les démonstrations sont ici explicitées dans les moindres détails pour permettre un apprentissage autonome.

L’autre originalité de cet ouvrage réside dans son approche unifiée?: alors que la plupart des références traitent soit exclusivement de la mécanique quantique, soit de la théorie quantique des champs en supposant la première parfaitement acquise, ce livre développe l’intégralité du cadre conceptuel et mathématique en faisant apparaître la théorie quantique des champs comme le prolongement relativiste de la mécanique quantique.

Le lecteur est accompagné depuis les premières théories quantiques du début du XXe siècle jusqu’aux théories de jauge – clé de voûte du modèle standard des particules.

Avec les LLM (Large Language Models), une nouvelle technologie émerge  : la mise en réseau de plusieurs agents afin de résoudre des tâches plus complexes qu’un agent seul ne pourrait pas accomplir efficacement.
Ces réseaux d'agents LLM peuvent être composés d'agents conversationnels, orientés tâches, créatifs ou collaboratifs, qui interagissent entre eux. Les applications potentielles sont nombreuses  : industrie, commerce électronique, support client automatisé, finance, jeux vidéo, assistants personnels, logistique, gestion de données, véhicules autonomes, santé, etc.
Cet ouvrage a pour objectif d'accompagner la montée en puissance des intelligences artificielles collaboratives et de  proposer une approche structurée, technique et accessible pour concevoir des applications intelligentes reposant sur des réseaux d’agents autonomes.
Il apportera à tous les professionnels concernés  :

• les clés pour comprendre, structurer et implémenter des systèmes multi-agents intelligents;
• une vision claire des enjeux techniques et architecturaux des IA distribuées.

• une progression pédagogique claire : des fondements de l’IA aux architectures logicielles distribuées ;
• une approche pratique et orientée développement, avec des exemples concrets, des mini-implémentations et des outils open source ;
• une mise en perspective stratégique : choix des modèles, dimensionnement, sécurité, souveraineté technologique.

 L’habitat est au coeur des enjeux contemporains : transition écologique, crise énergétique, évolution des modes de vie et besoins sociétaux. Face à ces défis majeurs, la chimie joue un rôle clé en proposant des solutions innovantes pour construire, rénover et habiter autrement.
De la conception des matériaux durables à la décarbonation des processus de construction, en passant par l’optimisation énergétique et l’intégration des nouvelles technologies, cet ouvrage offre une vision complète des contributions de la chimie à l’habitat du futur. Il explique par exemple comment l’on pourrait s’inspirer des savoir-faire du passé – maisons en terre, en bois – pour adapter les constructions aux nouvelles contraintes environnementales. Il aborde des thèmes aussi variés que : les matériaux intelligents (vitrages, adhésifs, béton recyclé, bois de construction), les procédés de construction innovants (impression 3D, terre crue, isolation performante), les défis environnementaux (recyclage, économie circulaire, réduction de l’empreinte carbone) ou les enjeux sociétaux (accessibilité, bien-être, urbanisme inclusif).
À travers des exemples concrets et des retours d’expérience, les auteurs montrent comment la chimie permet de concilier performance, durabilité et qualité de vie.

Cet ouvrage propose une introduction approfondie aux équations aux dérivées partielles (EDPs) et à leurs applications dans les sciences de l’ingénieur. Il offre un panorama des principales méthodes d’analyse et de modélisation utilisées pour décrire divers phénomènes physiques, biologiques et économiques. Il privilégie une approche pédagogique, en évitant une rigueur théorique excessive, tout en présentant le cadre mathématique nécessaire à l’élève ingénieur ou au doctorant en ingénierie pour comprendre et appliquer ces outils.

Ce livre propose un voyage ludique où le plaisir de jouer devient une invitation à explorer les nombres et les formes. Il contient :

• La présentation de nombreux jeux où la logique mathématique joue un rôle primordial. 
• Des explications des règles pas-à-pas.
• Des concepts mathématiques appliqués aux jeux de plateau (divisions, suites, géométrie, probabilités).
• L'exploration de jeux anciens (morpion, casse-têtes, awélé) mais aussi de jeux réinventés pour plus de stratégies : morpion 4D, échecs 4D, échecs 6D, etc.

Les concepts liés à l’ordinateur quantique généralisent la notion de variables mais conduisent à redéfinir la notion d'instruction (qui sont maintenant des portes quantiques) et de programmes (qui sont maintenant des circuits). Ces concepts sont différents des concepts usuels et il s'agit de manipuler avec un circuit, une distribution de probabilité de sorte qu’elle se concentre sur les solutions recherchées.

Ce livre s'intéresse à des méthodes évoluées qui concurrencent les méthodes classiques alors que nous ne sommes qu'au début des ordinateurs quantiques. La présentation du livre introduit au fur et à mesure les éléments théoriques indispensables et, chaque fois que cela est possible, donne une ou plusieurs implémentations Python avec la librairie Qiskit.

Les exemples du livre sont essentiellement des problèmes d’optimisation qui font référence et sont des problèmes « historiques ». Le livre inclut en particulier le problème du Voyageur de Commerce (TSP en Anglais).

Le système GSM (Global System for Mobile communications) constitue la base des réseaux de téléphonie mobile de deuxième génération et reste incontournable pour  du réseau mobile mondial. 
Loin de se limiter à un récit technique de la norme GSM, cet ouvrage met en lumière le rôle des ingénieurs français dans cette révolution des télécommunications. Il s’attache à comprendre comment, dès le tournant des années 1980, une série d’acteurs français ont façonné, défendu puis diffusé des choix déterminants pour l’architecture des réseaux mobiles.
À travers des choix audacieux et des batailles stratégiques, ils ont façonné l’architecture des réseaux mobiles en conciliant enjeux technologiques, économiques et géopolitiques. Une histoire inspirante qui montre comment l’innovation « made in France » peut rayonner à l’échelle internationale.

Ce livre d’informatique se veut le compagnon des programmeurs Java, de l’université ou des écoles d’ingénieurs jusqu’à l’entreprise.

Il propose une exploration progressive des concepts qui font de Java un langage moderne : généricité, fonctionnel, concurrence, asynchronisme et parallélisme.

Il contient de très nombreux programmes complets ainsi que les références essentielles aux documentations techniques du langage.

Un ouvrage pour comprendre, maîtriser et pratiquer le Java moderne.