Mathematical Statistics is a comprehensive undergraduate textbook developed from the authors’ 18 years of teaching experience at The University of Hong Kong (HKU) and Southern University of Science and Technology (SUSTech). Tailored for undergraduates in Statistics, Data Science and Big Data Technology, as well as graduate students in engineering-related fields, it covers core topics of mathematical statistics with logical rigor—from foundational probability theory to point estimation, interval estimation, hypothesis testing, and key concepts like sufficient statistics and Fisher information. What sets it apart is the inclusion of unique content rarely found in standard textbooks: Inverse Bayes Formulae, the Definition of Valid Categorical Distribution, and a Unified Expectation Technique, bridging theoretical depth with practical relevance for real-world data science applications.

Distinctive features of this book include:

1. Innovative Warp-Weft Dual Structure: In addition to the traditional chapter-section “Warp” framework, the book introduces a self-contained “Weft” thread, resulting in a concise and lucid overall structure. This design enables readers to quickly grasp core concepts, key knowledge points, and challenging topics even before completing the book, thereby streamlining the organization of information.

2. Motivation-Driven Conceptualization: When introducing fundamental concepts (e.g., score functions, Cramér-Rao inequality, confidence intervals), the book emphasizes the underlying motivation—the rationale and practical value behind each concept—to promote genuine understanding other than rote memorization.

3. Dual Function as Textbook and Presentation: Combining the rigor of a traditional textbook with the clarity of classroom slides, the electronic PDF version can be used directly for teaching. Instructors save preparation time by adopting it as-is or adapting it with their own insights.

4. Comprehensive Teaching Resources: The authors offer complete English-language supplementary materials, including a sample syllabus, teaching plan, ten tutorials, five assignments with solutions, and 100 additional practice problems—providing structured support for both instructors and students.

Cet ouvrage, issu d’une thèse, s’appuie sur l’étude de deux cas pour
explorer les conséquences de la numérisation sur les affiches publicitaires et sur les pratiques professionnelles des conservateurs du patrimoine. L’auteure interroge le devenir des affiches après leur transformation numérique et analyse comment ce processus leur confère une nouvelle existence. La recherche se concentre particulièrement sur la circulation des substituts numériques et leurs utilisations par les professionnels dans le contexte muséal.

Learn to build, manage, and deploy containers on Linux using Podman, Buildah, and Skopeo, and integrate them with Kubernetes and systemd, while running AI models locally through the Podman Desktop interface

Key Features

• Create containers from scratch using Buildah and move images securely with Skopeo
• Harden your container environment with rootless Podman, SELinux, and signed images
• Manage Kubernetes resources and streamline AI workflows with Podman Desktop

Book Description

What you will learn

• Understand the fundamentals and history of container technology
• Compare Podman and Docker to choose the right container engine
• Run and manage containers on various Linux environments using Podman
• Build containers from scratch using Buildah and manage them with Skopeo
• Secure containers using rootless execution, SELinux, and image signing
• Troubleshoot and monitor containers using system tools and Podman CLI
• Connect containers with advanced networking and integrate them with systemd
• Manage containers and explore AI/ML use cases with Podman Desktop

Who this book is for

The book is for cloud developers looking to learn how to build and package applications inside containers and system administrators who want to deploy, manage, and integrate them with system services and orchestration solutions. This book provides a detailed comparison between Docker and Podman to aid you in learning Podman quickly. Basic Linux skills are assumed. Familiarity with Docker, container concepts, and cloud environments is helpful but not required, as concepts are introduced progressively.

Stratégique dans l'industrie, l'optimisation des performances d'un projet est conditionnée par l'emploi des meilleurs matériaux. Indispensables à la création de produits de haute technicité, les matériaux innovants ont été conçus pour offrir des qualités optimales en matière de performance, de prix et de durabilité.
Cet aide-mémoire présente aux ingénieurs, chercheurs et étudiants les principaux matériaux innovants, en détaillant leurs caractéristiques essentielles :

• propriétés mécaniques et physico-chimiques ;
• durabilité (dans une optique de sécurité et de rentabilité) ;
• facilité de mise en oeuvre ;
• aptitude au recyclage et respect de l’environnement.

Learn from real-world examples to build, launch, and maintain your own Flutter apps with this extensive beginner's guide

Key Features

• Familiarize yourself with Dart and Flutter fundamentals through practical, real-world examples
• Explore widgets, animations, and plugins to craft intuitive UIs
• Package and deploy your Flutter apps to achieve native-like performance
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Explore Flutter core concepts and use for cross-platform development
• Gain a solid understanding of the fundamentals of Dart
• Work with Flutter widgets and learn about stateful/stateless widgets
• Take on advanced fundamentals such as navigation and state management
• Add animation using animated widgets and advanced animation techniques
• Manage the entire development lifecycle, including testing and debugging
• Release your app to both mobile stores and the web

Who this book is for

This book is for developers looking to learn Google's revolutionary framework Flutter from scratch. No prior knowledge of Flutter or Dart is required.

En couleurs et très illustré, ce manuel a été conçu pour vous qui débutez un cursus scientifique universitaire.
Il vous permettra d'acquérir les connaissances fondamentales en biochimie, mais aussi la démarche et la rigueur scientifique indispensables aux études supérieures. De multiples rubriques vous garantissent un apprentissage progressif et complet :

• un cours visuel avec de nombreux exemples concrets pour introduire et illustrer les notions et concepts clés ;
• des encadrés méthodologiques pour vous guider vers les bonnes pratiques ;
• des focus sur des applications, sujets de recherche ou thèmes d'actualité ;
• des repères historiques ;
• de nombreux QCM et exercices (tous corrigés), pour tester vos acquis et vous entraîner.

Cette nouvelle édition augmentée est enrichie en focus, figures et exercices. Elle comporte des compléments sur les membranes, le métabolisme mitochondrial et l'analyse fonctionnelle de gènes par  knock-out.

Ce livre présente une quarantaine de thèmes, couvrant une large partie du programme des oraux de l'agrégation interne de mathématiques.

Les thèmes sont répartis en trois catégories :

• des illustrations pour accompagner des résultats courants ;
• des exercices corrigés que l'on peut adapter en exemples de cours ;
• des développements approfondis, présentables en deuxième partie d'entretien. 

Pour chacun d'entre eux, une application, au moins, est proposée avec Python, Geogebra ou LibreOffice. L'ouvrage constitue donc un point d'appui pour répondre aux attentes du jury concernant « l'usage pertinent des outils numériques ».

Au-delà de ce concours, il peut intéresser les candidats à l'agrégation externe ainsi que tous les enseignants et étudiants désireux d'améliorer leurs connaissances informatiques et de rendre les mathématiques avancées plus visuelles.

This second edition spans NLP foundations to LLMs, RAG, & agentic systems, teaching you to design and fine-tune production-ready AI solutions in Python. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Engineer NLP systems from ML foundations to LLM architectures
• Implement RAG pipelines, routing layers, and agent workflows
• Fine-tune and align LLMs using LoRA, RLHF, and DPO methods
• Design production-grade AI systems with governance and safety

Book Description

What you will learn

• Build strong NLP foundations in math and ML
• Engineer text classification and NLP pipelines
• Train and fine-tune modern LLM architectures
• Implement RAG systems with LangChain
• Orchestrate multiple AI agents and tools to solve complex tasks
• Evaluate NLP model performance and apply AI safety best practices
• Integrate external data and tools using Model Context Protocol (MCP)
• Fine-tune transformers with LoRA, QLoRA, and DPO techniques

Who this book is for

This book is for machine learning engineers, data scientists, and NLP practitioners looking to deepen their expertise and build advanced AI solutions. It also benefits professionals and researchers who want to apply the latest NLP and LLM techniques in real-world projects. Software engineers entering the AI field and tech enthusiasts keen on modern NLP advancements will find it valuable. A solid understanding of Python and basic Machine Learning concepts is assumed.

Gain expertise in modern time series forecasting and causal inference in R to solve real-world business problems with reproducible, high-quality code

Key Features

• Explore forecasting and causal inference with practical R examples
• Build reproducible, high-quality time series workflows using tidyverse and modern R packages
• Apply models to real-world business scenarios with step-by-step guidance
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Understand core concepts and components of time series data
• Wrangle and visualize time series with tidyverse and R packages
• Apply ARIMA, exponential smoothing, and machine learning methods
• Explore deep learning and ensemble forecasting approaches
• Conduct causal inference with interrupted time series analysis
• Detect anomalies, structural changes, and perform change point analysis
• Analyze multiple time series using hierarchical and grouped models
• Automate reproducible reporting with RStudio and dynamic documents

Who this book is for

This book is for data scientists, analysts, and developers who want to master time series analysis using R. It is ideal for professionals in finance, retail, technology, and research, as well as students seeking practical, business-oriented approaches to forecasting and causal inference. Basic knowledge of R is assumed, but no advanced mathematics is required.

Build scalable, secure LLM applications with the Model Context Protocol and design modular, context-aware multi-agent systems for real-world deployment Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Build modular, production-ready AI agents using the Model Context Protocol (MCP)
• Integrate MCP with LangChain, AutoGen, and RAG for multi-agent collaboration
• Apply security, performance optimization, and evaluation patterns for real-world deployment

Book Description

What you will learn

• Understand the MCP architecture and standardized primitives
• Implement resource and tool providers in Python
• Connect LangChain and AutoGen to MCP pipelines
• Secure agent interactions using authentication and access control
• Add RAG pipelines with shared contextual memory
• Apply authentication, TLS, and access control models
• Optimize performance with caching and async patterns
• Evaluate and benchmark MCP systems for production readiness

Who this book is for

AI/ML engineers, software engineers, and solution architects building LLM-powered applications in production will benefit the most from this book. Cloud architects and platform engineers designing AI infrastructure will also find it valuable. If you’re looking for a standardized, modular, and secure approach to managing context across agents and tools, this guide is for you. Intermediate Python skills, a working knowledge of LLM concepts and REST APIs, and familiarity with system design patterns are expected.

Learn Python coding concepts the fun way through humour, storytelling, and beginner-friendly examples that make your first step into the world of Python programming enjoyable

Key Features

• Follow an adorable, illustrated teaching cat with sharp coding instincts as your guide
• Build confidence and coding skills with step-by-step explanations that gradually increase your understanding
• Reinforce your learning through mini-projects and exercises at the end of every chapter
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Set up Python and write your first program
• Understand variables, data types, and conditional statements
• Use loops, lists, dictionaries, and tuples to handle data efficiently
• Write and use functions to create reusable code
• Manage files and understand object-oriented programming and inheritance
• Debug your Python code to ensure it works flawlessly
• Discover how you can keep learning and building beyond this book

Who this book is for

This book is ideal for anyone with a sense of humour who’s new to Python or programming in general. It takes a step-by-step hands-on approach that will work for anyone with a practical mindset. Whether you're a student or a professional developer looking to expand your skill set, this book offers a comprehensive and enjoyable learning experience.

Updated edition of Packt's trusted, top-selling Intune title, this cookbook helps you solve daily admin challenges faster using proven workflows, PowerShell and Microsoft Graph automation, reporting, and AI-assisted insights for secure, reliable endpoint operations.

Key Features

• Manage and secure cloud-connected endpoints across Windows, macOS, iOS, Android, and Linux
• Automate Intune administration using PowerShell and Microsoft Graph APIs
• Improve operational efficiency with analytics, reporting, and AI-powered guidance using Security Copilot

Book Description

What you will learn

• Set up and configure a Microsoft Intune tenant
• Manage Windows, macOS, iOS, Android, and Linux devices
• Secure endpoints using policies, compliance, and Microsoft Defender
• Deploy and manage applications across platforms
• Automate administration with PowerShell and Microsoft Graph
• Monitor devices using analytics, reporting, and logs
• Apply advanced endpoint capabilities such as Remote Help and EPM
• Use AI-assisted insights to troubleshoot and optimize operations

Who this book is for

This book is for IT administrators, endpoint engineers, and cloud administrators responsible for managing devices with Microsoft Intune. It suits professionals with basic knowledge of Windows and Microsoft 365 who want practical guidance for daily device management, security, application deployment, compliance, troubleshooting, and automation across multiple platforms in a cloud-first environment.

L'Encadrement constitutionnel du pouvoir est une étude comparative approfondie des systèmes constitutionnels béninois et congolais (RDC), analysant leur rôle dans la limitation et l'organisation du pouvoir politique. L'ouvrage explore comment les Constitutions de 1990 au Bénin et de 2006 en RDC ont cherché à instaurer un État de droit démocratique, en mettant l'accent sur la justice constitutionnelle comme gardienne des libertés et de l'équilibre institutionnel.
L'auteur souligne les défis communs, tels que le déficit de culture constitutionnelle et les résistances autocratiques, tout en proposant des pistes pour renforcer le constitutionnalisme, notamment par une pédagogie citoyenne. Préfacé par le Pr Jean-Louis Esambo Kangashe, ce travail combine approches juridique, historique et sociologique, offrant une contribution essentielle aux débats sur la démocratie en Afrique francophone. Un livre incontournable pour comprendre les enjeux du pouvoir et des libertés dans ces deux nations.
 

Bestselling author Mark Price guides you through the latest and most common technologies a .NET developer should know: ASP.NET Core, Blazor, Minimal APIs, .NET MAUI, Avalonia, gRPC, GraphQL, SQL Server, SignalR, and more!? Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Use specialized libraries to improve all aspects of your apps, including security and localization
• Unlock scalability, performance, and resilience in your services
• Unleash the capabilities of Avalonia, Blazor, and MAUI to develop stunning, truly cross-platform apps for desktop, web, and mobile

Book Description

What you will learn

• Familiarize yourself with a variety of technologies to implement services, such as gRPC and GraphQL
• Store and manage data locally and cloud-natively with SQL Server
• Implement web services with native AOT publish support
• Leverage Dapper for improved performance over EF Core
• Implement popular third-party libraries such as Serilog, Humanizer, and Noda Time
• Build web apps using Blazor, mobile apps using MAUI, and desktop apps using Avalonia

Who this book is for

This book is for .NET developers interested in exploring more specialized libraries and implementation fundamentals behind building services and apps. You’ll need to know your way around .NET and C# to make the most of this book, so if you want to work your way up to this book, you can pick up Mark’s other .NET book, C# 14 and .NET 10 – Modern Cross-Platform Development Fundamentals, first.

This book offers a critical view of the archaeology of industrialisation, which is presented as one of the different practices coexisting within a broader industrial archaeology.

The main ideas, research frameworks, sources of information, and tools for recording, analysing and explaining industrial sites are examined. The archaeology of industrialisation is defined as the study of the industrial period through its material remains. The industrialised society is not understood as an isolated nor as a homogeneous group, but as a complex social system of global dispersion and impacts. Thus, it is argued that the archaeology of industrialisation is an archaeology of the Contemporary Age focused on the industrial production, distribution and consumption of things. Some space is dedicated to theorising about industrial heritage, which is approached as a related topic through a critical and archaeological lens. The ideas presented are illustrated with examples from Spain, Brazil and the People’s Republic of China. These cases help us rethink industrial archaeology and heritage from the Global South while observing alternative industrialization processes and industrial societies.

La radioprotection peut sembler complexe au premier abord, mais ses principes essentiels, destinés à protéger les travailleurs, le public et l’environnement, sont à la portée de tous.
De l’histoire de la découverte de la radioactivité à l’étude de ses effets biologiques, en passant par les interactions rayonnements-matière, les techniques de détection et les méthodes de protection contre l’exposition externe ou interne, ce guide rassemble les connaissances fondamentales indispensables. Chaque chapitre propose des focus radioprotection et des exercices d’entraînement, établissant un lien clair entre concepts théoriques et applications concrètes sur le terrain.
Cet ouvrage offre un panorama clair et structuré de la discipline : il allie rigueur scientifique et mises en situation, favorisant ainsi une compréhension active et pratique.
Que vous soyez étudiant, professionnel ou en formation, vous y trouverez les clés pour appréhender les enjeux de la radioprotection, en maîtriser les principes et développer des réflexes fiables face aux situations réelles. Une approche pédagogique qui transforme la science en savoir-faire opérationnel.

Basée sur des concepts et des techniques mathématiques simples, l’analyse dimensionnelle peut s’appliquer à toute discipline utilisant les mathématiques comme langage. Première étape à franchir dans toute démarche scientifique, son principal intérêt tient à ce qu’elle facilite l’étude des phénomènes que l’on cherche à formaliser mathématiquement en réduisant le nombre de grandeurs dont ils dépendent. Elle permet par ailleurs de prédire des résultats par l’application des règles de similitudes  : sans connaître la loi mathématique gouvernant un phénomène donné, il est possible de déduire des informations à partir de mesures sur des modèles réduits.
L’objectif de ce livre est de donner la vision la plus claire possible des possibilités mais aussi des limites de l’analyse dimensionnelle. Il expose de manière pédagogique les principales démonstrations sur lesquelles elle repose. De nombreux exemples de son application sont présentés pour des problèmes issus de domaines variés allant de la physique à la biologie. Un dernier chapitre invite le lecteur à réaliser, avec des moyens facilement disponibles et peu onéreux, des expériences pour confronter les résultats des méthodes décrites dans l’ouvrage à des mesures expérimentales réalisables pour la plupart grâce à des applications sur smartphone.

Build a production-ready multi-agent AI framework from scratch using MCP and A2A to orchestrate powerful agent workflows Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Build Python-based AI agents without relying on third-party orchestration frameworks
• Design production-ready multi-agent systems using A2A messaging
• Integrate memory and context with MCP to create adaptive and stateful agentic AI frameworks

Book Description

What you will learn

• Design and implement tool-using AI agents from the ground up
• Build modular components for extensible agent frameworks
• Create secure and observable tools with structured inputs
• Integrate agents with chat UIs such as Slack and Chainlit
• Leverage MCP for context handling and agent memory
• Orchestrate collaborative agent workflows using A2A
• Debug and deploy agents in production-like environments
• Explore future-ready agent capabilities and GenUX design

Who this book is for

This book is essential for AI engineers, ML practitioners, and software architects building agentic systems with large language models. It’s also ideal for DevOps engineers and technical leaders seeking deep insights into building and scaling autonomous AI workflows. Python coding skills and basic familiarity with LLMs are recommended.

Learn LaTeX to format documents, equations, and citations with ease. Manage bigger projects, typeset professionally, create publication-ready PDFs, & skill up with AI tools Add on: A companion website with an integrated online compiler to run all code examples. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Create professional, structured documents with precise formatting, citations, and bibliographies
• Learn LaTeX through hands-on examples covering math formulas, tables, figures, and presentations
• Explore modern LaTeX features, including AI-powered tools and advanced PDF capabilities

Book Description

What you will learn

• Format and structure research papers, reports, books, or theses
• Create tables, figures, citations, and bibliographies with ease
• Typeset math and scientific notations professionally
• Design presentations slides
• Generate polished PDFs with hyperlinks and metadata
• Manage large projects consistently
• Boost productivity with AI-powered coding, writing, and formatting tools

Who this book is for

This book is for students, researchers, educators, and professionals in academia, STEM, and publishing who need to create structured, high-quality documents. Whether you're preparing research papers, technical reports, books, or presentations, this guide simplifies LaTeX for beginners while offering advanced features for experienced users. No prior LaTeX knowledge is required, making it ideal for anyone looking to skill up in professional document formatting, citations, and PDF production with ease.

Build, test, and deploy real-world applications faster using AI-powered tools like Cursor, Windsurf, and Lovable with modern vibe coding workflows.

Key Features

• Master the emerging vibe coding mindset for AI-assisted software development
• Build and deploy complete applications using Cursor, Windsurf, and Lovable
• Apply real-world development practices including specifications, testing, version control, and CI-style workflows

Book Description

What you will learn

• Understand the vibe coding mindset and how it differs from traditional development
• Build applications using natural language with Cursor's AI agents
• Write effective specifications and to-do lists to guide AI-generated code
• Add automated testing, refactor code, and manage changes with Git and GitHub
• Build and deploy full-stack apps using Lovable and Supabase
• Analyze and extend existing projects using Windsurf
• Control AI output with rules and automate workflows for faster iteration
• Deploy applications confidently using modern cloud platforms

Who this book is for

This book is for beginners curious about building apps without coding every line, developers who want to prototype faster and guide AI effectively, and anyone interested in how AI is transforming the entire software development process.

Dès la fin du XIXe siècle, l’idée que le Soleil pouvait émettre des ondes radio fascinait les scientifiques. Après des tentatives infructueuses en France, en Allemagne et en Angleterre, il fallut attendre 1942 pour que cette émission soit enfin découverte… par hasard. Peu avant, Karl Jansky, aux États-Unis, avait observé que la Voie lactée, elle aussi, émettait des ondes radio. Après la Seconde Guerre mondiale, une nouvelle science naissait : la radioastronomie. Portée d’abord par des ingénieurs radio passionnés, elle s’est imposée dans l’étude de l’Univers. Aujourd’hui, avec des instruments colossaux et des découvertes majeures, elle éclaire les secrets des astres dans tout l’Univers.
Ce livre raconte l’épopée de la radioastronomie en France, des premières intuitions aux exploits contemporains, souvent menés dans le cadre de collaborations internationales. Depuis la station emblématique de Nançay, au coeur du Cher, et les deux instruments de l’IRAM (Institut de radioastronomie millimétrique), joyau franco-allemand-espagnol dont le siège est à Grenoble, nos chercheurs explorent le ciel avec des outils d’exception.

Learn the basics of GUI programming in C# through clear, step-by-step examples using Blazor, .NET MAUI, and WinUI 3. Build simple web and desktop interfaces while understanding core UI concepts, event handling, and data binding.

Key Features

• Understand core GUI principles in C# through simple, guided examples
• Build introductory apps with Blazor, .NET MAUI, and WinUI 3
• Learn data binding and foundational MVVM concepts
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Understand core GUI concepts and event-driven programming in C#
• Create beginner-friendly web interfaces using Blazor components
• Build simple cross-platform apps with .NET MAUI and XAML
• Handle user input, events, and basic UI logic in your applications
• Develop Windows desktop interfaces with WinUI 3 controls
• Apply data binding and introductory MVVM patterns

Who this book is for

This book is for C# developers who want a beginner-friendly introduction to GUI programming. It is suitable for junior developers, backend developers expanding into UI work, and learners who want to understand the foundations before exploring more advanced UI architecture. You should be comfortable with basic C# syntax, classes, and object-oriented programming concepts. No prior experience with Blazor, .NET MAUI, WinUI 3, XAML, or MVVM is required.

L’agriculture française traverse une recomposition profonde de ses formes de travail avec l’émergence de nouvelles pratiques, organisations et figures professionnelles. Plurielles et hétérogènes, ces transformations demeurent largement méconnues.

Cet ouvrage éclaire la diversité des mutations en cours à travers des situations concrètes : développement de fermes collectives, dissociation croissante entre terre, capital et travail, impacts de l’agroécologie et de la robotisation, recomposition des collectifs de travail autour des circuits alimentaires de proximité. Il révèle aussi de nouvelles figures de travailleurs, qu’il s’agisse de néo-agriculteurs non issus du milieu agricole, de travailleurs saisonniers ou détachés, d’intervenants bénévoles, ou encore du rôle actif des animaux dans les systèmes d’élevage.

Fondé sur une approche interdisciplinaire et des enquêtes de terrain, l’ouvrage propose un regard original sur le travail agricole. Il se distingue des analyses centrées sur l’emploi ou les statuts en s’intéressant à sa réalité vécue et organisée. Il renouvelle la réflexion sur les mutations agricoles en mettant en lumière des formes de travail souvent invisibles et interroge la soutenabilité des modèles actuels.

Fruit d’une démarche collective soutenue par le département Action, Transitions et Territoires (ACT) d’INRAE, il s’adresse aux chercheurs, enseignants, étudiants, ainsi qu’aux professionnels et agents du développement agricole intéressés par les dynamiques du travail agricole.

Lire la préface de Christophe-Toussaint Soulard, chef du département ACT

Create AI-ready enterprise solutions with MongoDB and discover how to design intelligent architectures that transform data into innovation, efficiency, and real business value

Key Features

• Complete guide covering GenAI to agentic AI, semantic protection to multi-agent systems
• 25+ proven AI use cases delivering measurable impact across 6+ industries
• 15+ real enterprise case studies from Novo Nordisk, Base 39, and more
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Design AI-ready data architectures that scale in production
• Define systems of action and explain why they matter for enterprises
• Modernize legacy systems for AI-ready, unified architectures
• Implement governance, privacy, and compliance frameworks for AI
• Explore real-world AI implementations for over six industries
• Deploy production RAG and agentic systems with MongoDB
• Apply semantic data protection in regulated industries
• Build domain-specific AI agents and intelligent copilots
• Apply MCP, causal AI, and multi-agent systems for future-ready architectures

Who this book is for

This book is for IT leaders, enterprise architects, solution designers, and innovators ready to transform AI potential into production reality. Whether you're modernizing legacy systems, implementing scalable AI solutions, or translating AI concepts into measurable business outcomes, this book provides practical frameworks and industry-proven patterns. Basic familiarity with enterprise systems and data architecture is helpful, but deep AI expertise isn't required.

L’intelligence, cette capacité à connaître, comprendre, apprendre et s’adapter, est une caractéristique partagée par bon nombre d’organismes vivants. On parle alors d’intelligence naturelle. Mais aujourd’hui l’IA vient bouleverser la donne : certaines machines ont-elles ce don?
En réalité, il serait plus juste de parler DES intelligences tant leurs caractéristiques et leurs capacités sont diverses. S’appuyant sur un corpus de connaissances et d’informations complètement différentes, toutes les intelligences ont-elles toutefois un même mécanisme fondamental de raisonnement ? Existe-t-il une seule et unique Raison, un seul et unique art de tirer le meilleur parti possible des informations disponibles ? Et si oui, quelle est sa nature ?
Ce livre propose une déambulation scientifique dans les multivers des intelligences naturelles et artificielles à la recherche de réponses. Comment les intelligences peuvent-elles percevoir, agir, apprendre ? Comment utilisent-elles le passé ou anticipent-elles l’avenir ? Comment trouvent-elles leur chemin dans l’espace qui les entoure ? Comment utilisent-elles les lois de la physique à leur avantage ? Comment certaines arrivent-elles à fuir, chasser, migrer, parler, lire, écrire ?
Cet ouvrage permettra à tout lecteur, simplement curieux ou déjà familier avec ces concepts, de mieux comprendre les multiples formes que peuvent prendre les intelligences, et en particulier ce que peut ou ne peut pas faire une intelligence artificielle, en complément et sous le contrôle des humains.

Get to grips with the Model Context Protocol (MCP) and learn how to build scalable, intelligent web applications with AI-ready architecture in Python

Key Features

• The only resource you'll need to build, test, and deploy MCP servers and clients
• Take a modern approach toward building, testing, and securing distributed agentic AI apps
• Get clear, professional guidance on developing for both LLM and non-LLM clients
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Understand the MCP protocol and its core components
• Build MCP servers that expose tools and resources to a variety of clients
• Test and debug servers using the interactive inspector tools
• Consume servers using Claude Desktop and Visual Studio Code Agents
• Secure MCP apps, as well as managing and mitigating common threats
• Build and deploy MCP apps using cloud-based strategies

Who this book is for

This book is ideal for web developers, software architects, AI practitioners, and tech leads looking to build scalable AI-integrated applications using MCP. Product managers overseeing AI initiatives will also find this book valuable. A basic understanding of web development and AI concepts is needed to make the most of this book.

Learn to automate Excel with Office Scripts and Power Automate using TypeScript to streamline workflows, manage data programmatically, and integrate modern scripting with Microsoft 365 for efficient business productivity.

Key Features

• Comprehensive guide to Excel automation using Office Scripts, TypeScript, and Power Automate
• Step-by-step coverage of scripting logic, data handling, and integration with Microsoft 365 tools
• Practical coding examples that simplify complex Excel tasks for real-world business applications

Book Description

What you will learn

• Automate Excel tasks efficiently using Office Scripts and flows
• Build reusable TypeScript functions for Excel data automation
• Manipulate ranges, tables, and charts through dynamic scripts
• Integrate Excel automations seamlessly with Power Automate
• Create visual dashboards and reports using script-driven charts
• Enhance productivity with advanced scripting and data handling

Who this book is for

This book is ideal for Excel users, data professionals, and automation enthusiasts who want to integrate scripting into their workflow. Readers should have a working knowledge of Excel and basic programming familiarity. A general understanding of JavaScript or TypeScript will help but is not mandatory.

Depuis le Big Bang, l’Univers n’a cessé de s’étendre et de se transformer. Au cours du temps, les particules élémentaires se sont formées, puis les atomes, les étoiles, les planètes… Le monde minéral était alors en place.
Comment, à partir de cette matière inerte, la vie a-t-elle pu émerger sur Terre il y a 4 milliards d’années ?
Les recherches scientifiques les plus récentes permettent de dessiner un scénario plausible mêlant déterminisme et hasard, à la frange entre l’ordre et le chaos : celui d’une Terre primitive dont les composants engendrent des formes de vie rudimentaires menant progressivement aux bactéries.
Après Les clés secrètes de l’Univers et L’Univers millefeuille, dans ce troisième ouvrage, Michel Galiana-Mingot nous invite à un voyage très pédagogique au coeur de la science, faisant tour à tour appel à la physique, la chimie, la géologie, la biologie et la philosophie. Partant des océans primitifs, il nous conte une possible et prodigieuse histoire de la vie.

A practical guide to building, deploying, automating, monitoring, and scaling ML and LLM solutions in production

Key Features

• Build reproducible ML pipelines with Azure ML CLI and GitHub Actions
• Automate ML workflows end to end, including deployment and monitoring
• Apply LLMOps principles to deploy and manage generative AI responsibly across clouds
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Understand the DevOps to MLOps transition
• Build reproducible, reusable pipelines using the Azure ML CLI
• Set up CI/CD for training and deployment workflows
• Monitor ML applications and detect model/data drift
• Capture and secure governance and lineage data
• Operationalize LLMs using RAG and prompt flows
• Apply MLOps across Azure, AWS, and GCP use cases

Who this book is for

This book is for DevOps and Cloud engineers and SREs interested in or responsible for managing the lifecycle of machine learning models. Professionals who are already familiar with their ML workloads and want to improve their practices, or those who are new to MLOps and want to learn how to effectively manage machine learning models in this environment, will find this book beneficial. The book is also useful for technical decision-makers and project managers looking to understand the process and benefits of MLOps.

"Tissé dans la trame de l’histoire du xxe siècle, ce récit retrace la grande épopée de la Science moderne avec la naissance de la mécanique quantique dans le berceau des Conseils Solvay. Grâce à son mécénat, Ernest Solvay, né en 1838, capitaine d’industrie belge passionné de sciences, a permis de démêler l’écheveau dans lequel s’engluait la physique à l’aube du xxe siècle.

De l’émergence de l’atome et ses particules à la conception de l’univers en expansion et à la théorie du Big Bang, ce livre raconte les amours, les amitiés, les bonheurs, les souffrances des plus éminents scientifiques qui ont révolutionné la Science : Albert Einstein, Marie Curie, Henri Poincaré…

Les recherches pointues de Marina Solvay associées à l’écriture fluide de Catherine d’Oultremont nous offrent un témoignage historique inédit de cette remarquable aventure qui se lit comme un roman. 

Outre les Instituts de Physique Solvay, créés en 1911, et de Chimie, créés en 1922, cet empire à caractère familial fondé il y a plus de 150 ans est devenu aujourd’hui une multinationale. La société Solvay emploie près de 25 000 personnes dans 62 pays. Solvay, c’est aussi la Solvay Brussels School of Economics and Management (SBS-EM), une faculté d’économie et de gestion rattachée à l’ULB (Université Libre de Bruxelles).

À PROPOS DES AUTRICES

Catherine d’Oultremont, née en 1955, passe son enfance et sa jeunesse en Catalogne avant de s’établir en Belgique. De formation artistique, elle apporte sa contribution à des revues traditionnelles et philosophiques et a écrit plusieurs romans, dont Le Prince de la Concorde et Sèves (éd. Le Cri).




Marina Solvay est l’arrière-arrière-petite-fille du grand industriel et fondateur de l’empire Solvay. Elle se consacre depuis de nombreuses années au monde de la musique et des sciences. Depuis 8 ans, elle accompagne les activités des Instituts de Physique et de Chimie Solvay, notamment en revalorisant leur patrimoine scientifique et historique, répertoriant leurs archives, réalisant des interviews de savants et de prix Nobel célèbres, afin de les faire connaître au grand public.

Build your Ubuntu 24.04 skills with hands-on guidance from an Ubuntu Core developer, covering desktop usage, security best practices, containers, and development environment setup

Key Features

• Master Ubuntu 24.04 through a structured learning path, from initial setup and customization to advanced development workflows
• Avoid common mistakes with practical tips for ensuring stability, security, and clean configuration
• Learn directly from an Ubuntu Core developer as he shares his insider knowledge and best practices
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Understand Ubuntu's software lifecycles to keep your system updated and secure
• Connect with Ubuntu communities to seek help and contribute to the ecosystem
• Master the command line to improve flexibility and efficiency
• Configure firewalls to manage network traffic securely
• Protect your data with full disk encryption for comprehensive security
• Differentiate between Snap and Debian packages to make informed software installation choices
• Build and manage containerized environments with Ubuntu

Who this book is for

This book is for software engineers, DevOps professionals, data scientists, systems administrators, and tech enthusiasts who want to get hands-on with Ubuntu 24.04. Whether you're new to Linux or looking to improve your setup, this book shows you how to build a secure desktop, use the command line with confidence, and create clean, reliable development environments. A basic understanding of operating systems is helpful but not required.

Description
Microsoft Azure is at the core of modern digital transformation, enabling organizations to build scalable, secure, and intelligent cloud, data, and AI solutions. As businesses modernize from on-premises systems to cloud-native and analytics-driven architectures, professionals who can design, implement, and operate Azure workloads are in high demand.

This book provides a practical journey through Azure, starting with cloud fundamentals, accounts, governance, networking, compute, and storage. It covers identity and access management, security, monitoring, and cost optimization before moving into data and analytics, databases and big data, integration services, and application services. You will also learn about AI and machine learning, Azure Databricks, DevOps, and governance, concluding with trends like edge, serverless, and hybrid-cloud patterns.

By the end of this book, you will be able to design robust architectures, implement secure and compliant data and AI solutions, automate deployments, and optimize performance and cost. You will gain the skills needed to confidently support enterprise workloads, modernize applications and data platforms, and advance your career as an Azure-focused developer, architect, or administrator.

Description
Data engineering is the backbone of modern business intelligence, yet navigating the complexities of roles and tools can be challenging for new and experienced professionals alike. However, data engineering sits at the core of modern analytics. As organizations scale their use of data, they need robust architecture, reliable pipelines, and strong governance to turn raw data into trusted insights.

This book follows the journey of data from source to insight. It defines the data engineering role, presents reference architectures, and explains how to model, secure, and govern data for analytics. Subsequent chapters cover CI/CD, ETL versus ELT, infrastructure operations, data quality, operations, AI, and supporting processes.

By the end of this book, the readers will possess the competency to build, design, and operate end-to-end data platforms, collaborate effectively with analysts and data scientists, and apply repeatable patterns to build secure, scalable, and high-quality data solutions.

À l’heure où l’agro-industrie s’étend au détriment des terres, des paysan·nes et du vivant, les fermes collectives incarnent une alternative concrète et plurielle. Cette anthologie rassemble une vingtaine de reportages sur ces lieux où l’on cultive autant la terre que la solidarité. De la coopérative maraîchère à la ferme autogérée, du réseau Longo Maï aux vergers du Turfu, ces expériences racontent d’autres manières de produire, de vivre — et de résister — ensemble. Nourrir les imaginaires d’une nouvelle génération paysanne, transmettre des pratiques et reprendre collectivement notre subsistance : tel est l’enjeu de ce livre accessible et pédagogique qui s'adresse plus largement à toutes celles et ceux qui souhaitent consommer de manière éthique et écologique. Créée en 1982, Silence est la plus ancienne revue e´cologiste française. Ingénieure agronome, Lola Keraron qui coordonne ce livre se fait connaître en 2022 en prononçant un discours viral (plus d'1 million de vues sur Youtube) appelant ses camarades d'AgroParisTech à déserter et refuser les jobs destructeurs de l'agro-industrie. Journaliste à Silence et militante écologiste, elle mène un projet collectif de cantine et maraîchage dans les Côtes d'Armor.

Description
MATLAB programming is the premier high-level language used across engineering and science for numerical computation, visualization, and algorithm development. This book leverages the power of MATLAB to bridge the gap between theoretical numerical methods and practical, hands-on applications.

In this book, you will explore truncation, rounding, and error propagation. You will gain essential tools for finding roots of nonlinear equations, like Newton-Raphson, and solving linear systems using direct Gauss and iterative Jacobi, Seidel methods. You will also explore the theories such as splines, Lagrange, Simpson's rules, Runge-Kutta, heat, Laplace, and wave equations. By focusing on implementing algorithms, this book ensures you gain the essential programming skills required to solve real-world mathematical problems that defy traditional analytical solutions.

By the end of this book, you will be proficient in both theory and practical application of numerical methods, equipped with the programming skills necessary to implement and validate sophisticated algorithms. You will possess the competence to confidently solve real-world eigenvalue problems and complex approximation tasks, preparing you for success in advanced technical fields.

Ce livre explore la vie et l’œuvre de "Marcellin Berthelot", un des plus grands scientifiques français. 
Une des qualités admirables de Berthelot, comme d’Henri Poincaré et de Claude Bernard, c’est que ces grands savants furent aussi philosophes. Voyez au contraire Pasteur : certes nul n’a jamais eu plus de génie ni réalisé de découvertes plus merveilleuses, et plus utiles à l’humanité. Mais, si génial qu’il fût dans la science, c’était un spécialiste, sans esprit philosophique. Je tiens du docteur Armaingaud que Pasteur lui fit bonnement confidence de la difficulté qu’il éprouvait à lire les ouvrages philosophiques de son prédécesseur à l’Académie française, Littré, lesquels ne sont pourtant pas bien difficiles. Aussi lorsque Pasteur prit séance sous la Coupole, son discours fut-il écrasé par celui de Renan. Mais lorsque Renan publia sa fameuse Lettre à M. Berthelot (les sciences de la nature et les sciences historiques), Berthelot répondit par une autre lettre sur la Science positive et la science idéale, où il se tient au niveau de son illustre correspondant et n’est nullement éclipsé. Je pourrais citer d’autres exemples de spécialistes, que leurs pairs proclament éminents dans leur partie, et qui errent ou disent des banalités dès qu’ils traitent des sujets dont les honnêtes gens au sens du dix-septième siècle peuvent juger. Ceux-là ont leur place marquée dans d’autres classes de l’Institut, mais ne devraient pas pénétrer à l’Académie française, temple et bientôt peut-être dernier rempart de la culture générale. Un Berthelot, un Claude Bernard, un Henri Poincaré y entrent de droit, et au premier rang, à côté des plus glorieux écrivains. 

En complément des sujets corrigés les plus représentatifs des oraux de Biologie des filières BCPST, cet ouvrage propose :

• Des points méthodes et des rappels de cours ;
• Des conseils de rédaction et des remarques et réflexions tirées des rapports du jury.

Description
As digital services move to cloud, mobile, and online platforms, cybersecurity and cyber law have become inseparable. Technical controls reduce risk, while legal and ethical frameworks define what is acceptable, accountable, and defensible when incidents occur.

This book starts with computing, networks, and cyber ethics, then builds core security concepts such as threats, vulnerabilities, and cryptography. It explains common cybercrimes and attack patterns, and related governance mechanisms, and walks through investigation, digital evidence, and forensic methods. Later chapters cover electronic records and e-governance, intellectual property in cyberspace, e-commerce law and consumer protection, international cyber law (including treaties and cross-border issues), and, finally human rights topics such as privacy, surveillance, speech, and access.

By the end, readers will navigate cybersecurity with ethical insight, recognizing risks, understanding compliance, and applying sound legal and ethical reasoning in practice.

Description
Agentic AI is rapidly emerging as the next frontier in artificial intelligence, enabling systems to act autonomously, adapt in real time, and make goal-driven decisions. In today’s fast-evolving digital landscape, this technology is reshaping industries by powering intelligent workflows, enhancing efficiency, and unlocking new opportunities for innovation.

This book provides a structured journey from foundational concepts to advanced implementation. It begins with the evolution of AI and the defining principles of agentic systems, then explores agent properties such as memory, personas, and lifecycle management. Readers will gain insights into enabling technologies like LLMs and reinforcement learning, followed by architectural patterns for building scalable agents. The chapters provide hands-on evaluations of frameworks like AutoGen, CrewAI, and LangGraph, alongside strategies for data governance and industry-specific use cases in finance and healthcare, such as fraud detection, healthcare personalization, and supply chain optimization. Through a delivery bot case study, you will master implementation, scaling, and AgentOps. Finally, we cover production readiness using containerization and LLM-as-a-judge evaluation to prepare you for the path to AGI.

By the end of this book, you will be competent in designing, securing, and deploying professional AI agents. You will possess the practical skills to transition from concept to production, ready to lead innovation in the agentic age.

Description
Web development is the foundation of every digital experience, and mastering it requires a deep understanding of the core technologies: HTML for content structure, CSS for stunning presentation, and JavaScript for dynamic behavior. This comprehensive guide is designed as your complete roadmap to becoming proficient in the essential language of the modern web.

It takes you from zero setup to deploying a fully responsive website. You will begin with an introduction to HTML to structure web pages, followed by styling techniques using CSS to create visually engaging websites. As you progress, you will learn JavaScript to add interactivity and dynamic functionality to your websites. Through practical examples, project-based learning, and hands-on exercises, this book covers everything from basic HTML elements and CSS layouts to advanced JavaScript concepts like DOM manipulation, events, and AJAX. You will also explore responsive design techniques, best practices for cross-browser compatibility, and debugging.

By the end of this book, you will have the confidence to create professional-grade websites from scratch and understand the underlying principles of web development that can be applied to any modern framework or content management system.

Peut-on vivre sans mathématiques ? Les notions les plus simples sont utiles partout : elles nous aident à prendre des décisions au quotidien et à comprendre le monde… Elles ne sont pas réservées aux spécialistes !

À vous, qui êtes resté(e) peut-être longtemps loin des maths, mais avec l’envie ou le besoin d’y revenir, pour accompagner vos enfants ou vos élèves dans leurs apprentissages, ce livre est fait pour vous !

Vous y trouverez une approche concrète, décomplexée et rassurante des mathématiques, de la maternelle à la fin du collège, agrémentée de quelques recettes appétissantes, de « boss des maths » aux vies palpitantes, de tours de magie pour épater vos proches… Sur la base de situations simples, les explications sont claires, rigoureuses, progressives et teintées d’humour.

Investie dans l’enseignement au lycée, à l’université et dans la préparation au concours de professeur des écoles, Marie Debuisser, professeur agrégée de mathématiques, partage avec vous sa passion (et peut-être bientôt la vôtre !).

Ce livre permet de comprendre les bases de la cybersécurité et de reconnaître les principaux dangers du monde numérique en adoptant de bonnes pratiques au quotidien.

Ce livre propose une approche claire, concrète et pédagogique à travers :

• Des mises en pratiques avec exercices corrigés
• Des zooms sur des éléments majeurs de cyberculture
• Les résumés des points essentiels
• Des fiches métiers en lien avec la cybersécurité

L’objectif est de donner les clés pour naviguer sur Internet en toute confiance, protéger ses proches et participer activement à la sécurité collective. Ce livre est un guide pour s’informer, se former et agir parce que la sécurité numérique est l’affaire de tous.

Stéphane Renouf est professeur agrégé d’Informatique au lycée et en classes préparatoires. Il est également formateur en Bachelor Cybersécurité et doctorant en didactique de l’Informatique à l’université Côte d’Azur.

Description
In the cybersecurity landscape, traditional perimeter-based solutions are no longer enough to combat increasingly sophisticated attacks. The CompTIA Cybersecurity Analyst (CySA+) certification is a globally recognized, vendor-neutral credential that validates an individual's knowledge and skills in the area of cybersecurity analysis and response. The CySA+ certification is designed to equip professionals with the necessary skills to identify and combat cybersecurity threats and vulnerabilities.

With the help of this guide, you will learn the essential skills needed to analyze and interpret data to identify vulnerabilities, threats, and risks to an organization's security. You will also learn how to develop and implement effective security policies, procedures, and best practices, as well as understand the legal and ethical implications of cybersecurity incidents. This exam guide features practical case studies and exam tips to help you prepare for the CySA+ exam.

By the end of this book, you will be prepared to advance your career as a cybersecurity professional or enhance your IT portfolio with critical cybersecurity skills, making the CompTIA CySA+ Exam Guide the perfect resource to help you achieve your goals.

Sous le titre « Mécanique des fluides : Principes fondamentaux, Modélisation et Équations du mouvement », cet ouvrage s’adresse principalement aux futurs ingénieurs en génie civil et aux étudiants des classes préparatoires. Reconnaissant le rôle central de la mécanique des fluides dans la conception et l’innovation, ce manuel vise deux objectifs majeurs : d’abord, une introduction claire et accessible aux notions fondamentales de la mécanique des fluides ; ensuite, une initiation progressive et rigoureuse à la modélisation mathématique des écoulements. Le parcours didactique s’achève par l’établissement détaillé des équations de Navier-Stokes, offrant aux lecteurs les clés pour décrypter cet univers essentiel de l’ingénierie.

Description
As organizations scale, the need for efficient and intelligent data platforms continues to grow. Azure Databricks stands out as a leading platform to deliver scalable data processing, collaborative workflows, and seamless cloud integration. The ability to build scalable pipelines using Apache Spark has become a critical skill for modern data professionals. This book provides a practical and structured journey through the complete data engineering lifecycle using Azure Databricks.

It begins with the fundamentals of big data and Spark, then moves into building scalable ETL/ELT pipelines, applying transformations, and enforcing data quality. You will explore architectural patterns in modern data ecosystems and build real-time streaming solutions. Readers will also learn to integrate Databricks with ADF, Power BI, Event Hubs, and other services. The book also covers DevOps and CI/CD using Databricks Asset Bundles.

By the end of this book, you will be equipped with the hands-on skills needed to design, build, validate, and manage production-grade data solutions on Azure Databricks. Whether you are a beginner or an experienced professional, you will gain the confidence to engineer robust data solutions that power analytics, AI, and modern data products.

Description
Virtualization is the foundation of modern information technology. It helps businesses make the most of their resources, cut costs, and speed up innovation. It is the leader in data center virtualization, making it a vital skill for modern IT professionals.

This book is a step-by-step guide to achieving the VMware Certified Professional - Data Center Virtualization certification. Starting with virtualization fundamentals and the vSphere ecosystem, the book progresses through ESXi installation, vCenter deployment, networking, storage, virtual machine management, and cluster configuration. Readers will also explore lifecycle management, best practices, and real-world scenarios. Each chapter combines conceptual learning with hands-on insights, ensuring both exam readiness and practical skills.

By the end of this book, readers will be equipped to confidently design, implement, and manage VMware vSphere environments and will gain expertise in VM provisioning, high availability, resource optimization, automation, and security best practices. Above all, readers will be confident enough to get certified for the VCP-DCV certification and be able to apply these skills to advance their careers in the realm of virtualization and cloud infrastructures.

Production de contenu de qualité, personnalisation à grande échelle, stratégies de communication percutantes : les outils d’intelligence artificielle sont là pour vous simplifier la tâche. Apprenez à les maîtriser et gagnez en efficacité !

Pour s'en emparer, cette boîte à outils présente  36 outils concrets, expliqués simplement, applicables tout de suite : 

• Des fiches simples et opérationnelles au quotidien ;
• Une présentation synthétique et visuelle pour maîtriser l’essentiel ; 
• Des conseils, étapes de mise en oeuvre et cas pratiques pour approfondir.

Ils sont regroupés dans  4 grands thèmes/dossiers : 
1. Les IA généralistes  pour  la création de contenu
2. Les IA pour l’image, la vidéo  et l’audio
3. Les IA pour les présentations  et les retranscriptions
4. Les autres usages des IA : agent IA,  automatisation et vibe coding

Avec  des focus sur :

• Les fonctionnalités et spécificités  de chaque IA
• Les perspectives induites  par les intelligences artificielles
• Des guides d’utilisation étape  par étape
• Des témoignages et des plans  d’action concrets

Que vous soyez complètement novice ou déjà utilisateur d’IA génératives, cette  deuxième édition vous donnera les clés pour mieux comprendre le potentiel de ces  technologies et surtout pour les utiliser de manière créative.
 

Compte tenu de la multiplication des attaques informatiques, la gestion des risques liés à la sécurité de l’information est un enjeu majeur pour les entreprises et les organisations qui doivent sécuriser efficacement leurs actifs informationnels et leurs processus métier.
C’est pourquoi cet ouvrage explique comment élaborer, mettre en place, exploiter, maintenir et améliorer les ressources d’une organisation pour mener à bien un projet SMSI (Système de Management de la Sécurité de l’Information)  :

• Rappel des notions essentielles de la cybersécurité et de l’analyse de risque
• Principes généraux d’un SMSI et de la norme ISO 27001
• La mise en œuvre d’un SMSI selon 8 grandes étapes clés de la mise en place d’un SMSI

Description
AI coding assistants like GitHub Copilot, Cursor, and Claude Code are transforming how developers write software. Understanding how to collaborate strategically with AI has become an essential skill for developers who want to remain productive and competitive in the modern software industry. This book provides a clear roadmap to navigate this revolution, moving you from a solo programmer to a high-level AI collaborator who can build complex systems faster than ever.

This book teaches you practical techniques for working with AI coding tools throughout the entire development lifecycle. You will learn the fundamentals of prompt engineering and how to maintain context with AI assistants to get better code suggestions. The book covers setting up your AI development environment, designing software architecture with AI support, generating and reviewing code collaboratively, and debugging efficiently. You will explore advanced patterns, including multi-agent workflows, autonomous development with agent mode, and the Model Context Protocol for complex projects. Real-world case studies demonstrate how to build complete applications using AI assistance while maintaining quality and control.

By the end of this book, you will know how to structure your AI collaboration for maximum productivity and code quality. You will understand when to rely on AI suggestions and when human expertise is critical. These practical skills will help you build software faster, maintain higher standards, and adapt to the evolving role of developers in an AI-assisted world.