Learn the complete MetaHuman production pipeline in Unreal Engine 5.7, from character creation and animation to motion capture, facial performance, cinematic rendering, Mesh to MetaHuman, Blender, and production-ready workflows Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Learn the complete MetaHuman production pipeline using Unreal Engine 5.7
• Create production-ready digital humans with body animation, facial motion capture, and cinematic rendering
• Extend your workflow with Mesh to MetaHuman, Blender, Maya, Houdini, and professional production tools

Book Description

What you will learn

• Create, customize, and assemble production-ready MetaHumans in Unreal Engine 5.7
• Animate MetaHumans using Mixamo, DeepMotion, MetaHuman Animator, and Control Rig
• Capture realistic facial performances using an iPhone or a standard webcam
• Create custom clothing that can be repurposed across all MetaHumans with physics-based cloth simulations
• Create cinematic sequences using Level Sequencer, lighting, cameras, and Movie Render Queue
• Build custom MetaHumans with Mesh to MetaHuman and create hair grooms using Blender
• Integrate professional tools including Blender, Maya, Houdini, Marvelous Designer, Character Creator, and other production plugins

Who this book is for

This book is for filmmakers, game developers, technical artists, animators, students, and digital content creators who want to master the complete MetaHuman production pipeline using Unreal Engine. Whether you're producing game cinematics, animated films, virtual productions, or interactive experiences, you'll learn practical workflows that take you from creating a digital character to producing a final cinematic performance. A basic understanding of Unreal Engine is recommended.

Soils play a vital role in ecosystems, food security and health. To support public policies aimed at preserving soil functions and conservation, a multidisciplinary group of 19 experts from various public research organisations, coordinated by INRAE, analysed the scientific literature on soil quality and health. They have compiled the main available resources and key considerations for conducting assessments based on the ecological functions performed by soils. Around fifty physical, chemical and biological indicators are linked to an interpretation framework that specifies measurement or calculation methods, as well as reference values for interpretation.

The selection of indicators depends on the assessment’s objectives, such as drafting urban planning documents or zoning agricultural plots for land consolidation. To adequately choose these indicators, select the interpretation framework and determine the monitoring grid (spatial and temporal), and whether to aggregate certain indicators, the assessment’s goals must be carefully considered.

This approach fosters dialogue among stakeholders from diverse social and political backgrounds, enabling them to collectively reflect on the nature of soils and the future of land use. 

This book is intended for non-experts with a solid understanding of the subject, including decision-makers, professionals, and representatives of non-profit organisations and public services responsible for environmental and urban planning policies. More broadly, it is aimed at anyone interested in the public debate on soil quality and health.

Master modern mobile forensics with practical techniques for iOS and Android, covering data acquisition, artifact analysis, and data recovery in real-world investigations.

Key Features

• Acquire and analyze artifacts across devices, cloud ecosystems, and backups
• Apply advanced forensic techniques to recover deleted data from mobile devices
• Understand the limitations of modern mobile forensics and approaches to navigate them

Book Description

What you will learn

• Understand mobile security architectures, including encryption, sandboxing, and data protection mechanisms
• Perform advanced data acquisition and extraction from modern iOS and Android devices
• Identify and interpret key forensic artifacts such as messages, call logs, app data, and system databases
• Work with SQLite databases, WAL files, and encoded application data formats
• Use both open-source and commercial forensic tools in real-world investigation workflows
• Understand the limitations of modern mobile forensics and practical approaches to overcome them

Who this book is for

This book is designed for digital forensic practitioners and investigators looking to build foundational skills in mobile forensics across modern iOS and Android platforms. It is also valuable for security professionals, incident responders, and researchers interested in understanding mobile device internals, application data, and forensic artifact analysis. A foundational understanding of digital forensics and basic familiarity with operating systems will help readers get the most from this book, though prior forensic experience is not mandatory.

Build fast and scalable web apps with React 19 and Next.js 16 by applying proven design patterns, avoiding common anti patterns, and shipping production features with testing, CI/CD, and practical AI assisted workflows

Key Features

• Updated for React 19 & Next.js 16 with modern, production-ready design patterns
• Full-stack React mastery with Express, PostgreSQL, Drizzle ORM & CI/CD workflows
• Build scalable, SEO-first apps and boost developer productivity with AI tools like ChatGPT and Claude
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Manage state with Redux Toolkit, Zustand, and new React hooks
• Implement authentication, authorization, and role-based access control with NextAuth.js
• Write comprehensive tests using Jest, React Testing Library, and Playwright for E2E scenarios
• Deploy to production with caching, monitoring, and optimization strategies
• Apply structured prompt templates for refactors, bug triage, and ADR first-drafts
• Use Claude/ChatGPT to draft components, convert JS-TS, and generate tests with coverage goals

Who this book is for

This book is for intermediate to advanced React developers eager to master React and Next.js. Whether you're a frontend developer, full-stack engineer, or tech lead looking to upgrade your skills, this book provides advanced patterns and production-ready techniques you need. It's ideal for developers transitioning from traditional client-side React to server-centric architectures and those seeking to build performant, scalable applications. Teams interested in safe AI-assisted workflows and tools will gain practical, real-world guidance to accelerate delivery without sacrificing quality.

Cet ouvrage permet d’appliquer les bases de la mécanique des fluides aux  problématiques industrielles actuelles. Partant des définitions et propriétés des  fluides et allant jusqu’à la notion d’écoulements compressibles, il aborde la  statique, la cinématique, les pertes de charge, les équations de Navier-Stokes,  la similitude, la rhéologie, ainsi que les écoulements turbulents. Dans cette  nouvelle édition, de nombreuses améliorations ont été apportées tant sur les  parties de cours que sur les exercices d’application.

Bridge business goals and technical execution to build, deploy, and govern generative AI solutions on AWS

Key Features

• Align business strategy with practical generative AI use cases on AWS
• Build MVPs, agents, and production systems with Bedrock and SageMaker
• Apply governance, scaling, and responsible AI practices across industries
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Understand how generative AI creates business value
• Compare models, prompts, fine-tuning, and RAG
• Navigate the AWS generative AI stack with confidence
• Prepare data and select models for real use cases
• Build MVPs and production-ready AI applications
• Apply governance, ethics, and responsible AI controls
• Evaluate agentic AI patterns and emerging trends
• Measure impact across enterprise AI initiatives

Who this book is for

Developers, solutions architects, technical product managers, innovation leaders, CTOs, and business decision-makers who want to plan, build, and scale generative AI solutions on AWS. It is ideal for teams moving from experimentation to production and for leaders aligning AI initiatives with business outcomes. A basic understanding of cloud concepts and software delivery is helpful.

Ce manuel de référence, tout en couleur et richement illustré, offre un panorama
complet des Sciences de la Terre et de l’Univers, du Big Bang à l’origine de l’Homme en passant par toutes les spécialités qui en font la richesse : tectonique des plaques, minéralogie, géochimie, géomorphologie, sédimentologie, etc. Entièrement mise à jour, cette 18e édition est parfaitement adaptée au programme des étudiants en Sciences de la vie et de la Terre ou en Géographie, ainsi qu’aux candidats aux concours de l’enseignement.

Learn Unreal Engine 5 through a hands-on game project, progressing step by step from editor basics and Blueprints to AI, UI, cinematics, polish, and packaging Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Build a complete third-person game through a practical, step-by-step workflow
• Develop gameplay systems using Blueprints without writing code
• Create levels, a player character, enemy AI, UI, gameplay, and an opening cutscene in one project
• Solve common problems encountered during game development
• *Email sign-up and proof of purchase required

Book Description

What you will learn

• Build and prototype 3D game levels using Unreal's Level Editor
• Create gameplay logic visually with Blueprints (no coding required)
• Import, animate, and set up a playable character
• Configure player controls using Unreal's Enhanced Input system
• Build enemy AI that can sense and chase the player using Behavior Trees
• Design menus and HUDs with Unreal Motion Graphics (UMG)
• Produce an introductory cut-scene using the Sequencer
• Polish your game and package it into a standalone playable file

Who this book is for

This book is for aspiring game developers, students, and hobbyists who want to learn Unreal Engine 5 through hands-on game development. Whether transitioning from another engine or starting fresh, readers will find step-by-step guidance accessible. No prior Unreal Engine or programming experience is required. You should have basic computer skills and be familiar with common video game controls, mechanics, and objectives. It also suits artists, designers, and programmers who want to learn Unreal Engine 5 through practical, hands-on game development and prototyping.

Turn vibe coding into reliable software delivery by using specs, guardrails, tests, and workflows that keep AI-generated systems coherent

Key Features

• Turn fast AI coding into scalable software architecture
• Use specs, tests, and guardrails to control generated code
• Apply workflows for agents, reviews, CI/CD, and team adoption

Book Description

What you will learn

• Use specs to guide AI-assisted software delivery
• Manage context to reduce prompt entropy and drift
• Design guardrails for generated code and agents
• Build tests that check architectural intent
• Apply review workflows for AI-generated changes
• Handle prompt injection and untrusted context safely
• Use CI/CD and orchestration for multi-agent work
• Track prompts, model choices, and intent in Git

Who this book is for

This book is for developers, product managers, engineers, architects, and technical leads who are already using or evaluating AI-assisted coding and need stronger control over architecture, quality, security, and team workflow. Familiarity with software delivery, code review, testing, and modern development tools will help readers get the most from the book.

Build a strong PowerShell foundation by learning command discovery, modules, variables, objects, pipelines, operators, conditional statements, and loops, with clear examples that prepare you to start scripting and automating everyday tasks

Key Features

• Build a solid PowerShell foundation through commands, modules, variables, objects, and operators
• Learn to work effectively with the PowerShell pipeline and object-based output
• Write practical logic using comparisons, conditions, switch statements, and loops

Book Description

What you will learn

• Navigate PowerShell and use its help and command-discovery features
• Find, install, and use PowerShell modules
• Create and manage variables, arrays, and hashtables
• Work with objects, pipelines, filtering, sorting, and formatting
• Use arithmetic, comparison, logical, assignment, and other operators
• Build decision-making logic with if, elseif, else, and switch
• Automate repetitive logic using PowerShell loops
• Use break and continue to control script execution

Who this book is for

This book is for aspiring system administrators, IT professionals, developers, students, and complete beginners who want to learn PowerShell from the ground up. It introduces the PowerShell command line and help system before progressing through modules, variables, arrays, hashtables, objects, operators, conditional statements, and loops. Basic familiarity with operating systems is helpful, but no prior PowerShell experience is required.

Face au réchauffement climatique, la surchauffe des bâtiments tertiaires est un  enjeu central de confort, de santé publique et de performance énergétique. Qu'ils soient à construire ou existants, il est indispensable de penser et adapter les bâtiments à la chaleur pour garantir des lieux de travail, d’apprentissage ou de soins réellement résilients. Dans une approche complète, rigoureuse et accessible pour les acteurs du bâtiment public et privé, cet ouvrage explore :

• Les causes et les impacts systémiques du réchauffement sur les bâtiments, les usages et les territoires urbains.
• L’analyse technique du confort d’été, de la physiologie humaine aux indicateurs de surchauffe.
• Les stratégies de conception et de rénovation, des solutions passives aux systèmes techniques actifs.
• L’adaptation des usages et l’exploitation intelligente des bâtiments pour répondre aux épisodes extrêmes.

Build modern data and AI platforms in the Snowflake AI Data Cloud with practical recipes for data governance, automation, Cortex AI, observability, and intelligent application development.

Key Features

• Apply 100+ practical recipes for data engineering, data governance, and AI development
• Build secure, scalable data solutions using Snowflake platform capabilities
• Learn when and why to apply each pattern for real-world success
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Build secure Snowflake environments using roles and policies
• Create automated data pipelines with stages, tasks, and streams
• Ingest and transform data using Openflow and Snowflake
• Implement data governance with tags, masking policies, and classification
• Work with structured, semi-structured, and unstructured data
• Build AI-ready solutions using Snowflake Cortex
• Improve resilience with cloning and Time Travel
• Learn when and why to apply each pattern effectively

Who this book is for

This book is for data professionals designing, building, and operating modern data and AI platforms on the Snowflake AI Data Cloud. Data engineers, data architects, analytics engineers, AI engineers, developers, and technical leaders will gain practical implementation skills and architectural insight. Basic SQL and data warehousing knowledge is recommended. Whether you’re building governed data platforms, AI-ready architectures, intelligent applications, or enterprise analytics solutions, this book provides proven patterns and practical, real-world guidance.

Master system design and behavioral interviews with practical frameworks, real-world design case studies, leadership storytelling techniques, and AI-assisted strategies for senior software engineering roles.

Key Features

• Design scalable systems using modern architectures and real-world case studies
• Use a structured framework for system design interviews, including Agentic AI
• Develop Behavioral Intelligence to read the signals behind questions
• Master STAR-R and leadership storytelling for senior roles
• Get a free PDF eBook with print or Kindle purchase

Book Description

What you will learn

• Apply a structured, repeatable approach to system design
• Design scalable distributed systems with confidence
• Evaluate architectural trade-offs for real systems
• Apply core design patterns and algorithms
• Design AI-native and agentic systems
• Build high-signal stories with STAR+R and a story bank
• Craft senior-level leadership and impact stories
• Learn how Big Tech evaluates you, including the scorecard
• Speak the language of DORA, RACI, and risk heatmaps
• Use AI to prepare, practice, and sharpen your stories

Who this book is for

Software engineers, backend developers, senior developers, solution architects, engineering managers, executives and computer science students preparing for technical interviews will benefit from this book. It is also valuable for professionals targeting senior engineering roles at product companies and FAANG organizations. Readers should have a basic understanding of software development, data structures, algorithms, and object-oriented programming.

Nous devons au vivant nos aliments, notre eau, nos matériaux et notre bonne santé. Pourtant, par nécessité puis par confort, nous avons appris à le contenir, à le museler… jusqu’à menacer les fonctions qu’il assure et dont nous dépendons. Transformer durablement nos comportements suppose d’abord de changer notre regard.
Dans cet ouvrage, l’auteur nous accompagne sur les chemins de nos campagnes, de nos villes et de nos montagnes, à la rencontre de scientifiques et de protecteurs de la nature. Il nous apprend à reconnaître, dans notre santé comme dans nos paysages, le rôle invisible mais vital de la biodiversité. Progressivement se dessine une autre manière de se relier à la nature, nourrie tant par l’expérience sensible que par la compréhension de notre dépendance envers elle.
Nous ne sommes pas en guerre avec le vivant. Et notre avenir dépend de la paix que nous saurons tisser avec lui. 

Master FinOps principles and tools on Google Cloud Platform. Learn to monitor, control, and optimize cloud costs through hands-on strategies, real-world use cases, and GCP-native solutions and frameworks.

Key Features

• Learn FinOps tailored for GCP, from cost allocation and budgeting to cost governance and value realization.
• Optimize GCP spend, align engineering with finance, and support business efficiency.
• Through real-world use cases, hands-on tutorials, and tool-driven workflows using GCP-native services.

Book Description

What you will learn

• Apply FinOps principles to the Google Cloud environment, including AI workloads
• Establish the FinOps operating model, define roles, and enable cross-functional collaboration
• Navigate GCP billing models, pricing structures, FOCUS specs, and cost allocation strategies
• Set budgets, quotas, and alerts to manage cloud spend proactively
• Analyze usage with BigQuery and visualize spend trends in Looker Studio
• Optimize compute, storage, networking, and databases using FinOps Hub and native GCP tools
• Enforce financial guardrails to support a strong FinOps culture across the organization

Who this book is for

This book is ideal for FinOps practitioners, cloud architects, platform engineers, and DevOps professionals who want to optimize cloud spend and implement financial accountability in Google Cloud environments. A working knowledge of GCP services, billing concepts, and basic cloud operations is assumed. Familiarity with tools like BigQuery and GCP IAM will be helpful but not mandatory.

L’odorat est sans doute le sens le plus méconnu de tous. Pourtant, il joue un rôle essentiel dans la vie des êtres humains comme dans celle de l’ensemble des êtres vivants. Depuis des millions d’années, les odeurs sont utilisées par les plantes et les animaux pour alerter, attirer, se reconnaître, s’orienter ou tromper leurs ennemis. Des plants de tabac qui diffusent un signal d’alarme olfactif aux moustiques irrésistiblement attirés par les pieds en sueur, des lys qui imitent l’odeur d’un animal en décomposition aux manchots qui reconnaissent leur partenaire entre mille grâce à ses effluves, Bill S. Hansson propose un fascinant voyage au cœur de l’odorat. Requin, saumon, chien, souris, papillon, crabe ou albatros... tous ont un « nez » remarquable !

L’auteur dévoile les étonnants mécanismes de la communication chimique et montre combien le monde des odeurs a évolué au fil du temps. Les senteurs perçues par nos ancêtres étaient bien différentes des nôtres, et les technologies de demain transformeront à leur tour notre univers olfactif.

À la fois passionnant, accessible et foisonnant d’anecdotes, ce livre ouvre les portes d’un monde invisible qui façonne pourtant la vie.

Lire la préface d'Emmanuelle Joly, directrice de recherche INRAE, spécialisée dans la communication chimique chez les insectes

Learn how to add monetization to a Roblox game with game passes, developer products, purchase flows, analytics, and quality checks using practical workflows designed for experienced Roblox developers

Key Features

• Choose the right monetization model using game passes and developer products
• Build and validate a complete purchase flow from interaction to confirmation
• Instrument analytics and use player signals to guide iterative improvements

Book Description

What you will learn

• Choose between game passes and developer products
• Prepare Roblox Studio for a monetized workflow
• Build a complete client-server purchase flow
• Trigger purchases through in-world interactions
• Instrument analytics to capture meaningful player signals
• Run smoke tests and identify common monetization issues
• Diagnose player behavior using analytics and quality checks
• Extend monetization safely without unnecessary complexity

Who this book is for

This nanobook is for Roblox developers who already know how to navigate Roblox Studio, understand Luau fundamentals, and have a working gameplay loop in place. It focuses on turning an existing game into a monetized experience by implementing respectful purchase flows, basic analytics, and operational best practices. Prior knowledge of Roblox Studio, scripting, and publishing experiences is assumed.

This book provides a systematic study of facial expression recognition technology for human-computer interaction, covering the complete processing pipeline from image preprocessing to expression classification. The research presented in this book, supported by the National Natural Science Foundation of China, offers a comprehensive framework for facial expression recognition, including a fractional-step color constancy algorithm for complex illumination conditions, multi-feature fusion strategies, and theoretical innovations with practical engineering applications.

This book will be a valuable reference for graduate students and advanced undergraduates studying computer vision and related subjects, as well as for researchers and engineers working in artificial intelligence, computer vision, affective computing, and human-computer interaction.

Transform cyber threat intelligence operations with multi-agent AI workflows. Automate intelligence collection, corroborate threat signals, apply structured analysis, and produce tailored, high-fidelity intelligence at scale.

Key Features

• Build multi-agent AI pipelines to automate the cyber threat intelligence lifecycle
• Automate threat intelligence workflows for collection and cross-source corroboration
• Apply Structured Analytic Techniques to automated threat intelligence workflows

Book Description

What you will learn

• Build multi-agent AI pipelines for CTI workflows
• Automate intelligence requirements and collection planning
• Corroborate cross-source threat signals to score breach fidelity
• Scaffold Structured Analytic Techniques with AI agents
• Generate argument maps and tailored intelligence reports
• Automate secure primary research, forecasting, and threat hunting

Who this book is for

This book is for cyber threat intelligence analysts looking to scale their daily workflows with agentic AI and automation. Security engineers, detection engineers, and SOC practitioners seeking to automate intelligence operations will also benefit. To get the most out of the hands-on projects, you should have an intermediate understanding of cybersecurity, experience with threat intelligence methodologies, and basic Python 3.x scripting skills. No prior expertise in AI expert is required.

Build production-ready digital creatures using practical ZBrush recipes and Maya workflows covering sculpting, retopology, UDIMs, detailing, and production export for VFX and animation pipelines Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Create production-ready creatures using practical ZBrush sculpting recipes
• Build efficient workflows for blocking anatomy, detailing, and preparing assets for VFX and animation
• Optimize high-resolution creature sculpts using retopology, Layers, and UDIMs
• *Email sign-up and proof of purchase required

Book Description

What you will learn

• Apply professional creature sculpting workflows in ZBrush
• Use DynaMesh, ZSpheres, and Sculptris Pro effectively
• Sculpt clear primary, secondary, and tertiary forms
• Organize and optimize UVs using UDIM workflows
• Create custom brushes, Insert Multi Mesh brushes, and alphas for complex surface details
• Divide complex models to maximize sculpting resolution
• Export clean meshes and generate multi-resolution maps
• Optimize high-resolution sculpts using Decimation Master

Who this book is for

Ideal for digital sculptors, creature artists, and 3D modelers with a basic understanding of ZBrush who want to develop production-ready workflows. You'll benefit most if you're familiar with the ZBrush interface, navigation, brushes, and core sculpting tools. Basic knowledge of Maya's interface and modeling workflows is recommended. Whether you're a student with prior ZBrush experience, a freelancer improving your workflow, or a junior to intermediate artist preparing for a career in the industry, this book provides practical recipes, production insights, and industry-grade techniques.

Build reliable agent-orchestrated engineering simulation workflows with AG2/AutoGen, validation gates, auditable artifacts, failure recovery, and a practical heat-diffusion example.

Key Features

• Build planner-reviewer-controller-executor workflows with AG2/AutoGen
• Apply validation gates, audit trails, and fail-fast recovery to simulations
• Follow a runnable heat-diffusion example from request to traceable report

Book Description

What you will learn

• Map engineering simulations into explicit orchestration stages
• Define planner, reviewer, controller, and executor roles
• Implement an AG2/AutoGen workflow around a trusted simulation
• Validate requests, plans, tool calls, and simulation outputs
• Diagnose failures and apply repair, re-planning, or escalation
• Extend the pattern to CFD, FEA, parameter sweeps, cloud, and HPC

Who this book is for

This book is for ML/AI engineers, simulation engineers, and technical workflow owners who want to coordinate multi-step engineering simulations with agentic AI. Familiarity with Python and basic simulation workflows will help you follow the runnable examples. No prior AG2/AutoGen experience is required.

Progress from your first conversation to completing professional assignments, creating advanced AI workflows, and and enhancing your career.

Key Features

• Follow a structured visual learning path from simple chatbot to reliable professional AI partner.
• Learn through practical activities and complete projects instead of abstract explanations.
• Develop safe, responsible practices for reviewing AI output and protecting information.

Book Description

What you will learn

• Set up ChatGPT and become familiar with the interface
• Write clear prompts and refine responses through conversations
• Use web search, deep research, documents, images, and data
• Create professional documents, presentations, and visual reports
• Build tested, shareable skills and specialized custom GPTs
• Connect plugins, apps, and trusted MCP servers
• Design end-to-end workflows for complex assignments
• Use AI to advance your career and income

Who this book is for

This book is for professionals, entrepreneurs, freelancers, consultants, marketers, salespeople, writers, recruiters, analysts, managers, students, and career changers. It is suitable for complete beginners as well as existing ChatGPT users who want a more structured learning experience. No coding knowledge or previous AI experience is required.

RAMSES, l'ouvrage prospectif de référence, propose chaque année à un large public (étudiant, enseignant, manager, journaliste, diplomate...) les clés et repères indispensables pour décrypter les évolutions du monde, selon un credo simple : "Éclairer, ne rien imposer".

RAMSES 2027  interroge le monde d’après autour de 3 thématiques.

Assorti d'un riche appareil documentaire (annexes statistiques, chronologie, cartographie originale) et de vidéos des auteurs venant compléter et approfondir  les analyses de l'ouvrage.

This book presents a comprehensive overview of recent advances in the study of the Ginzburg-Landau (GL) equations. Organized into five chapters, it introduces the physical background of the GL equations before discussing the existence of global solutions and their asymptotic behavior in one- and higher-dimensional settings. It further examines applications of the GL equations to superconductivity and explores the connections between the GL model and harmonic maps.

Serving as both an introduction and a research reference, the book is intended for researchers in mathematics, physics, mechanics, and related disciplines, as well as university teachers, advanced undergraduate students, and graduate students wishing to deepen their understanding of the theory and applications of the Ginzburg–Landau equations.

Description
AI is powering modern industries across different domains, from recommendations to forecasting, making it a must-have skill. As global AI adoption accelerates, it has become necessary for professionals to understand deeply how to utilize machine learning to build more reliable solutions

The book systematically covers foundational to advanced data science concepts through structured programming implementations. It begins with machine learning fundamentals and exploratory data analysis using NumPy and Pandas, then covers the math behind supervised algorithms like linear regression and unsupervised clustering techniques like K-means. You will master ensemble learning architectures like XGBoost, time series forecasting with FBProphet, automated hyperparameter optimization using the Optuna framework, and imbalanced data corrections via SMOTE. The book concludes with a specialized bonus chapter that breaks down the math behind multi-head self-attention mechanisms and fine-tuning strategies within large language model transformer architectures using the Hugging Face ecosystem.

By the end of this book, readers will be able to move confidently from raw data to working models. They will possess practical skills in data preparation, model building, evaluation, and optimization, giving them the confidence to solve complex, data-driven software engineering problems in real-world scenarios.

Description
AI is rapidly permeating every facet of our lives, fine-tuning the quality of our existence and shaping a better future. Organizations are improving their business performance by leveraging AI in their digital transformation initiatives. At the heart of this fervent global wave are the data scientists, the data engineers, the AI architects and developers, who are infusing AI into applications to solve real-world problems.

This book begins with an understanding of AI, subsequently showing how to apply AI to solve real-world challenges. Each chapter provides several illustrations, code examples, and hands-on exercises to augment further understanding of the technical concepts, preparing the readers to implement right from the very first chapter. The readers also learn how to make their AI-based solutions robust and enterprise-ready. Though the concepts are explained with Java and AI tools in Azure, this could be well applied using other programming languages and other similar cloud environments.

This book will help Java developers and architects quickly ramp up on AI and use the necessary tools to build AI-enabled applications. AI technology stakeholders, administrators, and enthusiasts will learn and understand the concepts and how these are being applied in the real-world.

What you will learn
? Implement language, vision, and speech using cognitive AI.
? Develop text, vector, semantic, and multimodal search capabilities.
? Master generative and document AI for multimodal processing.
? Build multimodal chatbots to handle real-time AI conversations.
? Orchestrate multi-agent systems using Semantic Kernel and MCP.
? Leverage Azure AI, Microsoft Fabric, and AI Foundry.
? Operationalize and secure real-world enterprise AI use cases.

Who this book is for
This book is for Java developers, architects, cloud AI engineers, data scientists, IT administrators, stakeholders, and AI enthusiasts who want to build, design, deploy, and manage AI-enabled applications. It assumes a basic understanding of AI concepts, Azure cloud computing, and Java programming.

Table of Contents
1. Introduction to AI
2. AI in the Cloud
3. Data in AI
4. Language, Vision, Speech
5. Search
6. Generative AI services
7. Document AI
8. Conversational AI
9. AI Agents
10. Security
11. Production
12. Use Cases and Applications

Description
While traditional search engine optimization (SEO) was once the definitive tool for brand visibility, the rise of answer engines and generative models has introduced a notorious shift in consumer behavior. This book provides insights for navigating these changes, ensuring your content remains searchable and relevant in an era where traditional search results are being replaced by direct, AI-generated answers.

The AI Search Playbook provides a comprehensive overview of the emerging strategies necessary to survive this transition. You will learn to master answer engine optimization (AEO) to secure your place in direct AI responses and generative engine optimization (GEO) to influence the outputs of large language models. Key takeaways include techniques for structuring product data for AI consumption, understanding the mechanics of agent-based search, and transitioning your brand’s digital footprint from outdated SEO practices to these sophisticated new discovery frameworks.

By the end of this book, readers will be fully equipped to lead their product data through the AI revolution with confidence and technical competence. You will possess the specialized knowledge required to ensure your products and ideas are not just indexed, but actively found and recommended by the AI agents of tomorrow.

What you will learn
? Understand AI agent product discovery, evaluation, and recommendation mechanisms.
? Mastering SEO, AEO, GEO, and AI-driven product discovery.
? Structure product data, schema markup, and semantic HTML effectively.
? Measure AI visibility using Share of Model and benchmarking.
? Build resilient AI discovery strategies across evolving AI ecosystems.

Who this book is for
This book is for marketing strategists, SEO specialists, content architects, product managers, e-commerce professionals, and digital marketing consultants with a beginner-to-intermediate understanding of search engines and digital discovery. No advanced coding knowledge is required to learn AEO, GEO, and AI-first discovery practices, however, a beginner-to-intermediate grasp of how search engines currently work is necessary.

Table of Contents
1. The Rise of AI Agents
2. Understanding and Mastering AEO
3. GEO Strategies Foundations
4. Structuring Product Data for AI-Driven Recommendations
5. Technical Frameworks for Implementing Agent-ready Catalogs
6. Advanced AEO and Optimizing LLM Citations
7. PXM Evolution and Managing AI Experience
8. Dominating Agentic Shelf with Digital Shelf Analytics
9. Scaling GEO and Automating Visibility Across AI Platforms
10. Future-proofing Brands for the Next AI Shift

Description
Kubernetes has become the leading platform for deploying and managing containerized applications in modern enterprise environments. As organizations continue adopting cloud-native architectures, securing Kubernetes infrastructure and workloads has become a critical requirement. The Certified Kubernetes Security Specialist (CKS) certification validates the practical skills required to secure Kubernetes environments and implement security best practices.

This book is a practical study guide designed to help readers prepare for the CKS exam through hands-on learning and real-world scenarios. It covers cluster hardening, RBAC, service accounts, pod security, supply chain security, runtime security, network policies, logging, monitoring, and policy enforcement. The book includes practical labs, troubleshooting exercises, sample questions, exam-focused scenarios, preparation strategies, and full-length practice papers designed to mirror real certification challenges.

By the end of this book, readers will gain the confidence to secure Kubernetes environments and handle real-world security challenges. DevOps engineers, platform engineers, cloud architects, and security engineers will develop practical skills needed to succeed in the CKS certification and beyond.

Ce livre présente de manière simple et motivée les notions de géométrie riemannienne nécessaires pour appréhender les fondements géométriques de la relativité générale. Il est issu d’un cours donné à la Société Astronomique de France en 2025. Son ambition est de fournir au lecteur un exposé mathématique précis et rigoureux, mais sans s’attarder sur les détails techniques : l’absence de certaines démonstrations (pour lesquelles des références précises sont données) est compensée par des justifications heuristiques des objets introduits. 
En ce sens, ce cours sera un « guide de géométrie différentielle » pour les étudiants mathématiciens, leur permettant de découvrir les fondements théoriques de la relativité, source de recherches mathématiques importantes. Il séduira également les étudiants physiciens souhaitant approfondir les bases mathématiques de leurs cours de relativité générale. Une bonne compréhension des objets mathématiques ici présentés leur facilitera l’acquisition d’une maîtrise technique des outils de la géométrie différentielle et de la relativité générale, tout en posant des bases solides pour aborder des aspects théoriques plus avancés.

Riches d’une biodiversité exceptionnelle, les océans assurent de nombreux services essentiels à l’être humain, parmi lesquels la production d’oxygène, la régulation du climat ou l’approvisionnement alimentaire. Ces ressources majeures pour l’avenir de la planète sont toutefois soumises à des pressions croissantes, qui interrogent nos connaissances actuelles sur ces milieux. 

Que sait-on réellement des océans et des changements qui s’y opèrent ? La Lune est-elle la seule à agir sur les marées ? Les coraux vivent-ils aussi dans les eaux froides ? De nouvelles espèces de mammifères marins continuent encore d’être identifiées de nos jours. Quant à la surexploitation des ressources halieutiques, elle n’est pas forcément irréversible. 

En apportant un éclairage scientifique aux idées fausses souvent associées aux océans, cet ouvrage explore leurs propriétés physiques, la diversité du vivant qu’ils abritent, les ressources qu’ils fournissent et les pressions qui les affectent.

Description
Technology is crucial in today’s world, especially for project management. Modern software solutions help teams better coordinate, communicate more clearly, and make smarter decisions. As businesses embrace digital transformation, utilizing advanced technologies becomes essential for staying ahead and meeting the evolving needs of all stakeholders. Embracing technology not only simplifies tasks but also fosters collaboration and innovation among team members.

This book serves as a comprehensive guide for anyone looking to enhance their project management skills. It combines theoretical knowledge with practical application, offering a wealth of more than 1700 practice questions and insights to prepare for certification exams and real-world challenges. Each chapter focuses on essential aspects of project management, providing key takeaways and learnings.

By the end of this book, readers will emerge as confident and competent project managers, equipped with a robust understanding of key methodologies, risk management strategies, and effective stakeholder engagement techniques. They will have sharpened their leadership skills, enhanced their decision-making abilities, and gained practical insights that will empower them to navigate complex projects successfully and drive their teams toward achieving exceptional results.

Description
Apache Airflow cemented its position as the de facto workflow automation and data orchestration tool; hence, mastering Airflow has become critical for ensuring data reliability and operational efficiency. As Airflow enters the version 3.0 era, shifting towards a decentralized, service-oriented architecture with a native focus on data assets, staying ahead of its design patterns is important for modern data teams.

This book provides a comprehensive journey through the modern patterns of data orchestration. Readers will start with the origins and architecture of Airflow, followed by installation and configuration, core and special features, logging and monitoring, and popular managed versions. Each chapter delivers practical and hands-on insights that will help readers to practice side-by-side.

By the end of this book, readers will possess the practical competencies required to design, develop, test, and deploy production-grade pipelines. Readers will also gain invaluable skills in the latest asset-centric development, micro-orchestration, and modern CI/CD practices, turning them into highly capable engineers ready to tackle complex, enterprise-scale data infrastructure challenges.

Avec un taux de croissance annuel de l’ordre de 5 % entre 2015 et 2026, la filière crevette fournit des produits qui sont très présents sur les étals, devenant un pilier de l’aquaculture. Ce secteur industriel s’étend et intensifie son activité sur les zones côtières, notamment tropicales.Cette dynamique de croissance, fondée sur des pratiques et des modes de production hérités des années 1980, pose pourtant de nombreux problèmes environnementaux, économiques et sociétaux, remettant en cause la durabilité de cette filière : émergence d’épizooties parmi les animaux ou encore, impacts significatifs sur les écosystèmes côtiers.Pour mieux comprendre les risques et défis actuels de la filière, l’auteur fait le point sur l’expérience acquise dans différentes régions du monde (Nouvelle-Calédonie, Indonésie, Vietnam) autour des liens entre crevetticulture et environnement. Il aborde la mise en place d’outils innovants pour une surveillance et une gestion durable des systèmes, la diversification des espèces élevées, l’intensification écologique des systèmes de production, le développement d’une aquaculture multitrophique intégrée, mais aussi la réhabilitation des bassins aquacoles abandonnés par les éleveurs suite aux crises successives rencontrées depuis les années 1990.Cet ouvrage s’adresse à l’ensemble des acteurs de la filière crevette : agents des administrations et de leurs services décentralisés, collectivités territoriales, bureaux d’études, ainsi qu’aux professionnels du secteur — de la production à l’agro-industrie. Il constitue également une ressource précieuse pour les étudiants et toute personne souhaitant appréhender les enjeux du secteur et les solutions envisagées pour promouvoir une crevetticulture plus durable.

Description
Modern software systems do not fail in simple ways anymore. They run across clouds, regions, containers, functions, and sometimes edge devices, all interacting at speeds humans cannot easily reason about. Traditional monitoring still has value, but on its own, it often falls short of explaining why something broke or what actually matters in the moment. As architectures grow more distributed and AI-driven, observability has shifted from basic signal collection to interpretation, context, and decision support.

The book takes you on a step-by-step engineering journey, starting with core observability architectural principles and data-driven monitoring strategies. You will master OpenTelemetry, handling context propagation and advanced tracing techniques across complex microservices and Kubernetes monitoring environments. From there, you will learn to optimize an open-source intelligent monitoring toolchain featuring Prometheus, OpenSearch, Grafana, and Jaeger. We will also learn how generative AI is being applied in real environments to interpret incidents, reduce noise, and support operational judgment, including where it helps and where caution is still needed.

By the end of this book, the readers will be fully equipped to deploy a secure, scalable, and intelligent observability platform in any corporate environment.

Cet ouvrage présente une démarche structurée pour étudier, diagnostiquer et améliorer l’implantation d’un système physique de production. La méthode DESISHOP associe gestion de projet, lean manufacturing, modélisation des flux et analyse des données industrielles.

A partir du cas industriel PREMETO, le lecteur suit les différentes étapes d’une étude de faisabilité : analyse de l’existant, audit des gammes, identification des propriétés de flux, diagnostic de l’implantation, proposition de nouvelles solutions et évaluation multicritère.

L’ouvrage traite notamment des méthodes d’analyse des gammes : les classes, les niveaux, l’ordre de production, les sources et les puits, les relations entre postes de charge, ainsi que des méthodes de classification, des graphes et des métaheuristiques.

Fondé sur des travaux de recherche et d’enseignement ainsi que sur des expériences industrielles, ce livre s’adresse aux professionnels de l’industrie et de la Supply Chain, aux consultants, aux ingénieurs, aux enseignants, aux chercheurs et aux étudiants souhaitant disposer d’une méthode rigoureuse et directement exploitable pour analyser les flux et concevoir une implantation adaptée aux besoins de l’entreprise.

Description
Data Structures and Algorithms is an important subject in any university curriculum for the computer science stream. It provides a great tool in the hands of software engineers and plays a significant role in software design and development. It is also becoming a must-have skill for many competitions and job interviews in the software industry.

This book covers the topics useful for students and also for software developers working in the industry. The concepts are explained in a step-wise manner and illustrated with numerous figures, text, examples, and immediate code samples, which help in better understanding of data structures and algorithms with their implementation. There are exercises at the end of the chapters which help students to explore more and build a better foundation of the subject. The book has more than 500 illustrations, code samples, and problems. Solutions for exercises are also available with programs. Students can use it for self-learning, and developers can use this for providing efficient solutions for their day-to-day development problems.

After completion of this book, students will have a good understanding of Data Structures and Algorithms concepts and implementation. Software engineers will be able to provide better solutions with appropriate data structures and efficient algorithms.

What you will learn
? Fundamentals of data structures and algorithms.
? Algorithms analysis.
? Variety of data structures and algorithms useful for software design and development.
? How to efficiently use different data structures and algorithms.
? When and where to use appropriate data structures and algorithms.
? Data structures and algorithms concepts with implementation.
? Approach to solve problems using the right data structures and algorithms.

Who this book is for
Students who want to self-study data structures and algorithms for their university curriculum subject and to enter the software industry. It is also useful for software engineers who want to learn it to solve day-to-day problems with better software design and write efficient code.

Table of Contents
1. Introduction 2. Arrays 3. Linked Lists 4. Stacks and Queues 5. Recursion 6. Trees 7. Graphs 8. Sorting 9. Searching and Hashing 10. Storage Management

Description
Developing a mobile application is a key component in digital strategies to reach consumers. Developing it requires vision and expertise. Reusing the available knowledge is a key catalyst for progress. In AI-accelerated software development, this book gives the reader the psychological intelligence to anchor and become the captain of the ship powered by LLM.

Beginning with essential core dimensions from team prep and cross-cutting functions to technology selection, accelerators, and quality strategy, this book bridges the gap between high-level strategy and everyday coding. Build an understanding of the languages powering today’s top frameworks with practical explorations of Swift, Kotlin, and Dart. Through guided, step-by-step code walkthroughs of real-world one-page applications, you will gain immediate, practical mastery of Flutter, Kotlin Multiplatform (KMP), and cutting-edge Super App architectures.

By the end of this book, the readers will be equipped to play the key role as a strategist in a mobile development engagement and will have domain expertise. The reader will be equipped to consult, lead, and architect mobile application development.

Learn quantum chemistry and computing with updated Qiskit workflows, noise-aware simulations, and quantum machine learning techniques using Python, with hands-on learning, turning complex concepts into practical skills.

Key Features

• Explore new chapters on quantum machine learning and advanced algorithms
• Apply noise-aware quantum chemistry with error mitigation techniques
• Work with updated Qiskit workflows and modern Python examples

Book Description

What you will learn

• Understand quantum mechanics and molecular systems
• Build quantum circuits using Qiskit and Python
• Implement VQE for molecular energy estimation
• Apply error mitigation in noisy quantum systems
• Use optimizers for stable hybrid quantum workflows
• Develop quantum machine learning models for molecules
• Explore advanced algorithms beyond VQE

Who this book is for

Professionals interested in chemistry and computer science at the early stages of learning or interested in a career of quantum computational chemistry and quantum computing, including advanced high school and college students. Helpful to have high school level chemistry, mathematics (algebra), and programming. An introductory level of understanding Python is sufficient to read the code presented to illustrate quantum chemistry and computing.

Description
Cloud adoption continues to accelerate as organizations migrate workloads to platforms like AWS, Azure, and Google Cloud. However, as cloud adoption grows, managing and optimizing cloud costs has become increasingly complex and critical for businesses striving to maintain efficiency and financial control.

This book provides a practical, end-to-end guide to cloud cost management, taking you from foundational concepts to advanced optimization and governance. The book presents a comprehensive framework for managing cloud costs built on three pillars: observability, optimization, and governance. You will learn how to gain visibility into cloud usage and cost drivers, apply optimization strategies such as rightsizing, elasticity, modernization, and commitment-based savings to reduce waste, and establish governance through policies, allocation models, and cost-aware practices. The book also covers pricing fundamentals and real-world scenarios.

By the end of this book, you will be equipped to control cloud spending, implement sustainable cost strategies, and align technology decisions with business goals. Whether you are a cloud engineer, architect, or IT decision-maker, you will gain practical skills to manage cloud costs with confidence.

Description
Data Product Thinking is transforming modern enterprise strategy by turning raw datasets into reliable, self-service assets that drive real business value. It bridges technical data management and strategic business execution, giving you a clear blueprint for building, governing, and scaling high-impact data products.

This book provides a complete roadmap across four core phases. You will start by mastering data governance, business impact, and product characteristics across transactional, analytical, document, and third-party environments. Next, it covers key quality properties—existence, accuracy, completeness, timeliness, trustworthiness, and usability—while managing the lifecycle from creation to decommissioning. You will examine consumption formats for structured data, semi-structured documents, media, and AI models, alongside privilege management, backward compatibility, data culture, data economics, and agile adoption across governance, domains, and individual products. Finally, you will unlock data products for AI models, generative AI, quantum computing, low-code platforms, and autonomous networks.

By the end of this book, you will have the skills to design, govern, and deploy scalable data products, empowering you to lead enterprise data transformation.

What you will learn
? Implement enterprise data governance frameworks.
? Treat raw enterprise datasets as actionable assets.
? Map decentralized data products across transactional, analytical, and third-party systems.
? Enforce quality dimensions including existence, accuracy, timeliness, and data trustworthiness.
? Drive enterprise transformation using agile frameworks across domains and products.

Who this book is for
This book is for technology executives, enterprise and data architects, data engineers, product owners, and data governance leaders in large, complex organizations. Some familiarity with enterprise data governance and concepts such as data mesh or data fabric is helpful for students but not required.

Table of Contents
1. Introduction to Data Products and Data Governance
2. Impact of Data Products
3. Characteristics of Data Products
4. Types of Data Products
5. Ecosystem of Data Products
6. Data Products Lifecycle
7. Consumption of Data Products
8. Managing Data Products
9. Transforming Enterprises to Embrace Data Products
10. Adoption of Data Products in Enterprise
11. Data Products for AI
12. Future of Data Products

Description
Traditional monolithic architectures struggle to scale with multi-team development, frequent deployments, and diverse tech stacks. This book serves as a comprehensive, hands-on roadmap for frontend developers and architects to break down these monoliths into modular, independently deployable, and technology-agnostic components.

Structured around a complete multi-framework e-commerce app built incrementally throughout the book, this project-backed book combines practical coding with cutting-edge tooling. You will start by building a React 18 host shell, then master dynamic runtime module integration using Webpack 5 Module Federation, Vite, and ultra-fast Bun local builds. The chapters walk you through managing distributed workspaces via Nx and Turborepo monorepos, seamlessly embedding Vue, Angular 15, and Svelte 4 modules, and eliminating style bleeding with isolated Tailwind CSS design systems. Finally, you will implement interface contract testing and orchestrate automated, independent cloud deployments using Docker, Kubernetes, and GitHub Actions pipelines to AWS, Azure, and GCP.

By the end of this book, you will transcend single-framework limitations and possess the high-level competency required to confidently engineer, scale, and govern production-ready microfrontend architectures in real-world enterprise environments.

This book provides a comprehensive introduction to the fundamentals of aeronautical science and technology, guiding readers from the origins of flight to the latest developments in aerospace engineering. Structured in six main parts, it covers the history of aviation, basic aerodynamics, flight principles, aircraft propulsion systems, aircraft structures, and aircraft instruments and navigation, while also presenting selected recent technological advances in the field. Combining historical perspective with engineering fundamentals, the book offers clear explanations, practical insights, and numerous illustrations to help readers understand the principles that underpin modern aviation and aerospace systems.

Designed primarily for undergraduate students in aeronautical and aerospace engineering, this textbook is particularly well suited to introductory courses in flight and aviation science. It provides a solid foundation in key subjects such as aerodynamics, flight mechanics, stability and control, propulsion, aircraft structures, helicopter fundamentals, and astronautics. The accessible presentation also makes it a valuable resource for aviation enthusiasts and readers seeking a structured introduction to the field.

Si la recherche avance parfois au rythme patient des années, le quotidien des chercheurs peut soudainement être bousculé par des situations exceptionnelles. Que se passe-t-il lorsqu'un mail ou un coup de téléphone les mobilise dans l'urgence ? Pour le découvrir, partez en première ligne et parcourez des terrains d'investigations ou de réflexion uniques. Du pont d'un navire océanographique dans l'océan Indien aux salles de crises interministérielles, de fouilles archéologiques au cœur de la Moselle aux laboratoires de la station scientifique sur l'archipel Crozet, des chercheurs mobilisent leurs connaissances, déploient des équipements de pointe, développement des approchent innovantes, et vous livrent leurs récits en situation de crise. Séismes inattendus, maladies d'origine inconnue, pollutions oubliées... à travers 10 récits d'enquête accessibles à un large public, cet ouvrage vous plonge dans des aventures humaines qui mêlent technicité scientifique, engagement et émotion. Un recueil qui s'adresse aussi bien aux futurs chercheurs qu'aux passionnés de science ou aux adeptes d'enquêtes en tous genres. Découvrez l’ouvrage avec un 11^e récit inédit ! Dans Baignade à haut risque, parcourez les rivières corses avec Jérôme Boissier pour comprendre l’émergence inattendue en France de la bilharziose, une maladie tropicale… Cette enquête est disponible en accès ouvert sur https://doi.org/10.5281/zenodo.21509775

Description
Most software engineers can build features. Far fewer can design the entire platform behind them, end-to-end, in production. Cloud architecture has become the defining skill of a senior engineer, yet most resources teach it in fragments, leaving you to assemble the full picture on your own.

Drawing on decades of enterprise architecture experience, the authors provide a complete, end-to-end blueprint. You begin with the foundations: core pillars (availability, performance, security, observability, cost, and sustainability), design patterns, methods, technology selection, and adaptive architecture, taught through one running case study, Aethera Airlines. Then you design nine real-world systems from the ground up: UPI payments, a trading platform, OTT streaming, a collaborative document editor, an agentic LLM-powered recommendation engine, plus chat, social media, ride-sharing, and a URL shortener. Throughout, you apply domain-driven design, API-first thinking, capacity planning, and multi-cloud cost trade-offs, with hands-on exercises and design challenges for each of the nine systems.

By the end, you will think and build like a cloud architect: engineering fault-tolerant, secure, and observable platforms on any major cloud, and ready for senior system design interviews at top tech companies.

Ce livre classique, issu de notes de conférences de troisième cycle en mécanique statistique et en physique de la matière condensée, se concentre sur la physique plutôt que sur les mathématiques. Riche de nombreuses contributions originales au domaine, ce livre fournit une introduction concise à des concepts élémentaires ainsi qu’une présentation claire de sujets difficiles, tout en mettant l’étudiant au défi de méditer sur des questions demeurant pour l’heure sans réponse.
Le texte est constitué de notes prises au cours de conférences parrainées par les laboratoires de recherche de la Hughes Aircraft Corporation ; les notes ont été prises par R. Kikuchi et H.A. Feiveson, et elles ont été éditées par Jacob Shaham.

Né en 1918 à Brooklyn, Richard P. Feynman obtint son doctorat à Princeton en 1942. Malgré son jeune âge, il joua un rôle important dans le Projet Manhattan à Los Alamos durant la Seconde Guerre mondiale. Il enseigna ensuite à Cornell et à l’Institut de Technologie de Californie. En 1965, il reçut le prix Nobel de physique (avec Sin-Itero Tomonaga et Julian Schwinger) pour ses travaux en électrodynamique quantique. Le Dr Feynman introduisit également en physique de nouvelles techniques calculatoires et de nouvelles notations élémentaires. Les diagrammes de Feynman, par exemple, ont changé à jamais la manière dont les processus physiques élémentaires sont conceptualisés et calculés. Le Dr Feynman est l’auteur du Cours de physique de Feynman, ainsi que d’un grand nombre d’autres publications qui sont devenues des références et des manuels classiques pour les chercheurs, les étudiants et le grand public. Richard Feynman mourut le 15 février 1988 à Los Angeles.

For 10 years (2017-2026), the #DigitAg Convergences Institute conducted research on digital agriculture, the result of the transformation of agriculture through digitalisation, bringing together an interdisciplinary community of researchers from various French research and higher education organisations (INRAE, CIRAD, Institut Agro, University of Montpellier, INRIA, ACTA, AgroParisTech).This book describes the tools and methods developed, covering the entire data chain: from sensors to satellite imagery, including data processing, artificial intelligence, and decision support systems. Their uses for phenotyping, sustainable livestock farming, and food security are detailed. The book also explores the impacts of digitalisation on farmers' practices, ecosystems, and agricultural models in France and in the Global South. Interdisciplinarity is at the heart of this reflection: how did this community manage to bring together such diverse expertise? How did this approach contribute to rethinking the agriculture of tomorrow? This book provides concrete answers to these questions, drawing on a decade of collaborative research.This book is intended for students and researchers, and anyone interested in methodological advances in digital science and technology in agriculture.

Vous connaissez les méthodes de la Supply Chain Management. Savez-vous les appliquer ?

Ce deuxième volume prolonge directement le premier volume : ERP & Supply Chain Management : des origines à DDMRP – Maîtrise opérationnelle des méthodes de planification et de pilotage avec un ERP. Le premier ouvrage présente les fondements et les méthodes de planification et de pilotage avec un ERP. Ce second volume est consacré à leur application.

Les 77 exercices corrigés, complétés par des rappels de cours, permettent de vérifier la compréhension des méthodes, de consolider les acquis et de développer les raisonnements nécessaires à leur utilisation dans des situations proches de celles rencontrées en entreprise.

Les exercices portent notamment sur la gestion des stocks, le point de commande, le recomplètement périodique, le Kanban, MRP II, la charge et la capacité, le PIC/S&OP, la production synchrone, le DDMRP, le dimensionnement logistique et le paramétrage.

Les deux volumes sont complémentaires :
- le premier expose les concepts et les méthodes,
- le second les met en application.

L’ensemble conduit de la compréhension à la maîtrise opérationnelle.

L’ouvrage s’adresse aux étudiants, professionnels de la Supply Chain, enseignants, formateurs et consultants qui souhaitent s’entraîner, consolider leurs acquis ou disposer de cas pratiques.

Description
The field of artificial intelligence is undergoing a paradigm shift, moving beyond instruction-based generative AI to intent-driven agentic AI. This new frontier is defined by autonomous systems that can independently reason, plan, and act to achieve complex goals, serving as a strategic imperative that promises to redefine operational efficiency for the modern enterprise.

This book provides a hands-on playbook for architects and technology leaders to move from prototypes to robust, enterprise-grade agentic applications. It guides you through the lifecycle of building autonomous systems, mastering durable patterns like Coordinator-Worker-Delegator (CWD), building for interoperability using the open-standard Agent Communication Protocol (ACP), and mitigating security threats with a formal Agentic Risk Framework.

By the end of this book, you will be equipped with the expert knowledge required to architect, build, deploy, and govern sophisticated, scalable, and value-driven agentic AI systems that deliver tangible results in real-world enterprise environments.

Alors que les crises se multiplient, le rôle des chercheuses et des chercheurs évolue. Nombre d’entre eux sortent aujourd’hui de leur réserve académique pour investir l’espace public, selon des formes d’engagement inédites, pouvant aller jusqu’à la désobéissance civile.

Cet ouvrage explore ce tournant à travers deux angles : une analyse des nouvelles relations entre sciences et politique, et le parcours d’un chercheur engagé dans diverses arènes publiques — des mobilisations contre l’usage du plastique dans les cantines scolaires à l’échec de l’expertise sur les additifs nitrés, en passant par la politisation des débats sur les polluants éternels et l’émergence de collectifs comme Scientifiques en rébellion. 

Face à ces transformations, le livre interroge notre manière de considérer le monde, souvent réduit à un décor inanimé et/ou à un ensemble de ressources à exploiter. Il met en lumière certaines tensions des sciences contemporaines : malgré des savoirs toujours plus précis et performants, ceux-ci se révèlent fragmentés, standardisés et souvent déconnectés de l’expérience vécue et des préoccupations collectives. Devenus inaudibles et illisibles, ils ne permettent plus de construire un vivre-ensemble digne et durable. Les crises ne sont pourtant pas une fatalité. Elles offrent l’opportunité de questionner la façon dont nous produisons nos connaissances, et de repenser nos expériences et savoirs pour nous relier au monde que nous habitons, tant qu’il est encore temps.