De la couture à la programmation, il n’y a qu’un fil. À travers ces 6 tutoriels illustrés étapes par étapes, apprends les bases du codage Arduino, de l’électronique et de la couture pour créer tes propres accessoires de fashion tech. Chaque projet contient son lot de défis pour encourager la créativité et l’approfondissement des connaissances. Que ce soit un bijou, un porte-clé ou un vêtement, personnalise tes créations en fonction de tes goûts et tes envies.

Apprends les bases du codage Arduino en 6 activités créatives !
Tuto 0 Un bracelet lumineux
Tuto 1 Un porte-clé musical
Tuto 2 Un collier qui change de couleur en fonction de ton humeur
Tuto 3 Une poche à LED pour écrire des messages
Tuto 4 Une trousse magique
Tuto 5 Une ceinture avec des LED qui scintillent

Learn how to design and implement neural networks using Python and TensorFlow. This book covers neural network fundamentals, machine learning, and deep learning techniques with practical, real-world applications.

Key Features

• Hands-on coding examples using Python and TensorFlow to implement neural networks
• Comprehensive coverage of deep learning concepts, from simple networks to complex architectures
• Real-world applications of neural networks in image recognition, classification, and more.

Book Description

What you will learn

• Understand the basics of neural networks and their applications in AI
• Implement a simple neural network using Python and TensorFlow
• Use advanced techniques like gradient descent and backpropagation for optimization
• Explore deep learning and convolutional networks for complex tasks
• Master the core algorithms used in deep neural networks
• Learn how to implement learning in multilayer networks

Who this book is for

Ideal for beginners and intermediate Python developers with an interest in machine learning, this book assumes a basic understanding of programming and Python. It’s designed for readers who wish to dive deeper into the theory and practical application of neural networks and deep learning. The prerequisites include basic knowledge of Python and an understanding of fundamental concepts in machine learning. No prior experience with TensorFlow or neural networks is required.

Conçu pour appréhender toutes les matières scientifiques de l’année, ces formulaires sont les compagnons idéaux pour la préparation des colles, la résolution des exercices et des problèmes mais surtout pour accompagner les révisions de 1re année.

Une vision claire des savoirs, une mobilisation rapide des connaissances, une approche croisée des notions à connaître sont les atouts indispensables à la réussite en prépas. Ce formulaire est la réponse à ces exigences. Il consiste en :

• un résumé clair et concis du cours : définitions, lois, théorèmes, propriétés et schémas
• une mise en valeur des formules à connaître
• un classement thématique des notions indispensables
• un index très précis en fin d’ouvrage qui permet de retrouver au plus vite la notion cherchée.

Les ouvrages ont été conçus et rédigés par des professeurs enseignant en CPGE dans différents lycées. Leur contenu a été discuté et pensé avec soin pour permettre la meilleure adéquation avec les attentes et les besoins des étudiants.

Pour réussir en prépas, il faut assimiler le cours, en connaître les points fondamentaux et savoir le mettre en application dans des exercices ou des problèmes souvent ardus. Cette collection est conçue pour répondre à toutes ces difficultés. 

Les points clés :

• Le résumé de cours pour accéder à une connaissance synthétique des notions.
• Les méthodes de toutes les techniques usuelles qu’il faut savoir mettre en place.
• Le vrai/faux pour tester sa bonne compréhension du cours.
• Les exercices avec indications, souvent tirés d’annales des concours et toujours corrigés.
• Les exercices type-oraux qui reprennent des sujets posés par les examinateurs.
• Une introduction méthodologique avec tous les conseils clé en main pour réussir son année.

Selling to CIOs and CISOs isn't easy. Learn how internal champions drive change and how trusted vendors consistently win C-suite deals.

Key Features

• Understand what CIOs and CISOs truly prioritize when selecting vendors
• ?Build and enable champions who influence decisions from within
• ?Learn how to become a trusted partner to the C-Suite
• ?Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• How CIOs and CISOs evaluate vendors beyond features and price
• ?The real priorities driving C-suite technology buying decisions
• ?How to identify and enable champions who advocate from within
• ?The language of outcomes that resonate with executive buyers
• ?Practical frameworks for navigating C-suite sales conversations
• ?Learn to sell into major transformations
• ?How to build trust that goes beyond the contract and the close

Who this book is for

?This book provides a practical guide to mastering the C-suite technology sale, written for account executives and sales leaders who struggle to close with CIOs and CISOs, and for internal champions who want to build influence, drive strategic decisions, and grow their career from within. Unlike most sales books, this is written by someone who has seen both sides of this process, as a former CIO, CISO, and an internal champion, and someone who has sold consulting services, products, and business cases.

Explore the world of image processing, computer vision, and generative AI with Python—from fundamental concepts and classical methods to deep learning, modern vision systems, and real-world visual content generation. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Master end-to-end image processing and computer vision workflows using Python
• Build visual AI systems with classical, deep learning, and generative AI techniques
• Apply theory with production-ready implementations using leading Python libraries
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Build image processing and computer vision pipelines
• Apply image enhancement, restoration, and segmentation
• Implement image classification and object detection models
• Explore CNNs, Vision Transformers, and attention models
• Generate and edit images using GANs and diffusion models
• Develop multimodal vision-language AI applications
• Apply visual AI across diverse real-world domains
• Implement super-resolution, style transfer, and image-to-image translation

Who this book is for

Python developers, engineers, applied researchers, students, and AI practitioners who want to build end-to-end image processing and computer vision systems. A working knowledge of Python is required, while familiarity with linear algebra, calculus, and basic machine learning concepts will help you get the most from the advanced topics.

Learn distributed AI through hands-on experience with training frameworks, inference engines, and orchestration tools to build production-ready training, inference, and serving systems for modern large-scale AI. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Understand GPU hardware, high-speed interconnects, and parallelism strategies
• Hands-on exercises at the end of every chapter
• Learn distributed training with resource-optimized techniques
• Deploy high-performance inference with advanced optimization and memory management
• Build production serving stacks with job schedulers, orchestration, and observability

Book Description

What you will learn

• Estimate memory and compute requirements for training and inference
• Understand GPU hardware, interconnects, and parallelism strategies
• Implement distributed training with parallel and sharded techniques
• Build production inference systems with batching and memory management
• Deploy via cluster orchestration with optimized GPU scheduling
• Create production serving stacks with routing and observability
• Benchmark distributed systems using industry-standard methodologies
• Explore emerging model trends, scaling strategies, and future paths

Who this book is for

This book is designed for ML engineers, AI researchers, and DevOps professionals who need to train or serve large AI models at scale. Platform engineers, HPC cluster administrators, and cloud architects will also find it valuable for advancing their skill sets. A basic understanding of Python and PyTorch is required to get started. Prior experience with distributed systems, cluster schedulers, or container orchestration is helpful but not necessary - the book introduces these concepts from the ground up, beginning with resource estimation, data preparation, and hardware fundamentals.

Develop end-to-end ethical hacking skills with hands-on labs covering reconnaissance, exploitation, and reporting, designed to mirror real security assessments and build job-ready cybersecurity skills

Key Features

• Practice ethical hacking through hands-on labs across the full attack lifecycle
• Test modern environments, including wireless and enterprise networks
• Create clear, professional reports from real-world security findings
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Build and manage a safe ethical hacking lab
• Perform reconnaissance, scanning, and enumeration techniques
• Identify, assess, and prioritize security vulnerabilities
• Exploit systems and networks using ethical methods
• Escalate privileges and maintain access during assessments
• Use industry-standard ethical hacking tools and frameworks
• Create clear technical and executive security reports

Who this book is for

This book is for aspiring ethical hackers, penetration testers, and cybersecurity professionals who want hands-on experience with ethical hacking techniques, reconnaissance, and security assessment methodologies. Basic knowledge of networking and operating systems is recommended.

Master Odoo's latest development practices to build powerful, scalable ERP applications with modern integrations, OWL, and frontend tools. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Develop advanced Odoo apps using OWL, integrations, and modular design
• Configure, scale, and maintain secure, multi-user ERP systems
• Test, integrate, and optimize Odoo apps with APIs, profiling, and caching tools

Book Description

What you will learn

• Set up a reliable and scalable Odoo development environment
• Build reusable models, views, and OWL components
• Use RPC APIs and controllers to integrate external platforms
• Extend the Odoo POS with new UI features and logic
• Optimize app performance through profiling and caching
• Secure apps with roles, permissions, and visibility rules
• Manage configuration and deployment using Odoo.sh workflows
• Debug backend and frontend flows with real-time tooling

Who this book is for

This book is for Python and JavaScript developers building or extending ERP applications with Odoo. It’s ideal for newcomers seeking practical guidance and experienced developers adapting to recent platform changes. A working knowledge of Python and basic web technologies is recommended.

Build reliable Build reliable AI evaluation frameworks that measure quality, safety, grounding, and production readiness across modern LLM and SLM applications Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Design evaluation frameworks for LLMs, SLMs, multimodal, reasoning, and agentic AI systems
• Measure quality, safety, grounding, robustness, and production readiness with practical metrics
• Apply unified evaluation methods to text, multimodal, and agentic AI systems

Book Description

What you will learn

• Design repeatable evaluation pipelines for LLM systems
• Assess inference quality, latency, and operational cost
• Evaluate multimodal, agentic, and reasoning AI systems
• Build regression gates and deployment evaluation workflows
• Detect hallucinations and grounding failures in VLMs
• Assess routing stability in mixture-of-experts models
• Evaluate Text2SQL, OCR, and retrieval-based systems
• Translate evaluation signals into production decisions

Who this book is for

ML engineers, GenAI engineers, AI architects, data scientists, platform engineers, and engineering managers responsible for deploying LLM-powered systems in production will benefit from this book. Applied AI researchers and technical decision-makers looking to measure reliability, safety, and operational readiness across modern AI systems will also find it valuable. Readers should have a working understanding of machine learning, Python, and modern LLM concepts.

Move beyond AI hype and learn how modern UX designers use ChatGPT, Claude, Figma, Lovable, Replit, and no-code tools to turn insight into tested experiences while keeping judgment, ethics, and users at the center

Key Features

• Discover how AI shifts UX from static deliverables to active product orchestration
• Apply prompts for briefs, personas, journeys, requirements, and usability planning
• Prototype earlier with no-code AI tools and reduce handoff risk before build

Book Description

What you will learn

• Judge AI outputs as hypotheses, not final answers
• Turn raw research into clearer design briefs
• Draft personas, JTBD, flows, and requirements
• Prototype earlier with Lovable, Replit, and Figma
• Validate ideas with users before engineering begins
• Spot AI bias, hallucinations, and false confidence
• Apply responsible AI principles to UX decisions
• Position your UX role for strategy and ownership

Who this book is for

This book is for practicing UX designers, product designers, senior designers, and design leaders who understand UX fundamentals and want to adapt their process for a generative AI world. It is ideal for professionals in digital products, SaaS, enterprise software, platforms, and consumer apps who want faster discovery, sharper synthesis, earlier prototyping, and stronger product influence. No AI expertise, coding background, or machine learning knowledge is required; the focus is on practical workflows, judgment, validation, and responsible design.

Elevate your Godot 4 development skills with SOLID principles, game architecture patterns, and scalable workflows. Learn to create maintainable systems, organize projects, and build release-ready games that grow beyond prototypes Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Apply SOLID principles and proven design patterns in Godot 4
• Build scalable game architecture using components, events, and services
• Refactor prototypes into maintainable, production-ready projects

Book Description

What you will learn

• Apply SOLID principles in Godot's node and script system
• Decide when to use scenes, scripts, or Resources for logic
• Use signals, State, and Strategy patterns for gameplay logic
• Build modular, component-based systems over inheritance
• Automate instancing with Factory and Builder patterns
• Decouple input, audio, and saves with Command and Service patterns
• Separate logic from data with Resources and data-driven design
• Structure gameplay systems using scalable architectural patterns

Who this book is for

This book is ideal for intermediate and advanced Godot developers who already know how to make simple games but want to adopt professional practices for larger, more complex projects. It is especially useful for indie developers, technical leads, and small teams who need scalable workflows, as well as educators and advanced students who want to learn how to apply SOLID principles and design patterns in Godot. If you’ve ever struggled with messy prototypes, monolithic scripts, or unscalable Scene Trees, this book will show you how to organize, refactor, and future-proof your projects.

STOP building fragile AI wrappers; START designing resilient AI systems.

Key Features

• From LLM fundamentals to real-world practicalities
• Patterns and principles for architecting LLM-based systems
• Learn from in-depth case studies
• Decouple from premium models using tiered fallback
• Event-driven architectures for decoupling high-latency agentic workflows
• Cost management approaches
• Security strategies for LLM systems
• Glossary of LLM and AI systems design terminology included

Book Description

What you will learn

• Architect a complete, production-grade AI-powered system from scratch
• Design and mitigate the unique challenges of LLM APIs, like high latency and cost
• Implement key software engineering patterns like circuit breakers and rate limiting for AI systems
• Choose the right databases and data models for AI applications, including vector search engines
• Build a scalable and resilient system that can handle high load and ensure user privacy

Who this book is for

This book will be an invaluable learning resource for engineers, architects and leads working with LLMs or looking to integrate LLMs into their existing systems.

A practical guide to applying LLMs across the software development and delivery lifecycle, improve development, testing, operations, and project efficiency across modern software organizations.

Key Features

• Apply LLMs to modern DevOps workflows across development and operations with practical enterprise examples
• Build architectural fluency in GPT, fine-tuning, RAG, and agent-based systems
• Strengthen software delivery pipelines with AI-informed automation and operational intelligence

Book Description

What you will learn

• Apply RAG and multi-agent patterns to enterprise software delivery and platform engineering scenarios
• Use LLMs to support operations tasks such as log analysis, ticket handling, incident response, and root cause analysis
• Explore how LLMs can improve software testing, static analysis, vulnerability repair, and test automation workflows
• Apply code LLMs to development workflows, including code generation, completion, review support, and project-level coding tasks
• Use LLMs to support project management, delivery coordination, risk analysis, and cybersecurity workflows
• Evaluate the practical value, risks, and constraints of introducing LLMs into DevOps, SRE, and platform engineering environments

Who this book is for

This book is for software engineers, DevOps and SRE professionals, QA and security teams, and technical managers who want to apply and operationalize LLMs across the software delivery lifecycle.

A CSS-first guide to replace unnecessary JavaScript with modern HTML and CSS. Learn to build modals, dark mode, smooth scrolling, form validation, popovers, and more with modern HTML and CSS.

Key Features

• Build common UI patterns with modern HTML and CSS instead of unnecessary JavaScript
• Learn solid production techniques and latest platform features you can adopt with progressive enhancement
• Explore real interface problems about accessibility, performance, and maintainability with real-world examples

Book Description

What you will learn

• Apply the Rule of Least Power in real UI decisions
• Choose modern HTML and CSS over JS where it's sufficient
• Build lightweight, accessible interfaces in practice
• Use modern CSS features like :has(), view transitions, motion paths, masks, popovers, and anchor positioning
• Create UI patterns like dark mode, dialogs, accordions, smooth scrolling, custom selects, and carousels
• Implement progressive enhancement in real projects
• Improve performance by reducing unnecessary JS

Who this book is for

This book is for people who build interfaces and want to rely less on JavaScript when they do not have to. It is aimed at front-end developers, designers who code, and curious CSS people who already know the basics and want to see how far modern HTML and CSS can really go. If you have ever added JavaScript out of habit for something the browser can already handle, this book will give you a different way to think about that.

Learn design principles, best practices, and trade-offs involved in implementation approaches, to improve your Ruby programming skills

Key Features

• Understand the design principles behind polished Ruby code, and trade-offs involved in different implementation approaches
• See how to use plugin systems to build libraries for maximum flexibility and performance
• Learn about the advantages and disadvantages of different approaches to concurrency

Book Description

What you will learn

• Use Ruby's core classes and design custom classes effectively
• Explore the principles behind variable usage and method argument choice
• Design extensible libraries and plugin systems in Ruby
• Use metaprogramming and DSLs to avoid code redundancy
• Implement different approaches to testing and understand their trade-offs
• Discover design patterns, refactoring, and optimization with Ruby
• Learn about the trade-offs inherent in different concurrency approaches
• Determine whether using static types in Ruby makes sense for you

Who this book is for

If you already know how to program in Ruby and want to learn more about the principles and best practices behind writing maintainable, scalable, optimized, and well-structured Ruby code, then this book is for you. Intermediate to advanced-level working knowledge of the Ruby programming language is expected to get the most out of this book.

Transform financial market data into algorithmic trading strategies and deploy them into a live trading environment with recipes leveraging modern Python libraries like pandas, Polars, and DuckDB

Key Features

• Backtest Python trading strategies with VectorBT and Zipline Reloaded using walk-forward analysis
• Measure risk, performance, and alpha quality with Alphalens Reloaded and PyFolio
• Automate strategy execution with the Interactive Brokers API for live trading

Book Description

What you will learn

• Acquire equities, futures, and options data using OpenBB and FMP
• Process and analyze time series data efficiently with pandas and Polars
• Store and query massive datasets with ArcticDB, DuckDB, and Parquet
• Visualize trading data using Matplotlib, Seaborn, and Plotly Dash
• Engineer alpha factors using PCA, regression, and Fama-French models
• Backtest strategies with VectorBT and Zipline Reloaded frameworks
• Evaluate performance and risk using Alphalens Reloaded and PyFolio
• Deploy and automate live trades using the Interactive Brokers API

Who this book is for

This book is for traders, investors, and Python enthusiasts who need practical code to acquire, analyze, and automate algorithmic trading strategies using modern, high-performance Python tools. Readers should have some exposure to investing or trading, a basic familiarity with Python syntax, and a basic knowledge of libraries such as Pandas and NumPy. This book is ideal for discretionary traders who want to adopt a systematic approach and apply professional techniques, such as factor modeling, backtesting, and execution automation, to trading workflows using Python.

Advance your gameplay programming skills by mastering Unreal Engine 5 C++ scripting for efficient, scalable, and high-performance systems Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Write efficient C++ code for scalable gameplay systems in Unreal Engine 5
• Optimize performance using advanced engine systems and architecture techniques
• Apply concepts through a real-world project to build production-ready gameplay

Book Description

What you will learn

• Write clean, optimized C++ code for Unreal Engine 5
• Work with Unreal Engine architecture for scalable systems
• Use pointers efficiently to improve runtime performance
• Apply event-driven programming with C++ and Blueprints
• Use Unreal Engine macros to extend gameplay systems
• Build Blueprint-accessible, optimized C++ components
• Implement data-driven gameplay systems in real projects

Who this book is for

This book is for experienced Unreal Engine developers and gameplay programmers looking to deepen their C++ expertise and build scalable, high-performance gameplay systems. A solid understanding of Unreal Engine and C++ is required.

Build Java web apps swiftly with this fourth edition of the best-selling Spring Boot guide for beginners, updated and enhanced with defining features of Spring Boot 4

Key Features

• Learn Spring Boot in a cohesive manner with this practical guide
• Discover popular Java developer tools such as GraalVM native images, serving up JSON, and more
• Build secure, observable, and scalable web applications from zero to production

Book Description

What you will learn

• Create powerful, production-grade web applications with minimal fuss
• Support multiple environments with one artifact, and add production-grade support
• Enhance the security model of your apps
• Build intelligent applications with Spring AI
• Write everything from lightweight unit tests to fully running embedded web container integration tests
• Take advantage of the enhanced observability capabilities of Spring Boot 4
• Get a glimpse of reactive programming and decide if it's the right approach for you

Who this book is for

This book is for both novices and experienced Spring developers looking to learn how to build applications without wasting time on infrastructure and other tedious details. Working knowledge of the Java programming language is assumed.

Solve machine learning engineering challenges for GenAI-powered systems and AI agents on AWS, and automate LLMOps pipelines using Amazon Bedrock, SageMaker AI, Bedrock AgentCore, and Strands Agents. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Build and scale AI agents using Amazon Bedrock AgentCore and Strands Agents
• Fine-tune, evaluate, and deploy ML models using Amazon SageMaker AI
• Automate LLMOps workflows with SageMaker Pipelines

Book Description

What you will learn

• Build and deploy AI agents using Bedrock AgentCore and Strands Agents
• Dive deep into ML engineering with Amazon SageMaker AI
• Evaluate model performance using LLM-as-a-judge
• Explore advanced model fine-tuning and deployment using SageMaker AI
• Build RAG-powered systems using Bedrock Knowledge Bases and S3 Vectors
• Modernize analytics with a managed transactional data lake
• Automate LLMOps pipelines using SageMaker Pipelines and AWS Lambda
• Explore best practices for building GenAI systems and AI agents on AWS

Who this book is for

This book is intended for AI engineers, data scientists, machine learning engineers, and technology leaders who want to deepen their understanding of machine learning engineering, generative AI, large language models, retrieval-augmented generation, AI agents, and MLOps on AWS. A foundational understanding of artificial intelligence, machine learning, generative AI, and cloud engineering concepts is recommended.

Apply generative AI, AI agents, LLMs, and proven frameworks to build trustworthy, scalable FinTech products across payments, lending, digital banking, insurance, and wealth management

Key Features

• Build scalable AI-powered financial products with real-world case studies, templates, and frameworks
• Integrate generative AI and LLMs into financial products while ensuring trust and compliance
• Learn from real-world successes, failures, and best practices across the financial services ecosystem
• Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Book Description

What you will learn

• Design, launch, and scale AI-powered financial products
• Integrate generative AI and LLMs into FinTech products
• Navigate AI governance, regulation, and compliance
• Balance customer-centric design with monetization models
• Learn from FinTech success and failure stories
• Apply AI-first product frameworks to scale products
• Discover how AI agents will reshape financial services

Who this book is for

This book is for product managers, engineers, innovation leads, entrepreneurs, and professionals across financial services and technology who aim to become AI-driven leaders in product innovation. Written for professionals involved in building digital products, it shows how generative AI can be used to improve customer experiences and unlock new growth opportunities across the financial ecosystem. Working experience with software products and digital platforms is helpful, but no deep expertise in AI or finance is required, key ideas are explained with clear context.

Build practical automation skills through an expanded third edition featuring new chapters on AI models, MCP, and intelligent agents, guiding you from core Python workflows to modern agentic automation.

Key Features

• Apply proven Python automation recipes to solve real-world tasks
• Integrate AI models and build intelligent agents for business workflows
• Extend automation across systems using MCP and modern integrations

Book Description

What you will learn

• Automate file, system, and network tasks using Python
• Build robust scripts for web scraping and API integration
• Design scalable automation workflows for real use cases
• Integrate AI models into automation pipelines
• Implement MCP for system-level automation integration
• Develop intelligent agents for business automation
• Apply testing and debugging techniques for automation
• Create real-world AI-driven automation solutions

Who this book is for

Python developers, automation engineers, DevOps professionals, and system administrators who want to streamline workflows and integrate modern AI capabilities into automation. A basic understanding of Python programming is recommended.

Built on Fortune 500 experience, this guide delivers hands-on methods to secure generative AI with extensive coverage of RAG, agents, prompt injection, data pipelines, Zero Trust, and sustainable programs. Includes the AI Under Attack Practitioner Toolkit, featuring chapter-specific Field Artifacts for real-world AI security practice.

Key Features

• Defend LLMs, RAG, and autonomous agents against prompt injection, jailbreaks, and tool abuse
• Apply Zero Trust architecture to AI agents with tool access, memory, and goal-directed reasoning
• Run AI governance and red teaming programs aligned to NIST AI RMF, ISO 42001, and OWASP for LLMs
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Identify AI-specific risks and clearly communicate them to business teams
• Defend models, data, RAG, and agents from threats like poisoning, prompt injection, jailbreaking, and data exfiltration
• Design resilient cloud/MLOps with Zero Trust, supply chain security, and isolation
• Build secure APIs, apps, and agents with strong auth, validation, and safe tool use
• Apply AI-focused GRC, alignment checks, bias mitigation, monitoring, and incident response
• Translate complex concepts into actionable steps, using threat intel and collaboration for lasting security

Who this book is for

This book is for mid- to senior-level cybersecurity professionals, security architects, and tech leaders managing risks in generative AI deployments. It’s also valuable for early-career practitioners, AI/ML engineers, red teamers, DevSecOps, governance specialists, compliance officers, and product stakeholders with foundational cybersecurity knowledge. Readers should have basic familiarity with security concepts, some exposure to cloud platforms (AWS, Azure, or GCP), and a fundamental grasp of AI/ML, though no prior AI security expertise is required.

Start using AI with confidence, master prompting, generate content, automate tasks, and apply AI safely in daily life and work, even with zero technical background

Key Features

• Build effective prompts using clarity, context, and structured frameworks
• Apply AI for writing, visuals, planning, and everyday productivity tasks
• Use AI responsibly with guidance on privacy, bias, and professional boundaries

Book Description

What you will learn

• Write clear prompts using structured frameworks
• Refine AI outputs through iteration techniques
• Generate text and images with practical methods
• Automate daily tasks using AI tools effectively
• Apply AI for planning, research, and idea generation
• Identify errors, bias, and unreliable AI outputs
• Protect data and use AI responsibly in workflows
• Decide when AI is appropriate vs human input

Who this book is for

This book is for developers and technical professionals who want to understand how AI tools can improve productivity without requiring deep AI expertise. It is also suited for beginners, career switchers, and knowledge workers looking to integrate AI into everyday workflows. Readers will benefit if they want practical guidance on prompting, using AI tools effectively, and applying them safely in both personal and professional contexts. No prior experience with AI or programming is required.

L’UE4 évolue en intégrant pleinement les enjeux contemporains de l’information financière, de l’audit et du reporting extra-financier. Le nouveau référentiel met l’accent sur la capacité à analyser, interpréter et restituer des traitements comptables ou des démarches d’audit, en situation réelle. Il ne s’agit plus seulement de maîtriser des schémas comptables, mais de justifier des choix professionnels et de les traduire dans un contexte de conseil ou de certification.

L'ouvrage permettra aux futurs candidats d'appréhender ces changements :

• Maîtriser les normes IFRS essentielles.
• Privilégier l’analyse à la technique : s’entraîner à expliquer la logique d’un retraitement ou la pertinence d’un choix comptable.
• Intégrer l’audit de durabilité : se familiariser avec les référentiels extra-financiers.
• S’entraîner aux cas pratiques contextualisés.
• Travailler la posture professionnelle : rédiger des réponses structurées et argumentées comme si elles étaient adressées à un client ou dans un rapport d’audit.

Les atouts de cette nouvelle édition :

• Un cours complet, accessible et conforme au programme.
• Inclut des cas pratiques contextualisés, fondés sur l’analyse et la prise de décision.
• Conforme au PCG 2025 pour une préparation optimale.

Ce livre comprend des rappels de grammaire anglaise, des méthodes de compréhension de texte ainsi que des listes de vocabulaire organisées par thème, l’ensemble étant essentiel pour l’IELTS® General Training (International English Language Testing System).

l’IELTS® General Training (International English Language Testing System) évalue la capacité à utiliser l’anglais dans des contextes quotidiens, professionnels et sociaux. Il mesure l’aisance à communiquer dans des situations pratiques de la vie de tous les jours et en milieu de travail.

De nombreux exercices ainsi qu’un test blanc sont proposés afin que le lecteur se familiarise avec la structure de l’épreuve et évalue son niveau.

L’ouvrage est également accompagné d’enregistrements audio permettant de travailler les parties « Listening » et « Speaking » dans des conditions proches de l’examen.

Comment fut inventé l’ordinateur ?

Comment notre monde s’est-il numérisé ?

Qui sont les héros de cette aventure ?

Comment s’inscrit-elle dans l’évolution de l’humanité ?

Connaître l’histoire de l’informatique relève désormais de la culture générale. De la machine d’Anticythère au cyberespionnage et aux Big Data, des cartes perforées à l’Internet, des tabulatrices aux tablettes, des algorithmes à l’IA, ce livre vous propose un voyage dans le temps, une archéologie de notre environnement numérique.

Laissez-vous emporter dans cette lecture passionnante, où chacun retrouvera ou découvrira ces merveilleuses créations de l’esprit humain.

Proposant une approche vivante et ludique du français langue étrangère, ce cahier a spécialement été conçu pour les adolescents et adultes débutants qui souhaitent progresser à leur rythme en s’amusant.

Adapté pour un travail en autonomie ou en complément d’un cours, il comprend 18 thématiques organisées en courtes séquences divisées en trois étapes pour :

•  découvrir le vocabulaire de la vie quotidienne grâce à des petits imagiers illustrés avec une « fiche vocabulaire »

•  puis réviser (ou apprendre) la grammaire française avec une « fiche outil » 

•  et enfin, pratiquer avec des jeux et des activités variés (corrigés) [mots mêlés, mots croisés, différences, mots secrets, jeux de mémoire, dictées express, labyrinthes, dictées à trous, dessiner, mener l’enquête, jeux des contraires, puzzles de mots…]

Les plus :

•  10 quiz de culture générale en fin d’ouvrage

•  des fichiers audio MP3 à télécharger gratuitement sur le site des éditions Ellipses

•  Le vocabulaire étudié correspond aux thématiques lexicales du niveau A1 du CECRL.

N’hésitez plus, améliorez vos connaissances et vos compétences en français Langue étrangère en jouant, tout simplement !

Proposant une approche vivante et ludique du français langue étrangère, ce cahier a spécialement été conçu pour les adolescents et adultes faux débutants qui souhaitent progresser à leur rythme en s’amusant.

Adapté pour un travail en autonomie ou en complément d’un cours, il comprend 18 thématiques organisées en courtes séquences divisées en trois étapes pour :

•  découvrir le vocabulaire de la vie quotidienne grâce à des petits imagiers illustrés avec une « fiche vocabulaire »

•  puis réviser (ou apprendre) la grammaire française avec une « fiche outil » 

•  et enfin, pratiquer avec des jeux et des activités variés (corrigés) [mots mêlés, mots croisés, différences, mots secrets, jeux de mémoire, dictées express, labyrinthes, dictées à trous, dessiner, mener l’enquête, jeux des contraires, puzzles de mots…]

Les plus :

•  10 quiz de culture générale en fin d’ouvrage

•  des fichiers audio MP3 à télécharger gratuitement sur le site des éditions Ellipses

•  Le vocabulaire étudié correspond aux thématiques lexicales du niveau A2 du CECRL.

N’hésitez plus, améliorez vos connaissances et vos compétences en français Langue étrangère en jouant, tout simplement !

ACCESSIBILITÉ, PERFORMANCE, SEO, SÉCURITÉ…TOUTES LES BONNES PRATIQUES DU NUMÉRIQUE

Depuis plus de 10 ans, Qualité et conformité des services numériques est devenu le guide pratique de référence des professionnels du Web. Il présente l’assurance qualité numérique ainsi que son rôle dans l’amélioration de l’expérience utilisateur (UX) et dans la conduite des programmes de mise en conformité (accessibilité, sécurité, données personnelles, écoconception…). 245 règles sont détaillées dans des fiches structurées et illustrées qui facilitent leur compréhension et leur application. Un glossaire multidisciplinaire vient compléter les contenus. L’ensemble de ces ressources font de cet ouvrage un outil indispensable au quotidien.

UNE 4E ÉDITION REVUE ET AUGMENTÉE

Cette nouvelle édition entièrement refondue, présente trois nouveaux chapitres sur la conformité, la qualité logicielle et l’intelligence artificielle. La structure a été repensée pour monter en compétences et améliorer les sites web et services numériques.

À QUI S’ADRESSE CET OUVRAGE ?

• Chefs de projets numérique, product owners et managers d’équipes pluridisciplinaires
• Développeurs, graphistes, ergonomes et designers UX
• Contributeurs et rédacteurs web soucieux de la diffusion de leurs contenus
• Étudiants, demandeurs d’emploi et personnes en reconversion
• Stagiaires et futurs certifiés Opquast

DEUX ANCIENS AMIS SONT SUR UN BATEAU… LEQUEL DES DEUX SE JETTERA À L’EAU ?

Théodore et Célestin étaient unis comme les doigts de la main. Bien plus que des amis, ils étaient comme des frères. Et pourtant, ils ne se sont pas vus ni adressé la parole depuis plus de cinquante ans. Ironiquement, c’est le décès de Viviane, la femme qu’ils ont tous les deux aimée, qui les force à se revoir. Dans un document stipulant ses dernières volontés, elle leur confie une mission qui va les contraindre à cohabiter durant plusieurs semaines… à bord d’une péniche. Entre non-dits et prises de bec, ces anciens amis parviendront-ils à s’expliquer et à effacer leurs vieilles rancœurs pour affronter ensemble ce qui les attend à la fin du voyage ?

Préparez-vous au DAEU avec cet ouvrage tout-en-un !

Le DAEU, qui donne les mêmes droits que le baccalauréat général, est destiné aux personnes souhaitant reprendre leurs études.  Ce diplôme permet l'accès à l'enseignement supérieur, notamment à l'université,  et s'inscrit volontiers dans  une perspective de retour à l'emploi ou de promotion.
Cet ouvrage  prépare aux épreuves obligatoires  de l'examen du DAEU, qui se décline en deux options : littéraire (option A) ou scientifique (option B). Comportant chacune quatre matières qui représentent au minimum 225 heures d'enseignement en université, vous recevrez un enseignement complet et rigoureux.
Ce livre vous propose :

• Une méthodologie pas à pas.
• Des fiches de cours synthétiques.
• Des exercices d'entraînement corrigés.
• Un sujet d'examen blanc complet et son corrigé  pour s'entraîner à l'examen du DAEU.
• Un sujet corrigé de mathématiques et un sujet corrigé d'anglais supplémentaires sur dunod.com

• Identifier les principes clés de l’accueil des élèves allophones
• Connaître les enjeux de l’inclusion
• Comment valoriser les langues et cultures
• des élèves ?
• Maîtriser les enjeux d’apprentissage du français
• Accompagner au mieux les élèves
• Mettre en oeuvre une évaluation
• et une orientation réussies
• Comment inclure les parents allophones ?

Découvrez 27 outils indispensables pour enseigner le FLE-FLS dans le 1^er et 2^nd degrés. Chaque outil est présenté de façon visuelle sur 2 ou 4 pages : schéma de synthèse, résumé de l’outil, objectifs et contexte d’utilisation, méthodologie à suivre, avantages et précautions à prendre. Des exemples d’applications en classe renforcent la pédagogie concrète du livre.

Un collège sans stress pour les élèves... et les parents !

Le collège est une période complexe pour les élèves, déroutante et propice aux grands changements, aussi bien dans leur environnement qu’à l’intérieur d’eux-mêmes. Et si elle touche de plein fouet les collégiens qui le vivent directement, elle peut aussi être difficile pour vous, leurs parents !

Pour vous accompagner, une prof vous livre toutes ses meilleures astuces, tant dans le domaine scolaire que personnel : des méthodes efficaces pour comprendre tous les énoncés, des conseils pour analyser des bulletins de notes ou pour travailler avec l’intelligence artificielle, des solutions pour gérer le premier téléphone portable de votre enfant ou encore prévenir le harcèlement scolaire…

Grâce à ce kit bourré d’informations et de conseils précieux, vous comprendrez beaucoup mieux ce que vit votre enfant au quotidien et l’aiderez à être bien à l’école, avec lui-même et avec les autres !

Souvent évincé face aux considérations d’urgence, le temps long n’apparaît pas toujours comme l’une des priorités du droit public, alors même que les enjeux pour l’avenir sont considérables.

Le présent ouvrage propose une réflexion collective sur l’existence d’un régime juridique propre au temps long.

L’analyse met successivement en lumière le développement d’institutions et d’instruments spécifiquement tournés vers la prise en considération de cette temporalité, dont la consécration vise à pallier les limites pesant sur la capacité des institutions et instruments traditionnels du droit public à s’en saisir. Elle rend ainsi compte de l’émergence d’un régime juridique propre au temps long, lequel n’en est cependant qu’à ses prémices. 

Cet ouvrage collectif est dirigé par Fannie Duverger et Lucie Havard.

À PROPOS DE L'AUTRICE

Lucie Havard est doctorante en droit public et ATER à l’Université Paris 1 Panthéon-Sorbonne, spécialisée en droit constitutionnel et droit parlementaire.

Build smarter daily workflows with ChatGPT, Claude, and Perplexity to boost productivity

Key Features

• Learn practical AI workflows for communication, research, reporting, coordination, and data analysis
• Master ready-to-use prompts, templates, and AI workflow patterns with tools like ChatGPT, Claude, and Perplexity
• Build reliable daily AI productivity routines that speed up repetitive work

Book Description

What you will learn

• Automate email triage and response drafting using AI-assisted workflows
• Generate meeting summaries, action items, and follow-ups in minutes
• Conduct research and create structured briefs faster with AI tools
• Build reports, proposals, and business documents using reusable prompt chains
• Extract tasks and status updates automatically from conversations and meeting notes
• Analyze spreadsheets and messy data without advanced Excel skills
• Create professional content and communications faster while maintaining your personal voice

Who this book is for

This book is for professionals who spend a large part of their day handling emails, meetings, reports, research, spreadsheets, and coordination work. It’s designed for readers who have experimented with AI tools but want practical ways to turn them into reliable everyday productivity systems. No technical background is required. The book focuses on simple, repeatable workflows that can be applied immediately in a real work environment.

Conçu pour appréhender toutes les matières scientifiques de l’année, ces formulaires sont les compagnons idéaux pour la préparation des colles, la résolution des exercices et des problèmes mais surtout pour accompagner les révisions de 1re année.

Une vision claire des savoirs, une mobilisation rapide des connaissances, une approche croisée des notions à connaître sont les atouts indispensables à la réussite en prépas. Ce formulaire est la réponse à ces exigences. Il consiste en :

• un résumé clair et concis du cours : définitions, lois, théorèmes, propriétés et schémas
• une mise en valeur des formules à connaître
• un classement thématique des notions indispensables
• un index très précis en fin d’ouvrage qui permet de retrouver au plus vite la notion cherchée.

Build production grade AI agent platforms on OpenClaw with security, state management, and resilience patterns that are held under real load DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Apply a reusable pattern language, from Hub and Spoke to Heartbeat Loop across any agent stack
• Embed zero trust identity, PBAC, and fault injection into your architecture from the first chapter
• Deploy OpenClaw with observable, self correcting infrastructure ready for federated and edge runtimes

Book Description

What you will learn

• Design a Gateway control plane that scales horizontally without coupling
• Route requests through a six-phase pipeline without creating latency bottlenecks
• Implement zero-trust identity and Token Exchange as structural, not add-on, concerns
• Manage distributed session state with safe compaction and CRDT-friendly design
• Instrument agent reasoning with semantic observability beyond uptime monitoring
• Inject faults deliberately to verify that resilience patterns hold under load
• Extend OpenClaw toward federated gateways and decentralized identity meshes

Who this book is for

AI engineers, platform architects, and senior software engineers building autonomous agent systems in production. Readers should be comfortable with Python, distributed systems concepts, and REST or WebSocket APIs. Familiarity with OpenClaw's core architecture and components is recommended, as the book focuses on production implementation patterns rather than introductory concepts.

Cloud Native to AI Native explores how organizations transition to AI-first systems using proven patterns, scalable architectures, and strategic frameworks to build, deploy, and optimize next-generation AI-powered platforms

Key Features

• Proven frameworks to transition from cloud-native to AI-native architectures
• Practical pattern-based approach to designing scalable AI platforms
• Strategic guidance for driving enterprise AI transformation and innovation

Book Description

What you will learn

• Understand the shift from cloud-native to AI-native architectures
• Identify where your organization sits on the technology evolution curve
• Apply transformation patterns to design scalable AI platforms
• Navigate operational modes like scaling, optimizing, and innovating
• Build AI-ready systems integrated with existing cloud infrastructure
• Anticipate future technology trends and adoption strategies
• Avoid common anti-patterns in enterprise AI transformation
• Drive measurable business value from AI initiatives

Who this book is for

This book is designed for technology leaders, solution architects, cloud engineers, and enterprise decision-makers looking to navigate the transition from cloud-native to AI-native systems. It is ideal for professionals responsible for digital transformation, platform engineering, and AI adoption strategies. Consultants, CTOs, and innovation leaders will benefit from its structured frameworks, enabling them to design scalable AI platforms, align business goals with emerging technologies, and drive measurable outcomes in rapidly evolving markets.

Conçu pour appréhender toutes les matières scientifiques de l’année, ces formulaires sont les compagnons idéaux pour la préparation des colles, la résolution des exercices et des problèmes mais surtout pour accompagner les révisions de 1re année.

Une vision claire des savoirs, une mobilisation rapide des connaissances, une approche croisée des notions à connaître sont les atouts indispensables à la réussite en prépas. Ce formulaire est la réponse à ces exigences. Il consiste en :

• un résumé clair et concis du cours : définitions, lois, théorèmes, propriétés et schémas
• une mise en valeur des formules à connaître
• un classement thématique des notions indispensables
• un index très précis en fin d’ouvrage qui permet de retrouver au plus vite la notion cherchée.

Cet ouvrage, composé de dix-huit fiches, organisées en quatre parties et complétées d’exercices corrigés, a pour ambition de donner une vision d’ensemble de l’analyse et du management du travail.

L’essentiel de l’analyse et du management du travail examine successivement les fondements théoriques du management du travail, ses ergodisciplines et ses courants, les outils et méthodes utilisables ainsi que les problèmes abordés à partir du management du travail, en donnant une présentation claire et accessible.

L'ouvrage s’adresse aux étudiants en Licence et en Master de Gestion, en écoles de commerce et en BTS et BUT.

Coordination :

Christine Noël-Lemaître est maître de conférences HDR à l’Université d’Aix-Marseille.

Avec la participation de Claire Ingrand (Université de Nantes), Didier Chabanet (IDRAC Business School), Bernard Guery (IPC Paris) et Marco Dal Pozzolo (ATER Paris Cité).

Explore the evolving landscape of full-stack development with the latest web technologies to build production-ready React applications and deploy them using Docker on AWS.

Key Features

• New Update: Chapters on monitoring, observability, and AI-assisted development
• Master the architecture of React 19 and modern single-page applications (SPAs)
• Containerize with Docker and Podman, automate workflows with CI/CD and deploy to the cloud

Book Description

What you will learn

• Build a full-stack application using React 19, TypeScript, and Node.js
• Apply TypeScript's key features to improve code quality and maintainability
• Build React apps with functional components, Hooks and Redux Toolkit
• Test frontend and backend code with Vitest and React Testing Library
• Set up an Express API with PostgreSQL and Prisma from scratch
• Secure your API with JWT authentication and authorization
• Containerize applications with Docker and Podman, then deploy to the cloud with CI/CD
• Add monitoring and observability, and explore AI-assisted development

Who this book is for

This book is designed for experienced developers who are new to full-stack web development. It is ideal for those with production programming experience in any language looking to transition into building full-stack applications using modern web technologies. A good understanding of JavaScript is required.

Pass the ISC2 CC Certified in Cybersecurity exam with clear lessons, domain-focused practice, and full mock tests aligned to the official exam outline.

Key Features

• Study each CC objective with beginner-first explanations
• Check your understanding of key concepts with topic quizzes that include scenario-based MCQs
• Prepare for the CC exam with 2 mock exams of 125 questions each, flashcards, and exam tips
• Use blueprint mapping, topic-wise MCQs, and rapid checklists for revision

Book Description

What you will learn

• How to apply the CIA triad, authentication, and privacy concepts
• Basic risk assessment and choosing suitable cybersecurity methods
• How to classify administrative, technical, and physical controls
• Business continuity, disaster recovery, and incident response
• The implementation of least privilege, RBAC, and the segregation of duties
• How to recognize common network attacks and apply core safeguards
• Encryption, data handling, and logging to support operations

Who this book is for

Students and early-career IT professionals who want a structured, beginner-friendly route to the ISC2 CC exam and entry-level cybersecurity roles. Basic computer literacy helps, but no prior security experience is required.

Build and deploy enterprise-grade multimodal AI systems using generative models for text, image, audio, and video.

Key Features

• Design end-to-end multimodal AI systems for enterprise workloads
• Build scalable pipelines using Gemini, Veo, Imagen, Airflow, and Kubeflow
• Implement governance, safety, and compliance for AI-generated content
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Design full-stack multimodal AI architectures
• Generate text, image, audio, and video content
• Build automated AI-powered marketing workflows
• Compare and fine-tune leading multimodal models
• Deploy AI pipelines with Airflow and Kubeflow
• Implement AI safety, governance, and compliance
• Create real-time and 3D multimodal experiences
• Integrate AI with enterprise cloud platforms

Who this book is for

Software engineers, ML engineers, data scientists, technical product managers, and solution architects looking to build and deploy multimodal generative AI systems in production. Professionals familiar with Python, machine learning concepts, and cloud platforms such as AWS, Azure, or GCP will gain practical guidance for implementing scalable, enterprise-ready AI solutions.

« Chacun a droit au respect de sa vie privée. » Derrière ces quelques mots de l’article 9 du Code civil se joue l’un des enjeux juridiques les plus sensibles de notre époque.

Quand chaque clic laisse une trace, quand chaque donnée peut être conservée indéfiniment, connaître ses droits en matière de vie privée devient une nécessité.

Mais où commence réellement votre jardin secret ? Jusqu’où s’étend-il dans la sphère professionnelle ? Votre employeur peut-il consulter vos courriels, surveiller votre activité ou vous sanctionner pour des faits relevant de votre vie personnelle ?

À travers des explications accessibles et des exemples concrets, l’auteur éclaire les droits et obligations de chacun : salariés, employeurs, managers, représentants du personnel, professionnels RH. Vie personnelle, intimité, secret médical, données numériques, RGPD, droit à l’oubli…

Retrouvez 50 clés essentielles pour comprendre et maîtriser les règles juridiques qui encadrent la vie privée.

Conforme au nouveau référentiel de formation infirmier.

Un ouvrage innovant et pratique composé de cartes mentales reprenant les notions de l’anatomie physiologie. Dans le cadre de la formation au DEI, les sciences biologiques et médicales sont le premier contact des étudiants avec les Sciences Infirmières.
L’anatomie et la physiologie sont les connaissances fondamentales de notre coeur de métier !

Les auteurs, formateurs en IFSI, vous proposent une méthode de révision innovante avec des cartes mentales visuelles tout en couleur, facilitant l’organisation des connaissances, la mémorisation et faisant le lien avec la pratique infirmière.
Avec ces cartes mentales, complétées de jeux, rébus, devinettes et d’exercices de révision, vous disposez d’un outil complet pour aborder sereinement l’anatomie physiologie.

Build future ready iOS apps with Apple Foundation Models, MCP agents, Claude Code, and AI guided testing to ship code faster

Key Features

• Build SwiftUI apps powered by Apple Foundation Models and on-device intelligence
• Apply MCP workflows to create AI-driven feature agents in real projects
• Master Clean Architecture, TDD, and modernization with Claude Code support

Book Description

What you will learn

• Configure Xcode workflows for AI assisted Swift workflows
• Apply Swift concurrency patterns with AI guided reasoning
• Design SwiftUI features using Clean Architecture boundaries
• Learn to use Claude Code to drive TDD, refactors, and code reviews
• Modernize UIKit codebases with safe, incremental migrations
• Integrate Apple Foundation Models for private on device AI
• Build MCP servers in Swift to power feature focused agents
• Write RFCs and ADRs to govern AI adoption in iOS teams

Who this book is for

This book is for intermediate to senior Swift developers who build and maintain iOS apps and want to adopt AI tools without sacrificing quality. If you are responsible for architecture, testing strategy, or modernization roadmaps, you will learn patterns that scale from a single feature to a full team workflow. Familiarity with Swift and Xcode is recommended.

Learn advanced debugging techniques for embedded ARM systems and uncover how to trace, profile, and analyze firmware issues using professional tools in real-world scenarios Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Explore advanced debugging tools like hardware tracing and power profiling
• Learn techniques for analyzing bootloaders, RTOS, and memory issues
• Apply practical debugging workflows based on ARM Cortex-M firmware examples

Book Description

What you will learn

• Set up a debugging workflows for ARM-based embedded systems
• Trace firmware execution using hardware tools
• Analyze stack, memory, and registers
• Debug bootloaders and bare-metal applications confidently
• Identify issues with power, interrupts, or RTOS
• Detect memory leaks
• Apply crash analysis techniques in real-world scenarios
• Use live symbol tracking and code profiling tools

Who this book is for

This book is ideal for embedded developers and firmware engineers working with ARM-based systems who want to improve their debugging workflows. It is not just a beginner’s guide, but a practical resource for those already familiar with building and programming embedded firmware. Whether you’re debugging bootloaders, analyzing RTOS behavior, or using advanced hardware tools, this book will help you streamline your workflow and solve complex issues with confidence.

Build, design, and improve advanced business intelligence solutions using Tableau's newest updates, including Tableau Desktop, Prep Builder, Server, and AI-powered features to drive data-driven decision-making. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Build advanced Tableau dashboards and data visualizations for business intelligence
• Leverage Tableau AI features, automated insights, and LOD expressions to accelerate analysis
• Master Tableau Prep Builder, Server, and advanced analytics, including time series and geospatial

Book Description

What you will learn

• Learn Tableau components like calculated fields and LOD expressions
• Master Tableau Prep Builder with all its features and settings
• Explore and implement data analytics with Python and R
• Use Tableau Exchange for accelerators, extensions, and connectors
• Interact with Tableau Server to understand its functionalities
• Study advanced visualizations and dashboard creation techniques
• Master self-service, time series, and geo-spatial analytics
• Learn to implement data governance and AI-powered features

Who this book is for

This book is designed for business analysts, business intelligence professionals, and data analysts who want to master Tableau to solve a range of data science and business intelligence problems. Prior exposure to Tableau will help you get to grips with the features more quickly, but it’s not a prerequisite.

Efficiently architect proven backup strategies with Veeam 13's authoritative approach to hardened security, continuous data protection, and intelligent recovery capabilities

Key Features

• Explore the new Veeam ONE 13 features and enhancements for monitoring Veeam
• Gain in-depth knowledge of core architecture changes including Veeam Software Appliance
• Discover the new enhanced Universal CDP, including all the enhancements

Book Description

What you will learn

• Understand installing and upgrading Veeam to v13
• Master the ability to use High Availability (HA) for disaster recovery
• Explore the new JeOS and how it is used in the infrastructure
• Explore the redesigned and enhanced console, including Veeam Intelligence
• Work with HA and CDP to ensure data resilience
• Explore new Veeam ONE features and other best practices
• Learn best practices and other recovery options now included in Veeam Backup & Replication 13

Who this book is for

This book is for backup administrators or cloud disaster architects looking to gain expertise in all things Veeam. This book is also for IT professionals who have intermediate to advanced-level knowledge of virtualization, as well as backups and backup applications. Anyone who needs a reference guide for learning the advanced and latest features of Veeam 13 will find this book useful.