Learn Android app development from scratch with Kotlin and Jetpack Compose. Build 35+ hands-on apps, games, and database projects while mastering modern Android Studio workflows and Kotlin fundamentals.

Key Features

• Build Android apps with Kotlin, Jetpack Compose, Android Studio, and Agentic Programming
• Create hands-on projects including, UI, sound, graphics, databases and game
• Master modern Android development workflows and Kotlin fundamentals

Book Description

What you will learn

• Install and configure Android Studio for Android development
• Build Android apps with Kotlin and Jetpack Compose
• Understand variables, loops, functions, and Kotlin syntax
• Create interactive apps with touch, sound, and graphics
• Work with collections, lambdas, and scope functions
• Build multi-screen apps with navigation and Room databases
• Develop a game while mastering Kotlin OOP concepts
• Learn how to (optionally) use AI to speed up learning and development

Who this book is for

This book is for beginners who want to learn Android app development using Kotlin and Jetpack Compose. It is ideal for readers with no programming experience, developers moving from Java to Kotlin, and anyone wanting a practical, project-based introduction to modern Android development.

Build and deploy AI-driven trading systems using the 7-Stage workflow with pandas, Polars, LightGBM, PyTorch, Optuna, zipline-reloaded, MLflow, Feast, and SHAP

Key Features

• Build point-in-time pipelines, integrate alternative data, and ensure data integrity
• Build and validate predictive models using GBMs, Transformers, and causal inference frameworks to create robust, interpretable alpha signals
• Deploy RAG systems, autonomous financial agents, and diffusion-based synthetic data generators

Book Description

What you will learn

• Transform raw data into predictive alpha factors, validated with leak-proof cross-validation
• Master advanced models, from Gradient Boosting Machines to Transformers, Graph Neural Networks, and Reinforcement Learning agents
• Harness Generative AI, Retrieval Augmented Generation, and Causal Inference to make models interpretable, auditable, and compliant with regulatory standards
• Build production-ready trading infrastructure using MLOps, feature stores, and model monitoring to transition research into live capital deployment safely

Who this book is for

If you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.

Build smart, AI-powered robots with Raspberry Pi and Python through hands-on projects, from rovers to intelligent autonomous systems Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Boost your Python skills with practical examples to program complex robot behaviors and functionalities
• Build a robotics learning and exploration platform
• Leverage AI neural network models for voice recognition and synthesis, and OpenCV for computer vision

Book Description

What you will learn

• Manage your robots with control panels and view their state with interactive dashboards
• Integrate sensor systems for dynamic robot navigation and interaction
• Learn voice recognition with Piper and Vosk, and build computer vision with OpenCV
• Explore encoder-based localisation with the BNO055 module to enhance your robot's movement accuracy
• Automate installation and updates with scripts to keep your robot up to date effortlessly
• Use practical algorithms to process sensor data to guide robot behavior

Who this book is for

This robotics book is ideal for programmers, developers, and robotics enthusiasts with at least beginner coding skills who are eager to design, build, and program cutting-edge robots using autonomous robot algorithms along with AI models. Basic knowledge of the Python programming language will help you understand the concepts covered in this robot programming book more effectively.

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.

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

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.

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.

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.

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.

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.

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.

Move beyond prompt-based coding by using Claude Code to design reliable, agent-driven workflows and build production-ready full-stack applications

Key Features

• Learn Claude Code as a development partner to build custom automations and agentic workflows
• Build and iterate on a Next.js application using Claude Code for AI-assisted development
• Scale AI-assisted development with Claude Code while maintaining code quality

Book Description

What you will learn

• Design agentic coding workflows in the terminal and IDE using Claude Code
• Build custom automations with reusable slash commands and hooks
• Use Claude Code with a Next.js project to implement AI-driven workflows
• Create persistent AI memory using Claude Code memory files
• Apply MCP for structured context sharing across tools and agents
• Design multi-agent systems using subagents and orchestration patterns
• Enforce coding standards using project documentation and context control
• Scale AI pair programming while keeping code maintainable

Who this book is for

This book is for developers and engineers who want to move beyond chat-based AI and build agentic, automated development workflows using Claude Code and MCP. It is ideal for application developers with prior software engineering experience who want to integrate context-aware AI agents into their terminal and IDE, automate complex tasks, and design scalable multi-agent systems. It will also benefit AI engineers and GenAI users working closely with modern development workflows.

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.

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

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.

Run production-grade GenAI workloads by containerizing, serving, and scaling LLMs, agents, and multi-model pipelines with Docker, MCP, and Kubernetes for cloud platforms

Key Features

• Deploy and operate local and edge-friendly LLM inference using Docker Model Runner and an OpenAI-compatible API
• Orchestrate multi-model and multi-agent workloads with Docker Compose and Kubernetes patterns used by platform teams
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Containerize GenAI services using Docker images, registries, and Compose-based deployment stacks
• Package and distribute models as OCI artifacts for repeatable builds and controlled promotions across environments
• Choose GGUF quantization levels to balance cost, latency, and accuracy for cloud and hybrid runtimes
• Serve LLMs via Docker Model Runner with an OpenAI-compatible API suitable for internal platforms
• Integrate tools and data securely using MCP and Docker MCP Gateway with least-privilege access patterns

Who this book is for

Cloud engineers, DevOps engineers, SREs, and platform engineers who need to deploy, operate, and scale GenAI workloads using Docker and Kubernetes on cloud, hybrid, or edge environments. You should be comfortable with the command line and basic service operations; prior Docker or Kubernetes exposure is helpful but not required.

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.

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.

Gain the expertise to deploy, secure, and optimize Microsoft Entra ID while strengthening identity governance, protecting human and machine identities from modern threats, and enabling secure access to internet-based and private resources

Key Features

• Implement identity governance, PIM, lifecycle workflows, and Zero Trust access
• Secure external, workload, and decentralized identities across hybrid enterprises
• Learn from a Microsoft Entra Principal Product Manager driving platform innovation
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Apply Zero Trust principles to identity architecture
• Deploy Microsoft Entra tenants, roles, MFA, and Conditional Access
• Leverage Microsoft Security Copilot and Entra agents for identity operations
• Govern access using access packages, access reviews, and PIM
• Automate joiner, mover, and leaver identity lifecycles
• Investigate and remediate identity-based threats
• Provide secure access to business partners and consumers
• Minimize on-premises Active Directory and migrate to Microsoft Entra ID

Who this book is for

This book is for identity administrators, system administrators, security engineers, cloud architects, and IT professionals responsible for securing and governing enterprise access. If you manage hybrid environments, enforce Zero Trust, automate lifecycle processes, or protect against identity-based threats, this guide is for you. A foundational understanding of networking, IAM, and cloud concepts will help you get the most from this book.

Ce livre sur la cybersécurité est structuré en trois parties :

• les notions clés de l'informatique et des données du cyber-espace ;
• les failles et les menaces exploitables par la cyber-criminalité ;
• les différents acteurs et métiers engagés dans la lutte pour la cybersécurité.

Pour les étudiants, informaticiens ou curieux, c'est une porte d'entrée vers les fondamentaux de la cybersécurité qui posent plusieurs jalons essentiels à la compréhension des enjeux du numérique : des schémas, des QCM et leurs corrigés sur un sujet qui concerne tout un chacun.

L’intelligence artificielle transforme en profondeur nos sociétés, nos économies et nos modes de vie. Si ses applications sont prometteuses (automatisation, médecine, éducation, finance, etc.), elles soulèvent également des questions éthiques majeures. Il est impératif d’accompagner ces avancées technologiques d’une réflexion critique.

L’enjeu est de montrer que ces technologies nous transforment autant que nous les utilisons. En cela, l’ouvrage s’oppose à l’idée dominante selon laquelle “l’IA générative n’est qu’un outil”.

Cette approche croise des apports en sciences sociales, en philosophie morale et en pratique professionnelle (développement, data science) dans une perspective accessible au grand public comme aux praticiens.

À l’heure où l’IA s’impose partout (travail, santé, gouvernance…), le livre apporte un éclairage nécessaire pour comprendre les transformations en cours et penser les régulations futures.

Points forts

• L'ouvrage donne les clés pour comprendre comment l’IA influence nos choix, nos interactions.
• L’ouvrage montre que l’IA n’est pas seulement un outil : elle transforme en profondeur nos comportements, nos normes sociales et nos pratiques professionnelles.
• Pensé pour un large public, il rend compréhensible des enjeux souvent complexes sans jamais sacrifier la précision intellectuelle.
• En mettant en lumière les enjeux éthiques et pratiques, il offre des repères concrets pour les praticiens confrontés à l’intégration de systèmes d’IA dans leur activité.

PRINCE (PRojects IN Controlled Environments) est une méthode structurée de gestion de projets, basée sur des processus, des thèmes et des principes, qui s'applique à tout type de projet, informatique ou non.
Elle est simple et structurante et permet aux entreprises qui la mettent en oeuvre d'optimiser leur organisation en définissant des redevabilités claires, de se focaliser sur ce qu'elles cherchent à produire, et de pouvoir assurer un contrôle de haut niveau sur de multiples projets.
Elle fournit également un excellent outil de gouvernance sur les projets développés avec des méthodes agiles.
Cet ouvrage vous permettra de comprendre et de maîtriser les concepts de PRINCE2^®. Il comporte des QCM d'entraînement  pour pouvoir préparer les deux certifications PRINCE2^®  : l'examen "Fondamental" (Foundation)  et l'examen "Praticien" (Practitioner).
Cette troisième édition est actualisée pour tenir compte des mises à jour de la version 2017. Elle apporte également des compléments sur la méthode PRINCE2 Agile^®.
 

Description
Start your SQL Server and T-SQL journey with a clear, simple, and step-by-step guide that helps you build practical database skills from the ground up. You will learn DDL to create databases, schemas, tables, constraints, and indexes, and DML to retrieve and modify data. You will build advanced querying and analytical skills with joins, subqueries, CTEs, built-in functions, pivot, unpivot, rollup, and ranking and window functions.

You will use T-SQL features including temporary tables, cursors, WHILE loops, CASE expressions, IF...ELSE statements, transactions, error handling, concurrency controls, and isolation levels. You will create stored procedures, views, functions, and triggers; process XML and JSON; improve performance through indexing and tuning; troubleshoot issues; and deploy database solutions.

Updated for SQL Server 2022, this edition covers relevant features and practical topics without promising exhaustive coverage. It expands coverage of built-in functions, pivot, unpivot, rollup, cursors, concurrency concepts, isolation levels, performance tuning, and tips for writing efficient stored procedures.

What you will learn
? Create database objects and retrieve and modify data.
? Perform advanced querying and analysis with joins, subqueries, CTEs, pivot, unpivot, rollup, and window functions.
? Use T-SQL features, transactions, error handling, concurrency controls, and isolation levels.
? Develop stored procedures, views, functions, and triggers.
? Process XML and JSON data.
? Optimize, troubleshoot, and deploy database solutions.

Who this book is for
SQL for All is the core idea behind this book. Whether you are a student, fresher, aspiring database developer, data analyst, data engineer, or data enthusiast, this book is designed to make T-SQL and data literacy accessible, practical, and easy to learn. No prior experience is required—just a willingness to learn and explore the world of data.

Table of Contents
1. Getting Started
2. Tables
3. Indexes
4. DML
5. Built-In Functions - Part 1
6. Join, Apply, and Subquery
7. Built-In Functions – Part 2
8. Pivot and Unpivot
9. Dealing with XML and JSON
10. Variables and Control Flow Statements
11. Temporary Tables, CTE, and MERGE Statement
12. Cursors
13. Performance Tuning Essentials
14. Error Handling and Transaction Management
15. Data Conversion, Cross-Database, and Cross-Server Data Access
16. Programmability
17. Tips for Efficient Stored Procedures
18. Deployment

Time series is far more than fit-predict forecasting. Real mastery comes from intuition and is built through experimentation. Walk the full range with two practitioners: forecasting, conformal prediction, transfer learning, and beyond.

Key Features

• Grasp core concepts through clear explanations that build genuine understanding rather than surface familiarity
• Work with realistic datasets and develop the judgement to choose the right approach for your problem
• Progress from neural network fundamentals to advanced techniques across a full range of time series challenges.

Book Description

What you will learn

• Build, train, and evaluate neural networks for time series using PyTorch and PyTorch Lightning. Tune models with Bayesian optimisation and validate them with suitable metrics and strategies.
• Progress from feedforward and recurrent networks to transformers and models such as N-BEATS, N-HiTS, and TFT.
• Learn how global models use cross- and transfer learning across many series.
• Generate synthetic series and representations with diffusion and self-supervised methods.
• Apply modern approaches to classification, clustering, and anomaly detection.

Who this book is for

This book is for data analysts, scientists, and students who want to know how to apply deep learning methods to time-series forecasting problems with PyTorch for real-world business problems. While the book assumes some understanding of statistics and modeling, you won’t need in-depth knowledge of time series to follow along. Some familiarity with Python is important, but we do not assume any prior knowledge of PyTorch. The main goal of this book is to be accessible to those with little or no experience with deep learning methods in time series.

Most books teach you how to build LLMs from scratch or deploy them via APIs. This book uses guided machine learning projects to teach you how to understand, visualize, and investigate LLMs including GPT and BERT.

Key Features

• Each project is built around three learning goals: machine learning techniques, LLM mechanisms, and Python coding with data visualization.
• This is not a dense theoretical textbook; it's hands-on, practical, and project-oriented.
• You will learn how to measure, visualize, and manipulate the internal components of LLMs directly.

Book Description

What you will learn

• Tokenization schemes and their statistical properties
• Embedding spaces: cosine similarity, semantic axes, and analogy vectors
• Output logits, softmax distributions, perplexity, and language biases
• Layer-by-layer transformer dynamics and dimensionality
• Attention mechanisms: QKV weights, attention scores, head ablation, and activation patching
• MLP subblocks: neuron tuning, mutual information, subspace analysis, and statistics-based causal manipulations
• Logit lens, indirect object identification, and causal tracing

Who this book is for

This book is for data scientists, ML engineers, and researchers who want to go beyond surface-level understanding of LLMs. Prior Python experience is required. Familiarity with machine learning or deep learning is helpful but not required — techniques are introduced as they arise throughout the projects.

Donnez vie à vos idées avec la puissance de Flutter

Le développement mobile évolue rapidement et les entreprises comme les développeurs recherchent aujourd’hui des solutions capables de concilier performance, rapidité de production et réutilisation du code. Dans ce contexte, Flutter s’impose comme l’un des frameworks les plus puissants pour concevoir des applications modernes, élégantes et multiplateformes à partir d’un code unique.

Conçu comme un guide progressif et structuré, ce livre accompagne le lecteur depuis les fondamentaux jusqu’aux aspects les plus concrets de la création d’applications. Il aborde l’installation et la configuration de l’environnement, les bases du langage Dart, les widgets, la mise en page, la navigation, la gestion d’état, les formulaires, l’intégration d’API, la gestion des données, ainsi qu’une étude de cas complète permettant de mettre en pratique les notions essentielles dans un projet réaliste.

Pensé à la fois pour les praticiens, les développeurs débutants, les enseignants et les étudiants souhaitant renforcer leurs compétences, ce livre propose une approche claire, pédagogique et orientée vers la pratique. Il constitue un compagnon précieux pour apprendre à développer avec Flutter de manière méthodique, efficace et professionnelle.

Enjeu stratégique majeur pour toutes les organisations, la cybersécurité reste souvent difficile à appréhender pour les dirigeants non-spécialistes.

Réglementation, détection des menaces, protection des systèmes d’information… autant de notions clés enfin expliquées dans un langage accessible aux décideurs !

Sans approche technique superflue, l’auteur explique quels sont les risques réels, les logiques des attaquants et les grands principes qui structurent la sécurité numérique.

Véritable outil d’aide à la décision, cet ouvrage facilite le dialogue avec les équipes techniques et les prestataires.

Il vous permettra de poser les bonnes questions et de piloter une stratégie de cybersécurité adaptée aux enjeux, à la taille et au contexte de votre organisation. 

Une cyberattaque ne menace pas seulement les systèmes, elle peut fragiliser durablement l’activité, la réputation et la responsabilité de l’entreprise. 

Plus que jamais, les dirigeants doivent donc assumer pleinement leur rôle et apprendre à voir clair dans le brouillard cyber.

Understand data analysis pipelines using Python Data Analysis, machine learning, pandas, scikit-learn, and data visualization techniques. Build scalable workflows for time series, NLP, image analytics, and big data processing.

Key Features

• Prepare, clean, and transform data with Python, pandas, and exploratory data analysis techniques
• Apply machine learning with Python using regression, classification, clustering, PCA, and Bayesian methods
• Scale analytics workflows using Dask, Ray, Modin, and PySpark

Book Description

What you will learn

• Prepare, clean, and transform data for exploratory data analysis and data wrangling
• Analyze and visualize data using Python and pandas
• Perform time series analysis, forecasting, and signal processing
• Apply machine learning with Python using scikit-learn techniques
• Use regression, classification, clustering, PCA, and Bayesian methods
• Perform sentiment analysis, NLP, graph analytics, and image analytics
• Accelerate workflows using Dask, Modin, and Ray
• Build scalable big data analytics pipelines with PySpark

Who this book is for

This book is for data analysts, data scientists, business analysts, statisticians, students, and academic professionals who want to strengthen their Python Data Analysis skills. It is ideal for readers looking to apply data science with Python to real-world problems involving data preparation, visualization, machine learning, NLP, image analytics, and big data processing. A basic understanding of mathematics and working knowledge of Python will help you get the most from this book.

Learn to manage security incidents, hunt advanced threats, and defend IT systems using Microsoft security tools, gaining hands-on expertise to ace the SC-200 exam and become a certified Microsoft Security Operations Analyst

Key Features

• Get expert guidance on detecting, investigating, and responding to cyber threats
• Develop practical skills through real-world scenarios and step-by-step security implementations
• Enhance your SOC expertise with automation and advanced incident response techniques
• Purchase of this book unlocks access to web-based exam prep resources including mock exams, flashcards, exam tips

Book Description

What you will learn

• Understand Microsoft security operations and threat protection in detail
• Configure and manage Microsoft Defender XDR for endpoint security
• Deploy Microsoft Sentinel and integrate various data connectors
• Investigate security incidents using Microsoft Defender tools
• Analyze alerts, incidents, and evidence in Microsoft security portals
• Implement Microsoft Defender for Cloud to secure cloud environments

Who this book is for

This book is for security analysts, SOC professionals, and cloud security engineers who want to master Microsoft security tools, investigate threats, and pass the SC-200 exam. A basic understanding of Microsoft technologies and security concepts is recommended.

Build efficient systems software with the Zig programming language by creating UNIX tools, network services, asynchronous applications, and high-performance servers.

Key Features

• Build real-world systems software and UNIX programming tools through practical Zig projects
• Develop network programming skills through TCP, UDP, HTTP services, concurrent applications, and CLI tools
• Master memory management, I/O, and systems-level design with the Zig programming language

Book Description

What you will learn

• Build production-ready UNIX command-line tools with Zig
• Develop TCP, UDP, and HTTP network services and applications
• Apply systems programming techniques to memory, filesystems, and process management
• Manage memory and binary data safely and efficiently
• Implement multithreading, synchronization, and concurrent systems
• Create asynchronous I/O and event-driven network applications
• Integrate SQLite into real-world Zig applications
• Design and build a domain-specific language using parsing and comptime techniques

Who this book is for

Software developers, systems programmers, UNIX systems engineers, and backend engineers who already understand Zig fundamentals and want to build production-ready systems software. Familiarity with programming concepts and experience using languages such as C, C++, Rust, Go, or Python will help you get the most from this book.

Explore Angular's latest features, from signals and standalone components to SSR, SSG, AI tooling, and production-ready UI and data patterns, so you finish with skills and a portfolio that work on the job

Key Features

• Master a suite of hands-on solutions and leave with a hiring-ready portfolio that proves job-ready skills
• Deliver fast and ship with confidence; from SSR/SSG to performance gains and reliable UI stacks
• Add focused AI features like OCR, summaries, and assistants where they help most

Book Description

What you will learn

• Scaffold faster and refactor safely with AI-assisted workflows
• Design trustworthy forms users can complete without friction
• Add AI: summaries, and assistant-driven booking
• Integrate real services: Maps, email, Firebase, MongoDB
• Ship quickly with SSR/SSG and Core Web Vitals improvements
• Build maintainable UIs with PrimeNG, Material, Telerik

Who this book is for

This book is for developers with beginner-level Angular experience who want to become proficient in using essential tools and dealing with the various use cases in Angular. Beginner-level knowledge of web application development and basic experience of working with latest JavaScript or TypeScript is essential before you dive in. This book focuses on practical applications of Angular. If you want to deepen your understanding of this framework, we recommend that you also look at Learning Angular from the same author.

Learn to design, implement, and scale distributed observability in Rust using OpenTelemetry, with practical examples for tracing, logging, and metrics.

Key Features

• Implement end-to-end observability in Rust using OpenTelemetry APIs and Collector
• Correlate logs, traces, and metrics across async, multithreaded Rust applications
• Build and deploy an observable Rust microservice with Actix, Redis, and Prometheus
• Configure dashboards, alerts, and trace views in Grafana using real telemetry data

Book Description

What you will learn

• Understand the three pillars of observability in Rust
• Apply tracing and logging using the Tokio and OpenTelemetry crates
• Export telemetry to backends like Prometheus, Jaeger, and Grafana
• Use the OpenTelemetry Collector to manage telemetry pipelines
• Correlate metrics, logs, and traces for faster debugging
• Implement structured logging, redaction, and context propagation
• Optimize telemetry costs with sampling strategies
• Build and deploy an observability-first Rust microservice

Who this book is for

Rust developers building backend systems, DevOps engineers, and SREs deploying Rust in production will benefit from this book. Ideal for readers experienced in Rust development who want to implement end-to-end observability using OpenTelemetry and tools like Grafana, Prometheus, and Jaeger.

Master algorithmic short selling with Python by learning practical techniques, coding trading signals, and applying robust risk management to generate alpha in any market condition.

Key Features

• Build and test algorithmic short-selling strategies in Python
• Apply advanced trade execution, position sizing, and risk controls
• Harness idea generation, regime detection, position sizing, pairs trading, portfolio management, and asset allocation

Book Description

What you will learn

• Generate long and short ideas across all types of markets
• Systematically classify securities as bullish or bearish
• Detect sector rotation ahead of consensus
• Apply risk-adjusted position sizing tailored to short selling
• Avoid crowded trades, go long short squeezes, and navigate high dividend yield value traps
• Manage a long/short portfolio with four exposures: gross, net, Beta, and concentration
• Combine uncorrelated strategies to generate a smoother equity curve
• Use an AI-powered trading journal to elicit subconscious beliefs that drive your trading decisions

Who this book is for

This book is for quantitative traders, portfolio managers, algorithmic trading developers, and advanced retail traders who want to master the short side using Python. A working knowledge of Python and basic trading concepts is assumed. Readers will gain not just coding skills, but also the strategic and risk management frameworks needed to build profitable short strategies.

Build and deploy AI-powered Angular apps using Gemini, Genkit, multimodal AI, MCP, and RAG to create intelligent UIs, generate images or video, and turn concepts into scalable cloud solutions

Key Features

• Integrate cutting-edge AI such as Gemini and multimodal capabilities into Angular apps
• Build intelligent features such as image and video generation, MCP, RAG
• Deploy robust, scalable AI solutions to the cloud
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Integrate LLMs and Gemini multimodal AI into Angular
• Build dynamic text generation and interactive chat interfaces
• Create AI-driven image and video generation tools
• Implement RAG with Firestore for grounded LLM responses
• Develop robust Angular SSR apps with advanced AI-powered features
• Master testing, security, and deployment for AI solutions
• Understand ethical AI practices in web development
• Strategize AI for growth and innovation in Angular products

Who this book is for

This book is for mid-level to senior Angular developers who want to integrate advanced AI capabilities into their applications. It's also ideal for team leads and C-level executives looking to understand and implement AI strategies for driving innovation and growth within their Angular-based products. A solid grasp of Angular fundamentals and TypeScript is assumed. While not strictly required, familiarity with fundamental AI/ML concepts like LLMs and APIs will be helpful, as the book provides comprehensive context necessary for AI integration.

Zephyr RTOS Cookbook delivers hands-on recipes for tackling real-world challenges in portable, scalable Zephyr application development Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Build and organize Zephyr applications using West to enable clean, reproducible, multi-repo workflows
• Configure features with Kconfig and describe hardware with DeviceTree
• Develop portable, scalable systems for industrial and IoT devices using Zephyr subsystems and the device driver model

Book Description

What you will learn

• Set up a reproducible Zephyr development environment and West workspace
• Structure apps and modules
• Navigate the Zephyr build flow and inspect key generated outputs
• Configure features with Kconfig
• Describe and customize hardware using devicetree
• Use common subsystems: GPIO, I2C, ADC, logging, and shell
• Apply user mode to enforce security
• Control peripherals from applications using drivers

Who this book is for

This book is for embedded developers and engineers transitioning to Zephyr from traditional RTOSes, bare-metal environments, or embedded Linux. It is aimed at readers with experience in embedded C who want to adopt Zephyr as a scalable platform for building portable systems that can be deployed consistently across multiple boards and development teams.

Learn how to integrate AI into Linux environments with real-world automation, observability, and scalable deployment techniques for modern infrastructure teams

Key Features

• Apply AI to Linux, from core concepts to production-ready deployments at scale
• Build intelligent automation using LLMs, RAG, and AI agents for monitoring, troubleshooting, and system administration
• Deploy secure, scalable AI workloads with Docker, Kubernetes, and cloud-native best practices

Book Description

What you will learn

• Optimize Linux kernels and GPUs for AI workloads
• Orchestrate LLM pipelines across distributed systems
• Design agentic workflows for autonomous operations
• Implement RAG over logs and internal knowledge graphs
• Embed AI into observability and incident triage
• Deploy scalable AI microservices on Kubernetes
• Enforce security, isolation, and model guardrails

Who this book is for

This book is for Linux engineers, system administrators, DevOps professionals, SREs, and platform engineers who want to integrate AI into real-world infrastructure and operations. Prior hands-on experience with Linux, the command line, and basic system administration is expected. Some familiarity with containers (Docker), Kubernetes, and scripting (Bash or Python) would be helpful. Prior AI or machine learning knowledge is beneficial but not required, as core concepts are explained in practical Linux terms.

Build, deploy, and monitor AI applications using Microsoft Foundry's unified portal, combining models, workflows, agents, and responsible AI practices into a single development experience.

Key Features

• Build, evaluate, and deploy AI solutions using Microsoft Foundry’s unified portal
• Implement guardrails, evaluations, and monitoring for production-ready AI systems
• Includes real-world use cases integrating Azure OpenAI and Databricks
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Select and deploy models for vision, language, and custom AI scenarios
• Use Prompt Flow to design and refine complex AI interactions
• Evaluate models using standard performance metrics
• Build assistants, copilots, and image-processing solutions with Azure OpenAI
• Design, deploy, and orchestrate multi-agent systems using Microsoft Foundry Agent Service
• Utilize Microsoft Foundry Observability for real-time monitoring and evaluation
• Apply Microsoft's Responsible AI principles to real applications

Who this book is for

This book is for developers, data professionals, and AI practitioners who want to build and deploy intelligent applications using Microsoft Foundry. Whether you're transitioning from Azure AI Studio or starting fresh, this guide will help you understand how to design real-world AI systems using modern tools and best practices. Basic knowledge of programming and data concepts will help you get the most out of this book.

Master data visualization with D3.js v7 using modern web standards and real-world projects to build interactive charts, maps, and visual narratives

Key Features

• Build dynamic, data-driven visualizations using D3.js v7 and ES2019+
• Create D3 data visualizations, including charts, maps, and networks
• Master data visualization with JavaScript through hands-on examples

Book Description

What you will learn

• Bind data to DOM elements and apply transitions and styles
• Build interactive bar, line, pie, scatter, tree, and animated network charts
• Implement interactive behaviors with zoom, drag, and tooltips
• Visualize hierarchical data, flows, and maps using D3 layouts and projections
• Use D3 with HTML5 Canvas for high-performance rendering
• Create thematic geographic maps using standard GeoJSON and TopoJSON shapefiles
• Complete 100+ exercises with commented templates and solutions
• Build full visualizations through 10 guided online exercises

Who this book is for

This book is for web developers, data journalists, designers, analysts, and anyone who wants to create interactive, web-based data visualizations. A basic understanding of HTML, CSS, and JavaScript is recommended. No prior knowledge of SVG or D3 is required.