Unlock the world of generative AI with Python. Explore the intricacies of deep learning, large language models, and applications in business and consumer tech.

Key Features

• In-depth coverage of Python's role in generative AI
• Hands-on coding exercises using state-of-the-art tools like Hugging Face
• Comprehensive understanding of model training, fine-tuning, and deployment

Book Description

What you will learn

• Understand the basics of generative AI and deep learning
• Learn how to build generative AI models using Python
• Work with large language models and pretrained tools like Hugging Face
• Implement real-world applications such as text summarization and image generation
• Explore model fine-tuning, optimization, and deployment for various uses
• Gain hands-on experience with coding exercises and AI projects

Who this book is for

This book is ideal for Python developers, data scientists, and AI enthusiasts looking to explore generative AI. A basic understanding of Python programming and machine learning concepts is recommended. Prior experience with libraries such as TensorFlow or PyTorch will be helpful but not essential. The book is suitable for those interested in applying generative AI in business, technology, or creative industries.

Master the core principles of PHP and MySQL to build dynamic web applications. Learn how to effectively manage databases and create secure web forms that interact with server-side technologies.

Key Features

• Step-by-step guide to mastering PHP and MySQL development.
• Practical examples that enhance real-world web development skills.
• Emphasis on security practices and database management.

Book Description

What you will learn

• Understand the fundamentals of PHP and MySQL databases.
• Implement dynamic and interactive web pages using PHP.
• Design and manage databases for efficient data storage.
• Learn advanced PHP concepts such as classes and functions.
• Create and manage forms for data collection and validation.
• Connect web applications to databases with PDO.

Who this book is for

This book is ideal for beginner to intermediate web developers who have a basic understanding of programming and are looking to expand their skills. Readers should have a foundational knowledge of HTML and CSS before diving into PHP and MySQL. The book is suitable for those who want to learn server-side programming and work with databases to build functional, dynamic websites. No prior experience with PHP or MySQL is required, but familiarity with web development concepts will be helpful.

A comprehensive reference for mastering Linux shell commands. From basic to advanced, this guide covers commands, bash scripting, system management, special bash characters, and keyboard shortcuts to boost your productivity.

Key Features

• Covers key Linux commands and their practical applications for effective system management
• Explores bash scripting and special characters to enhance your command-line productivity
• Provides clear guidance on configuration files and system optimization techniques

Book Description

What you will learn

• Master essential Linux commands, utilize bash scripting for efficient work
• Configure Linux systems for optimal performance
• Navigate through special characters for advanced shell usage
• Learn how to optimize Linux environments with custom scripts
• Manage configuration files for system administration
• Use keyboard shortcuts to boost productivity

Who this book is for

This book is ideal for Linux system administrators, developers, and anyone eager to enhance their command-line skills. Readers should have a basic understanding of the Linux terminal and some familiarity with simple commands. It’s perfect for those looking to expand their knowledge of Linux and become more efficient in daily tasks.

Make smarter decisions by mastering causal reasoning and causal inference. Learn how to separate correlation from causation, evaluate impact, and apply evidence-based thinking—no complex math required.

Key Features

• Learn how to separate causation from correlation in real decisions
• Apply causal inference methods without complex statistics
• Practice causal thinking with real cases and an interactive app

Book Description

What you will learn

• Understand causality and why correlation can mislead decisions
• Distinguish predictive models from causal inference
• Use causal graphs to reason about cause and effect
• Evaluate impact with experiments and quasi-experiments
• Spot flawed causal claims in business and everyday life
• Apply causal thinking confidently to real decisions

Who this book is for

This book is ideal for decision-makers, managers, analysts, marketers, policymakers, and curious professionals who want to improve how they evaluate evidence and make decisions. No prior background in statistics, economics, or programming is required. It is suited for readers who work with data, experiments, or performance metrics and want to better understand cause and effect without diving into technical or mathematical detail.

Learn how to automate IT infrastructure management. This guide takes you from installation to advanced configurations, including playbooks, modules, and cloud integrations, enabling you to streamline automation tasks.

Key Features

• Hands-on guide to setting up and configuring Ansible in your environment.
• Practical examples for automating infrastructure tasks using Ansible's modules and playbooks.
• Advanced automation techniques, including cloud provisioning and Docker integration.

Book Description

What you will learn

• Set up Ansible and configure the environment
• Understand and use Ansible modules and collections
• Create and manage inventories for efficient automation
• Write and execute Ansible playbooks
• Use YAML for configuration and serialization
• Handle variables, loops, and error management

Who this book is for

This book is ideal for system administrators, DevOps engineers, and IT professionals who want to automate and manage their infrastructure more efficiently. A basic understanding of IT systems, Linux, and command-line interfaces is recommended. While no prior experience with Ansible is required, familiarity with automation tools will be helpful. The book is suitable for both beginners looking to get started and experienced professionals seeking to refine their skills.

Python est un langage de programmation populaire, performant, gratuit et facile à apprendre. Il est très utilisé dans l'enseignement secondaire et supérieur, ainsi que dans la recherche scientifique.

Le petit Python est un aide-mémoire permettant de retrouver rapidement et efficacement la syntaxe de n'importe quelle instruction ou fonction de Python. Dans ce livre sont abordées de façon claire et complète les notions importantes pour la programmation telles que le typage, la décompression des itérables, les espaces de noms, la mutation, l'aliasing, la résolution d'identificateurs, les modules, les conditions logiques, les boucles, les exceptions, les docstrings, les procédures, les fonctions, les décorateurs, les gestionnaires de contexte, le formatage des chaînes, les bits, les octets, les bytes, le système binaire, l'encodage, les fichiers (écriture et lecture), le calcul, l'introspection, etc.

Sont décrits, entre autres, les modules math, decimal, fractions, random et turtle ainsi que les types bool, int, float, complex, str, bytes, bytearray, list, tuple, range, set, frozenset, dict, etc.
Chaque notion est illustrée par des exemples et du code.

Le lecteur peut apprendre à programmer en lisant les chapitres les plus généraux, ou approfondir ses connaissances en lisant les parties les plus pointues.

Building MAS-RAG (multi-agent AI systems for RAG) that reason over real-world data using hybrid retrieval and scalable architectures for production use. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Master DualRAG by combining vector search with SQL filtering over structured enterprise data
• Implement GraphRAG, Spatial-RAG, and vector search natively in Oracle Database 23ai
• Build multimodal video pipelines with human-feedback loops and fine-tuned models

Book Description

What you will learn

• Bring intelligence directly to the data within Oracle Database 23ai
• Defeat hallucinations and data poisoning with DualRAG, synchronizing vector semantics with structured SQL
• Build MAS-RAG pipelines with Planner, Agent Registry, and MCP-standardized sovereign agents
• Engineer an inference-time router using hybrid adaptive RAG to switch between reasoning, retrieval, and human feedback
• Fuse vector similarity, Oracle Spatial, and SQL Property Graph traversal into a converged hyper-query
• Multimodal video RAG with version-controlled schema registry and semantic vector search over visual assets

Who this book is for

This book is for AI engineers, ML engineers, data scientists, and MLOps professionals who want to build production-ready generative AI systems grounded in enterprise data. It will also benefit solutions architects, database engineers, and software developers looking to integrate large language models with structured and unstructured data sources using modern retrieval architectures. Readers should be comfortable with Python and have a basic understanding of machine learning concepts. Prior experience with generative AI or vector databases will help you get the most out of this book.

Python : le langage qui transforme les débutants en développeurs

Vous n’y connaissez rien en programmation et vous souhaitez apprendre un langage clair et intuitif ? Python est fait pour vous ! Vous découvrirez dans ce livre, conçu pour les débutants, tout ce dont vous avez besoin pour apprendre à coder en Python, des bases à la bibliothèque standard, en passant par la programmation orientée objet et l’acquisition d’outils avancés ou professionnels pour devenir plus efficace.

La 5e édition de cet ouvrage est enrichie et mise à jour pour tirer parti des dernières nouveautés de Python 3.14 et ultérieures.

Qu’allez-vous apprendre ?

• Qu’est-ce que la programmation ? Quel langage choisir ? Pourquoi Python ?
• Installation de Python et découverte du langage
• Les concepts de la programmation orientée objet
• Initiation aux interfaces graphiques avec Tkinter
• Communication en réseau dans les programmes Python
• Les bonnes pratiques pour améliorer vos codes
• Les réflexes du « bon programmeur » pour tirer parti de votre code et de celui des autres
• Les outils du programmeur professionnel (chasse aux erreurs, utilisation de bibliothèques…)

Unlock the power of SQL to manipulate and query relational databases. Learn database creation, optimization techniques, security practices, and more through hands-on examples.

Key Features

• Step-by-step instructions for mastering SQL.
• Practical examples covering real-world SQL applications.
• Emphasis on data security, transaction control, and optimization.

Book Description

What you will learn

• Understand the fundamentals of relational databases and SQL.
• Master database creation, modification, and deletion.
• Learn how to perform data manipulation with SQL queries.
• Explore advanced SQL topics like window functions and subqueries.
• Learn about database security and transaction control.
• Implement data integrity through normalization and keys.

Who this book is for

This book is ideal for anyone interested in learning SQL, whether you're a beginner or an intermediate user. Readers should have a basic understanding of databases and data management before starting. The book assumes no prior experience with SQL, but familiarity with concepts like data types and basic programming will be beneficial. It is designed for aspiring database administrators, developers, or anyone looking to enhance their data management skills.

Developing intelligent applications that integrate AI, analytics, and transactional capabilities using the latest release of the world's most popular open-source database

Key Features

• Practical examples demonstrating how to use PostgreSQL to develop intelligent applications
• Best practices for developers of intelligent data management applications
• Includes the latest PostgreSQL 18 features for AI, analytics, and transactions.

Book Description

What you will learn

• How to leverage PostgreSQL 18 for building intelligent data-driven applications for the modern enterprise
• Data management principles and best practices for managing transactions, analytics, and AI use cases
• How to utilize PostgreSQL capabilities to address architectural challenges and attain optimal performance for each use case
• Methods for utilizing the latest PostgreSQL innovation to create integrated data management applications
• Guidelines on when to use PostgreSQL and when to opt for specialized data management solutions

Who this book is for

This book is for backend developers, data engineers, database engineers, and solution architects who want to build modern applications using PostgreSQL as a unified platform for transactions, analytics, and AI. It is intended for readers with a basic understanding of SQL and relational databases who want to learn how to design high-performance transactional systems, implement analytical workloads, and integrate AI capabilities such as vector search and LLM-based applications within Postgres.

AI-Assisted Coding explores the integration of AI tools in programming, teaching readers to boost productivity with GitHub Copilot, ChatGPT, and more.

Key Features

• Learn to integrate AI tools into your coding workflow for increased productivity
• Understand the basics of large language models and transformers
• Master debugging, refactoring, and documentation with AI assistants

Book Description

What you will learn

• Utilize AI tools like GitHub Copilot and ChatGPT for coding assistance
• Understand the basics of large language models and transformers
• Implement pair programming with AI assistants
• Apply AI in debugging and refactoring code
• Generate and optimize code using AI tools
• Create AI-assisted documentation for software projects

Who this book is for

This book is ideal for software developers, programmers, and IT professionals who want to integrate AI into their coding practices. A basic understanding of programming languages like Python, JavaScript, or PHP is necessary.

Learn to master Excel from the ground up. This book covers everything from basic formulas to advanced data analysis, making it an essential guide for professionals.

Key Features

• Master Excel's fundamental functions for practical tasks.
• Understand advanced Excel tools like PivotTables and VBA for automation.
• Learn to present complex data clearly using Excel's charting tools.

Book Description

What you will learn

• Create and organize workbooks for efficient data management.
• Master Excel's core functions for accurate calculations.
• Apply formulas and functions to automate tasks and minimize errors.
• Use advanced features like PivotTables and charts to present data effectively.
• Leverage Excel's data analysis tools for decision-making.
• Design customized spreadsheets for specific tasks.
• Manage large datasets with ease.

Who this book is for

Ideal for professionals, business analysts, and anyone looking to improve their Excel skills. This book assumes basic knowledge of computers and an understanding of general data organization concepts. It’s perfect for those looking to develop a deep understanding of Excel’s capabilities.

Mettez de côté les mythes extravagants et les prophéties  alarmistes pour enfin comprendre ce qu’est l’IA.
Depuis la première édition de cet ouvrage en 2019, tout a changé et pourtant rien n’a changé. Tout a changé avec l’arrivée des IA génératives qui bouleversent par leur ampleur et leur vitesse d’adoption tout ce que nous avons connu jusqu’alors avec l’IA « traditionnelle ». Mais rien n’a changé dans la mesure où les fondements de l’IA générative demeurent probabilistes et où l’humain reste plus que jamais au centre de tout.
Dans ce livre, Jean-Philippe Desbiolles et Laurent Prud’hon, experts  chevronnés de l’intelligence artificielle, proposent une mise en perspective  claire et accessible. En s’appuyant sur des exemples concrets et 10 règles d’or  simples et pragmatiques, ils partagent leur expérience de terrain et démystifient  l’IA avec rigueur et humour. Ils rappellent que nous restons les créateurs, les  formateurs, les superviseurs et les bénéficiaires finaux de ces systèmes.
L’IA ne s’impose pas à nous : elle deviendra ce que nous déciderons d’en faire. À nous d’en définir les règles du jeu.

Master Rust programming from the basics to advanced topics like ownership, concurrency, and memory management with practical examples and exercises.

Key Features

• Step-by-step guidance from beginner to advanced topics in Rust programming.
• Practical exercises to reinforce learning and provide hands-on experience.
• Focus on Rust’s ownership, memory safety, and concurrency features.

Book Description

What you will learn

• Understand the fundamentals of Rust programming.
• Learn about variables, data types, and functions.
• Master Rust's ownership and borrowing system.
• Get familiar with working with structs, enums, and collections.
• Dive into functional programming concepts in Rust.
• Explore advanced features like lifetimes, smart pointers, and generics.

Who this book is for

This book is ideal for developers who want to learn Rust, especially those with some prior knowledge of programming concepts. Readers should be familiar with basic programming principles like variables, functions, and control flow. No prior knowledge of Rust is required, but a background in systems programming or an interest in low-level programming would be beneficial. Whether you're looking to enhance your career or explore Rust for its focus on memory safety and concurrency, this book will provide the necessary tools.

Learn deep learning with Keras, from setting up your environment to advanced topics like reinforcement learning and generative AI. Build, train, and optimize models for a wide range of applications.

Key Features

• Step-by-step guidance on setting up Keras and TensorFlow.
• Practical examples of deep learning concepts, including CNNs and reinforcement learning.
• Advanced techniques for building generative models, transformers, and diffusion models.

Book Description

What you will learn

• Install and set up Keras and TensorFlow for machine learning projects
• Understand machine learning, supervised, unsupervised, and reinforcement learning
• Implement deep learning models using Keras
• Master convolutional neural networks (CNNs)
• Build complex models with Keras Functional API
• Learn to implement and train transformers and reinforcement learning algorithms

Who this book is for

This book is ideal for data scientists, AI engineers, machine learning practitioners, and developers who want to dive into deep learning with Keras. A basic understanding of Python and machine learning concepts is helpful. It’s suitable for those starting with deep learning as well as experienced developers looking to implement complex AI models.

Discover blueprints that explore various components of Blazor, C#, and .NET to help you build web apps without learning JavaScript

Key Features

• Explore complete, easy-to-follow web projects using Blazor
• Build projects such as a weather app, expense tracker, and Kanban board with real-world applications
• Understand and work with Blazor WebAssembly effectively without spending too much time focusing on the theory

Book Description

What you will learn

• Discover the power of the C# language for both server-side and client-side web development
• Use the Blazor WebAssembly App project template to build your first Blazor WebAssembly application
• Use templated components and the Razor class library to build and share a modal dialog box
• Understand how to use JavaScript with Blazor WebAssembly
• Build a progressive web app (PWA) to enable native app-like performance and speed
• Understand dependency injection (DI) in .NET to build a shopping cart app
• Get to grips with .NET Web APIs by building a task manager app

Who this book is for

This book is for .NET web developers who are tired of constantly learning new JavaScript frameworks and wish to write web applications using Blazor WebAssembly, leveraging the power of .NET and C#. The book assumes beginner-level knowledge of the C# language, .NET framework, Microsoft Visual Studio, and web development concepts.

WordPress est un système accessible, flexible et puissant de gestion de contenu permettant de concevoir et de gérer facilement un site Internet.
Cet ouvrage se destine à toute personne souhaitant découvrir ou se perfectionner avec WordPress. « 100 % pratique », clair et concis, cet ouvrage est un concentré d’expériences : les clés et les bonnes méthodes pour évoluer sereinement dans la création (ou la gestion) d’un projet WordPress professionnel ou amateur.
Compléments indispensables, les ressources numériques téléchargeables sur le site www.dunod.com permettent au lecteur de mettre en pratique le contenu du livre : templace WordPress, sources Photoshop destinées au design, codes sources des exemples, fichiers HTML/CSS de l'intégration statique, liens utiles.
3e édition actualisée (à jour des dernières versions de WordPress).

Explore modern computer architecture from transistors and instruction sets to cloud-scale systems, LLM platforms, and secure computing, with major updates and new chapters reflecting today's cloud and AI-driven computing landscape

Key Features

• Understand modern processor and system architectures, spanning digital logic through x86/x64, ARM, and RISC-V
• Explore new and expanded topics, including GPUs, LLM platforms, cloud-scale systems, and cybersecurity
• Apply architectural principles to real-world systems, including confidential computing, blockchain, and autonomous platforms

Book Description

What you will learn

• Understand digital logic, processor fundamentals, and memory systems
• Explore modern CPU, memory, and I/O architectures
• Compare x86, ARM, and innovative RISC-V designs
• Benefit from performance techniques like caching, pipelining, and parallelism
• Understand virtualization and cloud-scale computing systems
• Learn how AI and LLM computing platforms are architected
• Examine confidential computing and security-focused architectures
• Understand blockchain systems and bitcoin mining computer architectures
• Explore quantum computing and future computing technologies

Who this book is for

This book is designed for software developers, computer engineering and computer science students, system designers, and technical professionals seeking a clear understanding of modern computer architecture. It also suits general readers eager to understand how modern computing devices work. Readers working with PCs, mobile devices, cloud platforms, embedded systems, and AI workloads will gain practical insight to guide better design and performance decisions.

Crack the updated AZ-900 (2026) and build real-world cloud skills with this new edition that goes beyond fundamentals through hands-on labs, Zero Trust security, and practical Azure use cases for modern careers.

Key Features

• Complete coverage of AZ-900 skills measured, aligned with the January 2026 exam update
• Beginner-friendly explanations with real-world Azure scenarios and visual, analogy driven learning
• Access to online mock exams, flashcards, exam timers, and hands-on labs for effective preparation

Book Description

What you will learn

• Understand core cloud computing concepts and delivery models
• Explore Azure architecture, regions, availability, and resource management
• Work with Azure compute, storage, and networking services
• Apply identity, security, and Zero Trust principles in Azure
• Manage costs, governance, and compliance effectively
• Deploy and manage resources using Azure tools and templates
• Monitor health, performance, and reliability in Azure
• Prepare confidently for the AZ-900 certification exam

Who this book is for

This book is for individuals preparing for the Microsoft Azure Fundamentals (AZ-900) certification exam and those looking to build a strong foundation in cloud computing with Azure. It is suitable for IT professionals, students, and business users seeking to understand Azure services, architecture, and management. No prior cloud experience is required, making it ideal for beginners, while those with some technical background can use it to reinforce their knowledge and prepare for certification.

Build, evaluate, and measure effective cybersecurity strategies using real-world threat intelligence and lessons from decades of enterprise defense experience.

Key Features

• Apply data-driven strategies to protect, detect, and respond to modern cyber threats
• Evaluate Zero Trust, attack-centric, and resilience strategies for enterprise defense
• Address ransomware, API abuse, cloud risks, and AI system security
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Identify common enterprise intrusion paths and reduce initial compromise
• Distinguish credible threat intelligence from industry noise
• Improve vulnerability management while reducing risk and cost
• Assess malware, ransomware, and internet-based attack techniques
• Secure APIs and reduce exposure from trusted enterprise tools
• Evaluate Zero Trust and attack-centric security strategies
• Apply cloud, resilience, and AI capabilities to improve security outcomes
• How governments request data and how enterprises manage access, risk, and oversight

Who this book is for

This book is for CISOs, CSOs, security leaders, architects, and cybersecurity professionals responsible for strategy, risk reduction, and compliance in enterprise environments. Readers should have a basic understanding of IT, networking, and core cybersecurity concepts.

Co-authored by core contributors of Milvus, this book guide explores the architecture of the Milvus vector databases for GenAI solutions Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Understand the core architecture and vector indexing engine that makes Milvus ideal for AI-driven search
• Learn scalable deployment and performance optimization techniques
• Test, apply, and integrate Milvus into AI and LLM pipelines using LangChain
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Deploy Milvus using Docker, Kubernetes, and Helm
• Configure Milvus and monitor system health with Prometheus, Grafana, and Loki
• Understand core components like Knowhere, indexes, time sync, compaction, and garbage collection
• Design and optimize schema, queries, and data modification flows
• Benchmark performance and simulate real-world failure recovery
• Scale Milvus clusters to support large datasets and high-concurrency traffic
• Implement different multi-tenant strategies in Milvus
• Build AI applications using Milvus with LangChain

Who this book is for

This book is for database practitioners looking to get started with Milvus and build their expertise in vector data and vector search. It’s particularly suited for data analysts, data scientists, Milvus developers, system architects, tech enthusiasts, and researchers in vector database technologies. To get the most out of this book, you should have a foundational understanding of Go, Python, or C++, as well as a basic knowledge of database systems. Familiarity with Docker and Kubernetes is recommended.

<p>Created by people, for people!</p><p><strong>AI for Seniors in easy steps</strong> is your friendly, jargon-free guide to understanding Artificial Intelligence (AI) and using it in everyday life. This primer explains what AI is, how it works, the drawbacks, and why it matters – all in easy steps. Discover how AI can help you:</p><li>Use chatbots such as ChatGPT for writing, asking questions, and for everyday tasks.</li><li>Manage your home with smart devices to save time and for easy organization. </li><li>Perfect your photos and videos easily with AI apps. </li><li>Explore apps for music and entertainment. </li><li>Take control of your finances and wellbeing with smart apps. </li><p>Simple, practical, and empowering – giving you full confidence to stay ahead and make AI work for you!</p>

Description
GoldenGate Microservices 23ai is a next-generation data replication platform designed for modern enterprise environments that demand real-time data movement, high availability, and intelligent automation. As organizations increasingly rely on continuous data integration for migrations, upgrades, analytics, and cloud adoption, understanding the architectural and operational advancements of GoldenGate 23ai has become essential for today’s database and platform professionals.

This book will explore core architecture concepts, hub-based deployments, installation and upgrade strategies from 19c, and improved patching workflows. Readers will understand new 23ai features, including the enhanced web interface, expanded microservices architecture, AI integration, and auto conflict detection and resolution.

By the end of this book, readers will be fully equipped to design, deploy, monitor, and automate highly available Oracle GoldenGate Microservices 23ai environments. They will gain the skills Oracleneeded to support mission-critical replication, perform zero downtime migrations, improve operational efficiency, and confidently manage GoldenGate 23ai in both on-premises and cloud-based enterprise landscapes.

Description
Power BI has revolutionized decision-making by turning raw data into actionable insights, making it a critical skill for modern business professionals. Power BI Crash Course is a comprehensive roadmap that helps you build an understanding of Power BI fundamentals through advanced enterprise implementations.

The book begins with foundational concepts, including data connections, Power Query transformations, and data modeling with star schemas. You will progress through advanced DAX calculations, time intelligence functions, and performance optimization techniques essential for professional-grade analytics solutions. This book uses an integrated sales dataset to show how features combine in real-world business intelligence.

By the end of this book, you will be able to master techniques for managing datasets with millions of rows, implementing incremental refresh, and using aggregations for optimal query performance. The comprehensive capstone project will challenge you to build a complete BI solution for a fictional retail company, integrating all learned skills from data preparation through final deployment.

Description
Embedded software differs from PC software because it is part of a product rather than the product itself, and its tasks range from automotive control units and industrial machines to life-sustaining medical devices. Testing embedded software requires understanding its unique challenges, including real-time behavior and hardware integration.

Readers will learn how to apply requirements engineering, ensure requirements traceability, and perform automated static analysis alongside professional code reviews. The book covers black-box testing techniques, unit tests, and integration tests to verify hardware/software interaction and system performance, helping readers navigate RTOS, middleware, and concurrency issues. It also shows how AI-based techniques are entering the field of embedded testing.

By the end of this book, readers will be equipped to design, implement, and manage testing strategies for both low and high-integrity embedded software. They will develop a comprehensive understanding of the essentials of test management, quality management standards like ISO 9001, and CMMI. The exercises and solutions will be valuable in gaining the skills needed to tackle complex testing challenges.

Description
Data is now the fuel of every industry, from healthcare and automotive to smart homes and AI-powered services. As connected devices, cloud platforms, and machine learning spread everywhere, privacy and security risks silently grow alongside innovation.

Guided by real-world scenarios, the book moves from the origins of data privacy and regulatory frameworks to practical data classification, anonymization, and masking techniques you can implement. You will learn how automation, AI, and ML interact with privacy; how blockchain can both enhance and endanger data protection; how to secure IoT ecosystems and healthcare data; and how to manage privacy in automotive and smart mobility, including attack tools such as Flipper Zero. Finally, you will build a unifying privacy framework that ties together standards, governance, and hands-on controls across all these domains.

By the end of this book, readers will be able to analyze and classify data, design and evaluate privacy controls. They will be equipped to translate privacy principles into concrete architectures, policies, and safeguards that make a measurable difference in their daily work, whatever their sector.

Description
In the current digital era, data integration is the backbone of actionable insights and informed decision-making. As organizations grow across cloud and hybrid ecosystems, the ability to design secure, robust, and scalable pipelines has become essential for driving innovation, compliance, and operational efficiency. This book is a practical guide designed to help you bridge the gap between fragmented data sources and a unified, scalable ecosystem.

This guide covers the entire data integration lifecycle, beginning with core ETL/ELT concepts and data mesh architectures. You will progress from data profiling and modeling to building production-ready pipelines using AWS Glue, Azure Data Factory, and Apache NiFi. The book explores real-time streaming with Kafka and Kinesis, workflow orchestration via Airflow, and real-world applications in sectors like banking and healthcare. Finally, you will master DataOps essentials, including CI/CD with Terraform, IAM security, PII masking, and Prometheus monitoring, to ensure robust data governance and reliability.

By the end of this book, readers will be equipped to design and manage production-grade data pipelines that are resilient, auditable, and future-ready. They will gain practical skills in data pipeline orchestration, solution architecture, DevOps, governance, security, and observability, empowering them to deliver trusted end-to-end data solutions and lead enterprise transformations in the age of data-driven innovation.

Description
In the dynamic digital landscape, the importance of secure software cannot be overstated. This book is a complete, easy-to-follow roadmap for creating safety in every single step of the development process.

The book starts with a foundational analysis of the state of secure software, establishing the groundwork for strategic planning and the adoption of a Zero Trust paradigm. Learn how to implement practical strategies, from DevSecOps principles to continuous security integration, ensuring a resilient security posture. Explore the integration of cutting-edge technologies such as AI and ML while embracing open-source collaboration. Each chapter presents key takeaways, guiding you through risk-based testing, sustainable development practices, and hands-on practical assignments.

By the end of this book, you will be truly ready to build and manage secure software that meets high industry standards. You will have the vital hands-on skills to fix security problems and protect important data in any modern professional workplace.

Description
DevSecOps is the essential evolution of modern software delivery. This book is your definitive roadmap for mastering the shift, moving beyond theory to implement an automated continuous paradigm that drives measurable business value through VSM, SLAs, and KPIs for any large-scale organization.

The book systematically guides you through the entire DevSecOps journey: You will start by defining the continuous practices, then immediately tackle enterprise scale challenges, applying threat modelling and implementing Zero Trust architecture to ensure comprehensive security. Learn to integrate quality across all nine SDLC phases, establish high-performing hybrid team structures, and leverage open source and the cloud era for speed. The book then accelerates into modern architecture with platform approach, micro-frontends, AI-ML in DevSecOps, and the full integration of SRE (SLOs, toil, observability, AI in SRE). Finally, explore specialized models like AIOps and FinOps, discover emerging trends like Policy as Code, and validate these strategies through real-world enterprise transformation journeys.

By the end of this book, you will not only possess the deep technical knowledge to architect a scalable DevSecOps ecosystem but also the strategic insight to lead a major cultural and digital transformation. Whether you are a developer, architect, or transformation leader, this book helps you build secure, scalable, and resilient systems.

Description
Artificial intelligence systems today are driven by data at unprecedented scale. As machine learning, real-time inference, and generative AI reshape industries, organizations need robust big data platforms to ingest, process, and operationalize vast and complex datasets. Big data has become the backbone of modern AI systems, making data engineering skills essential for professionals across technology, analytics, and AI roles.

This book provides a practical guide to designing and building data platforms that power AI applications. It covers core big data technologies such as Hadoop, Spark, Kafka, NoSQL, and cloud data platforms, then connects them to the AI lifecycle, including data ingestion, feature engineering, scalable model training, real-time inference, and MLOps. Real-world use cases across finance, healthcare, e-commerce, and autonomous systems demonstrate how these technologies work together in production environments.

By the end of this book, the readers will be equipped to design end-to-end big data pipelines, support scalable AI and ML workloads, and extract insights from data at any velocity or volume. Whether you are a data engineer, ML practitioner, or architect, this book prepares you to build and operate AI-ready data systems with confidence.

Description
Artificial intelligence is reshaping modern industries, but building scalable and reliable AI systems requires more than models, rather it needs strong platforms, automation, and data-driven insights. This book addresses that critical gap by exploring the AI ecosystem through foundational architecture and infrastructure automation.

This book provides an in-depth knowledge of designing and building operating platforms that supportAI initiatives, covering data pipelines, model lifecycle management, infrastructure engineering, and operational best practices. Each chapter integrates core technical concepts and introduces generative AI, LLMs, and agentic protocols, backed by real-world case studies in healthcare and content moderation, supporting secure and cost-aware AI systems.

After reading this book, readers will gain the knowledge and foundational skills to design and build AI platforms that optimize development workflows and embrace automation. This expertise prepares the readers to lead AI-driven initiatives and deliver measurable business impact in any modern organization.

Description
In today's era of microservices and cloud-native systems, software teams face mounting complexity. As digital transformation accelerates, the gap between business needs and technical implementation widens, causing costly miscommunications and irreversible decisions. Domain-Driven Design (DDD) provides the strategic and tactical tools to tackle this complexity and develop software that accurately reflects its domain.

This guide connects high-level strategy with technical implementation, providing a clear path for anyone looking to build better systems through the Synergetic Blueprint. It covers key concepts such as ubiquitous language and Bounded Contexts, architectural patterns like anti-corruption layer and CQRS, and collaborative workshops including Event Storming and Domain Storytelling. Each method provides facilitation guidance, visual tools like Context Maps and API Product Canvas, and examples of AI integration. Designed as the practical companion to Mastering Domain-Driven Design, this reference organizes essential DDD methods into an accessible guide for daily practice.

After reading this book, you will gain the confidence to facilitate domain modeling sessions, make well-informed architectural decisions, and apply DDD effectively in real projects, becoming a skilled architect and strategic collaborator who tackles complex domains with clarity. You will possess the practical skills to bridge the gap between business goals and technical reality using modern tools and AI.

Description
System design is the fundamental backbone of modern softwareensuring reliability under heavy pressure. This book serves as your essential guide to turning basic code into resilient, professional-grade distributed systems that power today’s digital world.

This book systematically leads you through core scalability principles, comparing vertical and horizontal scaling while optimizing performance through latency and throughput metrics. You will master database design by exploring SQL, NoSQL, and sharding strategies. This book provides the details of microservices using REST, gRPC, and GraphQL, alongside critical security protocols like OAuth and JWT to protect your infrastructure. You then apply these components to build real-world projects, including WhatsApp-style chat systems, URL shorteners, and scalable notification engines, before concluding with production best practices, monitoring, and AI trends.

By the end of this book, you will possess the technical confidence to architect high-concurrency applications and ace system design interviews. You will be fully equipped to design, secure, and scale enterprise-level solutions that handle millions of users with ease.

Description
The most influential libraries in modern AI, Hugging Face Diffusers has become one of the key powering breakthroughs in text-to-image generation, reinforcement learning, and large-scale inference pipelines. This book bridges theory and real-world implementation, enabling readers to translate complex AI concepts into scalable, production-ready solutions.

This book offers a comprehensive, practical, and academic exploration of the diffusers ecosystem, beginning with foundational concepts of the Hugging Face library, progressing to multimodal diffusion, schedulers, RL algorithms (DQN, A3C, AlphaZero), and real-world deployment patterns across cloud platforms. Each chapter offers hands-on examples, design insights, and conceptual explanations that guide you from fundamentals to production-grade workflows.

By the end of this book, readers will have the skills to build, train, evaluate, and deploy state-of-the-art diffusion models and reinforcement learning agents, while applying ethical and responsible AI practices across their work.

Description
Java is the backbone of modern enterprise software, and mastering its logic is the first step toward becoming a professional developer. This book offers a selection of curated questions, ranging from foundational topics to advanced programming concepts.

The book begins with simple loops like for, while, and do-while before tackling file operations, logging, and I/O exceptions. Each chapter focuses on solving problems within a specific area of programming, allowing readers to practice, analyze, and upskill. The difficulty progressively increases as the readers learn to solve problems using basic data structures, arithmetic, and regular expressions. Finally, the book covers topics like data sorting, graphics, and complex data structures.

By the end of this book, you will be competent in applying decision constructs to diverse programming challenges and possess a solid understanding of algorithmic efficiency. Through hands-on experience and real-world problems, this book ensures that learners develop the problem-solving skills necessary for success as a software developer.

Description
Linux is a powerful and versatile operating system that is widely used across various fields, from personal computing to enterprise-level server management. This book is designed as a practical, hands-on guide that simplifies complex system administration into manageable steps for beginners and aspiring professionals.

The book explains relevant concepts like sticky bits, system performance tuning, and Android log analysis directly within the workflow. It covers fundamental commands, file management, process control, package management, shell scripting, and essential networking tools. Each chapter is designed using practical examples and hands-on exercises to reinforce learning. By moving through areas like security, text processing, and mobile debugging, you will build a solid technical foundation through active practice.

By the end of this book, you will be a competent Linux user capable of managing servers, automating workflows, and troubleshooting hardware with professional confidence. You will possess the practical skills needed to navigate any distribution and bridge the gap between desktop Linux and Android mobile development.

Description
Excel is a powerful tool for data management and analysis, and mastering its tools is vital for anyone aiming to boost productivity in a data-driven world. This book is designed to help you master Excel’s vast capabilities, guiding you from fundamental skills to advanced techniques for data analysis, visualization, and data management.

In the beginning, we cover basics like data entry, formatting, essential formulas, sorting, filtering, using tables, handling duplicates, and visualizing data with charts. Then, we dive into PivotTables, cleaning and transforming data, managing large datasets, named ranges, Excel shortcuts, templates, sharing and protecting data, and handling errors. You will learn modern Office 365 features, including the PY function for Python integration and Microsoft Copilot for AI-powered prompting.

By the end of this book, you will be well-equipped to transform raw data into professional dashboards and possess a practical understanding of advanced Excel logic. You will become confident in Excel skills to analyze data, optimize workflows, and create compelling reports, making this book your essential guide to mastering Excel.

Description
Modern web applications are expected to be fast, secure, and easy to use. Django and Vue make a solid combination for building everything from internal dashboards to customer-facing products. This book shows you how to use them together in a clear, end-to-end development workflow.

This book guides you from a blank project to a deployed app by building an LMS step-by-step. You will set up a Django backend, build REST APIs, and hook them up to a Vue frontend with routing, state management, forms, and authentication. This book scales up with interactive dashboards, real-time notifications via Django Channels and WebSockets, and a full suite of unit and integration tests. Finally, you will improve performance using caching and lazy loading, then package everything into Docker and Kubernetes for cloud deployment.

By the end of the book, you will be able to take a full-stack application from idea to deployment with Django and Vue. You will know how to design APIs, build interactive UIs, secure, and ship a production app that is ready to grow. You will also possess a practical portfolio piece and the technical skills to handle complex web development challenges in any real-world setting.

Description
Modern organizations rely on data pipelines to transform raw, continuously generated data into timely and reliable insights. As data volume, velocity, and complexity grow, engineers must design systems that support real-time processing, scalability, governance, and operational reliability. Understanding how these pipelines work has become essential for building data-driven products and platforms.

This book provides an end-to-end view of modern data pipeline engineering. It is designed as a practical roadmap that bridges the gap between complex theory and real-world practice for aspiring engineers. It begins with an overview of pipeline objectives and essential ETL/ELT concepts before setting up your technical environment. Readers learn core data engineering principles, pipeline design patterns, ingestion techniques, data processing and transformation strategies, and storage choices. Later chapters focus on data quality, governance, security, real-time processing, orchestration, and monitoring.

By the end of this book, readers will be equipped to design, build, and operate production-ready data pipelines with confidence. They will gain the skills needed to make informed architectural decisions, handle real-world data challenges, and build scalable, reliable systems that support analytics and business decision-making.

Description
Retrieval-augmented generation (RAG) has emerged as a critical technology in an era where organizations rely on accurate, context-aware AI systems. As LLMs expand across industries, RAG enables teams to build solutions that are more trustworthy, factual, and aligned with real-world knowledge, making it an essential skill for modern engineers, analysts, data scientists, and software developers.

This book provides a comprehensive, hands-on guide to master RAG with Python. It begins with the foundations of embeddings, vector databases, and retrieval pipelines, moving into prompt engineering, hybrid search strategies, and prompt engineering strategies, like chain-of-thought and MapReduce to enhance response quality. It then covers evaluation, optimization, and agentic workflows. Each chapter delivers clear explanations that help you preprocess data, build scalable pipelines, integrate LLMs, automate reasoning, and deploy end-to-end RAG systems tailored to real-world use cases.

By the end of this book, readers will be able to design, implement, and optimize robust RAG solutions with confidence. They will gain the skills to build retrieval-aware applications, enhance enterprise workflows, develop intelligent agents, and apply industry-proven techniques that directly strengthen their professional capabilities.

Description
FinOps has revolutionized how businesses manage the cloud, shifting from a fixed cost mindset to a dynamic, variable spending model that requires constant oversight. This book is your professional roadmap, designed to help you balance financial accountability with technical agility.

This book systematically guides you through the FinOps lifecycle, beginning with core frameworks, governance, and an understanding of complex cloud billing and meters. It will help readers grasp the logic and discipline of cost controls in a multi-cloud environment, addressing the main cloud providers, AWS, Azure, and GCP, and providing practical examples and guidelines for a successful FinOps practice. Finally, the book focuses on building a collaborative culture between finance and engineering, using unit economics and KPIs to measure long-term success.

By the end of this book, readers will have a clear understanding and control of their FinOps practice across multiple public cloud environments, and full control of their cloud spend, ready to lead financial transformation in any modern organization.

Description
Excel is a powerhouse for modern analytics, bridging the gap between raw data and strategic action. Beyond simple spreadsheets, its true potential lies in complex business modeling, data preparation, and advanced computation. By mastering the Analysis ToolPak, Solver, and dynamic visualizations, users can transform static rows into a responsive platform that uncovers the why behind the numbers.

This book provides a comprehensive, step-by-step roadmap for students and professionals alike. The journey begins with data cleaning and essential functions before diving into sophisticated modeling. You will explore high-level capabilities, including PivotTables, What-If Analysis, and correlation methods. It also bridges the gap into predictive analytics, teaching you how to use regression, time series analysis, and Excel’s Forecast Sheet to anticipate trends and model future scenarios.

By the end of this book, readers will move beyond basic data entry to become proficient analysts capable of solving complex problems. You will be equipped to optimize performance and lead with confidence. This book ensures you do not just use Excel, you harness it to drive the smarter, data-backed decisions that provide a clear competitive advantage in any industry.

Description
Modern cloud environments demand infrastructure that is scalable, secure, and consistently deployable across providers. Terraform has become the industry-standard tool for infrastructure as code, allowing teams to manage resources across AWS, Azure, and Google Cloud with a unified, declarative approach. However, moving Terraform from experimentation to production requires more than basic configurations.

This book takes a hands-on, recipe-driven approach to Terraform, guiding readers through real-world infrastructure automation scenarios. Featuring more than 100 recipes, each chapter provides focused, practical solutions to specific infrastructure challenges, followed by a dedicated Chef’s Special project. These enterprise-grade projects are a unique feature, integrating multiple concepts into complete, production-scale architectures to help readers build reliable, secure, and maintainable systems.

By the end of this book, the readers learn how to validate and test Terraform configurations, integrate infrastructure as code into CI/CD pipelines using tools such as GitHub Actions and Jenkins, and apply static analysis and security scanning with TFLint and Checkov. The readers will be able to design, test, and deploy production-ready infrastructure using Terraform with confidence, applying practices that meet real-world operational, security, and compliance requirements.

Description
Digital transformation and AI are no longer just industrial terms; they are the core drivers of the modern economy. This book is your roadmap to navigating this shift by aligning vision with technology for lasting growth. It simplifies complex concepts into actionable steps, helping you lead with purpose and clarity in an automated world.

The book systematically guides you through a successful digital journey. It begins with building solid strategies and using data for decision intelligence and market advantage. You will learn to bridge vision and execution via web applications and multi-channel tactics before exploring B2B and B2C models. The book explores the psychology of change, stakeholder alignment, and AI-enhanced project management. This book bridges the gap between complex technical concepts and real-world impact, helping you turn data into a powerful currency for innovation.

By the end of this book, readers will have an in-depth understanding of business strategy, digital transformation, and the role of AI in growth and sustenance. It will equip readers to become the new age program leaders, with practical change management skills and the use of AI tools.

Depuis près de 70 ans, l'intelligence artificielle a suscité de nombreux fantasmes, des craintes et des attentes, souvent influencés par la science-fiction, mais en décalage avec la réalité technique. Ce livre examine le périmètre de l'intelligence artificielle, les évolutions majeures qu'elle a connues, ses succès retentissants et ses échecs flagrants. Cet ouvrage vise à démystifier l'IA pour discuter objectivement de ses forces et de ses faiblesses. Il permet au lecteur de mieux comprendre les usages modernes de cet outil. En mêlant volontairement usages, technique, éthique, réglementation et régulation, les questions posées mettent en avant les avancées majeures du domaine au long de ces dernières années, les usages positifs et ceux qui interrogent : quelles sont les conditions d'acceptabilité de ces algorithmes et leur impact sur la société, mais aussi dans votre entreprise ? Ce livre est organisé en 6 parties qui suivent les étapes du développement d'un système d'IA : une introduction générale, l'éthique et les risques, la conception et des cas d'usage, la modélisation et l'entraînement des modèles neuronaux, l'évaluation de ces modèles et, enfin, le déploiement, l'exploitation et l'explicabilité de ces modèles. Si nous attendons aujourd'hui de l'IA qu'elle nous apporte des réponses, c'est toujours à l'humain de choisir les bonnes questions… et de vérifier les résultats souvent imparfaits de ces machines. Chef·fe·s d'entreprise, juristes, data scientists, développeur·se·s ou utilisateur·rice·s d'applications mobiles, spécialistes en informatique ou expert·e·s métier, ce livre est une occasion de construire un langage commun autour de l'IA et de permettre à tous les corps de métiers de communiquer… sans artifice !

Notre monde se trouve dans un contexte complexe et incertain concernant la sécurité de l'information (cyberattaques, défaillance, menaces, vol de données) et l'émergence de l'IA générative provoque encore plus d'interrogation. Pour ne plus avoir la sensation d'être pris de vitesse par rapport à toutes ces évolutions et mettre en place de réelles solutions, ce livre propose de décrypter le texte normatif de l'ISO/IEC 27001 - Sécurité de l'information, cybersécurité et protection de la vie privée et de présenter les bonnes pratiques opérationnelles qui en découlent. Pour y parvenir, cet ouvrage s'appuie sur une méthode qui intègre : - la vraisemblance évaluée par niveaux : invraisemblable, peu vraisemblable, vraisemblable, très vraisemblable, pratiquement certain ; - les conséquences évaluées par degrés : mineures, significatives, graves, critiques, catastrophiques. Cette démarche et les nombreux exemples de terrains qui s'y rapportent vous guident pour construire un système de management de la sécurité de l'information (SMSI) opérationnel. Cet ouvrage, véritable guide à suivre pour la mise en place et l'amélioration du SMSI dans votre organisme, vous prépare à passer l'audit de certification avec succès. Pratique et simple d'accès, ce livre est un véritable sésame pour ceux qui souhaitent développer la culture « risques » et déployer un SMSI performant au sein de leurs structures.

Create photorealistic 3D environments in Blender 5 using real-world references and proven workflows for modeling, texturing, UV unwrapping, lighting, and natural asset creation, including plants, rocks, water, and flowers Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Step-by-step Blender 5 workflows to build photorealistic environments
• Create plants, rocks, water, and flowers using Blender tools, UV unwrapping, and efficient texturing
• Produce high-quality renders with physically accurate lighting, Cycles rendering, HDRIs, and modern color management

Book Description

What you will learn

• Work from 2D images to create realistic 3D models in Blender 5
• Identify and fix common modeling and scale issues
• Create realistic materials with effective texturing and UV unwrapping
• Apply node-based techniques to create and distribute plants in scenes
• Create and animate realistic water and procedural materials
• Design photorealistic landscapes using Blender's environment tools
• Light scenes realistically using Cycles, HDRIs, and color management
• Finalize environments with rendering and compositing workflows

Who this book is for

This book is ideal for aspiring 3D environment artists, game designers, and CG visualizers who want to create photorealistic natural environments in Blender 5. This guide will help you improve realism through practical modeling, texturing, lighting, and environment-building workflows. It’s suitable for readers already familiar with Blender's interface and eager to improve realism for game development, CGI, or visualization projects.

14 PROJETS POUR DÉCOUVRIR JAVASCRIPT !

Vous souhaitez apprendre à coder en JavaScript, le langage qui rendra vos pages web interactives et dynamiques ? C’est justement l’objet de cet ouvrage qui vous guidera pas à pas dans la création de 14 projets concrets que vous pourrez intégrer à n’importe quel site Internet. Vous y découvrirez aussi la méthodologie à suivre pour décomposer votre code en microétapes et anticiper son écriture. De nombreuses cartes mentales vous accompagneront tout au long de votre lecture pour visualiser les bons outils JavaScript à utiliser. Enfin, sur le site compagnon de l’ouvrage, vous trouverez les fichiers sources des 14 projets ainsi qu’un forum pour échanger, poser des questions et suivre l’actualité JavaScript.

VOUS APPRENDREZ NOTAMMENT À :

• utiliser la méthode des 3S pour structurer vos programmes
• récupérer les données de vos visiteurs
• utiliser des API (Application Programming Interface)
• et la nouveauté de cette 2e édition : intégrer les outils d’IA avec Mistral

À qui s’adresse ce livre ?

• Aux débutantes et débutants en JavaScript
• Aux développeuses et développeurs web

Advance your career by mastering key .NET tools and skills, including debugging, source code management, testing, cloud native development, multitasking, and more

Key Features

• Coverage of key .NET tools and skills, including refactoring, source code management, debugging, and more
• Practical guidance on using code editors effectively and implementing good practices
• Explore cutting-edge techniques like cloud native development with Aspire and containerization
• Free with your book: DRM-free PDF version + access to Packt's next-gen reader

Book Description

What you will learn

• Make the most of code editor tools for efficient development
• Explore advanced debugging techniques and troubleshooting strategies
• Understand how to protect data and applications using cryptography
• Build responsive, high-performance projects using multitasking and concurrency
• Discover how to master dependency injection
• Optimize performance through benchmarking and testing
• Delve into cloud-native development using Aspire
• Advance your career with advice on job readiness and interviews

Who this book is for

This book is for .NET professionals seeking to enhance their expertise, as well as aspiring developers aiming to advance their careers in the field. This book caters to individuals eager to master essential .NET tools, refine their development practices, explore advanced techniques and cutting-edge tools, and prepare themselves for job opportunities and interviews in the competitive landscape of .NET development.

Level up your TypeScript skills with practical techniques for writing robust, maintainable, and modern web applications Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Apply clean code to create maintainable, high-quality TypeScript applications.
• Leverage TypeScript’s type system for expressive, self-documenting code.
• Architect scalable systems that grow across teams and codebases.
• Purchase of the print or Kindle book includes a free PDF eBook.

Book Description

What you will learn

• Master types, configuration, and foundational TypeScript concepts
• Apply clean code principles for better readability and consistency
• Implement classes, inheritance, and interfaces in TypeScript
• Work with interfaces, generics, and advanced types for flexible code
• Apply unit testing, integration testing, and test-driven development
• Handle errors effectively and use debugging tools in TypeScript
• Identify bottlenecks and apply performance optimization techniques
• Build applications with TypeScript in Next.js and Node.js

Who this book is for

The book is for JavaScript developers who want to master TypeScript to build scalable and maintainable applications. Frontend, backend, and full-stack developers, as well as software architects looking to leverage TypeScript for robust application design, will find practical value in this book. A basic understanding of JavaScript, including ES6+ features, functions, and asynchronous programming is assumed. Although not required, familiarity with TypeScript fundamentals, OOP principles, and Git is helpful.