ScholarVox International OFPPT : Nouveautés : NTIC http://ofppt.scholarvox.com <![CDATA[ La méthode PRINCE2 v7 : Version 7 et compléments PRINCE2 Agile Ed. 4 ]]> http://ofppt.scholarvox.com/catalog/book/88981446 Editeur : Dunod

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®.
 

]]> 2026-07-15T08:00:02.113 <![CDATA[ Learn T-SQL from Scratch : A beginner’s guide to T-SQL querying, SQL Server development, performance tuning, and deployment (English Edition) Ed. 2 ]]> http://ofppt.scholarvox.com/catalog/book/88981512 Editeur : BPB Publications

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

]]> 2026-07-15T08:00:02.113 <![CDATA[ Time Series with PyTorch : Modern Deep Learning Toolkit for Real-World Forecasting Challenges ]]> http://ofppt.scholarvox.com/catalog/book/88980943 Editeur : Packt Publishing

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

Neural networks are powerful tools for time-series forecasting, but applying them effectively requires both practical experience and a clear understanding of architectures, training strategies, and evaluation methods. This book brings these ideas together in a structured and practical way. Starting with PyTorch fundamentals, you will build neural networks from scratch and progress through recurrent networks, attention mechanisms, and transformers before exploring forecasting architectures such as N-BEATS, N-HiTS, and the Temporal Fusion Transformer. Along the way, you will learn robust hyperparameter tuning, conformal prediction for uncertainty estimation, and reliable evaluation practices. Unlike most forecasting books, this text also explores topics often overlooked or treated separately, including transfer learning across collections of series, synthetic data generation with diffusion models, and self-supervised representation learning. Beyond forecasting, later chapters cover classification, clustering, anomaly detection, and embeddings for large-scale time-series modeling. Throughout, the focus is pragmatic: theory is reinforced through experimentation and implementation so you can apply these methods confidently to real-world time-series problems.

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.

]]> 2026-07-08T08:00:03.223 <![CDATA[ 50 ML Projects To Understand LLMs : Investigate transformer mechanisms through data analysis, visualization, and experimentation ]]> http://ofppt.scholarvox.com/catalog/book/88981238 Editeur : Packt Publishing

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

Through 50 hands-on, guided projects solved in Python, you will investigate the internal mechanisms of large language models by treating their hidden states, attention patterns, and embeddings as data to analyze. Rather than accepting LLMs as black boxes, you will open them up, examine what's inside, and run experiments to understand why they behave the way they do. All projects are based on Python (using libraries such as NumPy, PyTorch, statsmodels, scikit-learn, Matplotlib, Pandas, and Seaborn) and come with full solutions and partial solution notebook files, so you can practice and improve your skills in data science, deep learning, data visualization, and scientific and statistical coding.

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.

]]> 2026-07-08T08:00:03.223 <![CDATA[ Flutter : Devenez expert du développement mobile Ed. 1 ]]> http://ofppt.scholarvox.com/catalog/book/88981242 Editeur : Eyrolles

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.

]]> 2026-07-08T08:00:03.223 <![CDATA[ Anti-manuel de cybersécurité : Voir clair dans le brouillard cyber ]]> http://ofppt.scholarvox.com/catalog/book/88981245 Editeur : Gereso

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.

]]> 2026-07-08T08:00:03.223 <![CDATA[ Python Data Analysis : Master Python Analytics with Machine Learning, Deep Learning, GenAI, LLMs, and Data Engineering ]]> http://ofppt.scholarvox.com/catalog/book/88981342 Editeur : Packt Publishing

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

Modern data analysis goes beyond cleaning and visualizing data. Today's practitioners need to build scalable data pipelines, apply machine learning, work with text and image data, and understand emerging AI techniques such as Generative AI and Large Language Models (LLMs). This guide shows you how to tackle these challenges using Python's modern data ecosystem. Unlike books focused on a single library or technique, this book provides an end-to-end approach to Python data analysis. You'll learn how to move from data preparation and exploratory analysis to machine learning, NLP, image analytics, scalable processing, and AI-powered workflows. Starting with statistical foundations, you'll learn how to clean, transform, wrangle, and visualize data. You'll then explore time series analysis, signal processing, forecasting, and predictive analytics before applying machine learning techniques such as regression, classification, clustering, PCA, probabilistic methods, and Bayesian approaches. The book also covers graph analytics, sentiment analysis, NLP, image analytics, Generative AI, and LLMs. Finally, you'll learn to scale analytics workflows using Dask, Modin, Ray, and PySpark. By the end of the book, you'll be able to build end-to-end data analysis pipelines and apply modern data science and AI techniques to solve real-world challenges.

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.

]]> 2026-07-08T08:00:03.223 <![CDATA[ Microsoft Security Operations Analyst Exam Ref SC-200 Guide : Achieve SC-200 Certification with Real-World Microsoft Security Operations Insights ]]> http://ofppt.scholarvox.com/catalog/book/88981344 Editeur : Packt Publishing

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

As cyber threats continue to evolve, the demand for security analysts who can effectively detect, investigate, and respond effectively is higher than ever. Earning the SC-200 certification validates these in-demand skills—but preparing for the exam can be overwhelming without structured guidance. This exam guide simplifies complex security concepts to help you master Microsoft security technologies and take the SC-200 exam with confidence. Through real-world scenarios, hands-on labs, and expert insights, this book provides a practical, exam-focused approach to learning. You’ll explore threat detection, incident response, and proactive threat hunting while gaining in-depth knowledge of Microsoft Defender XDR’s integrated security capabilities, Sentinel’s SIEM and SOAR functionalities, and Defender for Cloud’s proactive protection measures. What’s more, it includes mock exams, practice questions, and exam tips to reinforce learning and enhance your exam readiness. By the end of this book, you’ll be able to apply Microsoft security best practices in real-world environments, analyze security incidents, implement detection strategies, and enhance security operations using Microsoft’s cutting-edge security tools—everything you need to become a certified Microsoft Security Operations Analyst.

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.

]]> 2026-07-08T08:00:03.223 <![CDATA[ Systems Programming with Zig : Build Real Tools with No Hidden Cost ]]> http://ofppt.scholarvox.com/catalog/book/88981348 Editeur : Packt Publishing

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

Build reliable systems software with Zig through a project-driven approach focused on practical engineering challenges. Guided by UNIX systems engineer & bestselling author Mihalis Tsoukalos, you will learn modern systems programming techniques while creating production-ready applications, UNIX tools, & network services. This book takes you from essential UNIX tooling and build infrastructure to advanced topics such as direct memory access, binary formats, filesystem monitoring, networking, concurrency, asynchronous I/O, & database integration. Through hands-on projects, you will create command-line utilities, TCP and UDP services, HTTP applications, file indexing tools, cache servers, & a domain-specific language interpreter that combines memory management, comptime metaprogramming, parsing, evaluation, & error handling. Each chapter demonstrates how Zig features solve practical systems programming problems. You will work with memory management, process control, synchronization primitives, event-driven architectures, SQLite integration, protocol design, & performance-focused data structures while learning the reasoning behind key engineering decisions. By the end of this book, you will be able to build efficient and maintainable systems software in Zig & confidently apply the language to production projects.

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.

]]> 2026-07-08T08:00:03.223 <![CDATA[ Angular Projects : Learn Angular by building 10 real-world, enterprise web apps and projects ]]> http://ofppt.scholarvox.com/catalog/book/88981350 Editeur : Packt Publishing

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

Angular has evolved toward faster delivery, server rendering, and an enhanced developer experience. This book shows what that looks like in practice. Each project reflects how real teams work: forms, routing, data, and the small choices that make an app feel finished. You will build with just enough tech to matter: signals, template-driven and reactive forms; PrimeNG, Angular Material, and Telerik UI; Google Maps; drag-and-drop; and desktop features. You will also wire up backend NestJS with MongoDB, Firebase services, and email notifications, then improve delivery with SSR and SSG and focused Core Web Vitals improvements. Guided by Aristeidis Bampakos, a Google Developer Expert for Angular and an experienced team lead, you will learn practical patterns you can apply right from the get-go. By the end, you will not just “know” Angular. You will think like a front-end engineer who can deliver, portfolio in hand, job-ready and confident to level up in your current role.

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.

]]> 2026-07-08T08:00:03.223 <![CDATA[ Mastering Distributed Observability in Rust : Implement OpenTelemetry in a real-world, multi-container e-commerce architecture ]]> http://ofppt.scholarvox.com/catalog/book/88981352 Editeur : Packt Publishing

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

Gain the skills to build, monitor, and debug distributed systems in Rust with this hands-on guide to observability using OpenTelemetry. As Rust adoption grows in backend services, developers face fragmented documentation and limited tooling for telemetry. This book fills that gap by presenting a unified, end-to-end solution to implement distributed observability in modern Rust systems. You’ll explore the foundations of observability and Rust’s ownership model before learning how to collect, export, and correlate logs, metrics, and traces. Discover how to instrument applications using OpenTelemetry crates and bridge them with the tracing ecosystem. Learn to deploy the OpenTelemetry Collector, integrate with Prometheus, Grafana, and Jaeger, and tackle challenges like sampling, context propagation, and async tracing. Written by two seasoned engineers with over 35 years of combined experience in large-scale systems and open-source observability leadership, this book balances theory with real-world implementations. From debugging async bottlenecks to configuring cost-effective telemetry pipelines, you’ll finish with the confidence to operate reliable, observable Rust systems at scale.

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.

]]> 2026-07-08T08:00:03.223 <![CDATA[ Algorithmic Short Selling with Python : Strategies, signals, and risk management techniques for profitable short trades ]]> http://ofppt.scholarvox.com/catalog/book/88981353 Editeur : Packt Publishing

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

Algorithmic Short Selling with Python, Second Edition is a practical guide to building, testing, and managing systematic short-selling strategies in today's markets. Structured around the core challenges every short seller faces, the book provides a framework for continuously generating long/short ideas, identifying bullish/bearish market regimes, detecting sector rotation ahead of consensus, constructing robust long/short portfolios, and managing the unique risks of the short side. Through real-world examples and working Python code based on S&P 500 data, readers learn how to develop quantitative strategies that address position sizing, crowded trades, portfolio exposures, and capital allocation across changing market conditions. The book also explores advanced topics such as relative strength analysis, fractals, convexity, long/short portfolio management, asset allocation, and the use of AI-powered trading journals to uncover the behavioral patterns that influence trading decisions. Every concept is supported by implementation, bridging the gap between theory and execution. Expanding on the first edition, this updated version transforms ideas into fully coded solutions, providing readers with the tools to design, evaluate, and deploy systematic short-selling strategies with confidence, discipline, and consistency.

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.

]]> 2026-07-08T08:00:03.223 <![CDATA[ Building AI-Powered Apps with Angular : Hands-on guide to creating agentic Angular apps with Google AI and Gemini models ]]> http://ofppt.scholarvox.com/catalog/book/88981354 Editeur : Packt Publishing

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

In Building AI-Powered Apps with Angular, you'll embark on an end-to-end journey to revolutionize web development with artificial intelligence. This hands-on guide shows you how to integrate cutting-edge AI capabilities, particularly Large Language Models (LLMs) like Google Gemini and multimodal agents, directly into your Angular applications. Starting with AI/ML fundamentals and an introduction to Google Gemini using Node.js, you’ll quickly progress to building sophisticated AI features within your Angular frontend. You’ll create dynamic content, design intelligent multi-turn chat interfaces, and harness multimodal AI to analyze and generate rich media such as images and videos. The journey extends beyond the frontend. You’ll build robust backends with Angular Server-Side Rendering and Genkit, enabling seamless communication with AI models. You’ll also implement advanced search capabilities using Retrieval Augmented Generation (RAG) and Firestore and learn how to deploy your AI-powered Angular app to the cloud. By the end of the book, you'll have the skills to design, develop, and deploy innovative and intelligent Angular applications that leverage the full potential of AI.

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.

]]> 2026-07-08T08:00:03.223 <![CDATA[ Zephyr RTOS Cookbook : Build portable and scalable embedded systems through hands-on recipes ]]> http://ofppt.scholarvox.com/catalog/book/88981355 Editeur : Packt Publishing

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

Adopting Zephyr RTOS can feel very different from working with bare-metal systems, traditional RTOSes, or embedded Linux. Instead of tightly coupled board-specific code, Zephyr follows a platform-oriented approach built around reusable components, standardized subsystems, and configuration-driven behavior. This shift can be unfamiliar at first, especially for developers moving to Zephyr for real-world products. Zephyr RTOS Cookbook is a recipe-led guide designed to help you make that transition with confidence. Rather than treating Zephyr as just a kernel, the book shows how to work with it as a complete platform. You’ll learn how to structure projects using West-managed, multi-repo workspaces, enable and customize system features with Kconfig, and describe hardware cleanly using devicetree to keep applications portable across boards. Each recipe focuses on a practical task you’ll encounter when building Zephyr-based systems, from integrating drivers and subsystems to reasoning about initialization order, device availability, and permissions at runtime. By the end of the book, you’ll be able to develop maintainable Zephyr applications, adapt them to different hardware configurations, and confidently scale your codebase across projects and teams.

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.

]]> 2026-07-08T08:00:03.223 <![CDATA[ The Ultimate AI Guide for Linux Engineers : A Hands-On Guide to Agentic AI, LLMs, and Cloud-Native Automation for Linux Infrastructure Teams ]]> http://ofppt.scholarvox.com/catalog/book/88981356 Editeur : Packt Publishing

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

Unlock the power of artificial intelligence to transform Linux infrastructure and operations. The Ultimate AI Guide for Linux Engineers is a practical, hands-on handbook for applying AI to real-world Linux systems. You will demystify AI, machine learning, and large language models (LLMs) in practice, prepare AI-ready Linux environments for CPU and GPU workloads, and work with containers and essential open-source frameworks such as PyTorch, Hugging Face Transformers, LangChain, and OpenVINO. Moving into real operational use cases, you will build AI agents and agentic workflows to automate system administration, integrate LLMs into monitoring and troubleshooting pipelines, and apply Retrieval-Augmented Generation (RAG) to query logs, documentation, and internal knowledge bases. You will also enhance observability and incident response with intelligent automation. Finally, you will learn how to deploy and scale AI services using Docker, Kubernetes, and cloud-native architectures, implement security and privacy guardrails, and design reliable AI-driven workflows for enterprise Linux environments. By the end, you will have a practical framework to integrate AI into Linux workflows securely and at scale.

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.

]]> 2026-07-08T08:00:03.223 <![CDATA[ Microsoft Foundry in Action : A practical guide to building, monitoring, and governing AI applications using Microsoft's unified AI development platform ]]> http://ofppt.scholarvox.com/catalog/book/88981357 Editeur : Packt Publishing

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

Unlock the full potential of AI with Microsoft Foundry, Microsoft’s unified platform for building, orchestrating, and operating AI solutions at scale. This hands-on guide walks you through the full AI application lifecycle, from data preparation and model selection to deployment, monitoring, and continuous evaluation. Written by Eduardo Sojo, a former Microsoft consultant and current solutions architect at Databricks with over two decades of experience, the book focuses on practical implementation using the latest Microsoft Foundry portal. You’ll learn to design intelligent workflows, build agents, and apply guardrails to ensure safe, reliable AI behavior in real-world scenarios. Rather than focusing only on models, the book shows how to connect workflows, agents, evaluations, and observability so solutions are not just functional, but production-ready. You’ll explore real-world use cases such as building copilots, integrating external systems like Databricks, and creating multi-agent architectures that work with enterprise data. By the end, you’ll be able to design, build, and operate secure, scalable, intelligent AI solutions using Microsoft Foundry.

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.

]]> 2026-07-08T08:00:03.223 <![CDATA[ Learn D3.js : Create Stunning Interactive Web Visualizations with D3.js v7 and Modern JavaScript ]]> http://ofppt.scholarvox.com/catalog/book/88981358 Editeur : Packt Publishing

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

Learn D3.js, Second Edition, is a fully updated guide to building interactive, standards-compliant data visualizations for the web using D3.js v7 and modern JavaScript. Whether you're a developer, designer, data journalist, or analyst, this book will help you master the core techniques for transforming data into compelling, meaningful visuals. Starting with fundamentals like selections, data binding, and SVG, the book progressively covers scales, axes, animations, hierarchical data, and geographical maps. Each chapter includes short examples and a hands-on project with downloadable code you can run, modify, and use in your own work. This new edition introduces improved chapter structure, updated code samples using ES2019 standards, and better formatting for readability. Chapters were completely rewritten to focus on the most important topics first, with suggested exercises after each section, complete with commented solutions and online step-by-step tutorials. All code snippets are drawn from real-world D3 data visualization projects available in a GitHub repository, which also includes bonus content on integrating D3 into applications and migrating legacy code. With its practical approach, this book remains one of the most respected resources for learning D3.js and creating interactive data visualizations with JavaScript.

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.

]]> 2026-07-08T08:00:03.223 <![CDATA[ Web Development with Blazor : A practical guide to building interactive UIs with C# 14 and .NET 10 ]]> http://ofppt.scholarvox.com/catalog/book/88981237 Editeur : Packt Publishing

Master Blazor's evolving render modes, hosting models, and observability features with practical projects and real-world architecture. Build confidently for production with .NET 10 and C# 14

Key Features

  • Dedicated, side-by-side coverage of Blazor render modes without forcing them into a single project
  • Updated for .NET 10 LTS with first-class coverage of .NET Aspire and modern observability
  • Project structures and examples designed around real production constraints, not demos

Book Description

Blazor has grown, and with that growth comes a simple question: How should we build Blazor apps today? This book answers that question by building a real application step by step. We start with what Blazor is, why it is not just WebAssembly, and how the different hosting models fit together. From there, we create components, manage state, build forms with validation, add APIs, secure the app with authentication and authorization, use JavaScript when it makes sense, and test our components with bUnit. We also look at the key aspects of modern Blazor development, including render modes, server-side rendering, WebAssembly, Aspire, OpenTelemetry, debugging, deployment, and how to work with existing sites when starting from scratch is not an option. The goal is not only to copy code but also to understand why we choose one approach over another. Should this be SSR, Server, WebAssembly, or Auto? Where should interactivity live? What changes when the code runs in the browser? We answer those questions without making things more complicated than they need to be. Whether you're new to Blazor or upgrading from an earlier edition, the fourth edition brings the book up to date with .NET 10, Aspire, tracing, metrics, testing, and modern Blazor app development. Own a raccoon cover already? The collection must continue. The raccoons insist.

What you will learn

  • Understand how Blazor works and when to use each render mode
  • Build simple and advanced Blazor components with confidence
  • Structure applications to separate concerns and support multiple hosting models
  • Implement authentication and authorization using modern .NET patterns
  • Improve performance with caching and rendering optimizations
  • Use OpenTelemetry to gain insights into application behavior and performance
  • Build, run, and manage applications using Aspire

Who this book is for

This book is for .NET web developers and software developers who want to use their existing C# skills to build interactive web applications running in the browser with Blazor WebAssembly, on the server with Blazor Server, or using a combination of both. You’ll need a basic understanding of C# and some prior exposure to .NET web development. The book will guide you through the rest.

]]> 2026-07-01T08:00:02.917 <![CDATA[ Algorithmique : Cours avec 931 exercices et 162 problèmes Ed. 4 ]]> http://ofppt.scholarvox.com/catalog/book/88980927 Editeur : Dunod

Ce manuel de référence pour l’apprentissage des algorithmes modernes vous est présenté dans sa 4e édition entièrement mise à jour et dans une nouvelle traduction complète
L'éventail des algorithmes étudiés va des plus classiques (tris, hachage...) aux plus récents (algorithmes parallèles...) permettant ainsi de passer progressivement des notions élémentaires aux thèmes les plus pointus. Près de 250 figures illustrent les notions théoriques
Tous les algorithmes sont décrits en français et dans un pseudo-code qui a été conçu pour être compréhensible par tous ceux qui ont déjà fait un minimum de programmation.
Chacun des 35 chapitres comportent des exercices au fil de ses sections (931 en tout) et se termine par des problèmes (162 en tout). Une partie des solutions à ces exercices et à ces problèmes est accessible en ligne (en anglais) à l’adresse suivante http://mitpress.mit.edu/algorithms/.
Les paragraphes et les exercices qui s’adressent plus spécifiquement aux étudiants de niveau master sont repérés par une étoile (*).
Parmi les nombreuses mises à jour de cette 4e édition, on distinguera trois nouveaux chapitres sur les couplages de graphes bipartis, les algorithmes en ligne, et l’apprentissage automatique. 140 nouveaux exercices et 22 nouveaux problèmes font également parti des nouveautés.
 

]]> 2026-06-24T08:00:01.450 <![CDATA[ Mathématiques Tout-en-un pour la Licence 1 Ed. 5 ]]> http://ofppt.scholarvox.com/catalog/book/88980933 Editeur : Dunod

Cet ouvrage de référence couvre, en un seul volume, l’ensemble du programme de mathématiques du niveau L1. Il est composé de vingt-deux modules regroupés en cinq thèmes : Notations et vocabulaire, Algèbre, Géométrie, Analyse et enfin Probabilités et Statistiques.
Sa présentation permet à l’étudiant, quel que soit son cursus, de s’initier à son rythme aux thèmes figurant à son programme et de conforter ses acquis. L’étudiant dispose des définitions précises et des énoncés et démonstrations des théorèmes essentiels.

]]> 2026-06-24T08:00:01.450 <![CDATA[ 30 Agents Every AI Engineer Must Build : Build production-ready agent systems using proven architectures and patterns ]]> http://ofppt.scholarvox.com/catalog/book/88979272 Editeur : Packt Publishing

Learn to transform LLM capabilities into production-ready agent systems using practical patterns and domain-driven approaches, guided by Imran Ahmad, author of 50 Algorithms Every Programmer Should Know Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

  • Design and implement 30 proven agent architectures used in real-world production environments
  • Build scalable, secure, and resilient agent workflows that move beyond simple chat interfaces
  • Master core agentic principles—perception, memory, reasoning, and planning—to create truly autonomous systems

Book Description

As AI evolves from passive tools into proactive collaborators, intelligent agents are leading a fundamental shift in computing. This guide provides the critical knowledge of agent architectures, practical tools, and industry approaches needed to build robust, autonomous AI systems that do more than just generate text—they act. You will begin by mastering foundational capabilities: perception, memory, reasoning, planning, and learning. You’ll gain deep insight into the cognitive loops that drive autonomous behavior and build sophisticated architectures using frameworks such as LangChain and LangGraph. The book explores high-impact applications across diverse sectors, including software development, finance, manufacturing, legal and education, to show how agents optimize workflows, automate quality control, and enhance advisory systems. Through real-world case studies, you will create agents capable of contextual reasoning, effective tool use, and seamless human collaboration. Finally, you’ll learn essential strategies for deployment, management, and ethical alignment, ensuring your AI solutions are both scalable and responsible in production environments. Whether you're building your first intelligent agent or improving business systems, this book provides clear, actionable guidance for creating scalable and responsible AI solutions. *Email sign-up and proof of purchase required

What you will learn

  • Deploy production-ready agent systems that scale securely and reliably
  • Use LangChain and LangGraph to build autonomous agents with modular architectures
  • Implement agents with sophisticated memory, planning, and reasoning capabilities
  • Seamlessly integrate tools, APIs, and external data into agent workflows
  • Establish robust evaluation frameworks to measure and optimize agent performance
  • Implement guardrails and explainability features to ensure ethical and safe deployment
  • Build multi-agent systems for complex, collaborative task orchestration
  • Apply specific agent architectures across healthcare, finance, and legal domains

Who this book is for

This book is designed for AI engineers, software developers, machine learning researchers, and technical leaders who are building intelligent systems or deploying LLM-powered applications. It is particularly beneficial for professionals transitioning from traditional machine learning to agent-based architectures or those solving complex automation challenges. Python experience and basic machine learning knowledge are recommended to get the most out of the code implementations.

]]> 2026-06-17T08:00:01.563 <![CDATA[ The Definitive Guide to Microsoft Fabric : From discovery to building a unified, secure, and scalable data platform ]]> http://ofppt.scholarvox.com/catalog/book/88976729 Editeur : Packt Publishing

Master Microsoft Fabric from basics to advanced architectures with expert guidance to unify, secure, and scale analytics on real-world data platforms

Key Features

  • Build a complete data analytics platform with Microsoft Fabric
  • Apply proven architectures, governance, and security strategies
  • Gain real-world insights from five seasoned data experts
  • Purchase of the print or Kindle book includes a free PDF eBook

Book Description

Microsoft Fabric is reshaping how organizations manage, analyze, and act on data by unifying ingestion, storage, transformation, analytics, AI, and visualization in a single platform. The Definitive Guide to Microsoft Fabric takes you from your very first workspace to building a secure, scalable, and future-proof analytics environment. You’ll learn how to unify data in OneLake, design data meshes, transform and model data, implement real-time analytics, and integrate AI capabilities. The book also covers advanced topics, such as governance, security, cost optimization, and team collaboration using DevOps and DataOps principles. Drawing on the real-world expertise of five seasoned professionals who have built and advised on platforms for startups, SMEs, and Europe’s largest enterprises, this book blends strategic insight with practical guidance. By the end of this book, you’ll have gained the knowledge and skills to design, deploy, and operate a Microsoft Fabric platform that delivers sustainable business value.

What you will learn

  • Understand Microsoft Fabric architecture and concepts
  • Unify data storage and data governance with OneLake
  • Ingest and transform data using multiple Fabric tools
  • Implement real-time analytics and event processing
  • Design effective semantic models and reports
  • Integrate AI and machine learning into data workflows
  • Apply governance, security, and compliance controls
  • Optimize performance and costs at scale

Who this book is for

This book is for data engineers, analytics engineers, architects, and data analysts moving into platform design roles. It’s also valuable for technical leaders seeking to unify analytics in their organizations. You’ll need only a basic grasp of databases, SQL, and Python.

]]> 2026-06-17T08:00:01.563 <![CDATA[ Blender for Beginners Part 1 : A reference guide to 3D modeling, shading, and animating workflows with Blender 4.5 LTS ]]> http://ofppt.scholarvox.com/catalog/book/88976738 Editeur : Packt Publishing

Build real-world skills as you create top-tier animations and 3D models with professional lighting and camera setups, turning theory into a portfolio-worthy showcase Please note: the Kindle version combines Parts 1 and 2 of the book

Key Features

  • Learn 3D modeling fundamentals in Blender from an expert team of tutors who’ve taught over 250,000 students worldwide
  • Understand the core principles that make animation, lighting, and camera work come to life
  • Start with the basics and build your skills through a series of projects to create a complex world

Book Description

Blender for Beginners Part 1 is your hands-on visual introduction to Blender, brought to you by the educators at 3D Tudor, who’ve helped over 250,000 students worldwide master 3D design. Starting Blender can feel daunting, but this first part makes it approachable. You’ll develop smart habits and clean workflows to keep projects organized. From setting up a readable interface and clean navigation to mastering reliable modeling tools that create shading-friendly results, every lesson builds your foundation as a confident 3D artist. Through easy-to-follow exercises, you’ll learn how to install Blender, navigate key menus and viewport modes, and use essential tools like Extrude, Bevel, and Loop Cut. You’ll build small assets and understand why seams, sharps, normals, and pivots matter for clean surfaces and predictable shading. Neil adds a touch of British humor that will keep you engaged throughout, even as you unwrap UVs using seams and projections, measure texel density, and explore trim sheets and UDIM basics. With principled PBR materials and Node Wrangler shortcuts, you’ll progress from flat clay to believable surfaces. Everything is taught step by step, with keystroke callouts and definitions. By the end of this part, your models will look great under lighting, your topology will behave, and your files will be ready for 3D animation—setting you up for Geometry Nodes, rendering, and compositing in Part 2. *Email sign-up and proof of purchase required

What you will learn

  • Customize Blender for speed by clearing workspaces, overlays, the Status Bar, and Outliner filters
  • Model with precision using Extrude, Inset, Bevel, Loop Cut, Knife, Spin, Slide, Shear, and Rip
  • Produce shading-friendly topology with bridges, fills, smoothing, Auto Smooth, and sharps
  • Shape faster with curves, modifiers, lattices, and constraints and stay non-destructive
  • Keep meshes clean with selections, transforms, normals, naming, and file organization
  • Build principled PBR materials with Node Wrangler and Ambient Occlusion helpers

Who this book is for

If you’re a video game enthusiast looking to gain experience in 3D modeling, 3D rendering, game design, and animation for game props, assets, and environments, this Blender book is for you. It’s ideal for character artists, game designers, motion graphics designers, animators, environment artists, and other technical artists. No prior Blender experience is required, but a general understanding of digital art concepts will help you get the most out of this book.

]]> 2026-06-17T08:00:01.563 <![CDATA[ Mastering Adobe Photoshop 2026 : Enhance your digital imagery skills with advanced photo editing and visual design workflows ]]> http://ofppt.scholarvox.com/catalog/book/88976916 Editeur : Packt Publishing

Work on real projects to master AI retouching, Generative Fill, Harmonize tool and more. Build real skills fast. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

  • Learn with a fully illustrated, full-color guide
  • Create professional visuals for print, web, social, and brand assets
  • Upgrade your workflow with AI-powered, non-destructive editing
  • Practice with downloadable project files for every hands-on example

Book Description

Adobe Photoshop continues to evolve and so should your skills. Written by Adobe Certified Expert Gary Bradley, Mastering Adobe Photoshop 2026 is the definitive guide for designers, marketers, and visual content creators looking to upgrade their editing capabilities with Adobe’s latest tools and features. Whether you’re refining product shots, creating print collateral, or animating social media visuals, this second edition delivers an expertly structured approach that blends professional techniques with hands-on practice. Structured into four progressive parts, the book builds your skills from interface mastery and healing tools to branding mock-ups, video shorts, and surrealist artwork. This edition goes beyond basic image editing by teaching advanced workflows like non-destructive retouching, seamless masking, batch automation, and content creation optimized for multiple platforms. Two brand-new chapters help you embrace the future of image editing by exploring AI-powered retouching with Adobe Firefly and the latest updates and new features from Adobe MAX. By the end of this book, you’ll have complete command over Photoshop’s powerful feature set, allowing you to craft stunning visuals that impress clients, employers, and online audiences alike. *Email sign-up and proof of purchase required

What you will learn

  • Create advanced mock-ups using smart objects and branding workflows
  • Master retouching, recoloring, and content-aware edits non-destructively
  • Use AI-enhanced tools for image generation, background edits, and retouching
  • Design and automate high-volume social media content for multiple platforms
  • Animate titles, GIFs, and videos using Photoshop's timeline and frame tools
  • Develop immersive visuals using brushes, textures, gradients, and effects
  • Blend, collage, and compose surrealist artworks with professional finesse

Who this book is for

This book is ideal for digital designers, content creators, social media managers, marketing professionals, and photographers who already have a foundational understanding of Photoshop and want to enhance their skills. If you're producing content for print, screen, or social media and want to save time while achieving exceptional quality, this book is for you.

]]> 2026-06-17T08:00:01.563 <![CDATA[ Programmer en Python avec ChatGPT Ed. 1 ]]> http://ofppt.scholarvox.com/catalog/book/88980499 Editeur : Eyrolles

Intégrez ChatGPT dans vos programmes Python !

Dans ce livre, apprenez l’utilisation de ChatGPT et des API OpenAI pour créer des codes dynamiques et des applications intelligentes. Grâce à des explications progressives tout au long de l’ouvrage, les amateurs de code comme les développeurs aguerris trouveront de quoi enrichir leurs compétences.

De l’utilisation des API ChatGPT et OpenAI, en passant par l’authentification, l’envoi d’invites, la génération de réponses et la gestion des erreurs, vous consoliderez vos connaissances avec des fonctionnalités avancées. Cet ouvrage aborde également, la modification de la longueur des réponses générées, l’intégration du contexte dans les invites, la transcription audio et l’optimisation de l’utilisation de l’API jusqu’à la programmation d’un chatbot Discord intelligent.

À qui s’adresse cet ouvrage ?

  • Aux développeurs Python.
  • Aux (futurs) développeurs en reconversion professionnelle.
  • Aux étudiants, en informatique et autres spécialités, qui découvrent l’IA dans leur parcours académique.

]]> 2026-06-10T08:00:02.793 <![CDATA[ Extreme DAX : Take your Power BI and Fabric analytics skills to the next level ]]> http://ofppt.scholarvox.com/catalog/book/88980519 Editeur : Packt Publishing

Master advanced DAX in Power BI and Microsoft Fabric to build scalable semantic models, solve complex business problems, and deliver high-impact analytics using real-world scenarios and proven techniques.

Key Features

  • Solve complex business problems with advanced DAX in Power BI and Fabric
  • Build scalable semantic models using modern data modeling best practices
  • Master evaluation context, calculation groups, and advanced DAX techniques

Book Description

This book helps experienced analysts unlock the full potential of DAX in Power BI and Microsoft Fabric to build scalable, production-ready analytics solutions. You’ll begin by strengthening your understanding of semantic models, data modeling, and evaluation context—the foundation of reliable analytics. Instead of isolated examples, the book uses real-world scenarios such as inventory analysis, benchmarking, and data security to show how advanced DAX calculations are applied in practice. As you progress, you’ll master advanced techniques including context transition, table functions, calculation groups, field parameters, and custom calendars. You’ll also explore analytical methods such as regression and goal-seeking to generate deeper insights from your data. With step-by-step guidance and practical PBIX examples, you’ll learn how to design efficient models, avoid common pitfalls, and implement reusable calculations. By the end, you’ll be able to create advanced DAX measures and high-performance Power BI solutions for complex analytical requirements.

What you will learn

  • Understand semantic models and data modeling principles
  • Master DAX evaluation context and context transition
  • Build advanced DAX measures and calculations
  • Use table functions and filtering techniques like TREATAS
  • Implement calculation groups and field parameters
  • Create custom calendars and time intelligence solutions
  • Apply regression and goal-seeking techniques
  • Secure data with attribute-level controls

Who this book is for

Extreme DAX is written for analysts with some practical experience with DAX in Power BI, Fabric, or other Microsoft analytics tools. It will help you to upgrade your knowledge and work with analytical models more effectively. It explains new features that were recently added to the DAX language by not only introducing concepts but discussing sophisticated business scenarios as well. This way, Extreme DAX will inspire you to apply advanced DAX techniques in your own analytics projects.

]]> 2026-06-10T08:00:02.793 <![CDATA[ Externalisation des SI - révolution IA : Infrastructures, applications, cloud et intelligence artificielle Ed. 4 ]]> http://ofppt.scholarvox.com/catalog/book/88980786 Editeur : Gereso

L’outsourcing, le Cloud et désormais l’IA transforment en profondeur la gestion des systèmes d’information et redéfinissent les leviers de performance des organisations.

Bien au-delà des enjeux technologiques, l’externalisation du SI s’impose comme un outil stratégique, à la fois puissant et exigeant, dont la maîtrise conditionne la réussite des projets et la création de valeur.

Dans un contexte où l’IA s’affirme comme une évolution majeure, ce guide met en lumière les bonnes pratiques pour en saisir les enjeux, en piloter les usages et éviter les écueils encore fréquents.

L’auteur propose une démarche globale et structurée, articulée autour des grandes étapes de l’externalisation : infogérance, modèles à la carte, BPO, Cloud et intelligence artificielle.

Il décrypte les choix structurants, les facteurs de succès et les risques à anticiper, tout en intégrant les dimensions métiers, contractuelles, humaines et techniques.

Décideurs, fonctions support et professionnels de l’IT, retrouvez dans cet ouvrage les repères essentiels et les outils opérationnels pour conduire une externalisation performante et durable !

]]> 2026-06-10T08:00:02.793 <![CDATA[ Blazor WebAssembly by Example : A project-based guide to building web apps with .NET, Blazor WebAssembly, and C# ]]> http://ofppt.scholarvox.com/catalog/book/88980809 Editeur : Packt Publishing

Build single-page web apps (SPAs) with Blazor WebAssembly using your C# and .NET skills, Artificial Intelligence, mastering components, events, security, and more through step-by-step instructions and video examples

Key Features

  • NEW: AI-powered web apps and updated guidance for .NET 10 and modern Blazor features
  • Build real projects including a PWA, secure app, expense tracker, Kanban board, and AI integrations
  • Learn different concepts in each chapter with enough theory and examples to build that chapter's project.

Book Description

Blazor WebAssembly allows you to build web apps without the need for JavaScript, plugins, or add-ons. With its continued growth in popularity, Blazor WebAssembly can open doors to new career paths and exciting projects, and Blazor WebAssembly by Example makes getting started easy. This project-based guide teaches you how to build single-page web applications by focusing heavily on the practical over the theoretical. The author provides step-by-step instructions for each project as well as a video of her following those exact steps. In this updated edition, we've added two new chapters on integrating artificial intelligence into web apps built with Blazor WebAssembly. You'll start with simple standalone web apps and gradually progress to hosted web applications with SQL Server backends. Each project covers a different concept from the Blazor WebAssembly ecosystem, such as Razor components, JavaScript interop, security, events, debugging, state management, hosted applications, REST APIs, and AI. The book's projects get more challenging as you progress, but you don't have to complete them in order, which makes this book a valuable resource for beginners as well as those who just want to dip into specific topics. By the end of this book, you'll be building your own web apps with .NET and C# using Blazor WebAssembly.

What you will learn

  • Integrate AI features into modern Blazor web applications
  • Build client-side web apps using C# and Blazor WebAssembly
  • Master Razor components, QuickGrid, templated components, events, and Razor class libraries
  • Build and consume ASP.NET Web APIs with Entity Framework
  • Learn how to call JavaScript with Blazor WebAssembly
  • Build high-performance progressive web apps (PWAs) with native app capabilities

Who this book is for

This book is for .NET web developers who want to leverage the power of .NET and C# to write single-page web applications using Blazor WebAssembly without using JavaScript frameworks. If you’ve ever wanted to use .NET on both the frontend and backend, this guide shows you how. To get started with this book, you'll need at least beginner-level knowledge of the C# language, the .NET framework, Microsoft Visual Studio, and web development concepts. Each project includes step-by-step instructions, making it suitable for developers who prefer learning by building real applications.

]]> 2026-06-10T08:00:02.793 <![CDATA[ C++ STL Cookbook : Master the latest STL features in C++23 and 26 with practical recipes for modern C++ development ]]> http://ofppt.scholarvox.com/catalog/book/88980812 Editeur : Packt Publishing

This edition of C++ STL Cookbook features new recipes, updated best practices, and comprehensive coverage of the latest C++23, C++26 features. Perfect for intermediate to advanced developers looking to leverage modern C++ features and techniques.

Key Features

  • Elevate your code with the latest C++23 strategies and techniques to solve complex programming challenges effectively
  • Learn about new features of C++26, and how to implement them.
  • Explore the proposed standardized library and how it integrates with existing C++ applications
  • Dive into the latest C++23 innovations such as enhanced ranges and advanced concurrency features with new and updated recipes

Book Description

C++ STL Cookbook is a comprehensive guide that provides practical solutions for mastering the latest features of the C++23 Standard Template Library (STL) through hands-on recipes. Beginning with new features in C++23, this book will help you understand the language's updated mechanics and library features, and offer insights into how they work. Unlike other books, this cookbook takes an implementation-specific, problem-solution approach that will help you overcome hurdles quickly. You'll learn core STL concepts, such as containers, algorithms, utility classes, lambda expressions, iterators, and more, through specific real-world recipes. Building on the success of the first edition, this updated guide includes a new chapter dedicated to the latest features introduced in C++23, such as improved modules, refined ranges, and coroutine-based generators. It also covers essential best practices for writing cleaner and more efficient code, including the use of coroutines, structured bindings, and std::span. Whether you're looking to deepen your understanding of the C++ STL or implement the latest features in your projects, this book provides valuable insights, clear and concise explanations and practical solutions to enhance your C++ programming skills.

What you will learn

  • Write cleaner and more efficient code using modern C++ techniques
  • Implement and master the latest features introduced in C++23
  • Use the new standard library modules in C++23
  • Learn about new features of C++26, and how to implement them
  • Expand your use of ranges with new components and functionalities
  • Implement coroutines for more efficient concurrency
  • Employ braced initialization for safer and clearer object creation
  • Leverage std::span for enhanced safety with C-arrays

Who this book is for

This book is for intermediate to advanced C++ programmers who want to get the most out of the Standard Template Library in C++23 and C++26, the latest versions of C++. Basic knowledge of coding and C++ concepts is necessary to get started with this book.

]]> 2026-06-10T08:00:02.793 <![CDATA[ Software Architecture with C# 14 and .NET 10 : Build enterprise applications using microservices, DevSecOps, EF Core, and design patterns for Azure ]]> http://ofppt.scholarvox.com/catalog/book/88980815 Editeur : Packt Publishing

Build enterprise-grade applications by mastering software architecture patterns, DevSecOps workflows, Kubernetes orchestration, and .NET 10 microservices

Key Features

  • Learn software architecture through practical examples, patterns, & case studies
  • Design scalable software architectures using C# 14 & .NET 10
  • Build cloud-native .NET microservices, CI/CD pipelines, & Blazor frontends using GitHub & Kubernetes
  • Integrate GitHub Copilot & AI-powered tooling into development workflows
  • Purchase of the print or Kindle book includes a free PDF eBook

Book Description

Designing enterprise software requires balancing scalability, resilience, security, and agility. This book helps developers and aspiring architects build production-ready applications using C# 14 and .NET 10. Written by Gabriel Baptista and Francesco Abbruzzese, this updated edition takes a practical approach to software architecture with real-world examples and case studies. You’ll learn how to design maintainable distributed systems, apply domain-driven design, and manage architectural decisions using tools such as GitHub Copilot and .NET Aspire. The book explores software architectural patterns with cloud-native microservices and SOA, along with CI/CD pipelines, DevSecOps automation, Kubernetes orchestration, and secure deployments. You’ll also build reusable frontend services and micro-frontends using Blazor and ASP.NET Core. By the end of this book, you’ll be able to architect scalable enterprise .NET applications with confidence.

What you will learn

  • Master software architecture principles using .NET 10 and C# 14
  • Apply DevSecOps principles and automate pipelines with GitHub Actions
  • Use GitHub Copilot to improve coding and testing workflows
  • Implement cloud-native microservices with Kubernetes
  • Secure applications using bearer tokens and client certificates
  • Build reusable C# APIs with NuGet and OpenAPI
  • Develop Blazor applications and micro-frontends
  • Integrate EF Core and Cosmos DB into enterprise applications

Who this book is for

This book is for engineers and senior software developers looking to build enterprise applications with the .NET stack. It is also ideal for professionals transitioning into architectural roles who want practical guidance on software architecture, cloud-native development, and tools such as GitHub, Kubernetes, and .NET Aspire. A working knowledge of C# and .NET is recommended.

]]> 2026-06-10T08:00:02.793 <![CDATA[ Toutes les questions juridiques que l'on devrait se poser sur l'IA Ed. 1 ]]> http://ofppt.scholarvox.com/catalog/book/88980400 Editeur : Eyrolles

  • Quels sont les usages interdits pour une IA ?
  • Propriété intellectuelle : quelles précautions prendre lors de la conception de l’IA, quels droits sur les résultats ?
  • Comment respecter les droits sur les données collectées pour l’entraînement ?
  • Comment concilier IA et RGPD ?
  • Peut-on utiliser la voix ou l’image d’une personne vivante, ou les cloner par IA générative ?
  • Comment le droit du travail encadre-t-il l’introduction de l’IA dans l’entreprise ?

La conception et l’utilisation de l’IA sont désormais encadrées par un règlement européen, et la responsabilité du concepteur et de l’utilisateur en cas de préjudice se précise au fil des jurisprudences.

Sous forme de questions / réponses et agrémenté de nombreux exemples, le présent ouvrage clarifie les multiples points qui touchent les utilisateurs de l’IA à titre personnel ou professionnel, et indique les précautions juridiques à prendre pour éviter les mauvaises surprises.

]]> 2026-06-03T08:00:02.730 <![CDATA[ Intelligences artificielles : de la théorie à la pratique : Modèles, applications et enjeux des IA Ed. 2 ]]> http://ofppt.scholarvox.com/catalog/book/88980460 Editeur : Dunod

C’est une révolution. Les intelligences artificielles se sont imposées dans tous les domaines de nos existences et n’en sortiront plus. Championnes d’échecs et de go, auxiliaires médicales, industrielles ou domestiques, assistantes intuitives, elles gagnent chaque jour en complexité et nous offrent des perspectives spectaculaires.
Comment sont-elles conçues et comment fonctionnent-elles ? Leur potentiel est-il illimité ? Pouvons-nous leur faire confiance ? Dans cet ouvrage, trois spécialistes vous proposent une synthèse scientifique
accessible à tous, novices ou initiés, curieux de comprendre l’état actuel et les développements futurs des IA.
Découvrez les méthodes utilisées en IA, les principes de l’apprentissage machine et les modèles probabilistes, neuronaux et génératifs, abordés de manière ambitieuse et imagée.
Explorez les domaines d’application des IA avec des exemples concrets de leur utilisation, notamment pour la santé, la vision par ordinateur,
la robotique, la parole et la langue écrite.
Saisissez les enjeux associés aux IA, leurs perspectives et leurs limites, les questions éthiques, sociales et juridiques qu’elles soulèvent, ou encore leurs impacts économiques et politiques.
Lisez ce livre et pénétrez l’univers fascinant des IA comme elles ont
conquis le nôtre.

]]> 2026-06-03T08:00:02.730 <![CDATA[ React Application Architecture for Production : A hands-on guide to architecting, building, and delivering enterprise-ready modern React apps ]]> http://ofppt.scholarvox.com/catalog/book/88980410 Editeur : Packt Publishing

Master modern React application architecture patterns and principles for building scalable, maintainable production apps and learn best practices in project structure, component design, state management, testing strategies, and more.

Key Features

  • Master React architecture patterns and design principles for building maintainable, scalable frontend applications
  • Develop production-ready React applications using proven methodologies from planning to production deployment
  • Learn to make informed technology decisions and design scalable frontend systems that evolve with your needs

Book Description

Building production-grade React applications requires making dozens of architectural decisions, often with little cohesive guidance. This book teaches proven architectural patterns for building scalable, maintainable frontend apps, based on timeless principles and modern best practices. This updated edition features a modern stack: React Router in framework mode, TypeScript, TanStack Query, Zustand, React Hook Form, Zod, Shadcn UI, Vitest, and Playwright. It also adds new chapters on performance, accessibility, and internationalization. You’ll work through a real-world example that brings modern architecture concepts to life. Starting with architectural foundations, you’ll make informed decisions about project structure, enforce code quality, build a well-designed component library, and implement the right rendering strategies. From there, you’ll build robust API layers with types generated from an OpenAPI specification and implement the right state management strategies for each use case. You will also learn about different testing strategies and when to use them, how to secure the application, and how to make it performant so that it remains scalable and maintainable. By the end, you’ll be prepared to design and build scalable React apps from the ground up and lead technical decisions in real-world projects.

What you will learn

  • Design scalable React architecture that grows with your application
  • Apply different rendering strategies such as SSR, CSR, pre-rendering, and hybrid rendering
  • Build a robust type-safe API layer and use the right state management approach
  • Implement techniques to improve performance with component architecture, code splitting, debouncing
  • Build maintainable component systems and accessible, internationalized UIs
  • Implement comprehensive testing strategies and learn to secure your app
  • Use AI-assisted workflows to enforce architecture and improve your workflow

Who this book is for

This book is for intermediate-level web developers who already have a solid understanding of JavaScript, React, and web development in general and want to build large-scale modern React applications effectively. Some TypeScript experience, along with JavaScript and React, will be beneficial.

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