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Catalogue complet

Dunphy G: Pro BizTalk 2009

Pro BizTalk 2009

Ready to build production-grade applications with generative AI? This practical guide takes you through designing and deploying AI services using the FastAPI web framework. Learn how to integrate models that process text, images, audio, and video while seamlessly interacting with databases, filesystems, websites, and APIs. Whether you're a web developer, data scientist, or DevOps engineer, this book equips you with the tools to build scalable, real-time AI applications. Author Alireza Parandeh provides clear explanations and hands-on examples covering authentication, concurrency, caching, and retrieval-augmented generation (RAG) with vector databases. You'll also explore best practices for testing AI outputs, optimizing performance, and securing microservices. With containerized deployment using Docker, you'll be ready to launch AI-powered applications confidently in the cloud. <ul> <li>Build generative AI services that interact with databases, filesystems, websites, and APIs</li> <li>Manage concurrency in AI workloads and handle long-running tasks</li> <li>Stream AI-generated outputs in real time via WebSocket and server-sent events</li> <li>Secure services with authentication, content filtering, throttling, and rate limiting</li> <li>Optimize AI performance with caching, batch processing, and fine-tuning techniques</li></ul> Visit the Book's Website.

A Practical Approach to Developing Context Rich Generative AI Applications

Building Generative AI Services with Fastapi

Sybex Study Guide

Your complete Guide to preparing for the AWS® Certified Data Engineer: Associate exam The AWS® Certified Data Engineer Study Guide is your one-stop resource for complete coverage of the challenging DEA-C01 Associate exam. This Sybex Study Guide covers 100% of the DEA-C01 objectives. Prepare for the exam faster and smarter with Sybex thanks to accurate content including, an assessment test that validates and measures exam readiness, real-world examples and scenarios, practical exercises, and challenging chapter review questions. Reinforce and retain what you've learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get ready for the AWS Certified Data Engineer exam - quickly and efficiently - with Sybex. Coverage of 100% of all exam objectives in this Study Guide means you'll be ready for: <ul><li>Data Ingestion and Transformation</li><li>Data Store Management</li><li>Data Operations and Support</li><li>Data Security and Governance</li></ul> ABOUT THE AWS DATA ENGINEER - ASSOCIATE CERTIFICATION The AWS Data Engineer - Associate certification validates skills and knowledge in core data-related Amazon Web Services. It recognizes your ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices Interactive learning environment Take your exam prep to the next level with Sybex's superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to: ¿ Interactive test bank with 5 practice exams to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you're ready to take the certification exam. ¿ 100 electronic flashcards to reinforce learning and last-minute prep before the exam ¿ Comprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared

Associate (DEA-C01) Exam

AWS Certified Data Engineer Study Guide

Routledge Studies in Innovation, Organizations and Technology

This book is based around two key premises; all software is an artefact of human construct, and all software shapes the behaviours of those who use it directly or experience its influence indirectly. With the rise of popular consumer facing generative AI tools, never has understanding these two premises been more important or more obscured. This book explores the relationship between people and software as a relationship between a tool and its users.Through a series of exemplar cases, it presents an examination of the historical development of software from a critical perspective with special attention given to the consequences of using this software and assumptions made around its neutrality. The author explores the development of the World Wide Web, Word and Excel, and social media, concluding with an investigation of how the principles identified in these earlier examples are now being found within public interface generative AI tools. The book looks beyond the functionality and user interface of the software to look at it as a complex artefact of human manufacture by exploring the wider cultural and technical environment in which the software is created and considering the political, economic and social forces that come to bear on the software and becomes embodied within. This narrative approach provides readers with valuable insights into the influences of specific software on contemporary society and business, encouraging them to apply a critical lens to their own and their organisation's software use.This book is a novel read for academics and students within software development, information systems, AI and critical management studies.

Artefacts, Systems and Spectacle in the Age of AI

Critical Software Studies

Your Python code may run correctly, but what if you need it to run faster? This practical book shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By explaining the fundamental theory behind design choices, this expanded edition of High Performance Python helps experienced Python programmers gain a deeper understanding of Python's implementation. How do you take advantage of multicore architectures or compilation? Or build a system that scales up beyond RAM limits or with a GPU? Authors Micha Gorelick and Ian Ozsvald reveal concrete solutions to many issues and include war stories from companies that use high-performance Python for GenAI data extraction, productionized machine learning, and more. <ul> <li>Get a better grasp of NumPy, Cython, and profilers</li> <li>Learn how Python abstracts the underlying computer architecture</li> <li>Use profiling to find bottlenecks in CPU time and memory usage</li> <li>Write efficient programs by choosing appropriate data structures</li> <li>Speed up matrix and vector computations</li> <li>Process DataFrames quickly with Pandas, Dask, and Polars</li> <li>Speed up your neural networks and GPU computations</li> <li>Use tools to compile Python down to machine code</li> <li>Manage multiple I/O and computational operations concurrently</li> <li>Convert multiprocessing code to run on local or remote clusters</li> </ul>

Practical Performant Programming for Humans

High Performance Python

Today's software applications need more than a friendly interface and correct algorithms. They also need to be responsible: to be beneficial for society and not cause harm. In an era of AI chatbots, deep fake images and videos, social media bubbles, expanding privacy regulations, and a warming planet, it's more important than ever to practice responsible software engineering so your products earn your users' trust--and deserve it. Responsible Software Engineering gathers the wisdom of over 100 Google employees to help you anticipate the effects of your software on the world and its inhabitants. It features expert advice and practical case studies so you can build better applications that are more ready for real-world situations: <ul> <li>Treating people more fairly, regardless of their beliefs, culture, skin tone, and other attributes</li> <li>Operating more safely, to reduce the risk of physical, psychological, or financial harm</li> <li>Better protecting people's privacy, particularly when collecting personal information</li> <li>Incorporating wisdom from the social sciences, law, ethics, and other fields that many engineers may be unfamiliar with</li> <li>Reducing emissions of carbon dioxide (CO2), to address the risks of climate change</li> </ul>

With Real-World Case Studies from Google

Responsible Software Engineering

Master the essentials of modern
Fortran with Fortran Programming in easy steps.
Written for all ages, and all skill levels, this guide will help you quickly
set up your coding environment and start writing Fortran programs with the
Fortran programming language and the modern Intel IFX Fortran compiler right
away. Learn how to:





<li>Store information using data
structures.</li>





<li>Control program flow using control
structures. </li>





<li>Build re-usable blocks of code in
program functions for efficiency. </li>





<li>Utilize data abstraction
for Object Oriented Programming (OOP). </li>





<li>Implement parallel
programming for faster, concurrent execution in your programs. </li>





Color-coded examples make learning
even easier, and all source code is available to download free – so you can
check your work as you go!





This primer is your gateway to
mastering high-performance computing for today’s needs. 





Stay ahead in your
coding career!

FORTRAN Programming in Easy Steps

From First Script to Full Website—Fast! Tired of cobbling together PHP solutions from scattered online tutorials? Frustrated by outdated PHP practices that leave your code vulnerable and hard to maintain? Whether you’re building your first dynamic website or modernizing legacy systems, PHP Crash Course gives you a complete, practical foundation for writing professional web applications. In this comprehensive, example-driven guide, you’ll learn how to: <ul><li>Write clean, maintainable PHP code using modern language features and best practices</li><li>Build secure web applications that protect against common vulnerabilities</li><li>Master database integration using PDO and object-relational mappings (ORMs)</li><li>Implement professional features like shopping carts and user authentication</li><li>Structure applications using object-oriented programming and model-view-controller (MVC) patterns</li><li>Leverage powerful tools like Composer and Twig to accelerate development </li></ul> Starting with PHP fundamentals, you’ll progress through six carefully crafted sections covering essential patterns, security best practices, database integration, and advanced concepts like object-oriented programming. Each chapter builds on real-world examples, giving you the skills to solve common development challenges. Whether you’re a complete beginner or an experienced developer looking to modernize your PHP skills, PHP Crash Course gives you everything you need to build professional, dynamic websites with confidence. Includes setup instructions for Windows, macOS, and Linux, and configuration details for Replit, the free online development environment.

The Complete, Modern, Hands-On Guide

PHP Crash Course

The Enterprise Engineering Series

Setting a Route for an Enterprise and keeping It on the Route

Enterprise Governance and Management

Synthetic Media, Deepfakes, and Cyber Deception: Attacks, Analysis, and Defenses introduces the only analytical Synthetic Media Analysis Framework (SMAF) to help describe cyber threats and help security professionals anticipate and analyze attacks. This framework encompasses seven dimensions: Credibility, Control, Medium, Interactivity, Familiarity, Intended Target, and Evocation. Synthetic media is a broad term that encompasses the artificial manipulation, modification, and production of information, covering a spectrum from audio-video deepfakes to text-based chatbots. Synthetic media provides cyber attackers and scammers with a game-changing advantage over traditional ROSE attacks because they have the potential to convincingly impersonate close associates through text, imagery, voice, and video. This burgeoning threat has yet to be meaningfully addressed through any written treatment on the topic. The book is co-authored by three cyber influence and deception experts who have gained deep knowledge and experience on the topic through diverse, true operational pathways and backgrounds. The diversity and perspectives of the author team makes the content in the book the broadest and deepest treatment of synthetic media attacks available to readers.

Attacks, Analysis, and Defenses

Synthetic Media, Deepfakes, and Cyber Deception

A Practical Guide for Engineering Leaders

Generative AI in Software Development

Real-world threats demand real-world teamwork. If you’re tired of red team reports gathering dust—or defensive teams being left in the dark—this book is for you. Practical Purple Teaming gives you a hands-on blueprint for running collaborative security exercises that improve detection, build trust, and expose real gaps before attackers do. You’ll learn how to emulate adversaries using tools like Atomic Red Team, MITRE Caldera, and Mythic, and you’ll guide defenders toward actionable insights using real logs, alerts, and frameworks like MITRE ATT&amp;CK, the Cyber Kill Chain, and the Pyramid of Pain. If you’re running your first purple team exercise or trying to scale a repeatable program, this book will show you how to move from ad hoc simulations to a sustainable, integrated strategy.&nbsp; You’ll learn how to: <ul><li>Design purple team exercises that produce measurable improvements&nbsp;&nbsp;&nbsp; </li><li>Emulate attacks using threat intel and adversary simulation tools </li><li>Collect telemetry and analyze coverage using open source platforms </li><li>Automate labs with Splunk’s Attack Range and other free resources </li><li>Build a sustainable, cross-functional purple teaming function within your organization </li></ul> Whether you’re red, blue, or somewhere in between, this book will help you test smarter, detect faster, and collaborate better. If you’ve ever finished a red team engagement and wondered what actually changed, this is your playbook.

The Art of Collaborative Defense

Practical Purple Teaming

With the introduction of the EU AI Act, companies employing AI systems face a new set of comprehensive and stringent regulations. Dr. Larysa Visengeriyeva offers a much-needed guide for navigating these unfamiliar regulatory waters to help you meet compliance challenges with confidence. From explaining the legislative framework to sharing strategies for implementing robust MLOps and data governance practices, this wide-ranging book shows you the way to thrive under the EU AI Act, not just survive. It's an indispensable tool for engineers, data scientists, and policymakers engaged in or planning for AI deployments within the EU. By reading, you'll gain: <ul> <li>An in-depth understanding of the EU AI Act, including the four risk categories and what they mean for you</li> <li>Strategies for compliance, including practical approaches to achieving technical readiness</li> <li>Actionable advice on applying MLOps methodologies to ensure ongoing compliance</li> <li>Insights on the implications of the EU's pioneering approach to AI regulation and its global effects</li> </ul>

Navigating the EU Regulatory Requirements

The AI Engineer's Guide to Surviving the EU AI Act

Pro BizTalk 2009

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