Titres dans Programmation et développement de logiciels

A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms...

Author Andrew Harmel-Law shows you how architects and development teams can collaborate to create and evolve more efficient architectures for their systems. Techniques in this book will help you learn how to create a mindset that allows everyone to practice architecture and build the best systems they've ever experienced.

Twice a year in the heart of Silicon Valley, a small investment firm called Y Combinator selects an elite group of young entrepreneurs from around the world for three months of intense work and instruction. Their brand-new two- or three-person start-ups are given a seemingly impossible challenge...

A compelling and clear exploration of the power and peril of advanced artificial intelligence that provides actionable suggestions for all citizens to create a safer future with AI.

Now a sprawling video game franchise, Resident Evil has kept us on the edge of our seats for decades with its tried-and-true brand of jump scares, zombie action, and biological horror. But even decades after its release, we can't stop revisiting the original's thrills, chills, and sometimes unintentional spills. Pop culture writer and horror cinephile Philip J Reed takes dead aim at 1996's Resident Evil, the game that named and defined the genre we now call "survival horror."

Agentic AI goes beyond simply automating tasks. It can plan, make decisions, take action, and adapt to new information. AI agents are capable of collaborating with other agents, systems, and people—reshaping how work gets done and how value is created. The rise of these digital workers will have a profound effect on industries, roles, and organizations of all sizes.

In this, the first book to take a big-picture view of the entire post punk period, acclaimed author and music journalist Simon Reynolds recreates a time of tremendous urgency and idealism in pop music. Full of anecdote and insight, and featuring the likes of Joy Division, The Fall, Pere Ubu, PiL and Talking Heads, Rip It Up And Start Again stands as one of the most inspired and inspiring books on popular music ever written.

In a world of digital overload and never-ending work demands, Microsoft Copilot stands as a breakthrough in productivity. What once took hours—summarizing reports, formatting presentations, calculating forecasts—can now be done in minutes with precision and personalization. This book is a guide for professionals ready to integrate AI into their daily work, not as a novelty, but as a core tool for speed, clarity, and strategic thinking.

The most successful programs of the last 30 years were developed in C++. From Microsoft Word to Facebook to Adobe Photoshop, C++ is at the heart of the most lucrative technologies in today’s world. C++ is the most powerful programming language in the modern world for one simple reason: It allows for complete control, not only of the program’s logic and graphical user interface, but of the hardware, too.

Success isn’t a clear road for software developers. There’s too much information, and it can feel overwhelming. Many developers get stuck and have no idea what to do next. Soft Skills aims to solve this. To give you a clear path with actionable steps for your career (and life). So you can get back to what you enjoy doing...solving unique puzzles and fun problems.

Unlock the potential of Generative AI with this Large Language Model production-ready playbook for seamless deployment, optimization, and scaling. This hands-on guide takes you beyond theory, offering expert strategies for integrating LLMs into real-world applications using retrieval-augmented generation (RAG), vector databases, PEFT, LoRA, and scalable inference architectures. Whether you're an ML engineer, data scientist, or MLOps practitioner, you’ll gain the technical know-how to operationalize LLMs efficiently, reduce compute costs, and ensure rock-solid reliability in production.

Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.

To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting - and lucrative! - careers in some of today’s hottest programming fields about the technology.

Few books in computing have had as profound an influence on software management as "peopleware". The unique insight of this longtime best seller is that the major issues of software development are human, not technical. They’re not easy issues; but solve them, and you’ll maximize your chances of success. For this third edition, the authors have added six new chapters and updated the text throughout, bringing it in line with today’s development environments and challenges.

We all love monsters. We love them because they exist outside of our world and yet feel real to us. We love how strange they can be. We love the sense of danger that arises when we talk about them. We love how they live in our imaginations. And when monsters come to life in our imaginations, we love to face and defeat them. We battle dragons and demons and undead—and conquer them in tales we’ll remember our whole lives. Within the Forge of Foes, we’ll build these monsters. Here in the forge, we’ll modify creatures, giving them new attacks and strange new abilities.

The productivity revolution is here, and most people are missing it. While others treat ChatGPT-5 like a fancy search engine, smart entrepreneurs and creators are using it to reclaim 15-20 hours per week through systematic automation. This isn't about getting better answers—it's about delegating entire workflows to an AI collaborator that never sleeps, never forgets, and gets smarter every day.

This book consists of 6 titles, namely: Assembly Language: The Ultimate Guide to Programming and Virtual Machines. Computer Science: The Complete Guide to Principles and Informatics. Cyber Security: Beginners’ Guide to Hacking, Phishing, Social Engineering, and Malware. Databases: System Concepts, Designs, Management, and Implementation. Operating Systems: Concepts to Save Money, Time, and Frustration. Website Development: Web Design Skills for Beginners

Software startups make global headlines every day. As technology companies succeed and grow, so do their engineering departments. In your career, you'll may suddenly get the opportunity to lead teams: to become a manager. But this is often uncharted territory. How can you decide whether this career move is right for you? And if you do, what do you need to learn to succeed? Where do you start? How do you know that you're doing it right? What does "it" even mean? And isn't management a dirty word? This book will share the secrets you need to know to manage engineers successfully.

Python: Comprehensive Python Programming from the Ground Up is designed to make Python programming accessible to the novice user. This audiobook will break up the material into bite-sized chunks and take listeners from uninitiated programmer to expert coder, with layman explanations and code examples.

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.