Python

Every application goes through changes. Even if the code itself does not need change the environment might. You might need to upgrade a library or even python itself. You might need to upgrade your operation system to a new version or switch to an entire new one. How will you know that your code runs after *any* change? You write tests. Lots of tests.

Build distributed systems that keep working when things go wrong. This hands-on guide shows you how to design reliable messaging architectures with Python and RabbitMQ, from core concepts to production-ready patterns. Follow real projects, write practical code and learn how to build scalable services that recover gracefully under load.

Whether you're writing your first line of code or building professional applications, this book takes you from the fundamentals to real world Python development. Learn the skills, tools and best practices used by experienced developers to write clean, reliable and scalable code with confidence.

Build intelligent AI applications with LangChain using practical, production-ready Python examples. From intelligent agents and retrieval-augmented generation to scalable deployment and observability, this book equips you with the skills and architectural understanding needed to create reliable, real-world LLM-powered systems.

Les satellites capturent chaque jour d’énormes volumes d’images, mais transformer des pixels en connaissances nécessite l’IA. Ce livre vous apprend à concevoir, entraîner et appliquer des modèles d’apprentissage profond à de véritables images satellitaires à l’aide de Python et d’outils open source, avec 23 chapitres de code exécutable que vous pouvez utiliser dès aujourd’hui. Tous les exemples de code sont disponibles gratuitement sur https://book.opengeoai.org.

Libérez la puissance de DuckDB pour l’analytique géospatiale moderne. Ce guide pratique aide les professionnels du SIG à maîtriser une gestion efficace des données spatiales, en transformant d’énormes jeux de données réels en informations exploitables grâce au SQL, à Python et à l’extension spatiale de DuckDB. Une édition papier couleur est disponible sur Amazon.

A beginner-friendly introduction to machine learning with Python, that is based on the PyCaret and Streamlit libraries. Readers will delve into the fascinating world of artificial intelligence, by easily training and deploying their ML models!

This book is a valuable resource for beginners and experienced Python developers, emphasizing that magic methods are not just syntactic sugar, but powerful tools that can significantly improve the functionality and performance of Python code when used correctly.

Stop building chatbots and start architecting autonomous digital workers that act, plan, and collaborate. Master multi-agent orchestration with CrewAI and build self-healing, cyclic workflows using LangGraph. Move beyond simple prompts to implement the OODA loop, browser automation, and production-grade security. Transform LLMs into reasoning engines capable of managing entire software agencies without intervention.

Discover the world of Python programming with ChatGPT as your guide! Dive into essential concepts, solve engaging and fun challenges, and explore the limitless potential of coding. This joyful journey will empower you to master Python in just 100 prompts, equipping you with the necessary skills to unleash your creativity as a promising programmer!

Aprende todo sobre Python desde cero hasta experto. Curso para aprender Python paso a paso de forma fácil y con ejercicios prácticos que te ayuden a comprender todo sobre Python. El 100% del dinero recaudado con el libro será donado a @AmazonWatch, ONG que trabaja para proteger los bosques tropicales y los derechos de los pueblos indígenas.

What is a good software architecture? Why should we bother structuring the code and spending time testing it? If you like spending hours debugging your programs or staying late at the office to recover from a buggy deploy in production this book is definitely NOT for you!

Ever wished someone would explain coding like they’re talking to a friend?That’s exactly what Python – Made Simpler does. This beginner-friendly book teaches Python with the help of real-life analogies you already understand. Variables become jars in your kitchen. Loops feel like chores on repeat. And instead of just reading about code, you’ll actually write it—from day one. You don’t need any prior experience. You don’t need to be a tech wizard. You just need curiosity—and maybe a little love for coffee, because we talk about that too. Start learning Python the fun way—with simplicity, creativity, and confidence.