Books

Bad data breaks good code. You’ve written Python that works perfectly in testing, only to watch it fail in production because of a malformed API request, a messy CSV, or a missing config value. That’s the hidden cost of Python’s flexibility: without runtime validation, you’re always one bad input away from a crash. Enter Pydantic. This book takes you from the foundations of data validation to real-world applications in APIs, data pipelines, configurations, and machine learning workflows. Along the way, you’ll explore practical techniques, advanced features, and alternatives like Marshmallow, attrs, and dataclasses, so you’ll always know which tool is right for the job. If you’re a Python developer, data engineer, or FastAPI user, this is your roadmap to writing safer, cleaner, and more reliable code.

Ready to transform your Python scripts into professional, scalable web applications? Master Flask, SQLAlchemy, and RESTful APIs with this project-driven, mission-critical guide. Learn to build, secure, and deploy robust backend services that serve the real world. Stop coding for your machine and start building for the internet—your launch begins here.

Stop building toy APIs. Learn how to design, structure, validate, test, and deploy real backend applications using Python and FastAPI — step by step, from zero to production-ready.

In this book, we will see how we can connect a Local AI (local LLM) using Python to do whatever you want; in the book, we will create a chat.

En este libro veremos como podemos conectar una IA en Local (LLM en local) mediante Python para hacer lo que quieras; en el libro, crearemos un chat.

Make AI and Python your campanion