Books

Python looks the same on the surface, but almost everything underneath has changed. This book brings you up to speed on Python 3.13/3.14, the free threaded build, uv, and the tools working engineers actually use today, with runnable examples in every chapter.

This book teaches you how to quantify the uncertainty of machine learning models with conformal prediction in Python.

Can you defeat the dragon? In The Dragon's Code, you won't just read about Python. You'll use it to create a real terminal adventure game from scratch. Explore mysterious rooms, battle monsters, solve puzzles, collect treasure, and face a dragon in an adventure where every chapter unlocks a new game mechanic and a new programming skill. No experience required.Just curiosity and a little courage!

Learn Python as a network engineer, not as a computer science student. 632 pages, every example built on real device output. Cisco-first, with Juniper and Fortinet.

Master the engineering principles behind Unsloth to fine-tune Large Language Models on limited hardware. Discover technical workflows for 4-bit quantization, custom Triton kernels, and Direct Preference Optimization. This guide covers the full lifecycle, including context expansion and production deployment via GGUF and vLLM. A rigorous reference for developers seeking to maximize LLM performance on consumer-grade GPUs.

Facing the insanity that is pipeline development alongside a production in full swing, "Practical Python for Production under Pressure" helps TDs to deliver quality tools and pipelines amidst the chaos.This book focuses on practical workflows and theory to build practical tools and pipelines within an ever changing environment using python, PySide and duct tape ingenuity. Learn about managing communications, building pipelines, working with AI in production, user experience and more.

Break free from expensive cloud APIs and reclaim your digital sovereignty by running powerful LLMs locally. Master the professional stack—from vLLM serving and Unsloth fine-tuning to advanced quantization on consumer GPUs. Build secure, lightning-fast AI applications that protect your data and eliminate recurring token fees forever. Stop renting your intelligence and start building a private, autonomous future on your own hardware.

This book provides a comprehensive coverage of ML methods that have proven useful in process industry for dynamic process modeling. Step-by-step instructions, supported with industry-relevant case studies, show how to develop solutions for process modeling, process monitoring, etc., using classical and modern methods. Also available at Google Play 

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.

This small book was written for just one purpose - explain the asynchrony concept from beginning to end.

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!

A primordial Lisp described in detail.

This book is a quick foray into the world of deep learning-based computer vision and abnormal equipment sound detection. The readers are introduced to the ease with which powerful equipment and product quality monitoring solutions can be built using sound and visual data.

Cheat sheets can be a really helpful resource when you're learning a new language. They remind you of the syntax and concepts you've just learned, so you can focus on writing your own code instead of rereading sections of a book or rewatching parts of a video.

Learning a language is easy. However, learning to write a language and writing a language in an optimized way are two different things.