Books

This second edition is for Python programmers who want to get into networking but don't want to feel overwhelmed. My goal is to make you comfortable with reading code and using it to solve real-world networking problems. A lot of people wrote to me saying that it helped them automate tasks that they had been doing manually for years, while others shared how it gave them the confidence to switch careers or take on more advanced responsibilities in their roles.

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.

Objevte sílu geoprostorových dat s Pythonem! Tato praktická příručka je určena začátečníkům i pokročilým uživatelům, kteří chtějí proniknout do prostorové analýzy a interaktivního mapování s využitím open-source nástrojů. Naučíte se pracovat s reálnými daty na praktických příkladech a osvojíte si dovednosti v programování Pythonu, analýze vektorových a rastrových dat, webovém mapování i cloud computingu. Ať jste student, výzkumník, GIS profesionál nebo datový vědec, tato kniha vás vybaví nástroji pro sebevědomé řešení geoinformačních výzev.

Demystify the mathematical foundations of machine learning with this concise, hands-on guide. Dive into the essentials of linear algebra, calculus, and statistics, specifically tailored for practical application with Python and NumPy. No more wading through dense textbooks – get the core concepts you need to build intelligent systems, fast.

"Learn Python from scratch — no experience needed. From your very first line of code to building real projects, this guide takes you step-by-step through the A to Z of Python programming."

Turn uncertainty into a competitive advantage with probabilistic forecasting and Conformal Prediction.

Sblocca la potenza dei dati geospaziali con Python! Questa guida pratica è pensata per principianti e utenti intermedi desiderosi di esplorare l’analisi spaziale e la mappatura interattiva utilizzando strumenti open source. Imparerai a lavorare con dati reali attraverso esempi pratici e a sviluppare competenze in programmazione Python, analisi vettoriale e raster, web mapping e cloud computing. Che tu sia studente, ricercatore, professionista GIS o data scientist, questo libro ti fornirà gli strumenti per affrontare con sicurezza le sfide geospaziali.

A powerful new book on Conformal Prediction by bestselling author and machine learning expert Valery Manokhin, bridging theory and real-world machine learning. Discover how to quantify uncertainty with statistical guarantees—across deep learning, time series, forecasting, and more. Preorder now before the price goes up.

Widgets and sample applications.

Testing is one of the super-powers programmers can have. Do you already have that super-power? If not this very short book can get you a taste.