Books

To write better code and build better products, we must understand why engineering and design often fail. Why is it so difficult to write bug-free code? Why do people fail to use products? And why do engineering projects so often go sideways? The answer to these questions lies in the shortcomings of human cognition and the nature of complexity.

Essential Python libraries and frameworks that every aspiring data scientist, ML engineer, and Python developer should know.

Zefs Guide to Deep Learning is a short guide to the most important concepts in deep learning, the technique at the center of the current artificial intelligence revolution. It will give you a strong understanding of the core ideas and most important methods and applications. All in around only 150 pages!

FUN C++ related programming puzzles!

The premise of this book is to provide students a hands-on, go-to resource for building a secure, customizable lab environment in order to enable their own specific pursuits.

Everywhere you look, programming languages are gaining functional features. The problem is that it's not the individual features that make functional programmers happy, it's the way that your approach to writing software and the features work together to help you write simple code to solve interesting problems. This concise, practical ebook will help you discover why F# is such a popular language with those who have spent time learning its secrets. 

Develop insights from data with tidy tools. Import, wrangle, visualize, and model data with the Tidyverse R packages.

Are you a new tech lead who wants to know what the expectations are? An experienced tech lead who needs to be more impactful? In this short book, the founder of the Tech Lead Coaching Network and experienced software manager and leader will explain the role and five core capabilities you need to be confident and impactful in the role.

This booklet is a concise, practical and visual guide to the software practice of Domain-Driven Design.

A rigorous treatment of linear models for self learning data scientists. This book is only available in pdf form.

This book gives a brief, but rigorous, treatment of regression models intended for practicing Data Scientists.

Aprenda as técnicas e práticas especiais que um programador profissional sabe e usa para escrever e manter códigos de alta qualidade. Este livro junta experiência em desenvolvimento de software com a didática necessária para o ensino do ofício de programar para viver :)

Chinese Handwriting for Left-hander is a comprehensive guide that empowers left-handed individuals to write Chinese characters naturally, by overturning the right-handed assumptions embedded in traditional stroke orders, paper placement, and pen grip.

Reinforcement Learning для LLM: от оптимизации предпочтений и верифицируемых наград до агентов и безопасности.