Books

Effective Code Review Tips and Tricks

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

You have built an AI agent that works beautifully in a demo, then falls apart the moment real users arrive: it invents answers, burns through tokens, and freezes on slow tools. The problem was never your prompt. This book shows you the real fix, layer by layer, and turns "I hope my agent works" into "I can prove it does."

Would you like to use TK or TKTD modelling to answer (applied) scientific questions, but lack the background in modelling and/or statistics? Then this is the book for you. This book provides a small selection of the tools from math and stats, along with some elements from philosophy of science, to get you up to speed.

Ever wanted to learn a foreign language but weren't sure where to start? The Language Learner's Handbook gives you the essential tools, skills, and strategies you need to learn any language as effectively and quickly as possible.

GitOps has caused quite some fuss on Twitter and KubeCon, and still continues to do so. This book aggregates the essence of GitOps to help clear up the confusion. This book answers the following questions:What is GitOps?Why should I use GitOps?How does GitOps work?How to get started with GitOps on Kubernetes?What's the Future of GitOps?

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!

Explore the power of Rust with "Rust Projects: Write a Redis Clone". This hands-on guide takes you through building a Redis-inspired database from the ground up, introducing key programming concepts like TCP connections, the RESP protocol, and concurrency. Following the CodeCrafters challenge, this book gradually builds your skills, making complex topics accessible. Whether you're new to Rust or looking to deepen your understanding, this project-based journey offers practical, real-world insights into modern systems programming. The book contains 40% discount code for CodeCrafters.io!

Quantitative finance in Python: a hands-on, interactive look at the QuantLib library through the use of Jupyter notebooks as working examples.

A hacked WordPress site can look perfectly normal. Follow real investigations across files, databases, hidden users, cron jobs, hosting, DNS, checkout pages, and blacklists—and learn how to find the full compromise, remove it safely, and stop it from coming back.

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

The Working Notes complement Applied Data Science for Credit Risk and Probability of Default Rating Modeling with R, offering practice-oriented insights. Based on the author’s GitHub repository, they address real-world challenges and are regularly updated to reflect ongoing developments.

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