Books

Discover timeless Stoic wisdom reimagined for modern life - a visual guide that transforms ancient philosophy into practical tools for navigating uncertainty, building resilience, and finding meaning in both success and failure.

Turn your engineering team into a force multiplier, not a bottleneck. This book gives current and aspiring engineering managers practical frameworks, questions, and examples for everything from one on ones and feedback to scaling teams and navigating crises.

Ideas for projects when teaching Python as well as general inspiration ex. when building a hobby project. It sources use-cases from Reddit and is grouped in some 20 chapters.

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. 

¿Kubernetes te parece difícil? Esta es la precuela técnica que necesitas. Deja de copiar Dockerfiles a ciegas y domina los cimientos: imágenes, redes, volúmenes y Docker Compose. La guía definitiva en español para entender los contenedores y construir la base sólida de todo Ingeniero DevOps.

This book teaches the fundamental concepts and tools behind reporting modern data analyses in a reproducible manner. As data analyses become increasingly complex, the need for clear and reproducible report writing is greater than ever. The material for this book was developed as part of the industry-leading Johns Hopkins Data Science Specialization. Printed versions are available through Lulu (see link below).

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

Master Kubernetes v1.36+ on your laptop without cloud bills. Build production-grade multi-node clusters using Kind (Kubernetes in Docker). From architecture basics to Ingress, Gateway API, and RBAC.

An illustrated exploration of rules, evidence, interpretation and the limits of formal reasoning.

An illustrated introduction to epistemology: evidence, definitions, models, proof and revising what we know.

Explore data before you trust it. Data Exploration and Visualisation with R shows how to uncover structure, diagnose data-quality problems, challenge misleading patterns, and turn imperfect observations into credible evidence through thoughtful, reproducible visual analysis.

Not another AI coding tutorial. A DX engineering book on using Claude Code to reduce developer friction - backed by METR, DORA, and Faros AI data. Processes first, then tools. 80% deterministic, 20% AI.