Books

When systems fail, theory meets reality. This book explores how to design, build and operate software that holds up under pressure, from unexpected outages to subtle failures buried deep in the architecture. Learn the principles and practical techniques that help engineers make better decisions, reduce risk and build systems that keep working when things go wrong.

HNSW powers almost every vector database, and few of the engineers who rely on it have seen inside it. Vector Search Inside Out builds it from first principles in 92 step-by-step figures, then tunes it on 1.18 million real vectors. You'll know exactly what M, efConstruction and ef do, and how to set them for your own data.

Estimate honestly. Model fearlessly. This book turns T-shirt sizing into fast, team-friendly estimation and hands you a complete e-commerce warehouse build on BigQuery—star schemas, ETL pipelines, performance tuning and all. From decision frameworks to real-world trade-offs, you'll gain the confidence to plan realistically and architect data systems that scale.

Diagnose, debug, and fix every Helm failure — 40+ real-world scenarios with battle-tested solutions. ⎈

In a hidden Melbourne laneway, chef Arvind Singh runs a secret twelve-seat supper club serving displaced immigrants the exact, poignant flavors of their lost homes. When a corporate buyout threatens to commodify these sacred family recipes, Arvind must choose between financial security and the soul of his kitchen. To guide his decision, he must finally break the seal on his grandmother's fourteen-year-old spice tin and confront the memories he left behind in Punjab.

20 small daily habits to boost energy, sleep better, and extend your healthy years — for busy professionals.

Reclaim 10+ hours every week with simple AI workflows.

What if the next leap in AI is not just predicting the next word, but learning how to reason? Reasoning Models are changing how AI approaches complex problems, from mathematics and coding to multi-step decision-making. This beginner-friendly book explores the ideas behind this shift, including Chain-of-Thought (CoT), Test-Time Compute, Reinforcement Learning, and the connection between reasoning models, Generative AI, and AI Agents. Discover what makes reasoning AI different, why it matters, and how it may shape the future of artificial intelligence — without getting lost in complex mathematics or dense technical details.

A detailed plan does not always lead to a better decision. Learn how to separate facts from assumptions, identify the unknowns that matter, and test your beliefs before taking action. This short, practical book includes a decision-review worksheet you can use in your own life or work.

Learn Java Data Structures & Algorithms Visually - Volume 4 brings together 107 algorithms covering trees, linked lists, strings, and arrays, each part opened by short foundation sections on the core tree patterns,... Printed in full color.

Learn C++ Data Structures & Algorithms Visually - Volume 4 brings together 107 algorithms covering trees, linked lists, strings, and arrays, each part opened by short foundation sections on the core tree patterns,... Printed in full color.

From a single neuron to transformer-based LLMs in production — the deep-learning, NLP, and shipping capstone of the Data Science, End to End series, derived from first principles in Python.

From your first predictive model to the ensembles that win competitions — the machine-learning core of the Data Science, End to End series, built from first principles in clean, idiomatic Python.