Books

Data analysis is now part of practically every research project in the life sciences. In this book we use data and computer code to teach the necessary statistical concepts and programming skills to become a data analyst. Instead of showing theory first and then applying it to toy examples, we start with actual applications and describe the theory as it becomes necessary to solve specific challenges. The book includes links to computer code that readers can use to follow along as they program.

What really happens when PostgreSQL executes your query? Follow a SQL statement through every stage of PostgreSQL's internal pipeline—from raw text to returned results—and gain the deep understanding that transforms how you write, tune, and debug database applications.

Have you wondered what makes functional programming such a big deal, but haven't been able to get through any of the explanations? We wrote this book for you. Four years in the making! Phone-friendly: the code listings are easily readable without phone gymnastics. This is a small book—it took an enormous amount of effort to make it so! Also available as a Print Book.

Whether you've never coded a game before or have years of experience under your belt, you'll learn the fundamentals of how to make games for Playdate using the Lua programming language. Make Games for Playdate with Lua covers how to program with Lua and the essential Playdate APIs. You'll make a handful of games to get you kickstarted on making your dream game for Playdate.

Build a game from scratch in Go, no engine magic, just code you understand. You'll create Gopher Survivor, a Vampire Survivors–style action game, one concept per chapter: enemies, weapons, XP and level-ups, particles, a state machine, and a build you can ship.

Most architecture books teach you how to design systems. This one teaches you how to become the person who designs them. This book covers everything the job actually requires: the mindset, the technical depth, the decisions, and the organizational and human dimensions that no purely technical book addresses.

Learn Claude Code by building real projects. This hands-on companion turns the Claude Code Masterclass workshop into a practical self-paced guide for planning, coding, testing, reviewing, refactoring, and shipping software with AI.

The Windows 11 Field Guide is a full-length e-book about the latest version of Microsoft Windows, aimed at those users who will upgrade from Windows 10 or acquire Windows 11 with a new PC.

Bridge AI and science with this hands-on guide. Whether you're a researcher learning ML or an engineer entering scientific applications, build real systems across chemistry, biology, physics & climate. Master Transformers, Diffusion Models & GNNs for scientific discovery. 500+ pages, 50+ Colab notebooks. Design molecules, predict proteins, accelerate climate models—all hands-on, zero setup required.

Unlock the power of DuckDB for modern geospatial analytics. This hands-on guide helps GIS professionals master efficient spatial data management, transforming massive real-world datasets into powerful insights using SQL, Python, and DuckDB’s spatial extension. Full-color print edition is available on Amazon.

This book explains Samman Technical Coaching. It is a method for helping software teams to become more agile, learn Test-Driven Development, and raise the quality of their work.

The modeling of variants is a common use case in MBSE (for example for product line engineering or trade-off studies). Although SysML does not provide explicit model elements for variants, it is possible to create a variant model with SysML. The book explains the approach and provides a SysML profile for variants. 

هذا الكتاب هو دليل مختصر وموضّح بالرسوم لأي شخص يرغب في فهم الآلية الداخلية للنماذج اللغوية الضخمة، سواء في سياق المقابلات أو المشاريع أو بدافع الفضول الشخصي.

We'll be writing kernels in Rust and seeing how they match up with their C++ equivalents. If you feed a GPU properly, you'll see bandwidth quadruple from just one changed subscript. It'll get you working with thousands of threads, pricing a financial option based on an exact formula, and shipping an inference pipeline that outruns its Python equivalent for reasons you can name.

The recipes in this book are practical answers to the kind of problems that real Django applications encounter, sometimes on the first day of a project and sometimes deep into the life of a codebase that has grown well beyond its original design. This book is written to guide you to utilize Django 6.0 capabilities in your apps with ease of implementation.