Books

Master language models through mathematics, illustrations, and code―and build your own from scratch!

A guide to visualising your software architecture with the C4 model.

The deepest tutorial and explanation about EventStorming, straight from the inventor.

Unlock the power of geospatial data with Python! This hands-on guide is designed for beginners and intermediate users eager to explore spatial analysis and interactive mapping using open-source tools. You'll learn how to work with real-world data through practical examples and build skills in Python programming, vector and raster analysis, web mapping, and cloud computing. Whether you're a student, researcher, GIS professional, or data scientist, this book will equip you with the tools to tackle geospatial challenges with confidence. Color-print copies are available through Amazon.

To ace your next Android job interview, focus on truly understanding the concepts—not just memorizing answers—and practicing how to apply them. With 108 interview questions, 162 additional practical questions, and 50+ pro tips, this book helps you sharpen skills, understand the why, and prepare for real-world technical challenges. Hardcover edition | Paperback edition

Jetpack Compose is the future of Android UI. Master how it works internally and become a more efficient developer with it. You'll also find it valuable if you are not an Android dev. This book provides all the details to understand how the Compose compiler & runtime work, and how to create a client library using them.

This second edition isn't about complexity or rare scenarios, rather it's a focused journey for anyone ready to build, learn, and actually ship web applications in Go. I've included the lessons I wish I'd known my first month with Go, plus the methods and habits I still use today. Every step is designed to be actionable, so you can turn any concept into a feature.

Are you a data scientist or analyst struggling to take your Jupyter Notebook prototypes to the next level? Have you encountered challenges with code organization, reproducibility, or collaboration as your data science projects grow in complexity? This book is the solution you’ve been seeking. This comprehensive guide bridges the gap between data analysis and software engineering, providing you with the essential tools and best practices to transform your data science projects into scalable, maintainable, and collaborative solutions.

If you are able to contribute, it will go to support OpenIntro (not the author), a US-based nonprofit working to spread open materials, e.g. by providing desk copies to instructors considering this text. This listing is in collaboration with the textbook's author, Jim Hefferon. Linear Algebra's official websitePaperbacks are $22openintro.org

Haskell for FPGA Hardware Design: Use abstractions like monads and lenses to implement 1970's retro-computing devices like arcade machines and home computers.

Learn databases from the bottom up by coding your own, in small steps, and with simple Go code (language agnostic).Atomicity & durability. A DB is more than files!Persist data with fsync.Crash recovery.KV store based on B-tree.Disk-based data structures.Space management with a free list.Relational DB on top of KV.Learn how tables and indexes are related to B-trees.SQL-like query language; parser & interpreter.Concurrent transactions with copy-on-write data structures.

This book brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization. The skills taught in this book will lay the foundation for you to begin your journey learning data science. Printed copies of this book are available through Lulu.

A how-to field guide on building leak-free abstractions and algebraically designing real-world applications.

From Zero to Production with Spring Boot and AWS. All you need to know to get a Spring Boot application into production with AWS. No previous AWS knowledge required. Go to stratospheric.dev for a tour of the contents. (Spanish translation of Stratospheric)

Real software architectures, documented with the arc42 template. Helps you jumpstart your own documentation.