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All the database you need

Need a fast, reliable SQL-compliant RDBMS? Just use Postgres! Need to work with geospatial data? Just use Postgres! Handling semi- or non-structured documents? Just use Postgres! Generative AI embeddings? You’ve got it—just use Postgres! Written for software engineers and database pros, this book shows you how to get the most out of the powerful PostgresSQL database. [Read more]

For programs that need to be small, fast, and reliable, C is the gold standard. Whether you’re writing embedded code, low-level system routines, or high-performance applications, C is up to the challenge. This unique book by Jens Gustedt, a member of the ISO C standards committee, gets you up to speed with C23. [Read more]

AI algorithms are the backbone of search and optimization problems, deep learning, reinforcement learning, and, of course, generative AI. But knowing which algorithm to use—and why—is often harder than writing the code itself. This book illuminates the algorithms behind modern generative AI with clear explanations, step-by-step code examples, and beautifully simple illustrations. [Read more]

When you need a language model to respond accurately and quickly about a specific field of knowledge, the sprawling capacity of a LLM may hurt more than it helps. This book teaches you to build generative AI models optimized for specific fields. You’ll learn to minimize the computational horsepower your models require, while keeping high–quality performance times and output. [Read more]

There’s no quick fix for security. It’s an engineering discipline, complete with tradeoffs, ownership boundaries, and operational consequences. This book teaches you the nuts-and-bolts of securing applications in modern environments. Rather than trusting in defaults, you’ll learn the security tools and practices proven to help defend your systems. [Read more]

A fast-paced introduction to the foundational ideas of software architecture, written for developers and aspiring architects. Creative illustrations and diagrams, hilarious disaster stories, “in action” missions, and a full repo of example code, teach you how to spot design mistakes and understand architectural tradeoff decisions. Along the way, you’ll also explore author Matt Erman’s 5-step Architectural Thinking Process for reliably turning vague business requests into clear, defensible technical decisions. [Read more]

4 chapters of this MEAP are available now, with more to follow soon!

Use an efficient AI-driven process to quickly and accurately make sense of any software project in just a few hours, complete with prompts, workflow pipelines, and mental models. Author and Microsoft AI researcher Zachary Huang argues that in an AI-first environment, the developers who thrive will be those who build architectural thinking rather than passively accepting AI’s output. The book transforms this thesis into a hands-on training program, reframing AI code’s flaws as workout opportunities for your skills as a developer. [Read more]

9 chapters of this MEAP are available now, with more to follow soon!