Kick off your book project in 3 hours! Live workshop on Zoom. You’ll leave with a real book project, progress on your first chapter, and a clear plan to keep going. Saturday, June 6, 2026. Learn more…
A how-to field guide on building leak-free abstractions and algebraically designing real-world applications.
A practical guide to fine-tuning Large Language Models (LLMs), offering both a high-level overview and detailed instructions on how to train these models for specific tasks.Get the paperback version here. Get the Kindle version here.
Naming is one of the most difficult and enduring challenges in software engineering, but few of us do it well. This practical and comprehensive book provides a set of principles, rules, and application guidelines for efficiently choosing good names in your code.
88 per cent of AI agent projects never reach production, not because the model failed, but because the harness around it was never built. This is the practitioner's handbook for engineers who deploy AI inside real organisations, covering the complete journey from discovery to handover with harness engineering as the core technical discipline.
The definitive guide on Lean-Agile forecasting that gives you all the tools you need in order to answer your customers' most important question.
This Packt bestseller will help you master the important areas of the Django framework as you build practical projects from scratch. You’ll learn how to progressively create more complex web apps and fill in gaps in the official documentation.
A thorough guide for programmers working with Japanese text, covering fundamental issues like tokenization and recent research topics like generating natural language texts. Working examples are accompanied by extensive reference to allow problem solving even without a background in Japanese or Machine Learning.
Far from the madding crowd: vibecoding agents, big companies, and promises of a perfect programming language (that never arrives)... your thoughts spring from your fingers and, through the keyboard, code takes shape.If you enjoy programming, you feel it tickle your brain cells. At times, you notice that something just "clicks." It's real - the satisfaction of learning. Not to get a job. Not to make apps in 5 minutes. Not to get rich reusing prompts. But for the pleasure of understanding, of digging deeper, and of building elegantly.Zig is a young language, still evolving - and that doesn't really matter. All languages change sooner or later. Everything becomes obsolete eventually, except your mind and what you truly learn along the way. That journey begins today with the first step, and it will go as far as your time, your mind, and your imagination take you. That's the spirit of Zen of Zig. $ zig zen * Communicate intent precisely. * Edge cases matter. * Favor reading code over writing code. * Only one obvious way to do things. * Runtime crashes are better than bugs. * Compile errors are better than runtime crashes. * Incremental improvements. * Avoid local maximums. * Reduce the amount one must remember. * Focus on code rather than style. * Resource allocation may fail; resource deallocation must succeed. * Memory is a resource. * Together we serve the users.
透過這本開創性的人工智慧應用程式架構專書,釋放AI在您應用程式中的強大潛力。探索實用的模式與原則,學習如何建構智慧型、具適應性且以使用者為中心的軟體系統,充分運用大型語言模型和人工智慧元件的優勢。
Eric Zimmerman's Tools are free, open-source, and widely taught around the world. This is the official manual for all of his command line and GUI tools.
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.
Most programmers never touch the machine.They live inside frameworks. They trust kernels. They inherit latency, abstraction, and hidden behavior they do not control.And they call that “systems programming.”Bare Metal Computing With X64 — Low Level Coding of Native Instructions is for the engineer who wants authority, not convenience
It seems like there's never been as much widespread desire before to learn JS. But with a million blogs, books, and videos out there, just where do you start? Get Started prepares you for the journey ahead, first surveying the language then detailing how the rest of the You Don't Know JS Yet book series guides you to knowing JS more deeply.
This practical handbook provides a step-by-step guide for you to get the best continuous delivery pipeline for your software.
Most enterprises can deliver fast, but few can adapt at scale.The Cybernetic Enterprise introduces a unifying operating model that embeds AI, feedback loops, and platform thinking into the DNA of your organization. Learn how to build a system that senses change, learns continuously, and transforms disruption into strategic advantage.