Books

Talking about theory without implementation or only programming without principle explanations is difficult for people to understand the principles of deep learning. This book uses theoretical explanations and code implementations to explain the principles of deep learning and how to write a deep learning library from scratch.

Contains 1000 pages, 186 Pattern with 888 Examples

Usar IA para programar es fácil. Usarla sin perder el control, no tanto. Spec-Driven Development es el método para convertir tu idea en una spec que la IA ejecuta con precisión — sin loops infinitos, sin código roto, sin empezar de cero.

This book aims to help you get started with handling strings in R. It provides an overview of several resources that you can use for string manipulation. It covers useful functions in packages "base" and "stringr", printing and formatting characters, regular expressions, and other tricks.

Master AI-powered infrastructure automation with this hands-on guide to building production-ready MCP servers and AI agents in Go. Transform from manual AWS operations to intelligent automation that understands your environment and makes smart decisions while keeping humans in control.

Presenting the Liu He Ba Fa Quan Routine of Masters Liang Zhipeng, Sun Di and Moy Linshin for the first time in writing, With detailed descriptions and pictures of every movement of the routine.For all students of Moy Linshin, Sun Di, LIang Zhipeng or their students.

A leader at a company opens Slack one morning. The brief their virtual employee wrote looks normal: same headers, same prose voice, same cadence as every other brief that week. The last line ends mid-sentence. The API returned `stop_reason: "max_tokens"`. The system shipped it anyway. No exception. No log line. No retry. That bug doesn't look like the normal kind. This book is about why, and what to build instead.

Discover the secrets of the Solidity smart contract language. From type conversions to the EVM internals, this book has it all covered. After all, it's named "All About Solidity" for a reason! And like any open-source protocol, the book gets regularly updated. Bought an old version? You can re-download the updated version afterwards at no cost!

If we treat our IDE as a text editor, we do ourselves a disservice. Using a combination of tutorials and a questions-and-answers approach, Getting to Know IntelliJ IDEA will help you find ways to use IntelliJ IDEA that enable you to work efficiently and productively as a professional developer.

Understanding Kubernetes can be difficult or time-consuming. I've created this collection of sketchnotes about Kubernetes in order to explain the Cloud technology in a visual way.

Master performance testing and JMeter with this book written by three members of Apache JMeter's team who are also experts in the performance field.You will deeply understand how to get the most out of it, be more productive and integrate it into your Agile/DevOps processes.

The latest version of Rust (1.85) has some great new features, like async closures, more stable associated function return types, and const generics that are now mature enough to underpin serious numerical libraries. The linfa and smartcore ecosystems have developed into decent classical machine learning stacks. The Burn training framework feels native to Rust, not like it's been ported from it. The Candle makes it so that loading pre-trained transformer models is more of an engineering task than a research exercise. The crates that used to need all sorts of workarounds now just work.

This third edition covers Rust 1.85 and the Rust 2024 Edition in full. The new chapters on concurrency, the 2024 edition migration, GPU computing, Go integration, and Linux kernel programming show where the Rust community has moved since the second edition, and where systems programming as a discipline is heading. You might be writing your first Rust function or your hundredth production service, but I hope this book makes the language feel less like a puzzle and more like a tool you are already familiar with. That was the only goal I had when I wrote it.

This book is for anyone who wants to feel more confident. Over eleven chapters, we put together a single sample application, and we watch it grow from a simple table used by one employee into a more complex system that's divided into different parts, has backups, is secure using OAuth, and is audited.

Learn Polars, the pandas killer for data analysis.