Books

本書籍は、振る舞い駆動開発(BDD)や受け入れテスト駆動開発(ATDD)の定式化フェーズを最大限に活用する方法を提供します。 書籍内では、優れたコラボレーション手法を具体例で示しており、実用的なガイドとなっています。

Bu kitap, kendime yazdığım bir hatırlatma notu gibi başladı.Zamanla, sadece bana değil, birçok insana iyi gelebileceğini fark ettim. Mükemmel değil.Formül yok.Ama samimi, dürüst ve denenmiş satırlar. Dilerim senin gecelerine de iyi gelir. — Daron

A hands-on introduction to IPC in real-time 3D Applications using modern C++, gRPC, and OpenUSD, featuring a practical LiveLink pipeline between Autodesk Maya and a custom USD viewer.

Learn to think like AI through a working LLM you build yourself. Battle-tested systems thinking from Cray Research applied to modern AI. Accomplish what others consider impossible.

For centuries, scientists have been trying to envision the future of hospitals. Following the recent shift towards digital health technologies, it is natural for one to wonder how these developments will impact hospitals. What can we expect from them in the future? Will there be hospitals at all in a decade’s time?

Takes you from “how to use Kotlin” into “how Kotlin really works,” revealing the internal implementations, desmifying bytecodes and compiler behavior, and internals that shape the language. If you want to write smarter, more confident Kotlin across fundamentals, coroutines, and multiplatform, this is the book that shows you why everything is the way it is. Hardcover | Paperback | ISBN: 979-8243872744 [Course] Practical Kotlin Deep Dive Course

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.

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.

Hands on Labs to prepare you for a career in Linux or system engineering. Built by the Professional Linux User's Group to focus on exactly what the professional needs in the enterprise.

Now we have made it to the kernel. Let's assume you have a chip, any chip, from the suppliers we've just discussed. You might choose to manually load a kernel onto that chip, using a GRand Unified Bootloader (GRUB) to load (or strap) the kernel, and pass all permissions over to it. It is the animus in the machine. There are many different kernels, but they share one interesting characteristic to security: they run with the highest level of access, mediating interactions between user applications and the physical chips. A good kernel will handle low-level tasks like CPU scheduling, memory allocation, device input/output, and system calls. It is the bridge between software and hardware: if the kernel fails to load or crashes, the entire system will halt. To make this level of access a bit safer, the kernel is designed to be always resident in memory, and execute in a protected mode that is isolated from applications. This prevents damage to core system data...

"If you intend to use machine learning to solve business problems at scale, I'm delighted you got your hands on this book." —Cassie Kozyrkov, Chief Decision Scientist at Google "Foundational work about the reality of building machine learning models in production." —Karolis Urbonas, Head of Machine Learning and Science at Amazon

This book supplements the DM for CS Specialization at Coursera and contains many interactive puzzles, autograded quizzes, and code snippets. They are intended to help you to discover important ideas in discrete mathematics on your own. By purchasing the book, you will get all updates of the book free of charge when they are released.

Learn how to automatically and continuously upgrade and improve your PHP code base

Iterativ, inkrementell. lernend. Agiles Arbeiten erfordert die regelmäßige Reflexion des eigenen Handelns und die Vereinbarung neuer Maßnahmen und Teamregeln. Retrospektiven sind die Methode der Wahl. Retrospktiven folgen sechs Phasen, welche passend zur Team- und Projektphase zu gestalten sind. Mit "Erfolgreiche Retrospektiven" erläutert Judith Andresen das Vorgehen im Allgemeinen und stellt über 90 Methodenbausteine für die tägliche Arbeit vor