Books

Crack the really hard topics in Python once for all. And, yes, this book starts each chapter from scratch.

Working with Go effectively, requires proficiency and understanding beyond learning the simple syntax. It can take developers months or even years to acquire this experience, especially those coming from OOP. This book sets out to short-circuit that process and get you there faster! Includes Generics.

Biological Data Science with R covers data manipulation with dplyr, visualization with ggplot2, essential statistics, survival analysis, RNA-seq analysis, phylogenetic trees, predictive modeling and infectious disease forecasting, text mining and natural language processing, and more.

In this book you will learn the following: Build Console appsCreate Web APIsTest your codeCreate and publish reusable packages that others can consumeOrganize your files in a projectWork with files and directoriesParse text with the string library and regular expressions.

Cheat sheets can be a really helpful resource when you're learning a new language. They remind you of the syntax and concepts you've just learned, so you can focus on writing your own code instead of rereading sections of a book or rewatching parts of a video.

All examples in Hy. The Hy language (Lisp that compiles to Python) allows Lisp programmers access to the rich Python ecosystem for Large Language Models, deep learning, artificial intelligence, and general data wrangling. Applications: LangChain, Knowledge Graphs, NLP, Deep Learning.

Fifteen years after the publication of "Domain-Driven Design: Tackling Complexity in the Heart of Software" by Eric Evans, DDD is gaining more adoption than ever. To celebrate the anniversary, we've asked prominent authors in the software design world to contribute old and new essays.

Stretch your thinking! Children are great assets in society with marvelous transformational power. Have mutual leadership with children, including your own inner child. Start with others in your immediate neighborhood as a first step in building up a happier world together!

What if mathematics has been hiding in plain sight all along?A snowflake, a flower, a melody, a crowded street, a city map, a social network, or even a recommendation on your phone — they may seem completely unrelated. But underneath them are patterns, structures, probabilities, and mathematical ideas that quietly shape the world around us.Patterns We Don’t See is an accessible journey into the mathematics of everyday life. You won’t find pages of complicated formulas or a traditional textbook approach. Instead, you’ll discover why certain shapes appear in nature, how music is connected to mathematics, why coincidences feel so surprising, how cities and social networks can be understood as mathematical systems, and how algorithms and artificial intelligence learn to recognize patterns.Written from the perspective of a young engineering student, this book grew from a simple habit: looking at ordinary things and asking, “Where is the mathematics here?”The answer turns out to be: almost everywhere.If you have ever thought that mathematics was only about equations, Patterns We Don’t See invites you to look again.The world hasn’t changed. Only the way we look at it has.

What keeps planets locked in graceful ellipses instead of spiraling into space? Orbital Mechanics with R takes readers beyond formulas and into a hands-on universe where every law of motion is derived, tested, and visualized through simulations they can run themselves.Blending physics, astronomy, and computation, the book explores everything from Kepler's laws and binary stars to chaotic triple-star systems and retrograde motion. Rather than treating orbital mechanics as abstract mathematics, it turns the subject into a laboratory where readers can watch gravity unfold, measure its consequences, and discover where simple Newtonian models succeed, fail, and reveal deeper truths.Whether you're an R user curious about physics or a physics student eager to compute, this book offers a rare combination of rigorous derivation, real astronomical applications, and fully reproducible code that brings the mechanics of the cosmos to life.

Frank Herbert's most quoted sentence has two halves, and almost nobody finishes it. The half that gets dropped says the machines never acted: whoever owns them collects what you handed over. This book is about who that is now, and what ordinary people can still do about it.

Learn to design, build and govern agentic systems as you prepare for the Google Cloud Professional Agentic Architect exam. Study practical architectures and worked examples, then test your understanding with 100 original questions aligned with the public exam objectives.

Installing safety hooks for Claude Code takes about thirty seconds. Proving they actually refuse anything is the step almost everyone skips — and an unverified guard looks exactly like a working one. Free: the pre-flight checklist, which event can refuse a tool call and which only watches, how to make a guard fire on purpose, what a broken hook does, and a catalogue of all 916 example hooks in cc-safe-setup.