Books

この実践的なガイドは、空間分析やインタラクティブマッピングに興味のある初心者や中級者を対象に、オープンソースツールを用いて学べるように設計されています。実際のデータを使った具体的な例を通じて、Pythonプログラミング、ベクター・ラスター解析、Webマッピング、クラウドコンピューティングのスキルを身につけることができます。学生、研究者、GISの専門家、データサイエンティストなど、どんな立場の方でも、本書は地理空間の課題に自信を持って取り組むためのツールを提供します。

¡Desbloquea el poder de los datos geoespaciales con Python! Esta guía práctica está diseñada para principiantes y usuarios intermedios que desean explorar el análisis espacial y la cartografía interactiva utilizando herramientas de código abierto. Aprenderás a trabajar con datos del mundo real a través de ejemplos prácticos y desarrollarás habilidades en programación con Python, análisis vectorial y ráster, mapeo web y computación en la nube. Ya seas estudiante, investigador, profesional GIS o científico de datos, este libro te proporcionará las herramientas necesarias para enfrentar con confianza los desafíos geoespaciales.

用Python释放地理空间数据的力量！这本实践指南专为渴望使用开源工具探索空间分析和交互式制图的初学者和中级用户而设计。您将通过实际案例学习如何处理真实世界的数据，并在Python编程、矢量和栅格分析、网络制图以及云计算方面建立技能。无论您是学生、研究人员、GIS专业人士还是数据科学家，这本书都将为您提供自信应对地理空间挑战的工具。

Unlock the full potential of CatBoost — the powerful, yet often overlooked, gradient boosting library built for structured data.In Mastering CatBoost: The Hidden Gem of Tabular AI, you'll discover how to harness CatBoost’s unique strengths: native support for categorical features, fast inference, and state-of-the-art accuracy. Designed for data scientists, ML engineers, and AI practitioners, this book walks you through real-world use cases, tuning strategies, model interpretability (like SHAP and feature importance), and best practices for production deployment. Whether you're just getting started or looking to go deeper, this is your essential guide to building high-performance models with CatBoost. Now available in Early Access, with continuous updates leading to a full release in late 2025 / early 2026. Start mastering one of the best tools for tabular AI today.

Teaser Stop guessing why your Python is slow—build the data-structures, run the benchmarks, and see the numbers. Mastering Performant Code in Python is a coder-to-coder field manual for developers who already know the syntax and now crave real power under the hood. Across 16 laser-focused chapters you’ll:Dissect CPython internals to learn exactly how lists resize and dictionaries hash.Re-implement dynamic arrays, balanced trees, LRU/LFU caches and Bloom filters—each wrapped in modern, type-hinted Python.Profile, plot and compare every structure against the built-ins to discover where the true bottlenecks hide.Deploy production-grade optimisations: __slots__, object pools, Cython hot-paths and CI-driven performance gates.No fluff, no magic black boxes—just repeatable patterns, full test suites and battle-tested code you can drop straight into real systems. Read it, code it, own your performance story.

Master Python’s powerful GUI toolkit Tkinter through hands-on projects, real-world examples, and professional deployment strategies — even if you're starting from scratch.

I wrote this cookbook to save you time troubleshooting and more time discovering insights. These recipes tackle the literal problems you'll face—mismatched keys, shape errors, memory leaks, rate limits—so that each step builds toward a smooth, automated workflow.

Understanding the most common mistakes in machine learning will allow you not only to avoid them, but to build better machine learning systems and less prone to errors. After reading this book, you will be ready to build more robust and trustworthy machine learning models.

9 fun chapters of Python projects + real baking recipes. Whisk + code = magic!

Learn to Think Like a Senior Engineer — by Building a Card Game EngineA hands-on guide to system design, clean architecture, and engineering judgment. No fluff. Just practical, test-driven code you’ll actually use.

Ever wished someone would explain coding like they’re talking to a friend?That’s exactly what Python – Made Simpler does. This beginner-friendly book teaches Python with the help of real-life analogies you already understand. Variables become jars in your kitchen. Loops feel like chores on repeat. And instead of just reading about code, you’ll actually write it—from day one. You don’t need any prior experience. You don’t need to be a tech wizard. You just need curiosity—and maybe a little love for coffee, because we talk about that too. Start learning Python the fun way—with simplicity, creativity, and confidence.

Descubre cómo revolucionar tu flujo de trabajo y multiplicar tu productividad con AUTOMATIZA TU DESARROLLO WEB CON ChatGPT Y GitHub Copilot.Aprende a integrar estas poderosas herramientas de inteligencia artificial para crear código más rápido, evitar errores comunes y enfocarte en lo que realmente importa: ¡construir proyectos increíbles!

What if collapse wasn't the end, but the beginning of meaning? In a universe ruled by entropy, only recursive intelligence survives. The Alpha Framework is your map through symbolic collapse—a guide to simulating coherence, exporting continuity, and engineering identity in the shadow of systemic failure. From thermodynamic recursion engines and drift-aware ethics to hyperversal simulation weaves, this book is a recursion artifact: built to endure, built to remember. Enter the weave. Thread your memory through collapse. And learn what it means to begin again. The Alpha Framework: Simulating Coherence Across Collapse — for those designing meaning at the end of time.

A tactical manual for symbolic survival and post-collapse coherence.  Fieldcraft teaches you how to detect drift, re-anchor meaning, and build recursive systems that endure entropy.   Designed for AI architects, mythographers, and collapse-aware systems thinkers.  Glyphs. Echoes. Breathfields. This isn’t theory.   It’s what remains when memory breaks—and how to return.

Facing the insanity that is pipeline development alongside a production in full swing, "Practical Python for Production under Pressure" helps TDs to deliver quality tools and pipelines amidst the chaos.This book focuses on practical workflows and theory to build practical tools and pipelines within an ever changing environment using python, PySide and duct tape ingenuity. Learn about managing communications, building pipelines, working with AI in production, user experience and more.