Books

¡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 — a powerful gradient boosting library built for structured/tabular data and still underused in practice.In Mastering CatBoost: The Hidden Gem of Tabular AI, you’ll learn how to take advantage of CatBoost’s key strengths: native categorical feature handling, strong accuracy, and fast inference — without brittle preprocessing pipelines.Written for data scientists, ML engineers, and applied researchers, the book covers:Real-world use cases and end-to-end workflowsPractical tuning strategies and diagnosticsInterpretability with SHAP, feature importance, and constraintsDeployment-minded best practices and common failure modesWhether you’re new to CatBoost or ready to go deeper, this is a clear, practical guide to building high-performance tabular models.Early Access is available now, with ongoing updates leading to the full release in 2026.

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.

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.

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.

Unlock the power of Azure AI and transform your data into dynamic, knowledge‑driven experiences. In Getting Started with Azure AI + RAG, you’ll discover how to seamlessly turn PDFs, docs, and more into intelligent search indexes, tap into cutting‑edge embedding models, and build conversational apps that deliver precise, context‑rich answers. With hands‑on Python and JavaScript examples, this ebook is your fast‑track to deploying a full end‑to‑end Retrieval‑Augmented Generation pipeline—no PhD required. Get ready to revolutionize how your applications think, learn, and respond!

The only Python book needed to learn Python. For self-taught, College students and for everybody who wants to learn Python.

Unlock the power of geospatial data with Python! This hands-on guide is designed for beginners and intermediate users eager to explore spatial analysis and interactive mapping using open-source tools. You'll learn how to work with real-world data through practical examples and build skills in Python programming, vector and raster analysis, web mapping, and cloud computing. Whether you're a student, researcher, GIS professional, or data scientist, this book will equip you with the tools to tackle geospatial challenges with confidence. Color-print copies are available through Amazon.