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Python

  1. Introdução à Programação em SIG
    Introdução à Programação em SIG
    Um Guia Prático de Python para Ferramentas Geoespaciais de Código Aberto
    Qiusheng Wu

    Desbloqueie o poder dos dados geoespaciais com Python! Este guia prático foi desenvolvido para iniciantes e usuários intermediários que desejam explorar a análise espacial e a cartografia interativa com ferramentas de código aberto. Você aprenderá a trabalhar com dados do mundo real por meio de exemplos práticos e desenvolverá habilidades em programação Python, análise vetorial e matricial, mapeamento web e computação em nuvem. Seja você um estudante, pesquisador, profissional de SIG ou cientista de dados, este livro o equipará com as ferramentas necessárias para enfrentar desafios geoespaciais com confiança.

  2. GIS 프로그래밍 입문
    GIS 프로그래밍 입문
    오픈 소스 지리공간 도구를 위한 실용적인 파이썬 가이드
    Qiusheng Wu

    Python으로 지리공간 데이터의 힘을 발견하세요! 이 실습 중심 가이드는 공간 분석과 인터랙티브 맵핑을 배우고자 하는 초보자 및 중급 사용자에게 적합합니다. 실전 예제와 실제 데이터를 통해 Python 프로그래밍, 벡터 및 래스터 분석, 웹 지도 제작, 클라우드 컴퓨팅까지 배울 수 있습니다. 학생, 연구자, GIS 전문가, 데이터 과학자 모두가 지리공간 문제를 자신 있게 해결할 수 있도록 도와드립니다.

  3. Introduction à la programmation SIG
    Introduction à la programmation SIG
    Un guide pratique de Python pour les outils géospatiaux open source
    Qiusheng Wu

    Libérez la puissance des données géospatiales avec Python ! Ce guide pratique s’adresse aux débutants et utilisateurs intermédiaires désireux d’explorer l’analyse spatiale et la cartographie interactive à l’aide d’outils open source. Grâce à des exemples concrets et des données réelles, vous apprendrez à manipuler des données spatiales, à programmer en Python, à analyser des données vectorielles et matricielles, à créer des cartes web interactives, et à utiliser le cloud computing. Étudiant, chercheur, professionnel des SIG ou data scientist : ce livre vous donnera les outils pour relever les défis géospatiaux avec assurance.

  4. GISプログラミング入門
    GISプログラミング入門
    オープンソース地理空間ツールのための実践的Pythonガイド
    Qiusheng Wu

    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。

  5. Introducción a la Programación GIS
    Introducción a la Programación GIS
    Una Guía Práctica de Python para Herramientas Geoespaciales de Código Abierto
    Qiusheng Wu

    ¡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.

  6. GIS编程入门
    GIS编程入门
    开源地理空间工具的 Python 实用指南
    Qiusheng Wu

    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。

  7. Mastering CatBoost: The Hidden Gem of Tabular AI
    Mastering CatBoost: The Hidden Gem of Tabular AI
    Harness the Power of CatBoost for Tabular Data and Beyond
    Valery Manokhin

    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 handlingstrong 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.

  8. Mastering Performant Code
    Mastering Performant Code
    Efficiency, Profiling and Data Structures in Python
    Jayasimha Raghavan

    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.

  9. Python GUI with Tkinter – From Beginner to Pro
    Python GUI with Tkinter – From Beginner to Pro
    A Complete Guide to Building Modern Desktop Applications with Tkinter, Canvas, SQLite, and OOP
    Roberto Stepic

    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.

  10. Python Data Science Cookbook
    Python Data Science Cookbook
    Practical solutions across fast data cleaning, processing, and machine learning workflows with pandas, NumPy, and scikit-learn
    GitforGits | Asian Publishing House

    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.

  11. ByteSizedBakes
    ByteSizedBakes
    Shanila Farihan Zaara

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

  12. Building Systems Like a Senior Engineer

    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.

  13. Automatiza tu Desarrollo Web con ChatGPT y GitHub Copilot

    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!

  14. The Alpha Framework: Simulating Coherence Across Collapse

    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.

  15. Fieldcraft: Glyphs, Echoes, and the Geometry of Return

    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.