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  1. Introduction to GIS Programming
    A Practical Python Guide to Open Source Geospatial Tools
    Qiusheng Wu

    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.

  2. Learn how to vibe code video games with Python, pygame and AI

  3. Discrete Mathematics for Computer Science
    Alexander S. Kulikov, Alexander Golovnev, Alexander Shen, Vladimir Podolskii, and Marie Brodsky

    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.

  4. Creating AI Agents with MCP - Model Context Protocol
    Part of the series, "The Only Book You'll Need On..."
    Lydia Evelyn and Bruce Hopkins

    Get started quickly, creating applications for the Model Context Protocol (MCP) using the official MCP SDKs for Python, Java 21, and Node.js. Quickly master, all of the concepts needed in order to build MCP servers, including transport protocols, tools, resources, prompts, roots, and sampling. Learn how to get familiar with popular MCP client applications such as, Claude Desktop, Postman, and the MCP Inspector.

  5. 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. Production Ready Data Science
    From Prototyping to Production with Python
    Khuyen Tran

    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.

  7. Interpreting Machine Learning Models With SHAP
    A Guide With Python Examples And Theory On Shapley Values
    Christoph Molnar

    Master machine learning interpretability with this comprehensive guide to SHAP – your tool to communicating model insights and building trust in all your machine learning applications.

  8. A QuantLib Guide
    An introduction to the usage of the QuantLib library
    Luigi Ballabio
    No Description Available
  9. The Cybernetic Enterprise
    How to Build a Future-Ready Organization
    Romano Roth

    Most enterprises can deliver fast, but few can adapt at scale.The Cybernetic Enterprise introduces a unifying operating model that embeds AI, feedback loops, and platform thinking into the DNA of your organization. Learn how to build a system that senses change, learns continuously, and transforms disruption into strategic advantage.

  10. Architecting Neuro-Symbolic Agents with Python Programming
    Integrating LLMs, Wolfram Alpha, IBM Watson and Open Source Stacks for Near-Zero Hallucination Systems
    Edgar Milvus

    What You Will Master: The Enterprise Stack: Google Gemini + Wolfram + Watson. The Open Source Stack: Llama 3 + SymPy + ChromaDB (fully offline). The Outcome: Self-healing, near-infallible agents that never lie about data

  11. Introduzione alla Programmazione GIS
    Guida Pratica in Python agli Strumenti Geospaziali Open Source
    Qiusheng Wu

    Sblocca la potenza dei dati geospaziali con Python! Questa guida pratica è pensata per principianti e utenti intermedi desiderosi di esplorare l’analisi spaziale e la mappatura interattiva utilizzando strumenti open source. Imparerai a lavorare con dati reali attraverso esempi pratici e a sviluppare competenze in programmazione Python, analisi vettoriale e raster, web mapping e cloud computing. Che tu sia studente, ricercatore, professionista GIS o data scientist, questo libro ti fornirà gli strumenti per affrontare con sicurezza le sfide geospaziali.

  12. 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.

  13. Mastering Postman, Second Edition
    Expert walkthrough to build end-to-end APIs including testing, integration and automation
    GitforGits | Asian Publishing House

     Postman 11 revolutionizes API development with its enhanced scripting capabilities and real-time collaboration tools. The book seamlessly integrates these new features into the content to ensure you learn both the fundamentals of API development and the latest technology. The chapters are structured with a heavy focus on real-world applications. I believe that the most effective way to learn is through practical examples, exercises, and real-life situations. From initial API design to security protocol implementation and performance testing, this book will walk you through every step of the process, ensuring that your APIs are secure, scalable, and reliable. 

  14. Practical Python Backend Programming
    Build Flask and FastAPI applications, asynchronous programming, containerization and deploy apps on cloud
    GitforGits | Asian Publishing House

    Whether you're a seasoned Python developer, a non Python programmer venturing into Python's vast landscape, a full stack developer looking to improve your backend skills, or a new web developer starting out, this book is for you. "Practical Python Backend Programming" is a path towards designing and deploying powerful and efficient applications.

  15. 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。