Books

Unlock the power of DuckDB for modern geospatial analytics. This hands-on guide helps GIS professionals master efficient spatial data management, transforming massive real-world datasets into powerful insights using SQL, Python, and DuckDB’s spatial extension. Full-color print edition is available on Amazon.

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.

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.

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.

Die meisten Unternehmen können schnell liefern, aber nur wenige können sich in großem Maßstab anpassen.The Cybernetic Enterprise stellt ein einheitliches Betriebsmodell vor, das KI, Rückkopplungsschleifen und Plattform-Denken in die DNA Ihrer Organisation einbettet. Erfahren Sie, wie Sie ein System aufbauen, das Veränderungen wahrnimmt, kontinuierlich lernt und Disruption in strategische Vorteile verwandelt.

Learn how to apply the Clean Architecture. The book strongly focuses on practical aspects and is illustrated with tons of code snippets. Code samples are in Python.

Learn how to build your own AI application step-by-step. A hands-on guide to AI development with local LLM inference

Learn to build different patterns using Pulumi in AWS using python. API gateway, Kubernetes, CDN using S3, Route53 DNS and more. Practical examples from a real world practitioner.

Manfaatkan kekuatan data geospasial dengan Python! Panduan praktis ini dirancang untuk pemula dan pengguna menengah yang ingin menjelajahi analisis spasial dan pemetaan interaktif menggunakan alat sumber terbuka. Anda akan belajar bekerja dengan data dunia nyata melalui contoh praktis dan membangun keterampilan dalam pemrograman Python, analisis vektor dan raster, pemetaan web, dan komputasi awan. Baik Anda mahasiswa, peneliti, profesional GIS, atau ilmuwan data, buku ini akan membekali Anda untuk menghadapi tantangan geospasial dengan percaya diri.

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。

Learn how to create amazing lightweight user interfaces using Python and Textual in your terminal! You will learn the basics of Textual and then create ten different applications.

A beginner-friendly introduction to machine learning with Python, that is based on the PyCaret and Streamlit libraries. Readers will delve into the fascinating world of artificial intelligence, by easily training and deploying their ML models!

Python's best kept secret is its built in support for functional programming. Even better, it allows functional programming to be blended seamlessly with procedural and object oriented coding styles. This book explains what functional programming is, how Python supports it, and how you can use it to write clean, efficient and reliable code.

A pattern language for event sourced applications and reliable distributed systems. Examples are written in the Python programming language. Now includes event-oriented introductions to the pattern language scheme of Christopher Alexander, the process philosophy of Alfred North Whitehead, and the person-centred psychology of Rogers and Rosenberg.

Large Language Models are powerful, but they're trapped. They can't access real-time data, call APIs, or even count characters reliably. *Practical MCP* is your guide to setting them free. Learn the Model Context Protocol (MCP), the "USB-C for AI" that standardizes how LLMs connect to the outside world. This book teaches Python developers everything they need to build, secure, and deploy powerful AI tools. You'll master integrating with Claude, Gemini, and GPT; create interactive tools that ask for clarification; and automatically generate an MCP interface for any REST API. Go from a simple "Hello, World" to deploying a full-stack, multi-service AI application in the cloud. Stop hitting the LLM wall. Start building the solutions. This book shows you how.