Books

Skip the black-box frameworks. Build a production-grade AI coding agent from scratch in pure Python—cloud or local, tested with pytest, under 700 lines.

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.

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.

Desbloquea el poder de DuckDB para la analítica geoespacial moderna. Esta guía práctica ayuda a los profesionales de SIG a dominar la gestión eficiente de datos espaciales, transformando grandes conjuntos de datos del mundo real en conocimientos valiosos mediante SQL, Python y la extensión espacial de DuckDB. La edición impresa a todo color está disponible en Amazon.

¡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.

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.

日本語テキストを処理したい全てのプログラマ・エンジニアの方へ。分かち書きなどの基本から、自然言語生成などの最新の話題までをカバー。動かして学べるコードや、参照文献も付いています。言語学や機械学習の知識が無くても問題ありません。

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

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.

This book provides a guided tour of ML techniques utilized in process industry for plant health management. Step-by-step instructions, supported with industrial-scale process datasets, show how to develop ML-based solutions for equipment condition monitoring, plantwide monitoring, and predictive maintenance solutions. Also available at Google Play 

Whether you know Go or not, if you use Kubernetes, you can extend it to automate all sort of administrative tasks. This book is going to take you from zero knowledge to building a basic operator in BASH shell, rewriting it Go and giving you enough material to extend Kubernetes using Python too!

This book provides a practical guide to critical data science methods, focusing on their application in credit risk management. Using examples in R and Python, it presents step-by-step processes for applying various analytical techniques while highlighting the importance of aligning methods with the specific characteristics of the data. Designed for practitioners and those with foundational data science and banking knowledge, the book bridges theory and practice with real-world examples.

Create responsive front-end web applications in Python using the React and Material-UI JavaScript libraries, without having to program in JavaScript, by using the Transcrypt transpiler that turns your Python code into JavaScript.