Books

Unlock the statistical foundations of machine learning. Learn probability, inference, and regression through practical examples

Satellites capture massive volumes of imagery every day, but turning pixels into insight requires AI. This book teaches you to build, train, and apply deep learning models to real satellite imagery using Python and open-source tools, with 23 chapters of executable code you can run today. All code examples are freely availabe at https://book.opengeoai.org.

A practical backend interview reference covering modern Python and Django development (397 manuscript pages).

We'll build an agent step-by-step, starting with a small loop that accepts input and produces structured output. As we go, we'll add tools, validation, model switching, runtime adapters, and packaging techniques that'll let the agent move from a simple script to a reusable application.

Learn Python step by step with a practical workbook designed for absolute beginners. This book combines clear explanations, visual flowcharts, exercises, and hands-on coding projects to help you understand programming from the ground up.

This book introduces students to the fundamentals of Python programming through a structured and practical learning approach. Designed for beginners, the book focuses on problem solving, algorithms, and core programming concepts using clear explanations and hands-on exercises. Readers will learn how to build Python programs step by step while developing computational thinking skills.

Your code deserves to be on PyPI. pip install yours is a step-by-step guide to packaging and publishing Python projects — from project structure to your first live release on PyPI.

Python has had type hinting support since Python 3.5, over TEN years ago! However, Python’s type annotations have changed repeatedly over the years. In Python Typing: Type Checking for Python Programmers, you will learn all you need to know to add type hints to your Python applications effectively.

For those who want to build controlled, reproducible AI systems entirely within their own infrastructure, this book is the most practical and implementation-focused trainer. Instead of relying on external APIs or cloud-hosted intelligence services, this book clearly demonstrates how Apache Spark can orchestrate data preparation, model training, batch inference, reporting, and LLM acceleration in a disciplined and transparent way.

Stop learning Python in bits and pieces. It’s time to master the full stack.From your first "Hello World" to deploying AI-powered microservices on the cloud, Python Era AI is the only resource you’ll ever need. Inside, you’ll find hundreds of real-world examples, "Full-Stack" capstone projects, and the latest 2026 industry best practices.Don't just write code—build the future. Are you ready to master the Python Era?

Python for engineers, by an engineer. Learn practical coding without complex theory. Automate Excel, visualize data, and build your own tools to finish work early. From basics to AI vision, transform your workflow and become a data-driven professional.

What if Python could take care of the repetitive work for you?This book shows you how to use Python to automate real tasks—from handling files and simple workflows to reducing everyday manual effort. Through clear explanations and practical projects, you’ll learn how to turn small scripts into useful tools you can apply immediately.If you’re ready to move beyond examples and start building automation that actually saves time, this book is for you.

Entfesseln Sie die Leistungsfähigkeit von DuckDB für moderne Geodatenanalyse. Dieser praxisnahe Leitfaden hilft GIS-Fachleuten, effiziente räumliche Datenverwaltung zu meistern und massive reale Datensätze mithilfe von SQL, Python und der räumlichen Erweiterung von DuckDB in aussagekräftige Erkenntnisse zu verwandeln. Eine farbige Druckausgabe ist auf Amazon erhältlich.

Libérez la puissance de DuckDB pour l’analytique géospatiale moderne. Ce guide pratique aide les professionnels du SIG à maîtriser une gestion efficace des données spatiales, en transformant d’énormes jeux de données réels en informations exploitables grâce au SQL, à Python et à l’extension spatiale de DuckDB. Une édition papier couleur est disponible sur Amazon.

释放 DuckDB 在现代地理空间分析中的强大能力。本书通过实践导向的方式，帮助 GIS 专业人员掌握高效的空间数据管理方法，利用 SQL、Python 以及 DuckDB 的空间扩展，将海量真实世界数据转化为有价值的洞察。全彩印刷版可在 Amazon 上购买。