Python

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.

Break free from expensive cloud APIs and reclaim your digital sovereignty by running powerful LLMs locally. Master the professional stack—from vLLM serving and Unsloth fine-tuning to advanced quantization on consumer GPUs. Build secure, lightning-fast AI applications that protect your data and eliminate recurring token fees forever. Stop renting your intelligence and start building a private, autonomous future on your own hardware.

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。

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.

LangChain 4 Beginners teaches you how to build real Generative AI applications by treating LLMs as stateless components and RAG as a system architecture—not magic. Learn how embeddings, vector search, and retrieval pipelines actually work, and build your first production-ready RAG application step by step.

Machine learning doesn’t fail in theory—it fails in production. This book shows you how to build PyTorch systems that remain robust when data shifts, assumptions break, and reliability matters.

In this book, we will see how we can connect a Local AI (local LLM) using Python to do whatever you want; in the book, we will create a chat.