Books

Introducing Your Guide to Learning Python Illustrated Guide to Learning Python is designed to bring developers up to speed quickly. You will learn warts, gotchas, best practices and hints that have been gleaned through the years in days. You will hit the ground running and running in the right way.

Learn Wagtail CMS from scratch! This book will teach you how to build a modern blog with Wagtail CMS

ReportLab has been around since the year 2000 and has remained the primary package that Python developers use for creating reports in the PDF format. It is an extremely powerful package that works across all the major platforms. This book will also introduce the reader to other Python PDF packages.

This book teaches Python and how to write applications in Python by example.

Make Art with Python was written to teach creative people the joy of computer programming. If you've tried to learn programming with traditional books or online courses, only to get stuck, this book is for you. With step by step, visual programs, we teach the fundamentals of computer programming so creative people can understand.

Data science is a growing field. Want to learn the popular python programming language to do data mining, this is the book to grab.

Learn to scale your data science projects from comfort of your development laptop to production scale on the Google and Amazon Clouds. Learn Python for Data Science. Setup Google Cloud Datastore, Firebase, and DynamoDB. Use Neo4j and Open Refine in your workflow.

Większość podręczników programowania uczy konkretnych języków. Niniejszy podręcznik pomaga w nauce programowania, umożliwiając poznawanie języka Python niejako przy okazji.

This book is the simple and definitive guide to the Python 3 Object Oriented Programming. Other book of the similar genres make use of complicated writing style and examples to introduce the readers to the OOP in Python 3. However, this book uses Simple language to explain concepts. It is aimed at intermediate learners who already know Python.

Understand the whole process of what is Natural Language Processing, not just bits and pieces. Build practical application, with real-world data. Crawl, clean, build models, fine-tune and deploy.

Python is one of the top 3 tools that Data Scientists use. One of the tools in their arsenal is the Pandas library. This tool is popular because it gives you so much functionality out of the box. In addition, you can use all the power of Python to make the hard stuff easy! 

A series on writing effective, idiomatic pandas.

Learn to use Apache Spark for Analyzing OpenStreetMap and other Geospatial Data

Modules, Packages, Magic Methods, Idiomatic Python, Linting, Logging, Comprehensions, Concurrency, Parallelism, Threads, Testing... it's all here Note: this is Python 3.5 we're dealing with here. Not 2.x of any kind.