Books

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.

Learning a new language can be tricky: different syntax and idioms often makes it hard to dive in quickly into the matter.This book is written to help you learn Python by relating things back to PHP.

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! 

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.

Tips and tricks for Web Application Developers, Professional Penetration Testers and Security Analysts on how to perform a generic and custom Web Application Penetration testing using Python.

Have you heard the Raspberry Pi is a great tool to ignite student STEM/STEAM learning? Not sure how to use it in your classroom? This book is designed specifically for educators with no prior experience working with the Raspberry Pi, computer programming, or electronics. The goal is to help you understand how to bring the maker movement into your classroom by building, thinking, and creating with the Raspberry Pi.

Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello World! to optimizing one genetic algorithm with another, and finally genetic programming; thus preparing you to apply genetic algorithms to problems in your own field of expertise.

Want a quick start way of generating those reports you've been asked for about the performance of your FutureLearn course? Or maybe fancy the idea of pulling together a simple dashboard to review course progress? This recipe book should get you started...