Learning Python Data Visualization

Master how to build dynamic HTML5-ready SVG charts using Python and the pygal library

About This Book

• A practical guide that helps you break into the world of data visualization with Python
• Understand the fundamentals of building charts in Python
• Packed with easy-to-understand tutorials for developers who are new to Python or charting in Python

Who This Book Is For

If you are a Python novice or an experienced developer and want to explore data visualization libraries, then this is the book for you. No prior charting or graphics experience is needed.

In Detail

The best applications use data and present it in a meaningful, easy-to-understand way. Packed with sample code and tutorials, this book will walk you through installing common charts, graphics, and utility libraries for the Python programming language.

Firstly you will discover how to install and reference libraries in Visual Studio or Eclipse. We will then go on to build simple graphics and charts that allow you to generate HTML5-ready SVG charts and graphs, along with testing and validating your data sources. We will also cover parsing data from the Web and offline sources, and building a Python charting application using dynamic data. Lastly, we will review other popular tools and frameworks used to create charts and import/export chart data. By the end of this book, you will be able to represent complex sets of data using Python.

Table of Contents

Chapter 1: Setting Up Your Development Environment
Chapter 2 : Python Refresher
Chapter 3 : Getting Started with pygal
Chapter 4 : Advanced Charts
Chapter 5 : Tweaking pygal
Chapter 6 : Importing Dynamic Data
Chapter 7 : Putting It All Together
Chapter 8 : Further Resources
Appendix: References and Resources