Learning Python Data Visualization

Chad Adams

ISBN 10: 1783553332 / ISBN 13: 9781783553334

Published by Packt Publishing, 2014

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering. Seller Inventory # 9781783553334

Bibliographic Details

Title: Learning Python Data Visualization

Publisher: Packt Publishing

Publication Date: 2014

Binding: Taschenbuch

Condition: Neu

About this title

Synopsis:

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.

What You Will Learn

• Build different types of Python charts and graphs
• Master how to build Python graphics libraries
• Test and validate your data sources
• Explore common Python libraries for charts and graphics
• Build charts using dynamic data from offline and online sources
• Use CSS to modify embedded SVG images in HTML pages
• Install and write Python code on Windows, Mac, or Linux
• Discover how to install and reference libraries in Visual Studio or Eclipse

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.

About the Author:

Chad Adams

Chad Adams is a web and mobile software developer based in Raymore, Missouri, where he works as a mobile frontend architect creating visually appealing application software for iOS, Windows Phone, and the Web. He also creates project build systems for large development teams using programming languages such as Python and C#. He has a B.F.A. in Commercial Art and a Microsoft certification in HTML5, JavaScript, and CSS3. He has also spoken at conferences on topics that include Windows Phone development and Google Dart. In his off hours, Chad enjoys relaxing at his home and spending time with his wife, Heather, and son, Leo.