Beginning Python Visualization: Crafting Visual Transformation Scripts

by Shai Vaingast

Overview

We are visual animals. But before we can see the world in its true splendor, our brains, just like our computers, have to sort and organize raw data, and then transform that data to produce new images of the world. Beginning Python Visualization: Crafting Visual Transformation Scripts, Second Edition discusses turning many types of data sources, big and small, into useful visual data. And, you will learn Python as part of the bargain.

In this second edition you’ll learn about Spyder, which is a Python IDE with MATLAB® -like features. Here and throughout the book, you’ll get detailed exposure to the growing IPython project for interactive visualization. In addition, you'll learn about the changes in NumPy and Scipy that have occurred since the first edition. Along the way, you'll get many pointers and a few visual examples.

As part of this update, you’ll learn about matplotlib in detail; this includes creating 3D graphs and using the basemap package that allowsyou to render geographical maps. Finally, you'll learn about image processing, annotating, and filtering, as well as how to make movies using Python. This includes learning how to edit/open video files and how to create your own movie, all with Python scripts.

Today's big data and computational scientists, financial analysts/engineers and web developers – like you - will find this updated book very relevant.

Product Details

ISBN-13:	9781484200537
Publisher:	Apress
Publication date:	08/16/2014
Edition description:	2nd ed.
Pages:	416
Product dimensions:	7.50(w) x 9.20(h) x 0.80(d)

About the Author

Shai Vaingast has been an engineer, an engineering manager, and a director of engineering since 1993. He has worked in the defense industry and in medical engineering, while being heavily involved with data visualization. He holds a patent and has several others pending.

Table of Contents

1. Navigating the World of Data Visualization

2. The Environment

3. Python for Programmers

4. Data Organization

5. Processing Text Files

6. Graphs and Plots

7. Math Games

8. Business and Visualization

9. Image Processing

10. Advanced File Processing

11. Appendix