Beginning Python Visualization

Beginning Python Visualization

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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 youa€™ll learn about Spyder, which is a Python IDE with MATLABAr -like features. Here and throughout the book, youa€™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, youa€™ll learn about matplotlib in detail; this includes creating 3D graphs and using the basemap package that allows you 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 a€“ like you - will find this updated book very relevant. What youa€™ll learn How to present visual information instead of data soup How to set up an open source environment ready for data visualization How to do numerical and textual processing How to draw graphs and plots based on textual and numerical data using NumPy, Spyder and more How to explore and use new visual libraries including matplotlib's 3D graphs and basemap package How to build and use interactive visualization using IPython Who this book is for IT personnel, programmers, engineers, and hobbyists interested in acquiring and displaying data from the Web, sensors, economic trends, and even astronomical sources. Table of Contents1. 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... or one of the other methods suggested next (or Linux), there are bound to be packages that require a manual installation, so knowing how to do a manual package install is of value. ... This VM also has a free version, named VMware Player.

Title:Beginning Python Visualization
Author: Shai Vaingast
Publisher:Apress - 2014-08-19

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