Beginning Python Visualization | Crafting Visual Transformation Scripts

Shai Vaingast

ISBN 10: 1484200535 / ISBN 13: 9781484200537

Published by Apress, 2014

About this Item

Beginning Python Visualization | Crafting Visual Transformation Scripts | Shai Vaingast | Taschenbuch | xxi | Englisch | 2014 | Apress | EAN 9781484200537 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 105210475

Bibliographic Details

• Title: Beginning Python Visualization | Crafting Visual Transformation Scripts
• Publisher: Apress
• Publication Date: 2014
• Language: English
• ISBN 10: 1484200535
• ISBN 13: 9781484200537
• Binding: Taschenbuch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 235W x 191H x 23D millimeters 235 millimeters width by 191 millimeters height by 23 millimeters depth
• Weight: 773 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

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.