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  • © 2014

Beginning Python Visualization

Crafting Visual Transformation Scripts

Apress

Authors:

  • 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.
  • This edition includes new or expanded coverage of the following: Spyder, IPython, Matplotlib 3D graphs and basemap, Python media, Num.

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Softcover Book USD 69.99
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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xxvii
  2. The Environment

    • Shai Vaingast
    Pages 31-53
  3. Python for Programmers

    • Shai Vaingast
    Pages 55-108
  4. Data Organization

    • Shai Vaingast
    Pages 109-140
  5. Processing Text Files

    • Shai Vaingast
    Pages 141-188
  6. Graphs and Plots

    • Shai Vaingast
    Pages 189-232
  7. Math Games

    • Shai Vaingast
    Pages 233-268
  8. Science and Visualization

    • Shai Vaingast
    Pages 269-306
  9. Image Processing

    • Shai Vaingast
    Pages 307-342
  10. Advanced File Processing

    • Shai Vaingast
    Pages 343-370
  11. Additional Source Listing

    • Shai Vaingast
    Pages 371-377
  12. Back Matter

    Pages 379-385

About this book

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.

Bibliographic Information

Buy it now

Buying options

eBook USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access