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Mastering Python Data Visualization

You're reading from   Mastering Python Data Visualization Generate effective results in a variety of visually appealing charts using the plotting packages in Python

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Product type Paperback
Published in Oct 2015
Publisher
ISBN-13 9781783988327
Length 372 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (11) Chapters Close

Preface 1. A Conceptual Framework for Data Visualization 2. Data Analysis and Visualization FREE CHAPTER 3. Getting Started with the Python IDE 4. Numerical Computing and Interactive Plotting 5. Financial and Statistical Models 6. Statistical and Machine Learning 7. Bioinformatics, Genetics, and Network Models 8. Advanced Visualization A. Go Forth and Explore Visualization Index

Summary

This chapter illustrates additional topics that were not covered in the previous chapters, such as signal processing and animation using Python. In addition, we also compared Python with D3.js and Julia and determined their strengths. Several examples of signal processing were discussed. We also looked at the convolution of analog and digital signal spectrums using numpy and matplotlib.

We also looked at an example of animation and demonstrated how you can generate the MP4 format animation via Python. We also compared Julia with Python and listed a few advantages of Julia over Python and compared them to see the differences.

Further, we showcased the strengths of D3.js, highlighting the difference between this JavaScript-based visualization tool and Python. Finally, we discussed the options available for dashboards and listed a few options to create Python-based dashboards.

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