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Mastering Matplotlib

You're reading from   Mastering Matplotlib A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781783987542
Length 292 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (11) Chapters Close

Preface 1. Getting Up to Speed FREE CHAPTER 2. The matplotlib Architecture 3. matplotlib APIs and Integrations 4. Event Handling and Interactive Plots 5. High-level Plotting and Data Analysis 6. Customization and Configuration 7. Deploying matplotlib in Cloud Environments 8. matplotlib and Big Data 9. Clustering for matplotlib Index

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There are other interesting options if you wish to parallelize the Python code and run it on clusters on problems that require you to visualize computationally intensive problems. Of particular interest is MIT's StarCluster project, which runs on Amazon AWS (EC2) and supports the Open Grid Engine (formerly known as the Sun Grid Engine). Furthermore, StarCluster has an IPython cluster plugin, which lets you easily run the IPython.parallel code on EC2. For more information on this, be sure to refer to this chapter's IPython Notebook, the StarCluster documentation, and the IPython documentation for parallel computations.

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