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.
Mastering matplotlib
By :
Mastering matplotlib
By:
Overview of this book
Table of Contents (16 chapters)
Mastering matplotlib
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Getting Up to Speed
The matplotlib Architecture
matplotlib APIs and Integrations
Event Handling and Interactive Plots
High-level Plotting and Data Analysis
Customization and Configuration
Deploying matplotlib in Cloud Environments
matplotlib and Big Data
Clustering for matplotlib
Index
Customer Reviews