Book Image

Mastering IPython 4.0

By : Thomas Bitterman, Dipanjan Deb
Book Image

Mastering IPython 4.0

By: Thomas Bitterman, Dipanjan Deb

Overview of this book

IPython is an interactive computational environment in which you can combine code execution, rich text, mathematics, plots, and rich media. This book will get IPython developers up to date with the latest advancements in IPython and dive deep into interactive computing with IPython. This an advanced guide on interactive and parallel computing with IPython will explore advanced visualizations and high-performance computing with IPython in detail. You will quickly brush up your knowledge of IPython kernels and wrapper kernels, then we'?ll move to advanced concepts such as testing, Sphinx, JS events, interactive work, and the ZMQ cluster. The book will cover topics such as IPython Console Lexer, advanced configuration, and third-party tools. By the end of this book, you will be able to use IPython for interactive and parallel computing in a high-performance computing environment.
Table of Contents (18 chapters)
Mastering IPython 4.0
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
6
Works Well with Others – IPython and Third-Party Tools
Index

Chapter 7. Seeing Is Believing– Visualization

Although Python is an excellent language for scientific and numerical computing, it is somewhat less strong in terms of data visualization. IPython allows easy interoperation between Python (and other supported languages) and many third-party tools that can provide useful data analysis and graphing possibilities. This capability is another example of IPython's pragmatic philosophy of enabling the developer to use the best tool for the job.

While there are a great number of visualization libraries, this chapter will attempt to cover only a few of the more popular/interesting ones.

The following topics will be covered:

  • Matplotlib

  • Bokeh

  • R

  • Python-nvd3