Mastering IPython 4.0
Author: Thomas Bitterman
Pub Date: 2016
ISBN: 978-1785888410
Pages: 382
Language: English
Format: PDF
Size: 4.9 Mb
Get to grips with the advanced concepts of interactive computing to make the most out of IPython
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.
What you will learn

• Develop skills to use IPython for high performance computing (HPC)
• Understand the IPython interactive shell
• Use XeroMQ and MPI to pass messages
• Integrate third-party tools like R, Julia, and JavaScript with IPython
• Visualize the data
• Acquire knowledge to test and document the data
• Get to grips with the recent developments in the Jupyter notebook system
  

Table of Contents
1 Using IPython for HPC
2 Advanced Shell Topics
3 Stepping Up to IPython for Parallel Computing
4 Messaging with ZeroMQ and MPI
5 Opening the Toolkit – The IPython API
6 Works Well with Others – IPython and Third-Party Tools
7 Seeing Is Believing– Visualization
8 But It Worked in the Demo! – Testing
9 Documentation
10 Visiting Jupyter
11 Into the Future