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

Some history


Some systems spring fully-conceived from a theoretical backing – Lisp is pretty much just a working out of John McCarthy's 1960 paper, Recursive Functions of Symbolic Expressions and Their Computation by Machine, Part I.

IPython is not such a system. In 2001, Fernando Perez was a graduate student at the University of Colorado in Boulder. He was not a computer science major, he was a physics graduate student who needed to program and wanted a better tool. As a physicist, his idea of "better" was different from what a computer scientist might have envisioned. In particular, the formative influences on the young IPython was tools designed primarily for data analysis and presentation: Mathematica (http://www.wolfram.com/mathematica/) and Sage (http://www.sagemath.org/).

Perez has stated that IPython is "meant to be a highly configurable tool for building problem-specific interactive environments," which provides a key to its history and future directions.

Initial efforts came at the...