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Mastering IPython 4.0

By : Bitterman, Dipanjan Deb

3 (3)

Mastering IPython 4.0

3 (3)

By: 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.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

1. Using IPython for HPC

1. Using IPython for HPC

The need for speed

FORTRAN to the rescue – the problems FORTRAN addressed

Choosing between IPython and Fortran

An example case – Fast Fourier Transform

High Performance Computing

Going parallel

Summary

2. Advanced Shell Topics

2. Advanced Shell Topics

What is IPython?

Installing IPython

All-in-one distributions

What happened to the Notebook?

Starting out with the terminal

IPython beyond Python

Magic commands

Cython

Configuring IPython

Debugging

Read-Eval-Print Loop (REPL) and IPython architecture

Alternative development environments

Summary

3. Stepping Up to IPython for Parallel Computing

3. Stepping Up to IPython for Parallel Computing

Serial processes

Threading

Using multiple processors

The IPython parallel architecture

Getting started with ipyparallel

Parallel magic commands

Types of parallelism

Data parallelism

Application steering

Summary

4. Messaging with ZeroMQ and MPI

4. Messaging with ZeroMQ and MPI

The storage hierarchy

ZeroMQ

MPI

ZeroMQ and IPython

Summary

5. Opening the Toolkit – The IPython API

5. Opening the Toolkit – The IPython API

Performance profiling

The AsyncResult class

The Client class

The View class

Summary

6. Works Well with Others – IPython and Third-Party Tools

6. Works Well with Others – IPython and Third-Party Tools

R

Octave

Hy

Summary

7. Seeing Is Believing– Visualization

7. Seeing Is Believing– Visualization

Matplotlib

Bokeh

R

Python-nvd3

Summary

8. But It Worked in the Demo! – Testing

8. But It Worked in the Demo! – Testing

Unit testing

unittest

pytest

nose2

Summary

9. Documentation

9. Documentation

Inline comments

Docstrings

reStructuredText

Docutils

Sphinx

Summary

10. Visiting Jupyter

10. Visiting Jupyter

Installation and startup

The Dashboard

Creating a notebook

Interacting with Python scripts

Working with cells

Being graphic

Format conversion

Summary

11. Into the Future

11. Into the Future

Some history

The Jupyter project

IPython

The rise of parallelism

Growing professionalism

Summary

Index

Index

Magic commands

IPython also accepts commands that control IPython itself. These are called "magic" commands and start with % or %%. A complete list of magic commands can be found by typing %lsmagic in the terminal.

Magics that start with a single % sign are called line magics. They accept the rest of the current line for arguments. Magics that start with %% are called cell magics. They accept not only the rest of the current line but also the following lines.

There are too many magic commands to go over in detail, but there are some related families to be aware of:

OS equivalents: %cd, %env, and %pwd
Working with code: %run, %edit, %save, %load, %load_ext, and %%capture
Logging: %logstart, %logstop, %logon, %logoff, and %logstate
Debugging: %debug, %pdb, %run, and %tb
Documentation: %pdef, %pdoc, %pfile, %pprint, %psource, %pycat, and %%writefile
Profiling: %prun, %time, %run, and %timeit
Working with other languages: %%script, %%html, %%javascript, %%latex, %%perl, and %%ruby

With magic commands...

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