Book Image

Learning IPython for Interactive Computing and Data Visualization, Second Edition

By : Cyrille Rossant
Book Image

Learning IPython for Interactive Computing and Data Visualization, Second Edition

By: Cyrille Rossant

Overview of this book

Python is a user-friendly and powerful programming language. IPython offers a convenient interface to the language and its analysis libraries, while the Jupyter Notebook is a rich environment well-adapted to data science and visualization. Together, these open source tools are widely used by beginners and experts around the world, and in a huge variety of fields and endeavors. This book is a beginner-friendly guide to the Python data analysis platform. After an introduction to the Python language, IPython, and the Jupyter Notebook, you will learn how to analyze and visualize data on real-world examples, how to create graphical user interfaces for image processing in the Notebook, and how to perform fast numerical computations for scientific simulations with NumPy, Numba, Cython, and ipyparallel. By the end of this book, you will be able to perform in-depth analyses of all sorts of data.
Table of Contents (13 chapters)
Learning IPython for Interactive Computing and Data Visualization Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Creating a custom magic command in an IPython extension


IPython comes with a rich set of magic commands. You can get the complete list with the %lsmagic command. IPython also allows you to create your own magic commands. In this section, we will create a new cell magic that compiles and executes C++ code in the Notebook.

We first import the register_cell_magic function:

In [1]: from IPython.core.magic import register_cell_magic

To create a new cell magic, we create a function that takes a line (containing possible options) and a cell's contents as its arguments, and we decorate it with @register_cell_magic, as shown here:

In [2]: @register_cell_magic
        def cpp(line, cell):
            """Compile, execute C++ code, and return the
            standard output."""
            # We first retrieve the current IPython interpreter
            # instance.
            ip = get_ipython()

            # We define the source and executable filenames.
            source_filename = '_temp.cpp'
  ...