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Learning IPython for Interactive Computing and Data Visualization, Second Edition

You're reading from   Learning IPython for Interactive Computing and Data Visualization, Second Edition Get started with Python for data analysis and numerical computing in the Jupyter notebook

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Product type Paperback
Published in Oct 2015
Publisher
ISBN-13 9781783986989
Length 200 pages
Edition 1st Edition
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Author (1):
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Cyrille Rossant Cyrille Rossant
Author Profile Icon Cyrille Rossant
Cyrille Rossant
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Writing a new Jupyter kernel


Jupyter supports a wide variety of kernels written in many languages, including the most-frequently used IPython. The Notebook interface lets you choose the kernel for every notebook. This information is stored within each notebook file.

The jupyter kernelspec command allows you to get information about the kernels. For example, jupyter kernelspec list lists the installed kernels. Type jupyter kernelspec --help for more information.

At the end of this section, you will find references with instructions to install various kernels such as IR, IJulia, or IHaskell. Here, we will detail how to create a custom kernel.

There are two methods to create a new kernel:

  • Writing a kernel from scratch for a new language by reimplementing the whole Jupyter messaging protocol.

  • Writing a wrapper kernel for a language that can be accessed from Python.

We will use the second, easier method in this section. Specifically, we will reuse the example from the last section to write a C++ wrapper...

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