Difference: IPython (51 vs. 52)

Revision 522022-06-03 - WilliamSeligman

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META TOPICPARENT name="Computing"

Jupyter notebook server at Nevis

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Handy Jupyter links

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Kernels

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  Gnuplot is a graphing utility for visualizing mathematical functions and data interactively. There are Gnuplot cell magics that let you use Gnuplot graphics to create plots within some of the other kernels on this page, such as Julia and Octave.
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IForth

Forth is an interpreted, compact, extensible language. It was originally developed for embedded systems. The Forth kernel within Jupyter is not perfect (e.g., its text output includes the text input, in addition to the output of a command), but it can serve as good practice in the language. If you're interested in having gforth installed on your server, let WilliamSeligman know.

 

Julia

Julia is a high-level, high-performance dynamic programming language developed at MIT for technical computing. It combines the ease-of-use of Python with the speed of Fortran. Here's a Julia tutorial, though the plotting examples may not work in Jupyter unless you use PyPlot); e.g.:
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  It is my intention to include every available Jupyter kernel that might have an application in physics, as long as there's a clear installation method for adding it to Jupyter. If you have a request for an additional kernel, or for a library or extension to be added to an existing language, please let WilliamSeligman know.
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Before you ask: I've already tried to install Jupyter kernels for Forth, Haskell, and Perl. Each presented a technical issue, ranging from "simply doesn't work" to "not compatible with being invoked from Jupyter".
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Before you ask: I've already tried to install Jupyter kernels for Haskell and Perl. Each presented a technical issue, ranging from "simply doesn't work" to "not compatible with being invoked from Jupyter".
 

Limitations and workarounds

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Jupyter on your workgroup server

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Jupyter has been made part of the Python 3.6 distribution at Nevis, which is automatically set up when you type the environment modules command at the terminal:
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Jupyter has been made part of the Python module at Nevis, which is automatically set up when you type the environment modules command at the terminal:
 
module load root
 
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