Python Virtual Environment & Jupyter Notebook

by ubccr 3 years ago

GNU/Linux ◆ xterm ◆ bash 1009 views

This demonstrates how to use a python virtual environment to install mpi4py into Jupyter so you can use it in an OnDemand Jupyter Notebook app.

The module loaded to create the virtual environment should not be used for other use cases. This is specific to the need to install an MPI Python library so we loaded an older version of Python that was built with Intel compilers.

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You can download this recording in asciicast v1 format, as a .json file.

Download

Replay in terminal

You can replay the downloaded recording in your terminal using the asciinema play command:

asciinema play 444061.json

If you don't have asciinema CLI installed then see installation instructions.

Use with stand-alone player on your website

Download asciinema player from the releases page (you only need .js and .css file), then use it like this:

<!DOCTYPE html>
<html>
<head>
  <link rel="stylesheet" type="text/css" href="asciinema-player.css" />
</head>
<body>
  <div id="player"></div>
  <script src="asciinema-player.min.js"></script>
  <script>
    AsciinemaPlayer.create(
      '/assets/444061.json',
      document.getElementById('player'),
      { cols: 122, rows: 35 }
    );
  </script>
</body>
</html>

See asciinema player quick-start guide for full usage instructions.

While this site doesn't provide GIF conversion at the moment, you can still do it yourself with the help of asciinema GIF generator utility - agg.

Once you have it installed, generate a GIF with the following command:

agg https://asciinema.org/a/444061 demo.gif

Or, if you already downloaded the recording file:

agg demo.cast demo.gif

Check agg --help for all available options. You can change font family and size, select color theme, adjust speed and more.

See agg manual for full usage instructions.