Jupyter Lab (201904)

An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook architecture.

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Version 1.0 - published on 09 Feb 2023

doi:10.21981/HXR9-AN45 cite this

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Abstract

This is Jupyter Lab (201904)  running in a Debian 7(GLIBC-2.13) based container.  The default kernel is Python 3.7. New development work should use the Jupyter Lab (202105) tool.

All files in your home directory are accessible and available to any notebook you execute.

To review the list of installed packages issue this command in a notebook cell:

!conda list

To review the environments(kernels) available issue this command in a notebook cell:

!conda env list

To review the list of  packages installed in an environment issue this command in a notebook cell:

!conda list --name envName

There is no shortage of material concerning the benefits of Jupyter notebooks and how to write them.  A set of best practices is provided here.

Cite this work

Researchers should cite this work as follows:

  • Steven Clark (2023), "Jupyter Lab (201904)," https://nanohub.org/resources/jupyterlab60. (DOI: 10.21981/HXR9-AN45).

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  1. Jupyter notebooks