Jupyter Notebook (201904)

Starts the Jupyter notebook server in your home directory.

Launch Tool

You must login before you can run this tool.

Version 1.3 - published on 25 Aug 2022

doi:10.21981/3GXX-A295 cite this

This tool is closed source.

View All Supporting Documents

 

Newer version available

Newer version available

This resource has a newer version available at /tools/jupyter70

Category

Tools

Published on

Abstract

This is Jupyter Notebook (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 Notebook (202105) tool.

The Jupyter notebook server is started with a file manager pointed to your home directory.  This makes all files in your home directory 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.

Tools of interest to those learning about or applying machine learning techniques incorporating Jupyter notebooks include the following:

Cite this work

Researchers should cite this work as follows:

  • (2022), "Jupyter Notebook (201904)," https://nanohub.org/resources/jupyter60. (DOI: 10.21981/3GXX-A295).

    BibTex | EndNote

Submitter

Martin Hunt

Purdue University

Tags