Jupyter extension to support templates
Project description
Jupyter template
A simple template for jupyter notebooks.
The extension sets up any new Jupyter Notebook with a conventional and general-purpose template to shape Data Science analysis.
The template includes conventional sections, like Data Import, Processing and References, as well as code to perform common operations, like importing and configuring charting libraries.
Moreover, it prompts for a meaningful name whenever you try and save a notebook called 'Untitled'.
You find this annoying? Don't worry, you can disable this one.
Motivation
Jupyter notebooks are awesome tools: they enable fast prototyping and ease result sharing. However, due to their flexibility, they are prone to be abused.
In order to help Data Scientists keep their notebooks clean, a reasonably flexible yet conventional template may help. Moreover, the template is also a productivity tool, speeding up common setup, such as library import and configuration.
Quick start
It is not mandatory, but you can install the full set of Jupyter extensions.
pip install jupyter_contrib_nbextensions
jupyter contrib nbextension install --user
Feel free to visit their repository for more information.
Now you can install the package:
pip install jupytemplate
Then, you have to install the javascript files from the Python package in a conventional jupyter directory:
jupyter nbextension install --py jupytemplate --sys-prefix
Finally, you may want to enable the extension:
jupyter nbextension enable jupytemplate/main --sys-prefix
You can easily enable, disable or configure the extension by using the nbextension_configurator server extension, as shown below.
Editing the template
Template location can be found by running:
import jupytemplate
print(jupytemplate.get_template_path())
Of course, you can edit the template as you like, in order
to adapt it to your own needs, but keep the file name template.ipynb
.
After editing the template, run:
jupyter nbextension install --py jupytemplate --sys-prefix
jupyter nbextension enable jupytemplate/main --sys-prefix
to make changes effective.
References
Please consider reading the following resources for a more comprehensive understanding:
- Will Kohersen, Set Your Jupyter Notebook up Right with this Extension
- Will Kohersen, How to Write a Jupyter Notebook Extension
- Will Kohersen, Setup extension
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.