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Jupyter metapackage for installation and docs.
This documentation uses the Sphinx documentation engine.
The documentation is located in the docs/source
folder. When you build the documentation, it will be placed in the docs/build
folder.
It is written in a combination of reStructuredText and MyST Markdown.
There are a few ways to build the documentation, see below for instructions:
The easiest way to build the documentation locally is by using the nox
command line tool. This tool makes it easy to automate commands in a repository, and we have included a docs
command to quickly install the dependencies and build the the documentation.
To build and preview the site locally, follow these steps:
-
Clone this repository.
$ git clone https://github.com/jupyter/jupyter $ cd jupyter
-
Install
nox
$ pip install nox
-
Run the
docs
command$ nox -s docs
This will install the needed dependencies in a virtual environment using pip
.
It will then place the documentation in the docs/build/html
folder.
You may explore these HTML files in order to preview the site.
There is another nox
command that will do the above, and also create a live server that watches your source files for changes, and auto-builds the website any time a change is made.
To start this live server, use the following nox
command:
$ nox -s docs-live
When the build is finished, go to the URL that is displayed. It should show a live preview of your doucmentation.
To stop serving the website, press Ctrl
-C
in your terminal
To build the documentation manually, follow these steps:
First, install the miniconda
Python distribution.
Next, navigate to the /docs
directory and create a conda
environment:
conda env create -f environment.yml
Activate the environment:
source activate jupyter_docs
Build the docs using Sphinx with the following commands:
make clean
make html
The docs will be built in build/html
. They can be viewed by opening build/html/index.html
or starting an HTTP server and navigating to 0.0.0.0:8000
in your web browser.
python3 -m http.server
Anyone with push access to this repo can make a release of the Jupyter metapackage (this happens very rarely). We use tbump to publish releases.
tbump updates version numbers and publishes the git tag
of the version.
Our GitHub Actions
then build the releases and publish them to PyPI.
The steps involved:
- install tbump:
pip install tbump
- tag and publish the release
tbump $NEW_VERSION
.
That's it!