In order to use this
pip install jupyter_config
Which is then executed as
jupyter config search "your_search_term"
on the command line to search for "
If you pass
jupyter config list
it will return the total list of configuration files that it found relative to
the directory that you are running the command from (not just the directories,
which you can find using
jupyter --paths beneath
Developing on jupyter_config
If you want to work on this codebase we recommend that you first fork the repository on GitHub.
Then clone your repository locally.
cd into that directory and create a new remote called upstream that you will point at
git remote add upstream https://github.com/mpacer/jupyter_config
Then you can editably install this with development dependencies so that any changes you make to the codebase get propagated to the rest of the system. Assuming you are still in the root directory of this project, you can do this with:
pip install -e .[dev]
To speed up the iteration cycle on developing in the library, you can run our tests locally.
To do so run:
pytest --pyargs jupyter_config
Before you release, you should make sure to run
check-manifest to ensure your
is up to date.
More detailed release instructions are en route per issue #1.