The
nbconvert
tool,
jupyter nbconvert
, converts notebooks to various other
formats via
Jinja
templates. The nbconvert tool allows you to convert an
.ipynb
notebook file into various static formats including:
From the command line, use nbconvert to convert a Jupyter notebook ( input ) to a a different format ( output ). The basic command structure is:
$ jupyter nbconvert --to <output format> <input notebook>
where <output format> is the desired output format and <input notebook> is the
filename of the Jupyter notebook.
Convert Jupyter notebook file, mynotebook.ipynb, to HTML using:
$ jupyter nbconvert --to html mynotebook.ipynb
This command creates an HTML output file named mynotebook.html.
Check if pandoc is installed (pandoc --version); if needed, install:
sudo apt-get install pandoc
brew install pandoc
Install nbconvert for development using:
git clone https://github.com/jupyter/nbconvert.git
cd nbconvert
pip install -e .
Running the tests after a dev install above:
pip install nbconvert[test]
py.test --pyargs nbconvert
Documentation for Jupyter nbconvert
nbconvert examples on GitHub
Documentation for Project Jupyter
Issues and Bug Reports: A place to report
bugs or regressions found for nbconvert
Community Technical Support and Discussion - Discourse: A place for
installation, configuration, and troubleshooting assistannce by the Jupyter community.
As a non-profit project and maintainers who are primarily volunteers, we encourage you
to ask questions and share your knowledge on Discourse.
Jupyter mailing list
Project Jupyter website
The Jupyter Development Team is the set of all contributors to the Jupyter project.
This includes all of the Jupyter subprojects.
The core team that coordinates development on GitHub can be found here:
https://github.com/jupyter/.
Jupyter uses a shared copyright model. Each contributor maintains copyright
over their contributions to Jupyter. But, it is important to note that these
contributions are typically only changes to the repositories. Thus, the Jupyter
source code, in its entirety is not the copyright of any single person or
institution. Instead, it is the collective copyright of the entire Jupyter
Development Team. If individual contributors want to maintain a record of what
changes/contributions they have specific copyright on, they should indicate
their copyright in the commit message of the change, when they commit the
change to one of the Jupyter repositories.
With this in mind, the following banner should be used in any source code file
to indicate the copyright and license terms:
# Distributed under the terms of the Modified BSD License.