Skip to main content

Jupyter notebook extension which supports (some) LaTeX environments within markdown cells. Also provides support for labels and crossreferences, document wide numbering, bibliography, and more...

Project description

(some) LaTeX environments for Jupyter notebook

This extension for Jupyter notebook enables to use some LaTeX commands and environments markdown cells.

  1. LaTeX commands and environments

    • support for some LaTeX commands within markdown cells, e.g. \textit, \textbf, \underline

    • support for theorems-like environments, support for labels and cross references

    • support for lists: enumerate, itemize,

    • limited support for a figure environment,

    • support for an environment listing,

    • additional textboxa environment

  2. Citations and bibliography

    • support for \cite with creation of a References section

  3. Document-wide numbering of equations and environments, support for ``label`` and ``ref``

  4. Configuration toolbar

  5. LaTeX_envs dropdown menu for a quick insertion of environments

  6. User’s LaTeX definitions file can be loaded and used

  7. Export to HTML and LaTeX with a customized exporter

  8. Environments title/numbering can be customized by users in user_envs.json config file.

  9. Styles can be customized in the latex_env.css stylesheet

More environments can be simply added in user_envs.json or in the source file (thmsInNb4.js).

It is possible to export the notebooks to plain \(\LaTeX\) and html while keeping all the features of the latex_envs notebook extension in the converted version. We provide specialized exporters, pre and post processors, templates. We also added entry-points to simplify the conversion process. It is now as simple asIt is now as simple as

jupyter nbconvert --to html_with_lenvs FILE.ipynb

or

jupyter nbconvert --to latex_with_lenvs FILE.ipynb

to convert FILE.ipynb into html/latex while keeping all the features of the latex_envs notebook extension in the converted version. The LaTeX converter also expose several conversion options (read the docs.

Demo/documentation

The doc subdirectory that constains an example notebook and its html and pdf versions. This serves as the documentation. A demo notebook latex_env_doc.ipynb is provided. Its html version is latex_env_doc.html and a pdf resulting from conversion to LaTeX is available as documentation.

Installation

The extension consists in a package that includes a javascript notebook extension. Since Jupyter 4.2, this is the recommended way to distribute nbextensions. The extension can be installed

  • from the master version on the github repo (this will be always the most recent version)

  • via pip for the version hosted on Pypi

  • as part of the great Jupyter-notebook-extensions collection. Follow the instructions there for installing. Once this is done, you can open a tab at http://localhost:8888/nbextensions to enable and configure the various extensions.

From the github repo or from Pypi,

  • step 1: install the package

    • pip3 install https://github.com/jfbercher/jupyter_latex_envs/archive/master.zip [--user][--upgrade]

    • or pip3 install jupyter_latex_envs [--user][--upgrade]

    • or clone the repo and install git clone https://github.com/jfbercher/jupyter_latex_envs.git python3 setup.py install

With Jupyter >= 4.2, step 1 should sufficient as the files will be automatically copied to the target drectories and the extension enabled. For ealier versions of Jupyter or if something fails, you will have to add two more steps.

  • step 2: install the notebook extension

    jupyter nbextension install --py latex_envs [--user]
  • step 3: and enable it

    jupyter nbextension enable latex_envs [--user] --py

For Jupyter versions before 4.2, the situation is more tricky since you will have to find the location of the source files (instructions from @jcb91 found here): execute

python -c "import os.path as p; from jupyter_highlight_selected_word import __file__ as f, _jupyter_nbextension_paths as n; print(p.normpath(p.join(p.dirname(f), n()[0]['src'])))"

Then, issue

jupyter nbextension install <output source directory>
jupyter nbextension enable latex_envs/latex_envs

where <output source directory> is the output of the python command.

Disclaimer, sources and acknowledgments

Originally, I used a piece of code from the nice online markdown editor stackedit https://github.com/benweet/stackedit/issues/187, where the authors also considered the problem of incorporating LaTeX markup in their markdown.

I also studied and used examples and code from https://github.com/ipython-contrib/IPython-notebook-extensions.

  • This is done in the hope it can be useful. However there are many impovements possible, in the code and in the documentation. Contributions will be welcome and deeply appreciated.

  • If you have issues, please post an issue at https://github.com/jfbercher/jupyter_latex_envs/issues here.

Self-Promotion – Like latex_envs? Please star and follow the repository on GitHub.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jupyter_latex_envs-1.3.3.tar.gz (727.8 kB view details)

Uploaded Source

File details

Details for the file jupyter_latex_envs-1.3.3.tar.gz.

File metadata

File hashes

Hashes for jupyter_latex_envs-1.3.3.tar.gz
Algorithm Hash digest
SHA256 bd77b721720f2a889e1cc0c9059c5836186882ba3cf460b457815f3cb9597ec6
MD5 23ab35876ac4aa7f28af0813fe616ef4
BLAKE2b-256 0d1dcf83cb251d6c9c423c6f8905b4fbf1471bfab5b6646b668b80691daa8823

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page