Working with MyST in Jupyter Lab
MyST has full support in Jupyter
🛠 Throughout the tutorial, whenever you're supposed to do something you will see a 🛠
🛠 Install JupyterLab Locally
For this tutorial you must have installed JupyterLab locally (use a version greater than 3.0).
🛠 Install JupyterLab, following the guide at https://jupyter.org/install
To follow along on without installing anything, you can try to 
, however the install process may take up to ten minutes.
Install JupyterLab MyST¶
🛠 Install the JupyterLab MyST extension version: 
pip install jupyterlab_mystSee the GitHub repository, jupyterlab-myst for full installation instructions.
🛠 Verify the installation
To verify that the extension is registered with Jupyter, use:
jupyter labextension listYou should see the following text in the output:
jupyterlab-myst v1.x.x enabled OKDownload quickstart content¶
We are going to download an example project that includes notebooks for use in JupyterLab with the MyST extension installed.
Our goal will be to try out some of the main features of jupyterlab-myst, including frontmatter, MyST syntax, and inline execution.
🛠 Download the example content, and navigate into the folder:
git clone https://github.com/executablebooks/jupyterlab-myst-quickstart.git
cd jupyterlab-myst-quickstartExplore the Notebooks¶
🛠 Launch JupyterLab with jupyterlab-myst activated
jupyter lab
Figure 1:MyST in JupyterLab, showing frontmatter and admonitions that are natively rendered! 🎉
More Coming Soon™
- showing frontmatter
- advanced user interface elements like tabs, grids, and cards
- citations
- inline computation & variables examples <-- this is really cool
Conclusion 🥳¶
For now, that's it for this quickstart tutorial, please see the content in the notebooks or help contribute to the docs to help document these features! Other tutorials to explore are:
Learn the basics of MyST Markdown, and export to a Word document, PDF, and !
See an overview of MyST Markdown syntax with inline demos and examples.
