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.

It is possible to store Jupyter notebooks in plain Markdown. This allows you to define a notebook structure entirely using MyST Markdown. For more information about MyST Markdown, see MyST Markdown overview.

MyST is a powerful authoring framework that supports blogs, books, articles and journals. Extend Markdown with equations, cross-references, citations, and export to a preprint or rich, interactive website or book. Make your pages interactive by connecting to custom JupyterHubs, public Binders or even Python running directly in your browser.

MyST supports all syntax of CommonMark Markdown (the kind of Markdown that Jupyter notebooks use), as well as an extended syntax that is used for scientific publishing. The MyST-Parser is the tool that Jupyter Book uses to allow you to write your book content in MyST.

Execution information can be added to MyST Markdown files, which allows you to perform computation using MyST’s notebook execution engine. First, you will need to define a kernel specification, after which you can introduce Markdown-based computation in several ways: Code cells for block-level content.

MyST-NB is a reference implementation of MyST Markdown Notebooks, and an open source tool for working with Jupyter Notebooks in the Sphinx ecosystem. It provides the following primary features: Parse ipynb files in Sphinx. Directly convert Jupyter Notebooks into Sphinx documents. Execute and Cache your notebook content.

The MyST syntax can be used in markdown files or markdown cells in Jupyter Notebooks to add figures, tables, equations, cross-references, hover-links and citations. MyST is designed to create publication-quality documents written entirely in Markdown.

Mix Jupyter notebooks with text-based notebooks, Markdown and RST documents. Use MyST Markdown syntax to support technical authoring features such as cross-referencing, figures, and admonitions. Generate dynamic outputs using Jupyter kernels, with configurable execution handling. Cache execution outputs, for fast re-builds.

MyST (Markedly Structured Text) is a markdown flavor that “implements the best parts of reStructuredText”. It provides a way to call Sphinx directives and roles from within Markdown, using a slight extension of CommonMark markdown.

MyST Markdown notebooks allow you to write your Jupyter Notebook entirely in markdown, utilising the MyST Markdown notebook format. This allows you to store notebook metadata, Markdown, and cell inputs in a text-based format that is …