Markdown Python Jupyter

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  1. Jupyterlab Markdown Python Variable
  2. Markdown Python Jupiter Project
  3. Jupyter Markdown Python Code
  4. Markdown Python Jupiter Free

Learning Objectives

  • Python Markdown¶. The Python Markdown extension allows displaying output produced by the current kernel in markdown cells. The extensions is basically agnostic to the kernel language, however most testing has been done using Python. For example: If you set variable a in Python.
  • Markdown and LaTeX can change your notebook from plain code to an interesting paper that people would love to read.Notebook Link:

Sometimes markdown doesn’t make line breaks when you want them. To force a linebreak, use the following code: Indenting Use the greater than sign followed by a space, for example: Text that will be indented when the Markdown is rendered. Any subsequent text.

After completing this page, you will be able to:

  • Create new Code and Markdown cells within Jupyter Notebook.
  • Run Code and Markdown cells within Jupyter Notebook to execute Python code and render Markdown text.
  • List useful shortcuts for common tasks in Jupyter Notebook.

Work With Python Code and Markdown Cells in Jupyter Notebook

Recall that a Jupyter Notebook file consists of a set of cells that can store text or code.

  • Text Cells: Text cells allow you to write and render Markdown syntax. This is where you can describe and document your workflow.
  • Code Cells: Code cells allow you to write and run programming code (e.g. Python).

Create New Cells

You can use either the Menu tools or Keyboard Shortcuts to create new cells.

FunctionKeyboard ShortcutMenu Tools
Create new cellEsc + a (above), Esc + b (below)Insert→ Insert Cell Above OR Insert → Insert Cell Below
Copy CellcCopy Key
Paste CellvPaste Key

While the default cell type for new cells is Code, you can change the cell type of any existing cell by clicking in the cell and selecting a new cell type (e.g. Markdown) in the cell type menu in the toolbar.

Cell type options include Code, Markdown, Raw NBConvert (for text to remain unmodified by nbconvert), and Heading.

To use the Keyboard Shortcuts, hit the esc key. After that, you can change a cell to Markdown by hitting the m key, or you can change a cell to Code by hitting the y key.

Run Cells

Python jupyter notebook markdown cheat sheet

Python Code Cells

You can run any cell in Jupyter Notebook (regardless of whether it contains Code or Markdown) using the Menu tools or Keyboard Shortcuts.

FunctionKeyboard ShortcutMenu Tools
Run CellCtrl + enterCell → Run Cell

For example, you can add a new Code cell and then run the following Python code (e.g. 3 + 4). Your result, or output, will be displayed below the Code cell that you run.

Markdown Cells

You can run Markdown cells in the same way that you can run code cells. However, when you run a Markdown cell, the text formatted using Markdown syntax will be rendered as stylized text.


This means that headings are larger and bold, bulleted lists have bullets next to them instead of *, and regular text looks normal. No outputs will appear below the Markdown cell.

For example, the Markdown syntax below represents 3 headers. You can double-click in any Markdown cell to see the raw Markdown syntax, which for the cell below would appear like this raw Markdown syntax:

To see the Markdown as stylized text, run the cell. It should look like the text printed below:

This is a subtitle in Markdown

This is a smaller subtitle

This is an even smaller subtitle

Rearrange Cells in a Jupyter Notebook

You can change the order of cells within Jupyter Notebook using the up arrow and down arrow buttons on the menu bar. To do this, click inside the cell that you want to move and then press the desired arrow as many times as you need to move the Cell to the desired location.

Clear Results in Jupyter Notebook

Sometimes, you may want to clear any output results that have been produced. You can do this using the Menu:

Menu Tools
Cell -> Current Outputs -> Clear

This will clear the current cell that you are working in, which you can activate by clicking in a cell.

You can also clear all of the output using the Menu Tools.

Menu Tools
Cell -> All Output -> Clear
Manage Directories Using Dashboard Jupyter Notebook For Python

In addition to Jupyter Notebook Markdown,Jupyter Book also supports a special flavour of Markdown called MyST (orMarkedly Structured Text).It was designed to make it easier to create publishable computational documents written with Markdown notation.It is a superset of CommonMark Markdown and draws heavy inspiration from the fantastic RMarkdown language from RStudio.

Whether you write your book’s content in Jupyter notebooks (.ipynb) or in regular Markdown files (.md),you’ll write in the same flavour of MyST Markdown. Jupyter Book will know how to parse both of them.

This page contains a few pieces of information about MyST Markdown and how it relates to Jupyter Book.You can find much more information about this flavour of Markdown atthe Myst Parser documentation.

Want to use RMarkdown directly?

See Custom notebook formats and Jupytext

Jupyter markdown python code

Directives and roles¶

Roles and directives are two of the most powerful tools in Jupyter Book.They are kind of like functions, but written in a markup language.They both serve a similar purpose, but roles are written in one line whereas directives span many lines.They both accept different kinds of inputs, and what they do with those inputs depends on the specific role or directive being used.


Directives customize the look, feel, and behaviour of your book.They are kind of like functions, and come in a variety of names with different behaviour.This section covers how to structure and use them.

At its simplest, you can use directives in your book like so:

This will only work if a directive with name mydirectivename already exists (which it doesn’t).There are many pre-defined directives associated with Jupyter Book.For example, to insert a note box into your content, you can use the following directive:

This results in:


Here is a note

being inserted in your built book.

For more information on using directives, see the MyST documentation.

More arguments and metadata in directives¶

Many directives allow you to control their behaviour with extra pieces ofinformation. In addition to the directive name and the directive content,directives allow two other configuration points:

directive arguments - a list of words that come just after the {directivename}.

Here’s an example usage of directive arguments:

directive keywords - a collection of flags or key/value pairsthat come just underneath {directivename}.

There are two ways to write directive keywords, either as :key:val pairs, oras key:val pairs enclosed by --- lines. They both work the same way:

Here’s an example of directive keywords using the :key:val syntax:

and here’s an example of directive keywords using the enclosing --- syntax:


Markdown Python JupyterPython jupyter markdown cheat sheet

Remember, specifying directive keywords with :key: or --- will make no difference.We recommend using --- if you have many keywords you wish to specify, or if some valueswill span multiple lines. Use the :key:val syntax as a shorthand for just one or twokeywords.

For examples of how this is used, see the sections below.


Roles are very similar to directives, but they are less complex and writtenentirely in one line. You can use a role in your book withthis syntax:

Again, roles will only work if rolename is a valid role name.For example, the doc role can be used to refer to another page in your book.You can refer directly to another page by its relative path.For example, the syntax {doc}`../intro` will result in: Books with Jupyter.


It is currently a requirement for roles to be on the same line in your source file. It willnot be parsed correctly if it spans more than one line. Progress towards supporting rolesthat span multiple lines can be tracked by this issue

For more information on using roles, see the MyST documentation.

What roles and directives are available?¶

There is currently no single list of roles / directives to use as a reference, but thissection tries to give as much as information as possible. For those who are familiarwith the Sphinx ecosystem, you may use any directive / role that is available in Sphinx.This is because Jupyter Book uses Sphinx to build your book, and MyST Markdown supportsall syntax that Sphinx supports (think of it as a Markdown version of reStructuredText).


If you search the internet (and the links below) for information about roles and directives,the documentation will generally be written with reStructuredText in mind. MyST Markdownis different from reStructuredText, but all of the functionality should be the same.See the MyST Sphinx parser documentation for more information about the differences between MyST and rST.

For a list of directives that are available to you, there are three places to check:

  1. The Sphinx directives pagehas a list of directives that are available by default in Sphinx.

  2. The reStructuredText directives pagehas a list of directives in the Python “docutils” module.

  3. This documentation has several additional directives that are specific to Jupyter Book.

Jupyterlab Markdown Python Variable

What if it exists in rST but not MyST?

In some unusual cases, MyST may be incompatible with a certain role or directive.In this case, you can use the special eval-rst directive, to directly parse reStructuredText:

which produces


A note written in reStructuredText.

See also

The MyST-Parser documentation on how directives parse content, and its use for including rST files into a Markdown file, and using sphinx.ext.autodoc in Markdown files.

Nesting content blocks in Markdown¶

Markdown Python Jupiter Project

If you’d like to nest content blocks inside one another in Markdown (forexample, to put a {note} inside of a {margin}), you may do so by addingextra backticks (`) to the outer-most block. This works for literalcode blocks as well.

For example, the following syntax:


Thus, if you’d like to nest directives inside one another, you can take the sameapproach. For example, the following syntax:


Other MyST Markdown syntax¶

In addition to roles and directives, there are numerous other kinds of syntaxthat MyST Markdown supports.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.It is also a good source of information about the MyST syntax.Here are some links you can use as a reference:

See also

For information about enabling extended MyST syntax, see MyST syntax extensions.In addition, see other examples of this extended syntax (and how to enable each) throughout this documentation.

What can I create with MyST Markdown?¶

See Special content blocks for an introduction to what you can do with MyST Markdownin Jupyter Book.In addition, the other pages in this site cover many more use-cases for how to use directives with MyST.

Tools for writing MyST Markdown¶

There is some support for MyST Markdown in tools across the community. Here we includea few prominent ones.

Jupyter interfaces¶

While MyST Markdown does not (yet) render in traditional Jupyter interfaces, mostof its syntax should “gracefully degrade”, meaning that you can still work withMyST in Jupyter, and then build your book with Jupyter Book.

Jupyter Markdown Python Code

Jupytext and text sync¶

For working with Jupyter notebook and Markdown files, we recommend jupytext,an open source tool for two-way conversion between .ipynb and text files.Jupytext supports the MyST Markdown format.


Markdown Python Jupiter Free

For full compatibility with myst-parser, it is necessary to use jupytext>=1.6.0.

See also Convert a Jupytext file into a MyST notebook.

VS Code¶

If editing the Markdown files using VS Code, theVS Code MyST Markdown extensionprovides syntax highlighting and other features.