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jupyter_contrib_nbextensions/nbextensions/usability/python-markdown/readme.md
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2015-10-01 18:12:25 +02:00

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Description
===========
The **Python Markdown** extension allows displaying Python output in markdown cells.
For example:
If you set variable `a` in Python
```Python
a = 1.23
```
and write the following line in a markdown cell:
```Markdown
a = {{a}}
```
It will be displayed as:
```Markdown
a = 1.23
```
[![Demo Video](http://img.youtube.com/vi/_wLwLsgkExc/0.jpg)](https://youtu.be/_wLwLsgkExc)
Further examples
----------------
Before rendering the markdown cell:
![before](python-markdown-pre.png)
After rendering the markdown cell:
![after](python-markdown-post.png)
Python code is only executed when the notebook is trusted. So if your original Python code is still shown in
rendered markdown output, please make sure your notebook is trusted.
**Caution:** There is no restriction in the expression you can embedd in `{{ }}`. Be careful as you might crash your
browser if you return too large datasets.
Exporting
=========
In order to have `nbconvert` show the computed Python output when exporting to another format,
use the `pymdpreprocessor.py` preprocessor. If you used the `python setup.py install` command to install the
IPython-contrib extension package, this will already be installed.
For manual setup, you need to copy this file to a location within the Python path (or extend `PYTHONPATH`).
Additionally, you need to add these two lines to your `jupyter_nbconvert_config.py` configuration file:
```Python
c = get_config()
c.Exporter.preprocessors = [ 'pymdpreprocessor.PyMarkdownPreprocessor' ]
```
Internals
=========
The extension overrides the `textcell.MarkdownCell.prototype.render` function and searches for a Python expression enclosed in
double curly braced `{{ <expr> }}`. It then executes the expression and replaces it with the result returned from Python, embedded
in a `<span>` tag.
Additionally, the result is saved in the metadata of the markdown cell, i.e. `cell.metadata.variables[varname]`.
This stored value is displayed when reloading the notebook and used for the nbconvert preprocesser.
The preprocessor `pymdpreprocessor.PyMarkdownPreprocessor` allows `nbconvert` to display the computed variables
when converting the notebook to an output file format.