pelican-jupyter: Pelican plugin for Jupyter Notebooks

Installation

pip install pelican-jupyter

Pelican and Jupyter versions

The main focus is to run with the latest versions of the packages but there is a good chance the plugin will work correctly with older versions of Pelican and Jupyter/. The recommended version of libraries are:

• pelican>=4
• notebook>=6
• nbconvert>=5

Usage

This plugin provides two modes to use Jupyter notebooks in Pelican:

1. As a new markup language so .ipynb files are recognized as a valid filetype for an article
2. As a liquid tag based on the liquid tags plugin so notebooks can be included in a regular post using Markdown (.md) files.

Mode A: Markup Mode

On your pelicanconf.py:

MARKUP = ("md", "ipynb")

from pelican_jupyter import markup as nb_markup
PLUGINS = [nb_markup]

IGNORE_FILES = [".ipynb_checkpoints"]

With this mode you need to pass the MD metadata to the plugins with one of this two options:

Option 1: .nbdata metadata file

Place the .ipynb file in the content folder and create a new file with the same name as the ipython notebook with extension .nbdata. For example if you have my_post.ipynb create my_post.nbdata.

The .nbdata should contain the metadata like a regular Markdown based article (note the empty line at the end, you need it):

Title:
Slug:
Date:
Category:
Tags:
Author:
Summary:

You can specify to only include a subset of notebook cells with the Subcells metadata item. It should contain the index (starting at 0) of first and last cell to include (use None for open range). For example, to skip the first two cells:

Subcells: [2, None]

Option 2: Metadata cell in notebook

With this option, the metadata is extracted from the first cell of the notebook (which should be a Markdown cell), this cell is then ignored when the notebook is rendered.

On your pelicanconf.py:

MARKUP = ("md", "ipynb")

from pelican_jupyter import markup as nb_markup
PLUGINS = [nb_markup]
IPYNB_MARKUP_USE_FIRST_CELL = True

IGNORE_FILES = [".ipynb_checkpoints"]

Now, you can put the metadata in the first notebook cell in Markdown mode, like this:

- title: My notebook
- author: John Doe
- date: 2018-05-11
- category: pyhton
- tags: pip

Mode B: Liquid tags

On your pelicanconf.py:

MARKUP = ('md', )

from pelican_jupyter import liquid as nb_liquid
PLUGINS = [nb_liquid]

IGNORE_FILES = [".ipynb_checkpoints"]

After this you can use a liquid tag to include a notebook in any regular markdown article, for example mypost.md:

Title:
Slug:
Date:
Category:
Tags:
Author:
Summary:

{% notebook path/from/content/dir/to/notebook.ipynb %}

Recommend mode?

Personally I like Method A - Option 1 since I write the Notebooks first and then I just add the metadata file and keeps the notebook clean.

The Liquid tag mode provide more flexibility to combine an existing notebook code or output with extra text on a Markdown. You can also combine 2 or more notebooks in this mode. The only problem with the liquid tag mode is that it doesn't generate a summary for the article automatically from the notebook so you have to write it in the source .md file that includes the notebook.s

You can use both modes at the same time but you are probably going to see a exception that prevents conflicts, ignore it.

Note on CSS

If the notebooks look bad on your pelican theme this can help.

There is some issues/conflicts regarding the CSS that the Jupyter Notebook requires and the pelican themes.

I do my best to make the plugin work with every theme but for obvious reasons I cannot guarantee that it will look good in any pelican theme.

Jupyter Notebook is based on bootstrap so you probably will need your theme to be based on that it if you want the html and css to render nicely.

I try to inject only the necessary CSS by removing Jupyter's bootstrap code and only injecting the extra CSS code. In some cases but fixes are needed, I recommend looking at how my theme fixes them.

You can suppress the inclusion of any Notebook CSS entirely by setting IPYNB_SKIP_CSS=True, this allows more flexibility on the pelican theme.

The IPYNB_EXPORT_TEMPLATE option is another great way of extending the output natively using Jupyter nbconvert.

Settings

Note: If you are using the Liquid mode you need to set the variables like this inside the pelicanconf.py.

LIQUID_CONFIGS = (("IPYNB_EXPORT_TEMPLATE", "notebook.tpl", ""), )

If you are using the Markup mode then just add this variables to your pelicanconf.py.

Example template for IPYNB_EXPORT_TEMPLATE:

{%- extends 'basic.tpl' -%}

{% block header %}
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.3/jquery.min.js"></script>

<style type="text/css">
div.code_cell {
    border: 2px solid red;
}
</style>
{%- endblock header %}