Markdown Kernel 0.2.2 | GitLocker.com Product

Description:

markdownkernel 0.2.2

A markdown kernel for Jupyter
Installation
If you are using a conda environment, you can install markdown-kernel with command
conda install -c conda-forge markdown-kernel

Otherwise, with a working Jupyter installation, you can install markdown-kernel with commands
pip install markdown-kernel
python -m markdown_kernel.install

You can verify if a markdown kernel is properly installed with command
jupyter kernelspec list

Use a markdown kernel by itself
markdown-kernel is a simple Jupyter kernel that displays
cell content as markdown. To use this kernel, you can start a Jupyter
server with command jupyter notebook or jupyter lab, create a notebook
with this kernel, enter and render markdown texts.

But wait, this is stupid because you can do the same thing in
Jupyter, only easier. What is the point of a markdown kernel by itself?
Use a Markdown kernel in SoS Notebook
If you are familiar with R Markdown, you might know and like its inline code that allows results to be inserted directly into the text of a .Rmd file by enclosing the code with `r `. This is really convenient for
writing Rmarkdown report but cannot be done in Jupyter because Jupyter's markdown cells are rendered at the frontend and do not interact with Jupyter kernels (See ipython/ipython#2592, jupyter/help#41,and jupyter/notebook#3463 for related discussions).
SoS Notebook is a Jupyter kernel that supports the
use of multiple kernels in one Jupyter notebook. Although a markdown kernel by itself cannot
interpolate and evaluate expressions either, you can the %expand magic of SoS to enable
inline expressions in Jupyter, for Python, R, and potentially many other languages. Here
is how it works:
Expand expressions with SoS (Python) variables
The SoS kernel is a super kernel that starts and communicates with all other Jupyter
kernels. Its syntax is a super set of Python 3.6+ so you can execute any Python code
in SoS kernels. The %expand magic treats the content of a markdown cell as a Python
f-string and expands expressions enclosed in { }, or other delimiters as option of
magic %expand.

NOTE: Starting from jupyterlab-sos version 0.6.3,
the input of codecell with Markdown kernel are folded automatically after cell execution.
Expand expressions in subkernels such as R
The --in option of magic %expand allows you to expand the cell content in
specified subkernel, if its language module supports the expand protocol. This
allows the content in markdown cells to be expanded in other languages such as R.
Most notably, you can use
%expand `r ` --in R

to expand inline expressions in R Markdown texts.

This technique is used by sos-rmarkdown, a RMarkdown to SoS Notebook converter to convert markdown text with inline expressions.