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https://github.com/williamjameshandley/py2nb

convert python scripts to jupyter notebooks
https://github.com/williamjameshandley/py2nb

converter ipython jupyter-notebook python python-script

Last synced: 2 months ago
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convert python scripts to jupyter notebooks

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README

        

==================================================
py2nb: convert python scripts to jupyter notebooks
==================================================
:py2nb: convert python scripts to jupyter notebooks
:Author: Will Handley
:Version: 1.0.0
:Homepage: https://github.com/williamjameshandley/py2nb

.. image:: https://badge.fury.io/py/py2nb.svg
:target: https://badge.fury.io/py/py2nb
:alt: PyPi location

Description
===========

``py2nb`` is a python package for converting python scripts with minimal
markdown to jupyter notebooks.

Markdown cells are rendered from comments beginning with ``#|``, splits between
code cells are created by comment lines beginning with ``#-``

``nb2py`` converts from jupyter notebooks to python

Installation
============

Users can install using pip:

.. code:: bash

pip install py2nb

from source:

.. code:: bash

git clone https://github.com/williamjameshandley/py2nb
cd py2nb
python setup.py install

or for those on `Arch linux `__ it is
available on the
`AUR `__

Example
=======

If one has a script named ``example.py`` containing the code:

.. code:: python

#| # Testing ipython notebook
#| This is designed to demonstrate a simple script that converts a script into
#| a jupyter notebook with a simple additional markdown format.
#|
#| Code by default will be put into code cells
#|
#| * To make a markdown cell, prefix the comment line with with '#|' or '# |'
#| * To split a code cell, add a line beginning with '#-' or '# -'

import matplotlib.pyplot as plt
import numpy as np

%matplotlib inline

#| Here is a markdown cell.
#| Maths is also possible: $A=B$
#|
#| There are code cells below, split by `'#-'`:

# | Here is another markdown cell

x = np.random.rand(5)

#-------------------------------

y = np.random.rand(4)
z = np.random.rand(3)

#| Here are some plots

x = np.linspace(-2,2,1000)
y = x**3
fig, ax = plt.subplots()
ax.plot(x,y)

# -------------------------------

# | Here is another plot

x = np.linspace(-np.pi, np.pi, 201)
fig, ax = plt.subplots()
ax.plot(x,np.sin(x))

then running

.. code :: bash

py2nb example.py

produces the notebook `example.ipynb `_

To do
=====
- evaluation option for script produced
- vim syntax highlighting for markdown code blocks