Metadata-Version: 2.1
Name: nbsqueeze
Version: 0.0.2
Summary: A small Python package to minimize the file size of Jupyter notebooks by extracting figures.
Home-page: https://github.com/fligt/nbsqueeze
Author: Frank Ligterink
Author-email: frank.ligterink@gmail.com
License: MIT License
Keywords: nbdev jupyter notebook python
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: nbformat
Requires-Dist: ipynb-path
Requires-Dist: matplotlib
Requires-Dist: numpy
Provides-Extra: dev

Welcome to nbsqueeze
================

<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->

Creating plots in Jupyter notebooks is great for exploring your data.
The images that are generated by your plotting code are conveniently
stored within the notebook file as base64 encoded text strings. A
downside to this approach is that Jupyter notebooks with many plots
easily become quite large. Uploading such large notebook files to github
and subsequent testing and rendering of such notebooks to produce
documentation soon becomes intolerably slow…

This small Python package `nbsqueeze` is created to reduce the file size
of Jupyter notebooks by extracting embedded images as separate image
files. This open source package available via the Python Package index
<https://pypi.org>.

For documentation and source code see
[github](https://fligt.github.io/nbsqueeze/).


