Metadata-Version: 2.1
Name: explicit-numpy-broadcast
Version: 1.0.3
Summary: Explicit broadcasting rules in Jupyter for numpy arrays
Home-page: https://github.com/bellecp/explicit_numpy_broadcast
Author: bellecp
Author-email: pierre.bellec@rutgers.edu
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE


``pip install explicit_numpy_broadcast``

# Explicit broadcasting rules for numpy arrays: add, multiply, substract and @ (matrix multiplication)

In a jupyter notebook, print explicit messages to understand the broadcasting
rules applied  by ``numpy`` for multi-dimensional arrays.

For education/debugging purposes only! Do not use this in production.

See ``doc/example.ipynb`` for examples.


