Explicit broadcasting rules in Jupyter for numpy arrays
Project description
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.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file explicit_numpy_broadcast-1.0.2.tar.gz
.
File metadata
- Download URL: explicit_numpy_broadcast-1.0.2.tar.gz
- Upload date:
- Size: 3.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3b977b11d1b20f94db3cd73fb8261c5565ce553280610bdd02a00904b6bfa147 |
|
MD5 | 12d95e8bb0adadd7051fb235ddf7693f |
|
BLAKE2b-256 | 68be64efca2a8e8d1cb67c553522afc0891a3969b88b5318707e9c13e5455082 |
File details
Details for the file explicit_numpy_broadcast-1.0.2-py3-none-any.whl
.
File metadata
- Download URL: explicit_numpy_broadcast-1.0.2-py3-none-any.whl
- Upload date:
- Size: 6.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 91a9571ed4299d262c0c1a81dd99bce556e0e99de9e4ffbfe0962657b97b606a |
|
MD5 | 598ebce1e45d7d23a3b3b8537a917fcc |
|
BLAKE2b-256 | 50d6752a0b70dc778ebe9dd99e2026993133c641b19017a9a754e896a2377741 |