DumPy: NumPy except it's OK if you're dum
Project description
DumPy: NumPy except it's OK if you're dum
DumPy is an interface for (Jax's version) NumPy that tries to avoid all the endless sharp corners.
Installation
pip install dumpy-numpy
Or if you use UV and you want to play around without creating an environment, try this one-liner:
uv run --with dumpy-numpy --with ipython ipython
Example usage
import dumpy as dp
A = dp.Array([0,1,2])
B = dp.Array([0,10])
C = dp.Slot()
C['i','j'] = A['i'] + B['j']
C
This results in
Slot([[ 0 10]
[ 1 11]
[ 2 12]], shape=(3, 2))
More details
See dynomight.net/dumpy for full details.
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
dumpy_numpy-0.1.4.tar.gz
(8.2 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dumpy_numpy-0.1.4.tar.gz.
File metadata
- Download URL: dumpy_numpy-0.1.4.tar.gz
- Upload date:
- Size: 8.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.6.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
803208b8d6851134abd6e05c9f254f9efccf98a18e28b4f795ed36de05efc7b1
|
|
| MD5 |
137acfbb8b9d2037b99544184e0844a6
|
|
| BLAKE2b-256 |
6004c8e0a0634727e6babf7969bb6179041bff18c3cc46be19db13af21cbdf21
|
File details
Details for the file dumpy_numpy-0.1.4-py3-none-any.whl.
File metadata
- Download URL: dumpy_numpy-0.1.4-py3-none-any.whl
- Upload date:
- Size: 10.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.6.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6c80d34c27b9d30366aeaf7a733b657300ae360cb4f6f418f8558b11dd06baa4
|
|
| MD5 |
78a78caefacf0946cb7fb19a0888e9c2
|
|
| BLAKE2b-256 |
78247394649b3e7de2db6d8b1934024a7287d3d4c024f952b94ecf297f691d3e
|