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sph_harm
Documentation: https://sph_harm.readthedocs.io
Source Code: https://github.com/34j/sph_harm
Hyperspherical harmonics in NumPy / PyTorch / JAX
Installation
Install this via pip (or your favourite package manager):
pip install sph_harm
Contributors ✨
Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!
Credits
This package was created with Copier and the browniebroke/pypackage-template project template.
1 maintainer
Metadata
1 maintainer
Release files for sph-harm 1.0.0
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sph_harm-1.0.0.tar.gz | 5.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sph_harm-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.2 kB
Release files / sph_harm-1.0.0.tar.gz
| Download URL | sph_harm-1.0.0.tar.gz |
|---|---|
| Size | 5.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / sph_harm-1.0.0-py3-none-any.whl
| Download URL | sph_harm-1.0.0-py3-none-any.whl |
|---|---|
| Size | 4.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
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PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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