pycommute is a Python package providing bindings for the libcommute quantum operator algebra library.
You can find a few usage examples and an API reference at pycommute's documentation website.
Automated installation of the PyPI package
$ pip install pycommute
Automated installation of the conda package
$ conda install krivenko::pycommute
Installation from sources
-
Download source code of libcommute 1.0.0 or newer and optionally install it.
-
Install Python prerequisites:
-
Run the following command in the unpacked source archive of pycommute,
LIBCOMMUTE_INCLUDEDIR="<path_to_libcommute>/include" pip install .
<path_to_libcommute> must be either installation or source directory of
libcommute.
Docker images
Docker images of tagged releases of pycommute are available from Docker Hub.
$ docker run --rm -p 8888:8888 ikrivenko/pycommute:latest
This command will pull the most recent image and launch a Jupyter notebook server accessible at http://127.0.0.1:8888/. The server is run in a directory with a few interactive example notebooks.
Citing
If you find this package useful for your research, you can help me by citing it using the following BibTeX entry.
@article{pycommute,
title = {{libcommute/pycommute: A quantum operator algebra domain-specific
language and exact diagonalization toolkit}},
author = {Igor Krivenko},
journal = {SoftwareX},
volume = {17},
pages = {100937},
year = {2022},
issn = {2352-7110},
doi = {10.1016/j.softx.2021.100937}
}
License
This Source Code Form is subject to the terms of the Mozilla Public License, v. 2.0. If a copy of the MPL was not distributed with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
Release files for pycommute 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pycommute-1.0.0.tar.gz | 111.3 kB | Details |
Release files / pycommute-1.0.0.tar.gz
| Download URL | pycommute-1.0.0.tar.gz |
|---|---|
| Size | 111.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a45e8ed1198497030e3b311ebd45908c075903c9ab1ba29ba370a96d60e1b7c2
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| Uploaded via |
twine/6.1.0 CPython/3.13.7
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