lvlspy is a python package for working with quantum level-system data.
Installation
Install from PyPI with pip by typing in your favorite terminal:
$ pip install lvlspy
If you already have installed and wish to update lvlspy to the latest version, you will have to do it via:
$ pip install lvlspy --upgrade
We are working on bringing lvlspy to Anaconda. For now, you will have to use the built-in pip manager in Anaconda instead of the conda package manager. This page will be updated when the package is up on Anaconda.
Usage
To get familiar with lvlspy, please see our tutorial Jupyter notebooks.
This Jupyter notebook uses lvlspy to reproduce the results found in Gupta and Meyer.
Documentation
The project documentation is available at https://lvlspy.readthedocs.io.
Attribution
To cite this code, please visit the Zenodo page for this project. From that page, you can export the appropriate reference in BibTex or other formats.
Contribute
Issue Tracker: https://github.com/jaadt7/issues/
Source Code: https://github.com/jaadt7/lvlspy/
License
The project is licensed under the GNU Public License v3 (or later).
1 maintainer
Metadata
1 maintainer
Release files for lvlspy 4.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| lvlspy-4.0.0.tar.gz | 38.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lvlspy-4.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 84.4 kB
Release files / lvlspy-4.0.0.tar.gz
| Download URL | lvlspy-4.0.0.tar.gz |
|---|---|
| Size | 38.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.3
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Release files / lvlspy-4.0.0-py3-none-any.whl
| Download URL | lvlspy-4.0.0-py3-none-any.whl |
|---|---|
| Size | 46.1 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? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.3
|
Security for lvlspy 4.0.0
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None of the files in this release were uploaded with provenance metadata.
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