Python project to work with quantum level system data
Project description
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.
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).
Project details
Release history Release notifications | RSS feed
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 lvlspy-3.0.3.tar.gz
.
File metadata
- Download URL: lvlspy-3.0.3.tar.gz
- Upload date:
- Size: 26.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 90e337221d4cff6f255cd767eaaf4f16f5c705868e367dfb6f2ce15d71be17b8 |
|
MD5 | a04b2739dc4871e93a3467c59fe8ed3f |
|
BLAKE2b-256 | e0a4105e7db2a8d0d5dee8710e6b7dfd4ae2f872582986481797d40ffd3506d2 |
File details
Details for the file lvlspy-3.0.3-py3-none-any.whl
.
File metadata
- Download URL: lvlspy-3.0.3-py3-none-any.whl
- Upload date:
- Size: 31.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 56faf25913cd6e9cf4b41a873eb61e0aefed142834a15c57ceb64820066e35dd |
|
MD5 | 7abf67bc6df23675a19640376b6f980f |
|
BLAKE2b-256 | 00809e1aaa22c5ca752395d2da9173a72e7c0e10fe12e2a1b8c49b204c7e1670 |