Skip to main content

No project description provided

Project description

QuaRT - Quantum Radiation Transport

QuaRT is a free/open-source toolkit for the exploration of quantum methods for radiation transport, particularly for astrophysical and cosmological problems, developed by the Computational Cosmology group at Georgia Tech. It is distributed under the MIT License.

Installation

QuaRT is still in the development stage, so the latest nightly version of QuaRT is available on the GitHub under the main branch.

The latest stable release can be installed from the PyPI index as follows:

.. code:: bash

python -m pip install virtualenv
python -m virtualenv .venv
.venv/bin/activate
python -m pip install PyQuaRT

The source code for the latest stable release can be found under the latest stable/* branch.

The latest nightly version of QuaRT can be installed from source as follows:

.. code:: bash

git clone https://github.com/RasmitDevkota/QuaRT.git
cd QuaRT
python -m pip install virtualenv
python -m virtualenv .venv
.venv/bin/activate
python -m pip install -e .

Documentation

Documentation is hosted online on ReadtheDocs at https://pyquart.readthedocs.io.

Acknowledgements

This research was supported in part through research cyberinfrastructure resources and services provided by the Partnership for an Advanced Computing Environment (PACE) at the Georgia Institute of Technology, Atlanta, Georgia, USA [@PACE].

Contributing

We welcome contributions from anyone! A GitHub Issue may be used for making requests or reporting bugs. Please read our contributing guidelines.

Contact and Feedback

For bug reports and feature requests, please file a GitHub Issue.

If you have any questions, comments, or concerns regarding QuaRT, feel free to contact Rasmit Devkota at rdevkota3@gatech.edu.

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

pyquart-1.0.0.tar.gz (3.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyquart-1.0.0-py3-none-any.whl (3.0 kB view details)

Uploaded Python 3

File details

Details for the file pyquart-1.0.0.tar.gz.

File metadata

  • Download URL: pyquart-1.0.0.tar.gz
  • Upload date:
  • Size: 3.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for pyquart-1.0.0.tar.gz
Algorithm Hash digest
SHA256 a9acc18b09f655fd221b4f28789dff42c64f46e42834757b5727ff887bb693db
MD5 c0c564a50469b4c909d5115a5ef85a2c
BLAKE2b-256 a66b338f9fb6aeffccaca45dbb9adad8b8c7286773cecb4cb8c4ef30b28b8c33

See more details on using hashes here.

File details

Details for the file pyquart-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: pyquart-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 3.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for pyquart-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 16d28905e2be1962a84fa6808b3ec65094fc23361dcff6e8c334b78d70c0157b
MD5 0e92f067bc9a43ec3152f3d72b4f26b4
BLAKE2b-256 76befa9feb3decdfcd26f6af7d5127476593f4192cca86c63f1674172478f58a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page