Skip to main content

PAMS: Platform for Artificial Market Simulations

Project description

pams

PAMS: Platform for Artificial Market Simulations

python pypi CI downloads code style: black Codacy Badge codecov

Documentations & User Guides

Documentations are available on readthedoc

Install

This package is available on pypi as pams

$ pip install pams
$ python
>> import pams

Citation

Currently, no publication related to this repository. Therefore, please cite this repository directly if you want.

@misc{Hirano2022-pams
    title={{PAMS: Platform for Artificial Market Simulations}},
    autors={Masanori HIRANO, Ryosuke TAKATA},
    year={2022},
    url = {https://github.com/masanorihirano/pams}
}

Issues and Contribution

About issues (bugs):

  • You can report issues here.
  • There are no guarantee to support or fix those issues.

Contributions:

  • You can send pull requests (PRs) to this repository.
  • But, there are no guarantee to merge your PRs.

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

pams-0.1.3.tar.gz (39.8 kB view details)

Uploaded Source

Built Distribution

pams-0.1.3-py3-none-any.whl (54.5 kB view details)

Uploaded Python 3

File details

Details for the file pams-0.1.3.tar.gz.

File metadata

  • Download URL: pams-0.1.3.tar.gz
  • Upload date:
  • Size: 39.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.9.17 Linux/5.15.0-1041-azure

File hashes

Hashes for pams-0.1.3.tar.gz
Algorithm Hash digest
SHA256 0fa7dd0c13fcf1804e8157c3c717d66a0382b02776083b1d787065d025aee392
MD5 112bd00dc0ef5313609f568f049965d6
BLAKE2b-256 6cba20d841b7685a841c7047894072099a49979f7ad7b41a962b5c4541aa62a2

See more details on using hashes here.

File details

Details for the file pams-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: pams-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 54.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.9.17 Linux/5.15.0-1041-azure

File hashes

Hashes for pams-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 636345e09676dc46dd568295b13ea62da641442f7cc6f1cdbc26fee6ff0498d3
MD5 b95bf7b2a8f07d6ebe083c6146085565
BLAKE2b-256 0f9fc3fef29ba3c11a1d85fcfa5134da67b52407c8cdf9c74709f58a6bb9890f

See more details on using hashes here.

Supported by

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