Skip to main content

AnomalousLib is a Python library designed for the study of anomalous diffusion. It enables dataset generation, statistical analysis, model inference, and integrated result visualization.

Project description

Para hacer pruebas en local (des de la raiz del repositorio): python -m build pip install .\dist\anomalouslib-0.1.0-py3-none-any.whl --force-reinstall

Para hacer update de los requirements: pip freeze > requirements.txt

No instalar una versión que no sea local a este repositorio (no?)

Para subirlo: twine upload dist/* Link

Activate: en powershell: .\venv\Scripts\Activate.ps1

deactivate: en powershell : deactivate

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

anomalouslib-0.1.5.tar.gz (11.8 kB view details)

Uploaded Source

Built Distribution

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

anomalouslib-0.1.5-py3-none-any.whl (14.9 kB view details)

Uploaded Python 3

File details

Details for the file anomalouslib-0.1.5.tar.gz.

File metadata

  • Download URL: anomalouslib-0.1.5.tar.gz
  • Upload date:
  • Size: 11.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for anomalouslib-0.1.5.tar.gz
Algorithm Hash digest
SHA256 f86342de89c27b299e0093de73037de32cb574038c797c7907709b52036a3e55
MD5 8bc151731333d082fea3ddfa70fd5875
BLAKE2b-256 feedddc597591ad906b9bda3f4b095834e3c25daf9089c40dadf7220fef73866

See more details on using hashes here.

File details

Details for the file anomalouslib-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: anomalouslib-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 14.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for anomalouslib-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 e34d13816833b455465b247b05f9eaae603ee6913a8dfb8100d241c65b4e36a8
MD5 168131d34c530f88098a57bde319a9dd
BLAKE2b-256 d16cad0dc3f3a9f6f1784b784c200e985d3d1a3e5a2e2c90d4f0e35625d01ab3

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