Skip to main content

Interactive learning through stochastic simulations and modeling.

Project description

StochastiPy

StochastiPy is a Python package designed to explore and learn about statistical models, probability distributions, and random processes. With features like simulation, model evaluation, and interactive visualizations, it serves as a hands-on educational tool for students, professionals, and enthusiasts aiming to deepen their understanding of statistical methods.

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

stochastipy-0.1.0.tar.gz (2.4 kB view details)

Uploaded Source

Built Distribution

stochastipy-0.1.0-py3-none-any.whl (2.5 kB view details)

Uploaded Python 3

File details

Details for the file stochastipy-0.1.0.tar.gz.

File metadata

  • Download URL: stochastipy-0.1.0.tar.gz
  • Upload date:
  • Size: 2.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.10

File hashes

Hashes for stochastipy-0.1.0.tar.gz
Algorithm Hash digest
SHA256 779356a9047b45c9c4d370b9b99ffbc3366b65efd6e17b6814568e788da5f9cf
MD5 a197abde66142be633ee82f52d84faf8
BLAKE2b-256 8a20f7e0236785de9975dc24e890727b3434b58a8a596ce32e06b4c76e06a9d9

See more details on using hashes here.

File details

Details for the file stochastipy-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: stochastipy-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 2.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.10

File hashes

Hashes for stochastipy-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 14a4b17d453cc91d5759d1f5517b256a487ba84d413fc02c3b4491f574810247
MD5 5ed617529d5bbbb56d48aa8d6e381b58
BLAKE2b-256 fb388e73bc5b4f3a38fa2f96534dead938cecc30ee204fa3f1a19034ea308553

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