Skip to main content

functional, simple stochastic simulation

Project description

funcsim

Lightweight, functional stochastic simulation

Features:

  • cross-sectional and recursive dynamic simulations
  • pseudo-random numbers (so that results are comparable across multiple runs or scenarios)
  • stratified/Latin hypercube sampling
  • painless multi-core simulations
  • highly flexible, and as simple as possible (but no more)
  • functional paradigm

Developed using:

  • python >= 3.9
  • numpy 2.2.0
  • scipy 1.16.0
  • pandas 2.2.0
  • xarray 2025.4.0

For optional functionality, additinoal packages are needed:

  • plotting: plotly
  • some copula typed: copulae

Additionally, to run the demos, run tests, and build docs:

  • pytest
  • sphinx, sphinx-autodoc-typehints

building html docs

From the top-level funcsim directory...

sphinx-build -b html docs/source/ docs/build/

running tests

From the top-level funcsim directory...

python3 -m pytest

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

funcsim-0.1.20.tar.gz (58.7 kB view details)

Uploaded Source

Built Distribution

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

funcsim-0.1.20-py3-none-any.whl (74.5 kB view details)

Uploaded Python 3

File details

Details for the file funcsim-0.1.20.tar.gz.

File metadata

  • Download URL: funcsim-0.1.20.tar.gz
  • Upload date:
  • Size: 58.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for funcsim-0.1.20.tar.gz
Algorithm Hash digest
SHA256 bd8ea788d0ee2b2e99e67541b239b6549dbbf143d61bb282615593a7ca7f284f
MD5 a322a74cdeb8a7d20829ae7a49bdef4b
BLAKE2b-256 c3be27e1c3da5d77fbee0d64edf80c971a52a12e0e8cbe78a2d22033dbf782aa

See more details on using hashes here.

File details

Details for the file funcsim-0.1.20-py3-none-any.whl.

File metadata

  • Download URL: funcsim-0.1.20-py3-none-any.whl
  • Upload date:
  • Size: 74.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for funcsim-0.1.20-py3-none-any.whl
Algorithm Hash digest
SHA256 ce790e2ee0f8c895f06547c0e5b704a6752efe1d6ac17fd3f5be40a98dd6180e
MD5 97048d6bad180b020103c811308b2098
BLAKE2b-256 e4c2a19c18c4fd2e600f28c0e23505932222feb1caec153659bd48c3f6f5bf5e

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