Metadata-Version: 2.1
Name: PyDTMC
Version: 5.9.0
Summary: A framework for discrete-time Markov chains analysis.
Home-page: https://github.com/TommasoBelluzzo/PyDTMC
Author: Tommaso Belluzzo
Author-email: tommaso.belluzzo@gmail.com
Maintainer: Tommaso Belluzzo
Maintainer-email: tommaso.belluzzo@gmail.com
License: MIT
Project-URL: Bug Tracker, https://github.com/TommasoBelluzzo/PyDTMC/issues
Project-URL: Funding, https://www.paypal.com/donate?hosted_button_id=D8LH6DNYN7EN8
Keywords: mathematics statistics probability markov-chain stochastic-process analysis fitting simulation
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Education
Classifier: Topic :: Office/Business :: Financial
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing :: General
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: matplotlib
Requires-Dist: networkx
Requires-Dist: numpy
Requires-Dist: scipy
Provides-Extra: docs
Requires-Dist: sphinx ; extra == 'docs'
Requires-Dist: sphinx-autodoc-typehints ; extra == 'docs'
Requires-Dist: sphinx-rtd-theme ; extra == 'docs'
Provides-Extra: tests
Requires-Dist: coverage ; extra == 'tests'
Requires-Dist: pytest ; extra == 'tests'
Requires-Dist: pytest-cov ; extra == 'tests'

PyDTMC is a full-featured, lightweight library for discrete-time Markov chains analysis. It provides classes and functions for creating, manipulating, simulating and visualizing markovian stochastic processes.


