A python package for Markov chain modeling

Navigation

Verified details

These details have been verified by PyPI
Project links
Maintainers
Avatar for juanfperez from gravatar.com juanfperez Avatar for m.urango from gravatar.com m.urango Avatar for PJCORTES93 from gravatar.com PJCORTES93 Avatar for samuelrios from gravatar.com samuelrios

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: Juan F Perez
  • Requires: Python >=3.8
Classifiers
Report project as malware

Project description

jmarkov

jMarkov is a library to simplify the modeling of systems with Markov chains.

With jmarkov it is possible to model

  • Continuous-time Markov chains (CTMCs)
  • Discrete-time Markov chains (DTMCs)
  • Infinite and finite Birth-Death processes (BDs)
  • Queueing systems
  • Markov decision processes (MDPs)
  • Stochastic dynamic programs (SDPs)

To use it you can install it from pypi with the command

pip install jmarkov

You can find the documentation on how to use it here

Project details

Verified details

These details have been verified by PyPI
Project links
Maintainers
Avatar for juanfperez from gravatar.com juanfperez Avatar for m.urango from gravatar.com m.urango Avatar for PJCORTES93 from gravatar.com PJCORTES93 Avatar for samuelrios from gravatar.com samuelrios

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: Juan F Perez
  • Requires: Python >=3.8
Classifiers

Release history Release notifications | RSS feed

0.3.13

0.3.12

0.3.11

0.3.10

0.3.9

0.3.8

0.3.7

This version

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.2.3

0.2.2

0.2.1

0.2.0

0.1.3

0.1.2

0.1.1

0.1.0

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jmarkov-0.3.6.tar.gz (808.5 kB view details)

Uploaded Source

Built Distribution

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

jmarkov-0.3.6-py3-none-any.whl (33.4 kB view details)

Uploaded Python 3

File details

Details for the file jmarkov-0.3.6.tar.gz.

File metadata

  • Download URL: jmarkov-0.3.6.tar.gz
  • Upload date:
  • Size: 808.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.7

File hashes

Hashes for jmarkov-0.3.6.tar.gz
Algorithm Hash digest
SHA256 767ce28056b1f02ee70dd7c7ab9fe169845750af18970a981307a0a2164e42e4
MD5 da4649fe78b13725f555d6d37e662acf
BLAKE2b-256 74f60ac2ef44d05594e050f07cfb05699e2857be2e7858b29748c26005ff8984

See more details on using hashes here.

File details

Details for the file jmarkov-0.3.6-py3-none-any.whl.

File metadata

  • Download URL: jmarkov-0.3.6-py3-none-any.whl
  • Upload date:
  • Size: 33.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.7

File hashes

Hashes for jmarkov-0.3.6-py3-none-any.whl
Algorithm Hash digest
SHA256 eb05561f36c2b5444ac56d2f37ef61187ba23100dffee68d2ae211efafffd59d
MD5 4b809372d56c232460502ec40a3e7728
BLAKE2b-256 f8ae8ab3b9efd314ff1d190390af3ccef5dafa90881bc59b0bdba59c07ad0a5f

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