Skip to main content

A simple Markov chain implementation

Project description

A simple Markov Chain implementation

Installation

Installing from pip:

pip install markos

Installing from source:

pip install git+https://github.com/blazaid/markos

Requirements

No requirements for now.

Documentation

WIP

Authors

markos was written by Blazaid.

Thanks

To you, for using the library, for helping me to make it faster and better, for learn with it and for releasing your code to make the knowledge and the science open for the rest of humanity.

Warning

It has been developed with only python >= 3.5 in mind, so it won’t probably work on lower versions (i.e. no python 2.X support).

Second warning

English included in both this document and the code can be devastating for the brain of an average human being. Even so we, the poor developers, are working hard to write as correctly as possible and learn along the way. The documentation will be updated as we improve our language proficency as well as we receive critical / suggestions for this.

Project details


Download files

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

Source Distributions

markos-0.0.4.tar.gz (2.6 kB view hashes)

Uploaded source

markos-0.0.4.macosx-10.6-intel.tar.gz (4.0 kB view hashes)

Uploaded source

Built Distribution

markos-0.0.4-py3-none-any.whl (4.3 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page