semvec/pypi-packages huggingface dataset:
populartwitterbot 0.0.3
A python bot that try to find some kind of popularity in the twitter community.
License: MIT

populartwitterbot
=================

[![Gitter](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/limiear/populartwitterbot?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)

[![License](https://img.shields.io/pypi/l/populartwitterbot.svg)](https://raw.githubusercontent.com/limiear/populartwitterbot/master/LICENSE) [![Downloads](https://img.shields.io/pypi/dm/populartwitterbot.svg)](https://pypi.python.org/pypi/populartwitterbot/) [![Build Status](https://travis-ci.org/limiear/populartwitterbot.svg?branch=master)](https://travis-ci.org/limiear/populartwitterbot) [![Coverage Status](https://coveralls.io/repos/limiear/populartwitterbot/badge.png)](https://coveralls.io/r/limiear/populartwitterbot) [![Code Health](https://landscape.io/github/limiear/populartwitterbot/master/landscape.png)](https://landscape.io/github/limiear/populartwitterbot/master) [![PyPI version](https://badge.fury.io/py/populartwitterbot.svg)](http://badge.fury.io/py/populartwitterbot)
[![Stories in Ready](https://badge.waffle.io/limiear/populartwitterbot.png?label=ready&title=Ready)](https://waffle.io/limiear/populartwitterbot)

A python library that allow you to make a bot that try to find some kind of popularity in the twitter community.

Requirements
------------

If you want to use this library on any GNU/Linux or OSX system you just need to execute:

    $ pip install populartwitterbot

If you want to improve this library, you should download the [github repository](https://github.com/limiear/populartwitterbot) and execute:

    $ make deploy


Testing
-------

To test all the project you should use the command:

    $ make test

If you want to help us or report an issue join to us through the [GitHub issue tracker](https://github.com/limiear/populartwitterbot/issues).
dirichletprocess 0.2.0
Tools for Dirichlet Processes
License: MIT
Keywords: dirichlet process

dirichlet
=========

[![image](https://img.shields.io/travis/tdhopper/dirichlet.svg)](https://travis-ci.org/tdhopper/dirichlet)

[![image](https://img.shields.io/pypi/v/dirichlet.svg)](https://pypi.python.org/pypi/dirichlet)

Construct a [Dirichlet Process](https://github.com/tdhopper/notes-on-dirichlet-processes) from any random sampler.

```
In [1]: from dp import DirichletProcess

In [2]: from random import normalvariate

In [3]: from collections import Counter

In [4]: dp =  DirichletProcess(lambda: normalvariate(0, 1), alpha=1)

In [7]: Counter(dp() for _ in range(1000))
Out[7]: Counter({-0.029073686274754998: 679, 0.7332646430104509: 301, 0.23296111210571477: 12, -0.7042044460111074: 4, -2.2504937687943922: 4})
```

Install with `pip install dirichletprocess` or `conda install -c tdhopper dirichletprocess`.

History
=======

0.2.0 (2015-08-13)
==================

-  Basic functionality added.