semvec/pypi-packages huggingface dataset:
italian_vip_says 1.0.0
Find out what some Italian VIPs really say
License: MIT

# Italian Vip Says
[![codecov](https://codecov.io/gh/lotrekagency/italian-vip-says/branch/master/graph/badge.svg)](https://codecov.io/gh/lotrekagency/italian-vip-says)
[![Build Status](https://travis-ci.org/lotrekagency/italian-vip-says.svg?branch=master)](https://travis-ci.org/lotrekagency/italian-vip-says)
[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://github.com/Owanesh/italian-vip-says/blob/master/LICENSE)


**Cottanzo**: Ciao Jovy, come ttai?

**Jovanotty** : Fto bene, graffie. Fono folo un poco ftanco, vengo da Faffari

* * *

### Use it ✌��
```py
from italian_vip_says import cottanzo, jovanotty

jovanotty('Sono solo stasera a Sassuolo')
>>> Fono folo ftafera a Faffuolo

cottanzo('Sono solo stasera a Sassuolo')
>>> Tono tolo ttatera a Tattuolo

```


### Test it ����
```sh
pip install -r requirements-dev.txt

pytest -s --cov italian_vip_says
```


���� Based on [Jovanotti](https://github.com/dottorblaster/jovanotti "dottorblaster rulez")


![Maurittio](https://media.tenor.com/images/94585f8a56f4adaee5c1fc8434b86acc/tenor.gif)
projectpredict 0.0.1
A library to help schedule projects intelligently.
License: MIT
Keywords: scheduling,project management

# ProjectPredict

ProjectPredict is a library to help project managers gain insight into the status of their project using Bayesian
networks. It is inspired by the paper ["Project scheduling: Improved approach to incorporate uncertainty using Bayesian
networks](https://www.pmi.org/learning/library/project-scheduling-approach-incorporate-uncertainty-2371)
(Khodakarami, Fenton, & Neil, Project Management Journal, 2007). The project features

* Inferring the latest start date, earliest finish date, and total float for each task in a project
* Recommending which task or tasks should be started next using custom constraints and objective functions
* Task duration specified either through 
  [three-point (PERT) estimation](https://en.wikipedia.org/wiki/Three-point_estimation) or inferring the duration of a 
  task from a custom machine learning model
* Visualization of a project timeline using [Matplotlib](https://matplotlib.org)

## Installation
The easiest way to install ProjectPredict is to install it from PyPI using pip

`pip install projectpredict`

## Documentation

More information can be found [here](http://projectpredict.readthedocs.io/en/latest/)