semvec/pypi-packages huggingface dataset:
mangodistributions 0.0.2
A distribution package

# Readme for Mango_dist

## Installation
Run `pip install -i https://test.pypi.org/simple/ mangodistributions` in the command line

## Importing functionality
Import into a python script with `import mangodistributions as mg`

## Example functionality
Create a random sample of 10 values from Normal distribution with a mean of 5 and a standard deviation of 1:
```
import mangodistributions as mg

normal_dist = mg.Normal(n = 10, mean = 5, sd=1)
sample = normal_dist.draw()
 
```
Print summary metrics on your sample
```
import mangodistributions as mg

normal_dist = mg.Normal(n = 10, mean = 5, sd=1)
sample = normal_dist.draw()
normal_dist.summarise()
```
wranglepy 0.2
A python package containing some easy-to-use tools for data cleaning / Exploration and ML.

**wranglepy:**

A python package containing some easy-to-use functions for cleaning data.
>The package contains functions that allow you explore your data easily to:

- Find missing/null values visually,
- Remove missing values,
- Find categorcial variables in your datatset,
- Remove highly correlated values,
- Plot bar graphs and automatically add the percentages of variables,
- Plot twin axis bar graphs,
- Adjust size of bars in bar graphs,
- Model ML classification algorithms.
pypi-name 1.0.0
Check whether a package name is available on PyPI

## PyPI Name [![pipeline status](https://gitlab.com/yoginth/pypi_name/badges/master/pipeline.svg)](https://gitlab.com/yoginth/pypi_name/commits/master)

> Check whether a package name is available on PyPI

## Demo

Demo on [Repl.it](https://repl.it/@yoginth/pypi_name)

## Install

```
$ pip install pypi_name
```

## Usage

```python
from pypi_name import pypiName

print(pypiName('yoginth')) # False
print(pypiName('testname_that_no_one_keep')) # True

```

## License

[MIT][LICENSE] Yoginth

[LICENSE]: https://mit.yoginth.com