semvec/pypi-packages huggingface dataset:
101703301-project3 0.0.1
Handling NULL values in a dataset using backfill and forwardfill
Requires Python: >=3.6

#Handling NULL values in a dataset.
##Project3 UCS633
##Submitted by Kushagra Thakral 101703301<br>
To run in cmd line:<br>
python3 missing.py input_file_name.csv<br>
Count of null values present in each columns will be displayed.<br>
Then count of null values present after the use of package will be displayed(null values will be zero).<br>
Then the dataset will be displayed(first 5 rows).<br>
An output fill will be created with the name input_file_name_not_null.csv<br>
The package only works for csv files.<br>
This package uses backfill method followed by forward fill method to handle all the null values<br>
missing-101703571 0.0.1
Python package for filling the missing values using mean(Statistical model)
Requires Python: >=3.6

﻿# Filling Missing Values

Missing Data can occur when no information is provided for one or more items or for a whole unit. Missing Data is a very big problem in real life scenario. Missing Data can also refer to as `NA`(Not Available) values in pandas. In DataFrame sometimes many datasets simply arrive with missing data, either because it exists and was not collected or it never existed.
In this package, the missing values in a csv file are filled using the fillna function in pandas. For this the statistical model of mean is used.

## Usage

$ python3 missing_101703571.py filename
> Link for installation has been provided above
open-github 2.0.0
A simple script that opens a Github page from the command line.
Requires Python: >=3.6

# Open Github

A simple script that opens a Github page from the command line.

## Installation

`pip install open-github`

After installing you can make the package available in your path and bind it to any shortcut you want.

`alias og='/Users/${USER}/Library/Python/3.7/lib/python/site-packages/open_github_pkg/__init__.py'`

https://pypi.org/project/open-github/

## Usage

Navigate to any directory with a github repository and run the alias you have assigned to the script.

Example:

`og`

This will open your browser with the appropiate Github repository homepage.

As well, running with the flag `-v` will simply print the url to the console.

`og -v`

## Deploying

In order to deploy package the following tools are needed, pip, sdist & twine.

#### Bump version

In the `setup.py` bump version of package.

#### Generate distribution archive

`python3 setup.py sdist bdist_wheel`

This command should output a lot of text and once completed should generate two files in the dist directory.

#### Upload the distrubution package

`python3 -m twine upload dist/*`

If you need to use the development environment simply use:

`python3 -m twine upload --repository-url https://test.pypi.org/legacy/ dist/*`



#### Reference:
- https://packaging.python.org/tutorials/packaging-projects/
- https://packaging.python.org/overview/