semvec/pypi-packages huggingface dataset:
topsis-pckg-bansalz1208 0.0.1
it is package which tells you best value based on the data by using some mathematical calculations
Requires Python: >=3.6

# topsis_pckg

it is a Python package to find out the best value among the different data using the mathematical calculations.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install this package.

```bash
pip install topsis_pckg
```
##Pre-requisite
The data should be enclosed in the csv file.

##Result
the result.csv is saved in the project folder with extra 2 columns with topsis score and rank.
## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

## License
[MIT](https://choosealicense.com/licenses/mit/)
unitlib 0.3
📐 Physical units for NumPy arrays ⏱ Fast • Simple • High voltage
Requires Python: >= 3.6

# 📐 unitlib

- Physical units for NumPy arrays.
- Fast, simple, high voltage ⚡



## Why

`unitlib` was born out of frustration with other Python unit packages.
Those packages work well for toy experiments, but they greatly slow down your code.
This makes their use unfeasible for even moderate scale scientific simulations.



## Installation

```
$ pip install unitlib
```
This will get you the

[![latest release on PyPI](https://img.shields.io/pypi/v/unitlib.svg?label=latest%20release%20on%20PyPI:)](https://pypi.python.org/pypi/unitlib/)

`unitlib` is tested on Python versions 3.9 down to 3.6, on Windows, Linux and MacOS.



## For developers

The following indicates whether the latest commit on the main branch passes all tests:

[![CI status](https://github.com/tfiers/unitlib/workflows/CI/badge.svg)](https://github.com/tfiers/unitlib/actions)

(This only pertains to development code. The `unitlib` versions on PyPI
pass all tests on release, of course).