semvec/pypi-packages huggingface dataset:
Topsis-Gurshan-102203008 0.1.0
A Python package implementing the TOPSIS method
Requires Python: >=3.6

# Topsis-Gurshan-102203008

**Topsis-Gurshan-102203008** is a Python package that implements the **TOPSIS** (Technique for Order of Preference by Similarity to Ideal Solution) method. This technique is commonly used for decision-making and multi-criteria decision analysis (MCDA) to rank and select alternatives based on various criteria.

## Features

- Implements the **TOPSIS** method for decision-making.
- Helps rank alternatives based on similarity to an ideal solution.
- Easy to use and integrate into any Python project.

## Installation

You can install the package directly from PyPI using pip:

```bash
pip install Topsis-Gurshan-102203008
```

## Usage

To use **Topsis-Gurshan-102203008**, you will need to prepare your data in either an Excel (`.xlsx`) or CSV (`.csv`) format. The first column should contain the names/labels of the alternatives, and the subsequent columns should contain the criteria values. The command line interface can be used as follows:

```bash
python 102203008.py <InputDataFile> <Weights> <Impacts> <ResultFileName>
```
QuantumTuna 0.6.1
A user-friendly quantum chemistry program for diatomics.
Requires Python: >=3.12
Keywords: dft, hartree-fock, molecular physics, mp2, quantum chemistry

# TUNA

Welcome to TUNA! A user-friendly quantum chemistry program for diatomics.

<br>
<p align="center"><img src="TUNA Logo.svg" alt="Fish swimming through a wavepacket" width=480 /></p>

## Contents

The repository includes:

* This README file
* The TUNA logo
* The file LICENSE with the MIT license
* The folder TUNA containing Python files
* The installation file pyproject.toml
* The TUNA manual
* A changelog

## Documentation

A copy of the TUNA manual can be found in this repository, and in the directory where the Python files are installed.

## Using TUNA

### Prerequisites
The program requires Python 3.12 or higher and the following packages:

* numpy
* scipy
* matplotlib
* plotly
* scikit-image
* termcolor

### Installation

The simplest way to install TUNA is by running

```
pip install QuantumTUNA
```

### Running

Add the folder where TUNA was installed to PATH, and then run ```TUNA --version``` which should print the correct version if TUNA has installed correctly.

The syntax of the command to run a TUNA calculation is:

```
TUNA [Calculation] : [Atom A] [Atom B] [Distance] : [Method] [Basis]
```

Read the manual for details!