semvec/pypi-packages huggingface dataset:
TOPSIS-Tanisha-101803042 1.0
Topsis Score and Rank generator
License: MIT
Keywords: topsis,topsis score,rank,Thapar

# TOPSIS
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a multi-criteria decision making method. 
The method is based on finding an ideal and an anti-ideal solution and comparing the distance of each one of the alternatives to those.
TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution, and greatest distance from the negative-ideal solution.

## Package Usage
To install the package:  
**pip install TOPSIS-Tanisha-101803042**  
This is a package focusing on finding the topsis score and rank of a dataframe **(csv file)** with only numerical values.

## Python IDLE or any Editor   
> import TOPSIS-Tanisha-101803042.topsis  
> f = "input_csv_filepath"  
> w = "1,1,1,1"  
> im = "+,+,+,-"  
> r = "result_csv_filepath"  
> TOPSIS-Tanisha-101803042.topsis(f,w,im,r)  
The final result can be seen in the result file given as r.
pyfb-company 1.3.0
Company package for pyfreebilling application
License: MIT
Keywords: pyfb-company

=============================
pyfb-company
=============================

.. image:: https://badge.fury.io/py/pyfb-company.svg
    :target: https://badge.fury.io/py/pyfb-company

.. image:: https://travis-ci.org/mwolff44/pyfb-company.svg?branch=master
    :target: https://travis-ci.org/mwolff44/pyfb-company

.. image:: https://codecov.io/gh/mwolff44/pyfb-company/branch/master/graph/badge.svg
    :target: https://codecov.io/gh/mwolff44/pyfb-company

Company package for pyfreebilling application

Documentation
-------------

The full documentation is at https://pyfb-company.readthedocs.io.

Quickstart
----------

Install pyfb-company::

    pip install pyfb-company

Add it to your `INSTALLED_APPS`:

.. code-block:: python

    INSTALLED_APPS = (
        ...
        'pyfb_company.apps.PyfbCompanyConfig',
        ...
    )

Add pyfb-company's URL patterns:

.. code-block:: python

    from pyfb_company import urls as pyfb_company_urls


    urlpatterns = [
        ...
        url(r'^', include(pyfb_company_urls)),
        ...
    ]

Features
--------

* TODO

Running Tests
-------------

Does the code actually work?

::

    source <YOURVIRTUALENV>/bin/activate
    (myenv) $ pip install tox
    (myenv) $ tox

Credits
-------

Tools used in rendering this package:

*  Cookiecutter_
*  `cookiecutter-djangopackage`_

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`cookiecutter-djangopackage`: https://github.com/pydanny/cookiecutter-djangopackage




History
-------

1.3.0 (2020-12-23)
++++++++++++++++++

* Move Customer related stuff to customer model
* Move Provider related stuff ti provider model

1.2.0 (2020-09-17)
++++++++++++++++++

* Addition of a parameter to authorize the update of the balance 

1.1.0 (2020-09-14)
++++++++++++++++++

* Add a settings to block call if credit limit is reached

1.0.0 (2020-05-21)
++++++++++++++++++

* update dependencies


0.9.0 (2018-12-10)
++++++++++++++++++

* First release on PyPI.