semvec/pypi-packages huggingface dataset:
wolframalphaforked 4.0.2
Wolfram|Alpha 2.0 API client
Requires Python: >=3.6

.. image:: https://img.shields.io/pypi/v/wolframalpha.svg
   :target: `PyPI link`_

.. image:: https://img.shields.io/pypi/pyversions/wolframalpha.svg
   :target: `PyPI link`_

.. _PyPI link: https://pypi.org/project/wolframalpha

.. image:: https://dev.azure.com/jaraco/wolframalpha/_apis/build/status/jaraco.wolframalpha?branchName=master
   :target: https://dev.azure.com/jaraco/wolframalpha/_build/latest?definitionId=1&branchName=master

.. image:: https://img.shields.io/travis/jaraco/wolframalpha/master.svg
   :target: https://travis-ci.org/jaraco/wolframalpha

.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
   :target: https://github.com/psf/black
   :alt: Code style: Black

.. .. image:: https://img.shields.io/appveyor/ci/jaraco/wolframalpha/master.svg
..    :target: https://ci.appveyor.com/project/jaraco/wolframalpha/branch/master

.. image:: https://readthedocs.org/projects/wolframalpha/badge/?version=latest
   :target: https://wolframalpha.readthedocs.io/en/latest/?badge=latest

Python Client built against the `Wolfram|Alpha <http://wolframalpha.com>`_
v2.0 API.

Usage
=====

Basic usage is pretty simple. Create the client with your App ID (request from
Wolfram Alpha)::

    import wolframalpha
    client = wolframalpha.Client(app_id)

Then, you can send queries, which return Result objects::

    res = client.query('temperature in Washington, DC on October 3, 2012')

Result objects have `pods` (a Pod is an answer group from Wolfram Alpha)::

    for pod in res.pods:
        do_something_with(pod)

Pod objects have ``subpods`` (a Subpod is a specific response with the plaintext
reply and some additional info)::

    for pod in res.pods:
        for sub in pod.subpods:
            print(sub.text)

You may also query for simply the pods which have 'Result' titles or are
marked as 'primary' using ``Result.results``::

    print(next(res.results).text)

All objects returned are dictionary subclasses, so to find out which attributes
Wolfram|Alpha has supplied, simply invoke ``.keys()`` on the object.
Attributes formed from XML attributes can be accessed with or without their
"@" prefix (added by xmltodict).

For more information, read the source.
TOPSIS-Saurabh-Mittal-101853020 0.0.3
Topsis score and ranking

# TOPSIS

This is a program where in topsis score for different tables can be calculated along with their ranks.
## Installation

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

```bash
pip install topsis-saurabh-mittal-101853020
```

## How to run

This takes 4 arguments:
1. Data File
2. Weights
3. Impacts
4. Output File