TOPSIS-in-Python

Implementation of TOPSIS(Technique for Order of Preference by Similarity to Ideal Solution) in Python Done For UCS633 (Data Analytics & Visualisation) by Pulkit Gupta (101703408)

Release files for topsis-Algorithm 2.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for topsis-Algorithm 2.0.0
File	Size	Uploaded
topsis-Algorithm-2.0.0.tar.gz	2.3 kB	Jan 19, 2020	Details

Built distribution (wheel)

Table of built distributions (wheels) for topsis-Algorithm 2.0.0
File	Interpreter	ABI	Platform	Reset
topsis_Algorithm-2.0.0-py3-none-any.whl 2.7 kB Jan 19, 2020	Python 3	none	any	Details

Total release size: 5.0 kB

Release files / topsis-Algorithm-2.0.0.tar.gz

Download URL	topsis-Algorithm-2.0.0.tar.gz
Size	2.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`f1f79c9d48617d7e44fe43ce8fbe5a0e5c16ce11d8308c766c38241822134791`
BLAKE2b-256 checksum How to use checksums	`e8a38af5f41228cce1feec43613c3d3d919c32ff880c1a14d0bf6c8c13eab801`
Upload date	Jan 19, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3`

Release files / topsis_Algorithm-2.0.0-py3-none-any.whl

Download URL	topsis_Algorithm-2.0.0-py3-none-any.whl
Size	2.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`2a9d16cd7f19bf74ae252ec4dd33a49fe0f75ec8e30abf37c27dfceadadfc0a3`
BLAKE2b-256 checksum How to use checksums	`652e4eb8c3a6af2dc598cfd17d175abd8fbb52d2199ecc9ef9016addfe9f0ec0`
Upload date	Jan 19, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3`