TOPSIS for MCDM Implementation of TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) for MCDM (Multiple Criteria Decision Making) in Python Done For UCS633 (Data Analytics & Visualisation) by Tarit Kandpal (101703583, 3CO13)
Release files for TaritTopsis 1.0.0
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| TaritTopsis-1.0.0.tar.gz | 1.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| TaritTopsis-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.0 kB
Release files / TaritTopsis-1.0.0.tar.gz
| Download URL | TaritTopsis-1.0.0.tar.gz |
|---|---|
| Size | 1.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.4.2 requests/2.21.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.28.1 CPython/3.6.7
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Release files / TaritTopsis-1.0.0-py3-none-any.whl
| Download URL | TaritTopsis-1.0.0-py3-none-any.whl |
|---|---|
| Size | 3.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.4.2 requests/2.21.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.28.1 CPython/3.6.7
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