Skip to main content

A custom Python library for symptom analysis

Project description

Symptom Analysis Library

Created for the purpose of ease extraction and use of the library for the purpose of project

##Features include processing data efficiently. Analyses the data with given symptom data.

How to Install

pip install symptom_analysis

view at:
    https://pypi.org/project/symptom-analysis/1.0.0/
    https://test.pypi.org/project/symptom-analysis/1.0.0/
    
Date: 13-03
previous version of python library had less symptoms. 
New library has a set of known symptoms to check

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

symptom_analysis-1.0.1.tar.gz (4.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

symptom_analysis-1.0.1-py3-none-any.whl (4.9 kB view details)

Uploaded Python 3

File details

Details for the file symptom_analysis-1.0.1.tar.gz.

File metadata

  • Download URL: symptom_analysis-1.0.1.tar.gz
  • Upload date:
  • Size: 4.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.20

File hashes

Hashes for symptom_analysis-1.0.1.tar.gz
Algorithm Hash digest
SHA256 fe8c6d8567e19a7563144f2699a66e3c7d0564ec9cf0a1755db7053faf30d0b5
MD5 6379800b749e52695cb427403b53f82b
BLAKE2b-256 2a5ffa71dd1aee923f8ec5a46c5e3bb80539a801f3b3dd27a30e5106cb5005cc

See more details on using hashes here.

File details

Details for the file symptom_analysis-1.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for symptom_analysis-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 09f7ffd36414954cbdc117156035d2c7d9ef3cbb6fbe245fa42b680a07f02e51
MD5 4cfc4150a928594aaae8d707226aa5e6
BLAKE2b-256 de5026e9927f751a568764172b5064d9dd468bff08bdd2310eee5b25fa95f58b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page