Skip to main content

Calcalc module for hw3

Project description

The module is created for homework-3 of course AY250 (Python Computing for Data Science) by Fanhao Meng. The main job that CalCalc.py does is to calculate your input string locally or from WolframAlpha API.

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

hw3-CalCalc-fm-0.0.3.tar.gz (2.9 kB view details)

Uploaded Source

Built Distribution

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

hw3_CalCalc_fm-0.0.3-py3-none-any.whl (3.9 kB view details)

Uploaded Python 3

File details

Details for the file hw3-CalCalc-fm-0.0.3.tar.gz.

File metadata

  • Download URL: hw3-CalCalc-fm-0.0.3.tar.gz
  • Upload date:
  • Size: 2.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for hw3-CalCalc-fm-0.0.3.tar.gz
Algorithm Hash digest
SHA256 70e1e747746d2adfc7d6b602bbb75df737f60b358466c23cdb7e11afaf9404e2
MD5 2fbe82f737a484201c351f99caebce3f
BLAKE2b-256 a1e3e4ee57a7fc82457d6c1d443372fe5a7be9971dbbdba649fdc8d9ad2adbc7

See more details on using hashes here.

File details

Details for the file hw3_CalCalc_fm-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: hw3_CalCalc_fm-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 3.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for hw3_CalCalc_fm-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 2fb288d31b1adcedb6b02c494cadc8b002575155f66309f5efe4a3b6b8d2eff7
MD5 ac57ec50d96ba1d8ff70c6380076b280
BLAKE2b-256 9ba62fdcd3756bf90be59a9056acec8d2474b4dbd18a0f9671250c29dbc798ee

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