Skip to main content

Package for calculating 2-D integral and finite element numerical solutions for Poisson equation with non-overlapping shapes in the presence of Superconducting materials. Added support for triangle package.

Project description

What is SuperPyLib?

SuperPyLib is a Python package for calculating 2-D integral and finite element numerical solutions for Poisson equation with non-overlapping shapes in the presence of Superconducting materials. Added support for triangle package.

Dependencies:

Python 3.8+, Numpy 1.23.1, Joblib 1.1.0, Matplotlib 3.5.2, Shapely 1.8.4, Triangle 20220202 and Scipy 1.8.1

Version:

SuperPyLib 0.0.6

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

superpylib-0.0.6.tar.gz (15.6 kB view details)

Uploaded Source

Built Distribution

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

superpylib-0.0.6-py3-none-any.whl (22.1 kB view details)

Uploaded Python 3

File details

Details for the file superpylib-0.0.6.tar.gz.

File metadata

  • Download URL: superpylib-0.0.6.tar.gz
  • Upload date:
  • Size: 15.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for superpylib-0.0.6.tar.gz
Algorithm Hash digest
SHA256 d865f555aa0efe0e6576ece0959b555a168908182d86f54fe5bd3e9744916092
MD5 4a76e6f5d4cae31b68e2a71656fbb17e
BLAKE2b-256 f91d27209a21f1b1f3d8befb229c94838df947354c9e7ce0c56b0b1fc4cd8342

See more details on using hashes here.

File details

Details for the file superpylib-0.0.6-py3-none-any.whl.

File metadata

  • Download URL: superpylib-0.0.6-py3-none-any.whl
  • Upload date:
  • Size: 22.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for superpylib-0.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 cdc6dbec35d3ea6ca1d7e699b11a0a134442cdddd49a3c7f3db01ebd4e8642a7
MD5 759f66ea6b65646b4b06d70ab2c50f88
BLAKE2b-256 ddf75c3e4eb523737e6a18680b7c55a2c5a338b7c295c193c743b544a01a6e42

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