sigmaepsilon 0.0.1rc0

High-Performance Computational Mechanics in Python.

SigmaEpsilon - High-Performance Computational Mechanics in Python

Warning This package is under active development and in an alpha stage. Come back later, or star the repo to make sure you don’t miss the first stable release!

Highlights

Head over to the Quick Examples page in the docs to explore our gallery of examples showcasing what SigmaEpsilon can do! Want to test-drive SigmaEpsilon? All of the examples from the gallery are live on MyBinder for you to test drive without installing anything locally: Launch on Binder.

Overview

• A solid submodule to analyze and optimize solid structures of all kinds with the Finite Element Method. The implementations so far only cover linear behaviour, but with practically no limits on the complexity of the shape and topology of the domain under investigation.

Installation

This is optional, but we suggest you to create a dedicated virtual enviroment at all times to avoid conflicts with your other projects. Create a folder, open a command shell in that folder and use the following command

>>> python -m venv venv_name

Once the enviroment is created, activate it via typing

>>> .\venv_name\Scripts\activate

sigmaepsilon can be installed (either in a virtual enviroment or globally) from PyPI using pip on Python >= 3.6:

>>> pip install sigmaepsilon

Documentation

Refer to the docs for further details on installation and usage.

Testing

To run all tests, open up a console in the root directory of the project and type the following

>>> python -m unittest

Dependencies

must have

• Numba, NumPy, SciPy, SymPy, awkward

stringly suggested

• PyVista, Plotly, matplotlib, sectionproperties

optional

• networkx

License

This package is licensed under the MIT license.