sigmaepsilon.solid.fem 1.0.5
Finite Element Method for Solid Structures in Python.
License: MIT
Requires Python: >=3.10,<3.12
Keywords: engineering,fea,fem,finite element method,mechanics,solid mechanics,optimization,structural analysis,structural engineering,structural optimization,structural simulation,structural design,structural engineering,Python,Python3,Python 3,Python3.10,Python 3.10,Python3.x,Python 3.x

# **SigmaEpsilon.Solid** - High-Performance Computational Solid Mechanics in Python

[![CircleCI](https://circleci.com/gh/dewloosh/SigmaEpsilon.svg?style=shield)](https://circleci.com/gh/dewloosh/SigmaEpsilon)
[![Documentation Status](https://readthedocs.org/projects/sigmaepsilon/badge/?version=latest)](https://sigmaepsilon.readthedocs.io/en/latest/?badge=latest)
[![License](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![PyPI](https://badge.fury.io/py/sigmaepsilon.svg)](https://pypi.org/project/sigmaepsilon)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Poetry](https://img.shields.io/endpoint?url=https://python-poetry.org/badge/v0.json)](https://python-poetry.org/)

> **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!

## Installation

sigmaepsilon.solid can be installed from PyPI using `pip` on Python >= 3.7:

```console
>>> pip install sigmaepsilon.solid.fem
```

or chechkout with the following command using GitHub CLI

```console
gh repo clone sigma-epsilon/sigmaepsilon.solid.fem
```

and install from source by typing

```console
>>> pip install .
```

If you want to run the tests, you can install the package along with the necessary optional dependencies like this

```console
>>> pip install ".[test]"
```

## **Documentation**

Refer to the [docs](https://sigmaepsilon.readthedocs.io/en/latest/) 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

```console
>>> python -m unittest
```

## **Dependencies**

We use Numba's JIT compiler to speed up heavy computations, and it relies on the C++ redistributable package. It is likely already installed on your system, but if it is not, you can download it from Microsoft's website under "Other Tools, Frameworks, and Redistributables".

must have

* `Numba`, `NumPy`, `SciPy`, `SymPy`, `awkward`

strongly suggested

* `PyVista`, `Plotly`, `matplotlib`, `sectionproperties`

optional

* `networkx`

## **License**

SigmaEpsilon.Solid is Copyright(C) 2022: Bence Balogh

All rights reserved.

This program is dual-licensed as follows:

(1) You may use SigmaEpsilon as free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version.

In this case the program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License at <http://www.gnu.org/licenses/gpl.txt> or in the LICENSE file of this repository for more details.

(2) You may use SigmaEpsilon as part of a commercial software. In this case a proper agreement must be reached with the Authors based on a proper licensing contract.