Metadata-Version: 2.1
Name: nfem
Version: 4.1.2
Summary: NFEM Teaching Tool
Home-page: https://github.com/StatikTUM/nfem
License: MIT
Author: Thomas Oberbichler
Author-email: thomas.oberbichler@tum.de
Requires-Python: >=3.7,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Provides-Extra: qt
Requires-Dist: importlib-metadata (>=4.11,<5.0); python_version < "3.8"
Requires-Dist: notebook (>=5.3,<6.0); python_version < "3.8"
Requires-Dist: notebook (>=6.4,<7.0); python_version >= "3.8"
Requires-Dist: numpy (>=1.20,<2.0); python_version < "3.10"
Requires-Dist: numpy (>=1.22,<2.0); python_version >= "3.10"
Requires-Dist: plotly (>=5.5.0,<6.0.0)
Requires-Dist: scipy (>=1.4,<2.0); python_version < "3.10"
Requires-Dist: scipy (>=1.7.2,<2.0.0); python_version >= "3.10" and python_version < "3.11"
Requires-Dist: typing-extensions (>=3,<4); python_version < "3.8"
Project-URL: Repository, https://github.com/StatikTUM/nfem
Description-Content-Type: text/markdown

# NFEM Teaching Tool

![PyPI](https://img.shields.io/pypi/v/nfem) ![PyPI - Downloads](https://img.shields.io/pypi/dm/nfem) [![Coverage Status](https://coveralls.io/repos/github/StatikTUM/nfem/badge.svg?branch=master&service=github)](https://coveralls.io/github/StatikTUM/nfem?branch=master) ![CI](https://github.com/StatikTUM/nfem/workflows/CI/badge.svg) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/StatikTUM/nfem/master?filepath=examples) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/StatikTUM/nfem/)

This is a lightweight python tool build for teaching non linear FEM analysis of 3D truss structures.

## Installation

Install [Anaconda](https://www.anaconda.com/distribution/), open the Anaconda console and execute the following command:

```shell
pip install nfem
```

