NFEM Teaching Tool

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

Installation

Install Anaconda, open the Anaconda console and execute the following command:

pip install nfem

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for luziusmoll from gravatar.com luziusmoll

Credits

Author: Thomas Oberbichler

License

MIT License (MIT)

Requires

Python >=3.7, <4.0

Classifiers

Report project as malware

Metadata

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for luziusmoll from gravatar.com luziusmoll

Credits

Author: Thomas Oberbichler

License

MIT License (MIT)

Requires

Python >=3.7, <4.0

Classifiers

Report project as malware

Release files for nfem 4.1.8

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for nfem 4.1.8
File Size Uploaded
nfem-4.1.8.tar.gz 247.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for nfem 4.1.8
File Interpreter ABI Platform
nfem-4.1.8-py3-none-any.whl 252.0 kB Python 3 none any Details

Total release size: 499.6 kB

Release files / nfem-4.1.8.tar.gz

Download URL nfem-4.1.8.tar.gz
Size 247.6 kB
Tags Source
SHA-256 checksum
How to use checksums 		44efec1fd8df10b4769ddee2828dd992297ad2a07b4b7245c5469937197d9bb9
BLAKE2b-256 checksum
How to use checksums 		de44748f350ea5038a159c9a274ab230925f3da996805cf2240bcaaa6d5ea949
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via poetry/1.1.13 CPython/3.9.12 Linux/5.13.0-1022-azure

Release files / nfem-4.1.8-py3-none-any.whl

Download URL nfem-4.1.8-py3-none-any.whl
Size 252.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums 		6d5189f6a9e524ac89c38165bba56c57bc9f866dff4dd1740166db94107a5ba8
BLAKE2b-256 checksum
How to use checksums 		a4af26827a338bec6a2f57435c46fc5a3444bbe5d5a70674edda2f041697eafb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via poetry/1.1.13 CPython/3.9.12 Linux/5.13.0-1022-azure

Release history Release notifications | RSS feed

This release

4.1.8 This release

2 release files

4.1.7

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4.1.6

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4.1.5

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4.1.4

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4.1.3

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