felix' python data analysis suite
Project description
A python3 tool for data analysis and fitting.
Install from https://pypi.org/project/fepydas/ with "pip install fepydas". View repository at https://git.tu-berlin.de/nippert/fepydas Find usage examples at https://git.tu-berlin.de/nippert/fepydas/-/tree/master/examples
Requirements: Python3 numpy scipy matplotlib lmfit scikit-learn pyamg
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
fepydas-0.0.30.tar.gz
(26.5 kB
view details)
Built Distribution
fepydas-0.0.30-py3-none-any.whl
(30.6 kB
view details)
File details
Details for the file fepydas-0.0.30.tar.gz.
File metadata
- Download URL: fepydas-0.0.30.tar.gz
- Upload date:
- Size: 26.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 93c3aa792c730a011ec8f18a0b6f64dcc5c554855aa1158b6c5434f2cc0f2aaf |
|
| MD5 | 483882cd32e35f068d400cf45f989955 |
|
| BLAKE2b-256 | 86f95961144cfcaf7e31e91f06fd9093de52a4c56ef6a8bfbbc9425f34181ea4 |
File details
Details for the file fepydas-0.0.30-py3-none-any.whl.
File metadata
- Download URL: fepydas-0.0.30-py3-none-any.whl
- Upload date:
- Size: 30.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 186eda44ead81632aaa97159d2d8dd0de2576f8f75ae57d9480d9c2b6beabc45 |
|
| MD5 | eb8bb59734a65da96997fd572f0025a0 |
|
| BLAKE2b-256 | 4c4f716448ae7067b0d613ed406c053a89232f3fba1fca7389188b224fa96186 |
