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 sympy pathos tqdm ptufile
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 Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file fepydas-0.0.83-py3-none-any.whl.
File metadata
- Download URL: fepydas-0.0.83-py3-none-any.whl
- Upload date:
- Size: 63.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.7.17
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9e7c081de7ad8c3fa7393a8abc9ac3ba160717fa15dfee0339a180b31420bb4c
|
|
| MD5 |
0d1fd1fe116a6fc6186b2e993766cbf1
|
|
| BLAKE2b-256 |
c4c86ba2e966c7e92c611f2d3ea6afa76ee885fdfd814456efc63fb56dcb9f30
|
