Skip to main content

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

Project details


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

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fepydas-0.0.81-py3-none-any.whl (58.2 kB view details)

Uploaded Python 3

File details

Details for the file fepydas-0.0.81-py3-none-any.whl.

File metadata

  • Download URL: fepydas-0.0.81-py3-none-any.whl
  • Upload date:
  • Size: 58.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.17

File hashes

Hashes for fepydas-0.0.81-py3-none-any.whl
Algorithm Hash digest
SHA256 b4f0ae3bfa75f4f6bd2df1553e8fb67565bf7d0f9f13c529f463580fb0410cee
MD5 9fbf4ccb2df48a5361df435ac29963f8
BLAKE2b-256 1e0686df8d41fa29297ff17cbf2c4983b5efb439ef909330f7b7aef5b69a606c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page