Python

Packages for reproducible data analysis and research

	PyPI	https://pypi.org/user/till.biskup/

Python is an excellent choice if it comes to writing software for scientific data analysis. With its comparably simple syntax it is easy to learn yet powerful. The scientific software stack (SciPy) is well developed, and perhaps the best: Python is free software.

ASpecD

Python framework for reproducible data analysis

LabInform

Infrastructure for reproducible research

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trepr

Python package for trEPR data (ASpecD based)

cwepr

Python package for cwEPR data (ASpecD based)

UVVisPy

Python package for UVVis data (ASpecD based)

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SpinPy

Python package for simulating EPR spectra

FitPy

Python package for fitting spectroscopic data

A note on the logos: The copyright of the Python logo belongs to the Python Software Foundation (PSF). The copyright of the logos for the Python ASpecD, LabInform, cwepr, trepr, UVVisPy, FitPy, and SpinPy packages belongs to Jara Popp.