Reproducible Data Analysis
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.
MATLAB® has long been a prime choice for writing software for scientific data analysis. It features a very simple to use GUI, simple syntax, and excellent support for all kinds of data processing. However, it is not a general-purpose language and quite expensive.
A note on the logos: The copyright of the Python logo belongs to the Python Software Foundation (PSF), that of the MATLAB® logo to The Mathworks, Inc. Both logos appear here only to highlight the programming languages used. The copyright of the logos for the Python ASpecD, LabInform, cwepr, trepr, UVVisPy, FitPy, and SpinPy packages as well as for “Reproducible Research” belongs to Jara Popp.
https://www.epr-21.de/ • https://www.trepr.de/ • https://www.cwepr.de/ • https://www.uvvispy.de/
https://www.eprfit.de/ • https://www.spinpy.de/ • https://www.fitpy.de/
https://www.orgphot.de/ • https://www.cryptochrom.de/