I have started working on secondary datasets (e.g. consumer panel data) and was wondering which of these programs is more effective in terms of coding and analyzing secondary data. Any thoughts?
Dear Achilleas Boukis ,
I strongly recommend Python .
Python is an interpreted, high-level and general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and object-orientedapproach aim to help programmers write clear, logical code for small and large-scale projects.
https://en.wikipedia.org/wiki/Python_(programming_language)
Regards,
Shafagat
I recomend python as the compilation speed is comparatively high. When using a secondary data the issue lies with the speed of response/outcome which is extremely good if we make use of python. Secondly python is an open sourse coding environment.
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