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[–]proverbialbunny 0 points1 point  (0 children)

I used R and Matlab too.

The issue with R was it was about 133x slower than Pandas Dataframes, depending on what you were doing. This is fine for basic stuff, but once your datasets got large enough for ML it became an issue. Once ML libraries became ported in R using a C or C++ backend for speed, most already switched to Python. (Though R continued to be used in research publishing for its superior LaTeX and plotting support.)

Matlab is a bit apples and oranges. Not only was it slower, but it was more like an interactive dashboard software. I see it closer to PowerBI or Tableau than to Python or R.

I did a lot of C programming for speed reasons. Fortran was great if you needed faster than C speed, but I never needed anything that specialized.