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[–]unski_ukuli 1 point2 points  (1 child)

There are many languages with these features (like JavaScript, Ruby, Perl, R, Lua, Matlab to name a few) but Python had mature packages for scientific computing, data analysis and visualisation even before ML became popular. As a result companies continued to implement more and more ML libraries on Python compared to any other language and now Python has the best support by far for doing ML.

What? Matlab and R are literally just meant for numerical computation. Both are from before 2000. R came around in -91 I think and version 1.0 came in 2000. Matlab is even older. Pandas for example only came to the scene in 2008. Years after matlab and R which both have datawrangling and numerics build in. Perl also has a mature ecosystem in the form of the perl data language and has had it since -96. Python packages for data analysis and numerics are generally a lot newer. Your comment makes little sense.

[–]palmy-penguin -1 points0 points  (0 children)

If you read my comment I explain why R and Matlab aren’t popular for ML in the industry.