Why Python is so Popular for Machine Learning

Really important: if you only know one language you are really limited specially if it is an interpreted languag as js or python are. But well at least they give jobs

Python, was the choice, because anything is better than C++ OR C family in general xD

Granted, Python was made using C anyway, and whatever you write to it, can be read by C, but it is still slow, however, with the grand picture into account, the goods outweighs the bad,

Could you give me contact number

Interesting video... but isn't PHP mostly written in C and C++ (under the hood) ?

video is quiet

When I started learning machine learning i started with octave and matlab... I also used R for some time... Then i switched to python... And i agree with you python is relatively easier to learn... And all the packages make our lives even easier in the world of machine learning...

C is no more difficult to learn than Python if you are only use the same constructs: if-then, while, variables, include (versus import), etc. and let the libraries (numpy, pandas, etc.) do the heavy lifting.

Python was designed as a teaching language, a language in search of an already solved problem in my professional opinion. Pascal and Modula have been around for decades; it was designed to be a first programming language in the context of teaching computer science. As Guido pushed for its use beyond a teaching language the more 'features' he added which resulted in inconsistencies in its design (imperative programming versus functional programming versus object-oriented programming). To say Python is a good language for data science is no more true than if numpy et. al. had wrappers for BASIC which, by the way, would be rather intriguing.