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Old 04 November 2019, 15:24   #24
chb
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Join Date: Dec 2014
Location: germany
Posts: 229
Python can be very fast language - in the sense that you're often able to write a program to solve your problem in considerably shorter time than it is possible in e.g. C++, thanks to the features of the language and a rich choice of powerful libraries especially for scientific applications.

So if it is "fast" for you depends on the ratio of time spend during programming vs. the execution time (real time applications etc. notwithstanding). I really like to use it for data evaluation (and libraries like Numpy o Pandas etc. aren't even particularly slow here), smaller one-off tasks that just need to be solved, interactive programming... or just for prototyping, to check if some algorithm is feasible for my problem before implementing it in some compiled language. And in that role it is very fast for me.
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