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What is best language for data science
in terms of handling large data set
5 ответов
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For huge data sets CERN's ROOT is used by high energy physicists though Python with numpy and pandas is getting nearly as good and certainly much easier to use. R is also excellent for statistical analysis.
In my field (nuclear physics) Fortran is still used, but more due to the large amount of very useful legacy codes that are available. C++ / Python / Java is far more common for new projects.
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FORTRAN is a good language if you're looking to handle large amounts of data, and it's written specifically for that purpose. This language isn't available on SoloLearn, but here are a couple of sources that you can use to learn it if you're interested;
http://www.fortrantutorial.com/
http://www.tutorialspoint.com/fortran/