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Why is NumPy preferred over Matlab, Octave, Idl or Yorick?

Answer»

NumPy is an open-source, high-performing library that allows complex mathematical and scientific computational capabilities. It makes use of Python language which is a high-level, easy-to-learn, general-purpose programming language. It supports the following:


  • Powerful functions for performing complex mathematical operations on multi-dimensional matrices and arrays. The operations on ndarrays of NumPy are approximately up to 50% faster when compared to operations on native lists using loops. This efficiency is very much useful when the arrays have millions of elements.

  • Provides indexing syntax to access portions of data easily in a large array.

  • Provides built-in functions which help to easily perform operations related to linear algebra and statistics.

  • It takes only a few lines of code to achieve complex computations using NumPy.


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