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numpy-exercises

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Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.

  • Updated Dec 9, 2022
  • Jupyter Notebook

It includes the basic and advance numpy array manipulations. The topics like indexing, slicing, fast element array-wise functions, mathematical and statistical methods, filing, linear algebra functions, pseudo-random numbers, reshaping, splitting, concatenating,tiles, repeating, where( ) function & numpy advanced array manipulation are implemented.

  • Updated May 28, 2021
  • Jupyter Notebook

NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and random number capabilities

  • Updated Jan 22, 2024
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