DataScience Classroomnotes 22/Mar/2022

Numpy (contd..)

  • Refer Here for quick review.
  • We use Numpy arrays over lists because they are faster and consume less resources compared to pure python lists.


  • In the broadest sense the term Vectorization in computer science denotes the process of applying mathematical operation to an array (in general sense) element by element.
  • Vectorization is done by default when an applicable operation is performed on Numpy array. This includes
    • additions
    • subtractions
    • multiplications
    • divisons
    • power
    • modulus
    • absolute values
    • square root
    • trignometric functions
    • logarthamic functions
    • exponential functions
  • Refer Here for the python notebook.

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