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.

Vectorization

• 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.