Arrays vs Lists in Python || Homogeneous & Heterogeneous types || Numpy Array || Python Programming

When should you use arrays vs lists in python??

Python has various data structures such lists, dictionaries, tuples alongwith few additionals from libraries such as dataframe from pandas, arrays from numpy

NumPy is a python package for scientific computations. It is computationally efficient and consumes less memory as compared to lists. Numpy makes data processing faster for applications in machine learning

In this video we shall understand
00:00 - Introduction
01:05 - What are numpy arrays
01:35 - 1st difference between numpy arrays and lists
01:49 - understanding homogeneous vs heterogeneous
02:48 - 2nd difference between numpy arrays and lists

This is one of the primary questions as in machine learning #interviews using #python

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Additionally, here are few more useful resources for beginners and curious data enthusiasts

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