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In coming several posts I will talk about the numpay library and how to use some of its functions. So first what is numpy? Definition: NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. Also known as powerful package for scientific computing and data manipulation in python. As any library or package in python we need to install it on our device (we will not go through this process)

Basic commands in numpy: First of all we need to import it in our code. so we will use

  import numpy as np

To create a 1 dimensional array we can use verey easy way as:

  # create an array using numpy array function.
my_array = np.array([1, 2, 3,4,5])

Later we will create a random array of numbers in a range.

Now, to get the length of the array we can use len command as

len(my_array)
Output: 5

To get the sum of all elements in the array we use..

np.sum(my_array)

And to get the maximum and minimum numbers in the array we use ..

 # Get the maximum and minimum numbers in the array
my_array = np.array([1, 2, 3,4,5])
np.max(my_array)
[Output]: 5 

np.min(my_array)
[Output]: 1