Data Science Mastery Series: Python for Data Science

Module 3, Lesson 1 : Hands On Exercise - NumPy

In this practice exercise you need to work on the examples applying the various Numpy concepts learned. This practice will familiarize you with Numpy and its methods.

1.    Generate a List of even numbers between 1 and 50

• Hint: Use range function, print the values.

2.   Print 10 elements starting from 5^th element

• Hint: Use Slicing

3.   Create a Numpy Array from above list

4.   Using the above numpy array values, create a two-dimensional numpy array with elements containing only multiple of 5s with following structure:

• Row 1  : [5, 15, 25, 35, 45]
• Row 2 : [10, 20, 30, 40, 50]]

Hint: Use Slicing concept based on Condition.

5.   Print properties of this resultant array of multiples of 5:

• Number of dimensions
• Number of rows and columns
• Data type of members

Hint: Use Slicing concept based on Condition

6.   Create another two dimensional Numpy Array with multiples of 5 between 100 and 150. Structure to be similar to step $.

• Row 1  : [105, 115, 125, 135, 145]
• Row 2 : [110, 120, 130, 140, 150]]

7.   Perform the following:

• Add elements of the array
• Stack the elements of the array row wise Hint use vstack
• Stack the elements of the array col wise Hint use hstack