What is NumPy - Hands-On Activity

What is NumPy

📖 Scenario: Imagine you want to work with numbers in your computer, like adding many numbers or finding averages. Doing this with just normal lists can be slow and tricky. NumPy is a tool that helps you work with numbers easily and fast.

🎯 Goal: You will create a simple list of numbers, then use NumPy to turn it into a special array. You will also see how to print this array to understand what NumPy does.

📋 What You'll Learn

Create a list of numbers

Import the NumPy library

Convert the list to a NumPy array

Print the NumPy array

💡 Why This Matters

🌍 Real World

NumPy is used in science, engineering, and data analysis to handle large sets of numbers quickly and easily.

💼 Career

Knowing NumPy is important for jobs in data science, machine learning, and any role that involves working with numbers and data.

1

Create a list of numbers

Create a list called numbers with these exact values: 10, 20, 30, 40, 50.

NumPy

# Create a list called numbers with values 10, 20, 30, 40, 50
# Your code here

Need a hint?

Use square brackets [] to create a list and separate numbers with commas.

2

Import the NumPy library

Import the NumPy library using the alias np.

NumPy

numbers = [10, 20, 30, 40, 50]
# Import NumPy as np
# Your code here

Need a hint?

Use the import keyword followed by numpy as np.

3

Convert the list to a NumPy array

Create a variable called array_numbers and set it to the NumPy array version of the numbers list using np.array().

NumPy

numbers = [10, 20, 30, 40, 50]
import numpy as np
# Convert numbers list to a NumPy array called array_numbers
# Your code here

Need a hint?

Use np.array() and pass the list numbers inside the parentheses.

4

Print the NumPy array

Print the variable array_numbers to see the NumPy array output.

NumPy

numbers = [10, 20, 30, 40, 50]
import numpy as np
array_numbers = np.array(numbers)
# Print the array_numbers variable
# Your code here

Need a hint?

Use the print() function to display the array.