np.random.rand() and random arrays in NumPy - Mini Project: Build & Apply

Generating Random Arrays with np.random.rand()

📖 Scenario: Imagine you are working on a simple simulation where you need random numbers to model some data points. You will learn how to create random arrays using np.random.rand() from the NumPy library.

🎯 Goal: Build a small program that creates a random array of numbers between 0 and 1 using np.random.rand(), then select a size variable to control the array length, and finally print the generated array.

📋 What You'll Learn

Import the NumPy library as np

Create a variable called size to set the length of the random array

Use np.random.rand() with the size variable to generate the random array

Print the generated random array

💡 Why This Matters

🌍 Real World

Random arrays are useful in simulations, testing algorithms, and creating sample data for experiments.

💼 Career

Data scientists often need to generate random data to test models or simulate scenarios before working with real data.

1

Import NumPy and create a random array

Write code to import the NumPy library as np and create a variable called random_array that stores a random array of 5 numbers using np.random.rand(5).

NumPy

# Import numpy as np and create random_array with 5 random numbers
# Your code here

Need a hint?

Use import numpy as np to import NumPy. Then use np.random.rand(5) to create an array of 5 random numbers.

2

Create a size variable for the array length

Create a variable called size and set it to 7. This will control the length of the random array you will generate next.

NumPy

import numpy as np
random_array = np.random.rand(5)
# Create a variable size and set it to 7
# Your code here

Need a hint?

Just write size = 7 to create the variable.

3

Generate a random array using the size variable

Use np.random.rand() with the variable size to create a new random array called random_array that has size number of elements.

NumPy

import numpy as np
random_array = np.random.rand(5)
size = 7
# Create random_array using np.random.rand(size)
# Your code here

Need a hint?

Use random_array = np.random.rand(size) to create the array with the length stored in size.

4

Print the generated random array

Write a print() statement to display the contents of the random_array.

NumPy

import numpy as np
size = 7
random_array = np.random.rand(size)
# Print the random_array
# Your code here

Need a hint?

Just write print(random_array) to show the array.