Integer random with integers() in NumPy - Mini Project: Build & Apply

Integer Random Numbers with numpy.integers()

📖 Scenario: You are working on a simple data science task where you need to generate random integer data for analysis. This is common when simulating data or testing algorithms.

🎯 Goal: Learn how to use numpy.random.Generator.integers() to create random integers within a specific range.

📋 What You'll Learn

Create a numpy random Generator instance

Generate random integers between 10 and 20

Generate exactly 5 random integers

Print the generated random integers

💡 Why This Matters

🌍 Real World

Generating random integers is useful in simulations, testing algorithms, and creating sample datasets.

💼 Career

Data scientists often need to create random data for experiments and model testing.

1

Create a numpy random Generator instance

Import numpy as np and create a random number generator instance called rng using np.random.default_rng().

NumPy

import numpy as np
# Create a random number generator instance called rng
# Your code here

Need a hint?

Use np.random.default_rng() to create the generator.

2

Set the range for random integers

Create two variables called low and high and set them to 10 and 20 respectively. These will define the range for the random integers.

NumPy

import numpy as np
rng = np.random.default_rng()
# Set low to 10 and high to 20
# Your code here

Need a hint?

Assign 10 to low and 20 to high.

3

Generate 5 random integers between low and high

Use the integers() method of rng to generate 5 random integers between low (inclusive) and high (exclusive). Store the result in a variable called random_numbers.

NumPy

import numpy as np
rng = np.random.default_rng()
low = 10
high = 20
# Generate 5 random integers between low and high and store in random_numbers
# Your code here

Need a hint?

Use rng.integers(low, high, size=5) to generate the numbers.

4

Print the generated random integers

Print the variable random_numbers to display the generated random integers.

NumPy

import numpy as np
rng = np.random.default_rng()
low = 10
high = 20
random_numbers = rng.integers(low, high, size=5)
# Print the random_numbers array
# Your code here

Need a hint?

Use print(random_numbers) to show the array.