np.random.default_rng() modern approach in NumPy - Mini Project: Build & Apply

Using np.random.default_rng() to Generate Random Numbers

📖 Scenario: Imagine you are a data scientist who needs to generate random numbers for a simulation. Using the modern np.random.default_rng() method helps you create random numbers in a simple and reliable way.

🎯 Goal: You will create a random number generator, set a seed for reproducibility, generate a list of random integers, and then print the list.

📋 What You'll Learn

Create a random number generator using np.random.default_rng()

Set the seed to 123 for reproducibility

Generate 5 random integers between 10 and 50 (inclusive)

Print the list of generated random integers

💡 Why This Matters

🌍 Real World

Random number generation is used in simulations, games, and testing to create unpredictable but reproducible data.

💼 Career

Data scientists and analysts use random number generators to create sample data, run simulations, and test models.

1

Create a random number generator

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

NumPy

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

Need a hint?

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

2

Set the seed for reproducibility

Create a random number generator called rng with the seed 123 using np.random.default_rng(123).

NumPy

import numpy as np
# Create rng with seed 123
# Your code here

Need a hint?

Pass the seed 123 as an argument to default_rng().

3

Generate 5 random integers between 10 and 50

Use the rng.integers() method to generate 5 random integers between 10 (inclusive) and 51 (exclusive) and store them in a variable called random_numbers.

NumPy

import numpy as np
rng = np.random.default_rng(123)
# Generate 5 random integers between 10 and 50
# Your code here

Need a hint?

Use rng.integers(10, 51, size=5) to get 5 integers from 10 to 50.

4

Print the list of random integers

Print the variable random_numbers to display the generated random integers.

NumPy

import numpy as np
rng = np.random.default_rng(123)
random_numbers = rng.integers(10, 51, size=5)
# Print the random_numbers
# Your code here

Need a hint?

Use print(random_numbers) to show the numbers.