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

Uniform random numbers with numpy.random.random()

📖 Scenario: Imagine you are helping a game developer create random positions for objects in a 2D game world. The positions should be random numbers between 0 and 1, representing coordinates inside the game screen.

🎯 Goal: You will create a list of random numbers using numpy.random.random() to simulate these random positions.

📋 What You'll Learn

Use numpy to generate random numbers

Create an array of 5 random numbers between 0 and 1

Store the random numbers in a variable called positions

Print the positions array

💡 Why This Matters

🌍 Real World

Random numbers are used in games, simulations, and data sampling to create unpredictable results.

💼 Career

Data scientists often generate random samples to test models or simulate data.

1

Import numpy and create an empty array

Import the numpy library as np. Then create an empty variable called positions and set it to None.

NumPy

import numpy as np
positions = None
# Your code here

Need a hint?

Use import numpy as np to import numpy. Initialize positions with None for now.

2

Generate 5 uniform random numbers

Use np.random.random() with the argument 5 to generate an array of 5 random numbers between 0 and 1. Assign this array to the variable positions.

NumPy

import numpy as np
positions = None
# Generate 5 random numbers between 0 and 1 and assign to positions

Need a hint?

Call np.random.random(5) to get 5 random floats between 0 and 1.

3

Check the type and shape of positions

Use type(positions) and positions.shape to check the type and shape of the positions array. Store the type in a variable called pos_type and the shape in a variable called pos_shape.

NumPy

import numpy as np
positions = np.random.random(5)
# Store the type of positions in pos_type
# Store the shape of positions in pos_shape

Need a hint?

Use type(positions) and positions.shape to get the type and shape.

4

Print the positions array

Print the positions array to see the 5 random numbers.

NumPy

import numpy as np
positions = np.random.random(5)
pos_type = type(positions)
pos_shape = positions.shape
# Print the positions array

Need a hint?

Use print(positions) to display the array.