Random data generation in Python - Practice Problems & Coding Challenges

Challenge - 5 Problems

❓ Predict Output

intermediate

Output of random integer generation

What is the output of this code snippet?

Python

import random
random.seed(10)
print(random.randint(1, 10))

A 5

B 7

C 1

D 10

💡 Hint

The seed fixes the random number sequence.

With seed 10, random.randint(1, 10) returns 7.

❓ Predict Output

intermediate

Output of random choice from list

What is the output of this code snippet?

Python

import random
random.seed(3)
colors = ['red', 'green', 'blue']
print(random.choice(colors))

A red

B blue

C green

D IndexError

💡 Hint

Seed controls the choice result.

With seed 3, random.choice picks 'red' from the list.

❓ Predict Output

advanced

Output of random.sample with repeated elements

What is the output of this code snippet?

Python

import random
random.seed(1)
items = [1, 2, 2, 3, 4]
sample = random.sample(items, 3)
print(sample)

A ValueError

B [2, 1, 4]

C [2, 3, 4]

D [1, 2, 3]

💡 Hint

random.sample picks unique indices, not unique values.

random.sample picks 3 unique elements by index; duplicates in list are allowed.

❓ Predict Output

advanced

Output of random.choices with weights

What is the output of this code snippet?

Python

import random
random.seed(0)
items = ['a', 'b', 'c']
weights = [10, 1, 1]
result = random.choices(items, weights=weights, k=5)
print(result)

A ['a', 'a', 'b', 'a', 'a']

B ['a', 'a', 'a', 'a', 'a']

C ['b', 'a', 'a', 'c', 'a']

D TypeError

💡 Hint

Weights influence probability but do not guarantee all same picks.

With seed 0 and weights, random.choices returns ['a', 'a', 'b', 'a', 'a'].

🧠 Conceptual

expert

Effect of random.seed on random.random() sequence

Which option correctly describes the output of this code snippet?

Python

import random
random.seed(42)
values = [round(random.random(), 3) for _ in range(4)]
print(values)

A [0.639, 0.025, 0.275, 0.736]

B [0.639, 0.025, 0.275, 0.223, 0.736]

C [0.639, 0.025, 0.275, 0.223]

D TypeError

💡 Hint

random.seed fixes the sequence of random.random() calls.

With seed 42, the first four random.random() rounded to 3 decimals are [0.639, 0.025, 0.275, 0.223].