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Python Code Samples

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3 matches
Comprehensions & generators easy

How to Reset Python's Random Seed for Deterministic Output

This code shows how to seed Python's random module to generate identical random sequences across runs, ensuring reproducibility.

random seeding deterministic
Python
import random

def seeded_random_sequence(seed, count=5, low=1, high=100):
    random.seed(seed)
    return [random.randint(low, high) for _ in range(count)]

if __name__ == "__main__":
    seed_value = 42
    first_run = seeded_random_sequence(seed_value)
    print("First run:", first_run)

    # Reset seed and gener…
12 0 Open
Cloud + Python easy

Pick a Random Region with Mock Carbon Intensity in Python

Selects a random region from a list and generates a mock carbon intensity value using Python's random module.

random mock-data cloud
Python
import random

def pick_region_intensity(regions, seed=42):
    random.seed(seed)
    selected = random.choice(regions)
    intensity = random.randint(1, 10)
    return selected, intensity

if __name__ == "__main__":
    regions = ["North", "South", "East", "West"]
    selected, intensity = pick_region_intensity(regio…
14 0 Open
A/B testing & experimentation easy

Simulate a Ramp Rollout Percentage in Python

Simulates a percentage-based ramp rollout with deterministic seeding, returning success/failure/in-progress counts for a mock user population.

rollout simulation random
Python
import random
from enum import Enum

class RolloutStatus(Enum):
    SUCCESS = "success"
    FAILED = "failed"
    IN_PROGRESS = "in_progress"

def simulate_ramp_rollout(total_users: int, percentage: int, seed: int = 42) -> dict:
    """
    Simulates a mock ramp rollout for a given percentage of users.
    Returns sta…
14 0 Open

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Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.