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How to Implement a Data Helper Class in Python
Build a beginner-friendly DataHelper class using dataclasses and key system design patterns like Command, Strategy, and Map.
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional
@dataclass
class DataHelper:
"""A beginner-friendly data utility with common system design patterns."""
data: List[Dict[str, Any]] = field(default_factory=list)
def add_record(self, r…
How to Mock the Ambassador Pattern Retry Client in Python
This code demonstrates the ambassador pattern for API clients by simulating a flaky request and retrying with exponential backoff, useful for testing resilience in system design.
import time
import random
class RetryingClient:
"""Retry wrapper simulating a flaky ambassador-style API client."""
def __init__(self, max_attempts=3, base_delay=0.1):
self.max_attempts = max_attempts
self.base_delay = base_delay
self.attempts = 0
def _flaky_request(self):
…
Simulate a Leaky Bucket Rate Limiter in Python
This code implements a leaky bucket rate limiter that drains at a fixed rate and accepts or rejects incoming requests based on capacity.
import time
from collections import deque
class LeakyBucket:
"""Simulates a leaky bucket rate limiter with a fixed drain rate."""
def __init__(self, capacity, drain_rate_per_sec):
self.capacity = capacity
self.drain_rate = drain_rate_per_sec
self.water = 0.0
self.last_refill =…
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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.