System design patterns
Sharding, load balancing, CAP tradeoffs, and scaling patterns — interview and production ready.
How to Build an MVP Presenter View Mock in Python
A minimal MVP (Model-View-Presenter) mock showing a Presenter controlling a SlideDeck model with slide navigation and typed state via dataclasses.
from dataclasses import dataclass, field
from typing import List
@dataclass
class SlideDeck:
title: str
slides: List[str] = field(default_factory=list)
current_index: int = 0
def next_slide(self) -> str:
if self.current_index < len(self.slides) - 1:
self.current_index += 1
…
How to Implement the Prototype Pattern with Deep Copy in Python
Implements the Prototype design pattern using copy.deepcopy to clone complex objects without sharing mutable state.
import copy
from dataclasses import dataclass, field
from typing import List
@dataclass
class Engine:
horsepower: int
@dataclass
class Car:
brand: str
engine: Engine
accessories: List[str] = field(default_factory=list)
def clone_prototype(car: Car) -> Car:
return copy.deepcopy(car)
if __name__ …
How to Take Periodic Snapshots of Aggregate State in Python
Build a Python class that accumulates values and periodically captures immutable snapshots of total, count, and average for later analysis.
import time
import random
from collections import defaultdict
class SnapshotAggregator:
def __init__(self):
self.total = 0
self.count = 0
self.history = []
def add(self, value):
self.total += value
self.count += 1
def snapshot(self):
avg = self.total / se…
Idempotent Consumer: Store Processed IDs in Python
Implement an idempotent consumer that persists processed message IDs to a JSON file, skipping duplicates on restart.
import json
from pathlib import Path
class IdempotentStore:
def __init__(self, storage_path: str = "processed_ids.json"):
self.storage_path = Path(storage_path)
self.processed_ids = self._load()
def _load(self) -> set:
if self.storage_path.exists():
with self.storage_path…
Observer Pattern with Mock Metrics in Python
Implement the Observer pattern with a mock metrics collector to track state changes and verify notifications.
import unittest
from unittest.mock import Mock
class Subject:
def __init__(self):
self._state = 0
self._observers = []
def attach(self, observer):
self._observers.append(observer)
def set_state(self, value):
if value != self._state:
self._state = value
…
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System design patterns — Python code examples
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