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Python Code Samples

Easy snippets you can copy, study, and run in the browser editor.

48 matches
Cloud + Python easy

How to Calculate VPC Subnet CIDR Details in Python

Compute network address, broadcast address, address count, prefix length, and netmask for any IPv4 CIDR using the Python standard library's ipaddress module.

ipaddress cidr vpc
Python
import ipaddress


def subnet_details(cidr: str) -> dict:
    network = ipaddress.ip_network(cidr, strict=False)
    return {
        "network_address": str(network.network_address),
        "broadcast_address": str(network.broadcast_address),
        "num_addresses": network.num_addresses,
        "prefix_length": ne…
11 0 Open
Cloud + Python easy

How to Mock ELB Target Health Status in Python

Simulate AWS Elastic Load Balancer target health checks with a Python dict that mutates status and healthy host counts.

elb mock healthcheck
Python
from random import randint

def elb_target_mock_status(target_id, healthy=True):
    targets = {
        1: {"Id": "i-001", "Status": "healthy", "Port": 80, "HealthyHostCount": 1},
        2: {"Id": "i-002", "Status": "unhealthy", "Port": 80, "HealthyHostCount": 0},
        3: {"Id": "i-003", "Status": "healthy", "Por…
13 0 Open
Modern tooling easy

How to Mock a Fast uv pip sync in Python

Simulate a fast uv pip sync by mocking file operations and subprocess calls to test dependency installation workflows.

uv mocking pip
Python
import os
import shutil
import subprocess
import sys
import tempfile
from pathlib import Path

def uv_pip_sync_fast_install_mock(requirements_text: str) -> dict:
    """Simulate a fast uv pip sync by mocking file operations and subprocess calls."""
    mock_dir = Path(tempfile.mkdtemp(prefix="uv_mock_"))
    req_lines…
14 0 Open
Modern tooling easy

pytest mark slow skip integration

Uses pytest markers to select fast tests, skip unfinished ones, and run integration checks with verbose output.

pytest markers testing
Python
import pytest

def test_fast():
    assert 1 + 1 == 2

@pytest.mark.slow
def test_slow():
    import time
    time.sleep(1)
    assert 5 * 5 == 25

@pytest.mark.skip(reason="Not ready for production")
def test_skipped():
    assert 2 + 2 == 5

@pytest.mark.integration
def test_integration():
    database = {"users": […
17 0 Open
Concurrency & performance easy

How to Use uvloop Faster Event Loop

Install uvloop at startup to replace asyncio's default event loop with a faster libuv-based one, with a graceful fallback when it's unavailable.

uvloop asyncio event-loop
Python
import asyncio
try:
    import uvloop
    uvloop.install()
    USING_UVLOOP = True
except ImportError:
    USING_UVLOOP = False


async def fetch_data(index):
    await asyncio.sleep(0.01)
    return f"data-{index}"


async def main():
    tasks = [fetch_data(i) for i in range(10)]
    results = await asyncio.gather(*…
14 0 Open
Testing & modern typing easy

How to Write a Fast Smoke Test for a Critical Path in Python

A quick smoke test that validates the /health critical path executes fast enough, raising errors on wrong paths or slow responses.

smoke-test performance health-check
Python
import time

def smoke_test(path):
    if path != "/health":
        raise ValueError("Critical path expected /health")
    start = time.perf_counter()
    # Simulate the critical health check work
    time.sleep(0.01)
    elapsed = time.perf_counter() - start
    if elapsed > 0.05:
        raise RuntimeError("Health …
12 0 Open
System design patterns easy

How to mock the domain center in an onion architecture in Python

Define a repository interface and an in-memory mock to test domain services without touching infrastructure.

onion-architecture repository-pattern dependency-injection
Python
from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import Dict, List, Optional


@dataclass
class Order:
    id: int
    customer: str
    items: List[str]
    total: float


class OrderRepository(ABC):
    @abstractmethod
    def find_by_id(self, order_id: int) -> Optional[Order]:
     …
11 0 Open
Streaming & messaging easy

Dedupe processed message IDs in Python

Filters an inbox of messages by removing items whose IDs have already been processed, using a set for fast lookups.

deduplication streaming json
Python
from pathlib import Path
import json


def dedupe_processed_ids(inbox_file: Path, processed_file: Path) -> list:
    processed = set(json.loads(processed_file.read_text()))
    inbox = json.loads(inbox_file.read_text())
    deduped = [item for item in inbox if item["id"] not in processed]
    return deduped


if __nam…
13 0 Open
Streaming & messaging easy

How to Implement Publish-Subscribe Fanout with Multiple Subscribers in Python

Create a simple publish-subscribe system in Python that broadcasts messages to multiple subscriber callbacks for a given topic.

pubsub messaging events
Python
import time

class PubSub:
    def __init__(self):
        self.subscribers = {}

    def subscribe(self, topic, callback):
        if topic not in self.subscribers:
            self.subscribers[topic] = []
        self.subscribers[topic].append(callback)

    def publish(self, topic, message):
        if topic in sel…
14 0 Open
Streaming & messaging easy

How to Implement an In-Memory Pub/Sub System in Python

This code implements a simple in-memory publish/subscribe system in Python, allowing topics, callbacks, and message broadcasting.

pubsub event-driven design-pattern
Python
class PubSub:
    def __init__(self):
        self.topics = {}

    def subscribe(self, topic, callback):
        if topic not in self.topics:
            self.topics[topic] = []
        self.topics[topic].append(callback)
        return lambda: self.unsubscribe(topic, callback)

    def unsubscribe(self, topic, callb…
18 0 Open
Reliability & rate limiting easy

How to Deduplicate Messages in Python by ID

This code consumes a mock inbox of JSON messages and deduplicates them by message ID, keeping either the first or last occurrence.

deduplication inbox json
Python
import json
from collections import OrderedDict

mock_inbox = [
    {"id": 1, "message": "hello", "timestamp": "2024-01-01T10:00:00Z"},
    {"id": 2, "message": "world", "timestamp": "2024-01-01T10:01:00Z"},
    {"id": 1, "message": "hello", "timestamp": "2024-01-01T10:00:00Z"},
    {"id": 3, "message": "test", "times…
15 0 Open
Reliability & rate limiting easy

Implementing Fallback with Cached Stale Data in Python

This code demonstrates a resilient data-fetching pattern that caches successful responses, falls back to cached data when the external API fails, and returns stale data as a last-resort fallback.

cache fallback resilience
Python
import random
import time

# Simulated cache dictionary: key -> (value, timestamp)
_cache = {}
_CACHE_TTL = 3  # seconds

# Mock data source (simulates an unreliable external API)
def fetch_mock_data(key):
    failure = random.random() < 0.4  # 40% chance of failure
    if failure:
        raise ConnectionError("Mock …
14 0 Open
Microservices patterns easy

How to Mock a Server-Side Load Balancer in Python

A simple Python class that mimics a server-side load balancer with round-robin, random, and least-connections selection strategies.

load-balancer microservices simulation
Python
import itertools
import random

class LoadBalancer:
    def __init__(self, servers=None):
        self.servers = servers if servers else ["server1", "server2", "server3"]
        self.counter = itertools.count(1)

    def round_robin(self):
        return next(self.counter) % len(self.servers)

    def random_selectio…
13 0 Open
Big data & Spark easy

How to Broadcast a Small Lookup Table in Python

Simulates broadcasting a small lookup table by iterating key-value pairs and emitting packed rows to subscribers with deterministic output.

broadcast lookup-table dictionary
Python
import random

# Generate a deterministic mock broadcast of a small lookup table
# with 5 keys and random integer values (seeded for reproducibility)

data = {
    "sensor_a": 22,
    "sensor_b": 87,
    "sensor_c": 43,
    "sensor_d": 65,
    "sensor_e": 31,
}

# Simulate a broadcast to subscribers by iterating and p…
14 0 Open
Big data & Spark easy

How to Use Broadcast Variables as Read-Only in PySpark (Mock Example)

Share a lookup dict across Spark executors with a broadcast variable and verify its read-only behavior in a local mock.

pyspark broadcast spark
Python
from pyspark import SparkContext, SparkConf

def main():
    conf = SparkConf().setAppName("BroadcastMock").setMaster("local[2]")
    sc = SparkContext(conf=conf)
    
    lookup = {"a": 1, "b": 2, "c": 3}
    broadcast_lookup = sc.broadcast(lookup)
    
    data = ["a", "b", "c", "a", "unknown"]
    rdd = sc.parallel…
13 0 Open
Big data & Spark easy

Modeling a Hive Metastore Table Schema in Python

A dataclass that mimics a Hive metastore table schema—columns, partition keys, storage format, and location—with helper methods for description and mutation.

hive dataclass metastore
Python
from dataclasses import dataclass, field
from typing import Dict, List, Optional


@dataclass
class HiveTable:
    """Simple mock of a Hive metastore table schema."""
    name: str
    database: str = "default"
    columns: List[Dict[str, str]] = field(default_factory=list)
    partition_keys: List[Dict[str, str]] = f…
14 0 Open
ML engineering pipelines easy

How to Mock a Feature Store Online Lookup in Python

This code simulates an online feature store with single and batch retrieval methods, using a dict-backed cache and timestamps.

feature-store ml-infrastructure online-lookup
Python
import random
import time


class OnlineFeatureStore:
    def __init__(self):
        self.features = {}

    def put(self, entity_id: str, feature_name: str, value):
        key = (entity_id, feature_name)
        self.features[key] = (value, time.time())

    def get(self, entity_id: str, feature_name: str):
       …
13 0 Open
Database scaling & optimization easy

Broadcast a Small Reference Table in Python

Simulates SQL-style broadcasting of a small lookup table against a larger fact table in memory for mockups or load tests.

broadcast mock-data data-engineering
Python
import random

def broadcast_mock(target, source, columns):
    result = {}
    for col in columns:
        if col in target and col in source:
            result[col] = target[col] + [source[col][i % len(source[col])] for i in range(len(target[col]))]
        elif col in target:
            result[col] = target[col]
…
17 0 Open
Database scaling & optimization easy

How to Mock Sticky Session Read-Your-Writes in Python

Simulates a sticky session store that routes reads for a session to the node where the last write occurred, demonstrating read-your-writes consistency.

sticky sessions read-your-writes mock
Python
class StickySessionStore:
    def __init__(self):
        self.data = {}
        self.session_nodes = {}

    def write(self, session_id, key, value):
        self.data[key] = value
        self.session_nodes[session_id] = key
        return f"Wrote {key}={value} for session {session_id}"

    def read(self, session_i…
13 0 Open
Database scaling & optimization easy

How to Speed Up Column Lookups with DataFrame Index in Python

Use pandas set_index to make repeated column value lookups O(1)-style fast instead of scanning the whole DataFrame each time.

pandas indexing performance
Python
import pandas as pd

# Mock dataset with duplicate customer IDs
data = {"customer_id": [101, 102, 103, 101, 104, 102],
        "order_amount": [250.0, 85.5, 300.0, 175.25, 420.0, 95.75]}

df = pd.DataFrame(data)
df = df.set_index("customer_id")

# Simulated lookup request
search_id = 102

# Fast index-based lookup (no…
15 0 Open
Auth & security at scale easy

How to Mock a TLS Certificate Rotation Schedule in Python

Simulate a TLS certificate rotation schedule with a Python class that tracks last and next rotation dates and decides when to rotate.

tls certificates rotation
Python
import datetime
import random
import time


class CertRotator:
    def __init__(self, cert_name, rotation_days=30):
        self.cert_name = cert_name
        self.rotation_days = rotation_days
        self.last_rotated = datetime.date.today() - datetime.timedelta(days=random.randint(10, 25))
        self.next_rotatio…
16 0 Open
Production deployment patterns easy

How to Mock Terraform Plan and Apply in Python

This code provides a lightweight Python mock of Terraform's plan and apply commands, helping you simulate infrastructure changes without real cloud resources.

terraform mock simulation
Python
class MockTerraform:
    def __init__(self):
        self.plans = [
            {"id": 1, "action": "create", "resource": "aws_instance.web"},
            {"id": 2, "action": "update", "resource": "aws_s3_bucket.data"},
            {"id": 3, "action": "destroy", "resource": "aws_iam_user.legacy"}
        ]
        sel…
14 0 Open
Production deployment patterns easy

How to Mock a Slow Startup Probe for Fast Testing in Python

This code shows how to replace a slow startup probe's initialization with a mock to make tests run fast and reliably.

mock testing startup-probe
Python
import time
from unittest.mock import Mock, patch


class StartupProbe:
    def __init__(self, init_time):
        self.init_time = init_time
        self.ready = False

    def initialize(self):
        time.sleep(self.init_time)
        self.ready = True
        return self.ready


def run_startup_probe(probe):
    …
15 0 Open
Production deployment patterns easy

How to Mock an Ingress TLS Certificate Manager in Python

Build a mock TLS certificate manager for ingress that issues, checks, and renews certificates with expiry tracking — useful for testing deployment workflows before touching real infrastructure.

tls certificates ingress
Python
import ssl
import socket
from datetime import datetime, timedelta


class TLSCertManager:
    def __init__(self, hostname):
        self.hostname = hostname
        self.certificates = {}

    def request_certificate(self, domain, days_valid=90):
        """Mock a certificate issuance request that stores a cert with e…
15 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.