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Python Code Samples

Copy-ready Python snippets by topic and difficulty — short, focused, and runnable in the browser editor.

92 matches
Streaming & messaging medium

How to Build a Flow Control Credit Window in Python

A Python class that reserves, confirms, releases, and settles credit to limit message flow and prevent overload in streaming pipelines.

flow-control credit-window streaming
Python
class CreditWindow:
    def __init__(self, max_credit=1000):
        self.max_credit = max_credit
        self.used_credit = 0
        self.pending_credit = 0
    
    def try_reserve(self, amount):
        available = self.max_credit - self.used_credit - self.pending_credit
        if available >= amount:
           …
14 0 Open
Streaming & messaging easy

How to Build a Materialized View Updater Consumer Mock in Python

A mock consumer that queues change events and triggers refresh callbacks to simulate materialized view updates.

dataclasses deque mocking
Python
import time
from collections import deque
from dataclasses import dataclass, field
from typing import Callable, Deque, Optional


@dataclass
class MaterializedViewUpdater:
    """Mock updater that consumes change events and refreshes a view."""
    refresh: Optional[Callable[[str], None]] = None
    queue: Deque[tuple…
14 0 Open
Streaming & messaging easy

How to Build a Mock Change Data Capture Event Stream in Python

Generate a deterministic list of mock CDC events with event IDs, stream positions, payloads, and timestamps for testing streaming pipelines.

cdc mock event-stream
Python
from itertools import count
from random import choice, randint, seed
from datetime import datetime, timedelta

seed(42)  # Make output deterministic
event_types = ["INSERT", "UPDATE", "DELETE"]
table_names = ["users", "orders", "products", "payments"]
counter = count(1)

def mock_cdc_event(stream_index: int) -> dict:
…
12 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 a Tumbling Window Counter in Python

Count events that fall within a fixed-size sliding time window using a deque and pruning logic.

streaming window aggregation
Python
from collections import deque
import time


class TumblingWindowCounter:
    def __init__(self, window_size_seconds):
        self.window_size = window_size_seconds
        self.window = deque()

    def add_event(self, timestamp):
        self.window.append(timestamp)

    def count(self, current_time):
        while…
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
Streaming & messaging medium

How to Mock a Kafka Producer Batch Send in Python

Simulate a Kafka producer in Python that sends batched JSON events with mock partitions and latency for testing streaming pipelines without a real broker.

kafka mock streaming
Python
import json
import random
import time
from datetime import datetime


class MockKafkaProducer:
    def __init__(self, topic):
        self.topic = topic
        self.sent_messages = []

    def send(self, value, key=None):
        message = {
            "topic": self.topic,
            "key": key,
            "value"…
13 0 Open
Streaming & messaging easy

How to Serialize and Deserialize JSON Event Payloads in Python

Define an EventPayload class with custom to_json and from_json methods to convert event objects to JSON strings and back, using datetime parsing.

json serialization datetime
Python
import json
from datetime import datetime


class EventPayload:
    def __init__(self, event_id, event_type, timestamp, data):
        self.event_id = event_id
        self.event_type = event_type
        self.timestamp = timestamp
        self.data = data

    def to_json(self):
        return json.dumps({
          …
12 0 Open
Streaming & messaging medium

How to Stream Join Windowed Mock Topics in Python

Simulates two message topics and joins their events when timestamps fall within a sliding time window using Python generators and deques.

streaming join generator
Python
import itertools
import random
import time
from collections import deque
from dataclasses import dataclass, field

@dataclass
class Event:
    key: str
    value: int
    timestamp: float = field(default_factory=time.time)

def generate_topic(prefix, keys, start_time):
    while True:
        yield Event(
            …
14 0 Open
Streaming & messaging medium

How to Track Session Windows with Gap Timeout in Python

A Python class that groups events into sessions, closing a session when the gap between events exceeds a timeout threshold.

session-window streaming timeout
Python
import time

class SessionWindow:
    """Track sessions with a gap timeout (mock)."""
    
    def __init__(self, timeout_seconds=5):
        self.timeout = timeout_seconds
        self.session_start = None
        self.last_event_time = None
        self.event_count = 0
        self.events = []
    
    def add_event…
13 0 Open
Streaming & messaging easy

How to Wrap Message Attributes in a CloudEvent with Python

Create a minimal CloudEvent dataclass that wraps arbitrary message attributes into a JSON envelope, matching CloudEvents 1.0 spec.

cloudevents messaging dataclasses
Python
import json
from dataclasses import dataclass, field, asdict
from typing import Any, Dict
from datetime import datetime, timezone


@dataclass
class CloudEvent:
    message_attributes: Dict[str, Any] = field(default_factory=dict)

    def wrap(self, event_id: str, source: str, event_type: str, data: Any):
        self…
13 0 Open
Streaming & messaging medium

How to mock a CQRS projector read model update in Python

Build a CQRS projector class that maintains denormalized read models by applying domain events in a mock order-processing service.

cqrs projector read-model
Python
from dataclasses import dataclass, field
from typing import Dict, List, Optional


@dataclass
class OrderReadModel:
    order_id: str
    customer_name: str
    total: float
    status: str = "pending"
    items: List[Dict] = field(default_factory=list)

    def apply_event(self, event_type: str, payload: Dict) -> Non…
11 0 Open
Streaming & messaging medium

Implement the Transactional Outbox Pattern with SQLite in Python

A Python implementation of the transactional outbox pattern using SQLite, ensuring atomic writes of order data and outbox events in a single transaction while supporting reliable message publishing and consumption.

outbox-pattern sqlite transactions
Python
import sqlite3
from dataclasses import dataclass
from datetime import datetime, timezone
import json

@dataclass
class Order:
    order_id: str
    amount: float
    status: str

class TransactionalOutbox:
    def __init__(self, db_path=":memory:"):
        self.conn = sqlite3.connect(db_path)
        self._create_tab…
17 0 Open
Streaming & messaging medium

In-Memory PubSub Topic Subscribe Mock in Python

Build a thread-safe in-memory publish/subscribe mock where handlers subscribe to named topics and receive every message published to them.

pubsub mock events
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)

    def publish(self, topic, message):
        for callback in self.topics.get(topic, []):
    …
16 0 Open
Streaming & messaging hard

Mock Protobuf Binary Encoding in Python

Demonstrates a minimal protobuf-like binary encoding and decoding of an event dataclass using varints and length-delimited fields in pure Python.

protobuf binary-encoding varint
Python
import struct
from dataclasses import dataclass


@dataclass
class Event:
    id: int
    user_id: int
    action: str

    def encode(self) -> bytes:
        # Mock protobuf-like binary encoding using varint and length-delimited fields
        buf = bytearray()
        # field 1: varint id (tag = (1 << 3) | 0 = 8)
  …
11 0 Open
Streaming & messaging medium

Mock Watermark Late Event Side Output in Python

Simulates watermarking in a streaming pipeline by classifying events as on-time or late using timestamps and delays.

watermark streaming side output
Python
from datetime import datetime, timedelta
from typing import List, Tuple


def watermark_mock(
    events: List[Tuple[datetime, str]], watermark_delay: timedelta, max_delay: timedelta
) -> Tuple[List[Tuple[datetime, str]], List[Tuple[datetime, str]]]:
    """Simulate watermarking: events arriving on time vs. late by ch…
11 0 Open
Caching & Redis medium

Cache Penetration Null Object Mock in Python

Implement a cache that stores a null marker on misses to prevent repeated database hits, reducing cache penetration.

caching null-object ttl
Python
import time
from collections import defaultdict
from typing import Any, Optional


class Cache:
    def __init__(self):
        self.store: dict[str, Any] = {}
        self.ttl: dict[str, float] = {}
        self.null_marker = object()

    def get(self, key: str, ttl: int = 60, fallback:
            Any = None) -> An…
17 0 Open
Caching & Redis medium

Cache Stampede Prevention with SingleFlight in Python

Implements a SingleFlight pattern in Python to deduplicate concurrent cache-miss computations and prevent cache stampede.

caching concurrency singleflight
Python
import threading
import time
from functools import wraps


class SingleFlight:
    def __init__(self):
        self._lock = threading.Lock()
        self._inflight = None

    def do(self, key, fn):
        with self._lock:
            if self._inflight is not None:
                return self._inflight[1]
           …
15 0 Open
Caching & Redis medium

How to Add TTL Jitter to Cache Expiration in Python

A Python decorator that adds random jitter to cache TTLs, staggering expiration times to prevent cache avalanche.

cache ttl jitter
Python
import random
import time
from functools import wraps

def add_jitter(ttl: float, jitter_range: float = 0.1) -> float:
    """Add random jitter (as % of TTL) to stagger cache expiration and prevent avalanche."""
    jitter = random.uniform(-jitter_range, jitter_range)
    return ttl * (1 + jitter)

def cache_with_jitt…
15 0 Open
Reliability & rate limiting medium

How to Implement a Bulkhead Pattern with Threading in Python

Implement a bulkhead pattern in Python that isolates concurrent tasks with a bounded semaphore, limiting active workers to prevent resource exhaustion.

bulkhead threading semaphore
Python
import threading
import time
import random


class Bulkhead:
    def __init__(self, workers: int):
        self._semaphore = threading.BoundedSemaphore(workers)
        self._lock = threading.Lock()
        self._active = 0

    def run(self, task):
        with self._semaphore:
            with self._lock:
          …
13 0 Open
Reliability & rate limiting easy

How to Implement a Sliding Window Counter in Python

This code implements an approximate sliding window counter using a deque of time-based buckets to track event counts within a recent time window.

sliding-window rate-limiting deque
Python
from collections import deque
from time import time


class SlidingWindowCounter:
    def __init__(self, window_size, bucket_size=1):
        self.window_size = window_size
        self.bucket_size = bucket_size
        self.buckets = deque()

    def _evict_expired(self, now):
        while self.buckets and self.buck…
13 0 Open
Observability & SRE easy

How to Add Metadata Attributes to a Span in Python

Create a lightweight dataclass-based Span mock that stores key-value metadata attributes for tracing or event logging.

dataclasses observability tracing
Python
from dataclasses import dataclass, field
from typing import Dict, Any

@dataclass
class Span:
    name: str
    attributes: Dict[str, Any] = field(default_factory=dict)
    
    def set_attribute(self, key: str, value: Any) -> None:
        self.attributes[key] = value
    
    def get_attribute(self, key: str) -> Any…
14 0 Open
Observability & SRE easy

How to Compute SRE Metrics Like Error Rate and Availability in Python

Tracks log events in a sliding time window and calculates error rate per second and availability percentage using an easy-to-follow class.

observability sre metrics
Python
from collections import deque
from datetime import datetime, timedelta
from typing import Dict, Deque


class LogMetrics:
    """Simple observability helper to track log events and calculate SRE metrics."""

    def __init__(self, window_seconds: int = 60):
        self.window_seconds = window_seconds
        self.eve…
14 0 Open
Observability & SRE medium

How to Group Alerts by Time Window in Python

Group alert occurrences that fall within a sliding time window per alert key, reducing noise and summarizing bursts into single events.

alerts grouping monitoring
Python
from collections import defaultdict
from datetime import datetime, timedelta

def group_alerts(alerts, window_minutes=10):
    """Group alerts that occur within the same time window."""
    alerts_by_key = defaultdict(list)
    
    for alert in alerts:
        key = alert["key"]
        timestamp = alert["timestamp"]…
12 0 Open

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Copy-ready Python snippets for learners and developers

PythonSkillset code samples are short, focused examples organised by topic and difficulty. Every snippet is server-rendered HTML — readable by search engines and easy to copy. Open any sample, read the notes, copy the code, then press Try in editor to run it in the browser with Pyodide.

How to use this library

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  3. Run it in the IDE, tweak values, then take a related quiz or tutorial lesson

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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.