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Python Code Samples

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

6 matches
Data pipelines & processing easy

Group Python Events into Sessions with a Gap Timeout

Groups timestamped events into sessions, starting a new session when the time gap exceeds a specified timeout.

sessions grouping datetime
Python
from itertools import groupby
from datetime import datetime, timedelta

def session_window_group(events, gap_seconds=300):
    """Group events into sessions where gap > gap_seconds starts a new session."""
    if not events:
        return []
    
    events = sorted(events, key=lambda x: x[0])
    sessions = []
    c…
13 0 Open
Modern tooling easy

How to Define Nox Sessions in Python

Automate repetitive tasks like testing and linting with reusable Nox sessions.

nox automation task-runner
Python
import nox


@nox.session(python=["3.9", "3.10"])
def tests(session):
    session.install("pytest")
    session.run("pytest")


@nox.session(python="3.9")
def lint(session):
    session.install("ruff")
    session.run("ruff", "check", ".")


if __name__ == "__main__":
    print("Nox sessions defined: tests, lint")
   …
13 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
Big data & Spark easy

Session window gap mock in Python

Group sorted timestamps into sessions where any gap between consecutive events exceeds a threshold starts a new session.

timestamps sessions windowing
Python
from datetime import datetime, timedelta


def session_windows(timestamps, gap_seconds=300):
    """Group timestamps into sessions where gaps > gap_seconds start new sessions."""
    if not timestamps:
        return []

    # Sort timestamps chronologically to ensure correct windowing
    timestamps = sorted(timestam…
14 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
Auth & security at scale medium

How to Mock a Redis Session Store in Python

An in-memory RedisSessionStore class with TTL-based expiry, get/set/delete/exists methods, and JSON field support—perfect for testing and prototyping without a live Redis.

redis session mock
Python
import time
import json
from collections import defaultdict


class RedisSessionStore:
    """In-memory mock of a Redis-backed session store."""

    def __init__(self, ttl=3600):
        self._data = defaultdict(dict)
        self._expires = {}
        self._ttl = ttl

    def set(self, session_id, field, value):
   …
12 0 Open

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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

  1. Pick a topic section — strings, lists, files, functions, and more
  2. Open a sample, read How it works, and copy the code block
  3. Run it in the IDE, tweak values, then take a related quiz or tutorial lesson

Samples vs tutorials and challenges

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.