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Python Code Samples

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

10 matches
Functions & basics easy

Calculate Time Difference Across Time Zones in Python

Compute the current time difference in hours between two time zones given their UTC offsets using Python's datetime and timezone modules.

datetime timezone timedelta
Python
from datetime import datetime, timezone, timedelta

def time_difference(from_tz_offset, to_tz_offset):
    """
    Calculate time difference in hours between two time zones given their offsets from UTC.
    Offsets are in hours (e.g., -5 for EST, +5.5 for IST).
    """
    tz1 = timezone(timedelta(hours=from_tz_offset…
44 0 Open
Algorithms & data structures medium

How to Sort Colors (Dutch National Flag) in Python

In-place sorting of a list of 0s, 1s, and 2s using the Dutch National Flag algorithm with O(n) time and O(1) space.

algorithm sorting two-pointers
Python
def sort_colors(nums):
    low, mid, high = 0, 0, len(nums) - 1

    while mid <= high:
        if nums[mid] == 0:
            nums[low], nums[mid] = nums[mid], nums[low]
            low += 1
            mid += 1
        elif nums[mid] == 1:
            mid += 1
        else:  # nums[mid] == 2
            nums[mid], n…
14 0 Open
Automation & scripting medium

Find Best Meeting Time Across Time Zones in Python

This code calculates overlapping available hours among participants in different time zones and returns the best meeting time in UTC and each participant's local time.

timezones scheduling datetime
Python
from datetime import datetime, timedelta, timezone
from zoneinfo import ZoneInfo
from dataclasses import dataclass
from typing import List, Tuple, Optional

@dataclass
class Participant:
    name: str
    timezone: str
    # weekdays availability: 0=Mon, start_hour (0-23), end_hour (0-23)
    available_slots: List[Tup…
39 0 Open
Data pipelines & processing medium

Normalize Timestamps to UTC DateTime in Python

Convert timestamps in multiple formats to UTC-aware datetime objects using datetime.strptime and astimezone.

datetime timezone utc
Python
from datetime import datetime, timezone

raw_timestamps = [
    "2024-01-15 14:30:00+02:00",
    "17/05/2024 09:15:00 -0500",
    "2024-03-01T22:45:00Z",
    "2024-06-20 08:00:00+09:30"
]

def parse_and_convert(ts: str) -> datetime:
    normalized_ts = ts.strip().replace("Z", "+00:00")
    formats = [
        "%Y-%m-%…
14 0 Open
Testing & modern typing easy

Mock datetime with time-machine in Python

Use the time-machine library to travel to a fixed datetime when running tests or scripts, mocking datetime.utcnow().

testing datetime mock
Python
from time_machine import travel
from datetime import datetime


@travel("2020-01-01 10:30:00")
def check_date():
    return datetime.utcnow()


if __name__ == "__main__":
    print(check_date())
13 0 Open
Observability & SRE easy

How to mock SLI availability success ratio in Python

Simulate request outcomes with deterministic randomness and compute the SLI availability success ratio to check if a target is met.

sli availability monitoring
Python
import random
from collections import defaultdict

def mock_availability(num_requests=1000, target_ratio=0.995):
    """
    Simulate request outcomes and compute the SLI availability success ratio.
    
    Args:
        num_requests: Total number of requests to simulate
        target_ratio: Target availability rati…
14 0 Open
Observability & SRE easy

Track Success Rates and Latency in Python: SRE Metrics Helper

A beginner-friendly Python class to record request outcomes and latencies, then report success rate, average latency, and p99.

sre metrics latency
Python
import random
import time
from collections import defaultdict


class MetricsTracker:
    """Simple helper to track success rates and latencies for SRE beginners."""

    def __init__(self):
        self.successes = 0
        self.failures = 0
        self.latencies = []

    def record(self, success, latency_ms):
   …
14 0 Open
A/B testing & experimentation easy

How to Mock an Exposure Event Log Record in Python

Generate a realistic exposure event record with UUID, UTC timestamp, and risk level for testing or experimentation.

mocking events testing
Python
import uuid
from datetime import datetime, timezone


def mock_exposure_event(person_id: str, location: str, duration_minutes: int) -> dict:
    return {
        "event_id": str(uuid.uuid4()),
        "person_id": person_id,
        "location": location,
        "duration_minutes": duration_minutes,
        "timestamp…
16 0 Open
A/B testing & experimentation medium

How to Perform Intent-to-Treat Analysis in Python

Runs an intent-to-treat analysis on mock A/B test data, comparing outcomes by initial group assignment with a t-test for significance.

ab-testing intent-to-treat statistics
Python
import pandas as pd
import numpy as np


def intent_to_treat_analysis(data):
    """Perform intent-to-treat (ITT) analysis.

    ITT compares outcomes based on initial treatment assignment,
    regardless of whether participants actually received the treatment.
    """
    # Create a copy to avoid mutating the origina…
13 0 Open
A/B testing & experimentation medium

How to join assignment logs with outcomes in Python

Merge submission log entries with grading outcomes using left join and full outer join patterns in pure Python.

join data-merge ab-testing
Python
from datetime import datetime, timedelta

class AssignmentLog:
    def __init__(self):
        self.logs = [
            {"assignment_id": 101, "student_id": "S001", "submitted_at": "2024-03-01 10:30:00"},
            {"assignment_id": 101, "student_id": "S002", "submitted_at": "2024-03-02 14:15:00"},
            {"as…
12 0 Open

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Guide: free Python code samples library

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

  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.