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Python Code Samples

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

29 matches
Data pipelines & processing easy

How to Safely Coerce Strings to Numbers in Python

A safe conversion function that turns strings into integers or floats, returning a fallback value when conversion fails.

type-conversion robust-parsing data-cleaning
Python
import math

def to_number(value, fallback=None):
    """Safely coerce a string to int or float, returning fallback on failure."""
    if isinstance(value, (int, float)):
        return value
    try:
        # Try int first for clean whole numbers
        return int(value)
    except (ValueError, TypeError):
        …
12 0 Open
Data pipelines & processing easy

How to Validate Data in a Python Pipeline

A helper module to validate common record types — email, positive integer, and non-empty string list — before processing data in a pipeline.

data-validation pipelines type-checking
Python
from typing import Any, Iterable


def is_valid_email(email: str) -> bool:
    """Basic email check: one '@', no spaces, dot after '@'."""
    if "@" not in email or " " in email:
        return False
    local, _, domain = email.partition("@")
    return bool(local) and "." in domain


def is_positive_int(value: Any)…
12 0 Open
Concurrency & performance easy

How to Use Array Typecodes for Compact Numeric Storage in Python

This code demonstrates how to use the `array` module with typecodes to store integers, floats, and bytes in a memory-efficient way compared to standard Python lists.

array memory performance
Python
from array import array

def demonstrate_array_types():
    # Compact integer arrays
    small_ints = array('i', [1, 2, 3, 4, 5])
    unsigned_ints = array('I', [10, 20, 30])
    
    # Floating point arrays
    floats = array('f', [1.5, 2.5, 3.5])
    doubles = array('d', [1.123456789, 2.987654321])
    
    # Charac…
15 0 Open
Testing & modern typing easy

How to Test Hypotheses with Property-Based Check in Python

A Python search that checks an integer property (palindrome divisible by digit sum) and returns the first counterexample within a range, with exactly reproduced output from the code.

hypothesis testing palindrome
Python
def is_property_satisfied(n):
    """
    Demonstrates a mathematically inspired property:
    checks whether n is both a palindrome and divisible by its digit sum.
    """
    s = str(n)
    if s != s[::-1]:
        return False
    digit_sum = sum(int(d) for d in s)
    return digit_sum != 0 and n % digit_sum == 0

…
10 0 Open
Reliability & rate limiting easy

Rate Limiting with a Simple Python RateLimiter Class

A beginner-friendly Python rate limiter that tracks call timestamps and enforces a maximum number of calls within a rolling time window, with a helper to validate positive integers.

rate-limiting time api
Python
import time

class RateLimiter:
    def __init__(self, max_calls, period_seconds):
        self.max_calls = max_calls
        self.period_seconds = period_seconds
        self.calls = []

    def is_allowed(self):
        now = time.time()
        while self.calls and now - self.calls[0] >= self.period_seconds:
      …
13 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.

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  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.