Reference library

Python Code Samples

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

4 matches
Strings & text easy

String helpers in Python: stats, reverse, and remove vowels

Three beginner-friendly Python functions compute text statistics, reverse word order, and strip vowels from a string.

string-manipulation text-stats vowel-removal
Python
def text_stats(text: str) -> dict:
    """Return basic statistics for a given text string."""
    words = text.split()
    return {
        "characters": len(text),
        "words": len(words),
        "sentences": text.count(".") + text.count("!") + text.count("?"),
        "uppercase": sum(1 for c in text if c.isupp…
14 0 Open
Functions & basics easy

How to Write a Normalize Function with Default Parameters in Python

Define a reusable normalize function with configurable default parameters for lowercase conversion, whitespace stripping, and punctuation removal.

functions default-parameters string-processing
Python
def normalize(text, lowercase=True, strip_whitespace=True, remove_punctuation=False):
    """Normalize a string based on configurable options."""
    if lowercase:
        text = text.lower()
    if strip_whitespace:
        text = text.strip()
    if remove_punctuation:
        text = ''.join(char for char in text if…
13 0 Open
Algorithms & data structures easy

How to Remove Banned Values from a List in Python

Filters a list by removing elements present in a banned set, preserving the original order.

list set filter
Python
def remove_banned(values, banned):
    banned_set = set(banned)
    return [item for item in values if item not in banned_set]


if __name__ == "__main__":
    values = [1, 2, 3, 4, 5, 2, 6, 3, 7]
    banned = [2, 3]
    result = remove_banned(values, banned)
    print(result)
12 0 Open
System design patterns medium

How to Build a Pipe and Filter Text Processing Chain in Python

A functional pipe-and-filter chain that transforms text through uppercase, whitespace normalization, number removal, stopword filtering, and file export.

pipeline text-processing functional
Python
import re
import sys


def pipe_filter_chain(stream):
    def uppercase(text):
        return text.upper()

    def strip_whitespace(text):
        return " ".join(text.split())

    def remove_numbers(text):
        return re.sub(r"\d+", "", text)

    def remove_stopwords(text, stopwords={"the", "and", "of", "in"}):…
16 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.