Reference library

Python Code Samples

Easy snippets you can copy, study, and run in the browser editor.

6 matches
Strings & text easy

How to Format Text in Python (Beginner's Guide)

This beginner-friendly Python script demonstrates text formatting basics: stripping whitespace, converting to title case, replacing substrings, splitting into words, and generating a snippet.

string-manipulation text-formatting beginner
Python
text = "  hello world, welcome to python skillset!  "
cleaned = text.strip()
title_cased = cleaned.title()
replaced = title_cased.replace("Python", "PYTHON")
words = replaced.split()
word_count = len(words)
first_three = " ".join(words[:3])
snippet = first_three + "..."
print("Original:", repr(text))
print("Stripped:"…
13 0 Open
Strings & text easy

How to Mask Credit Card Middle Digits in Python

Mask the middle digits of credit card numbers in a string, keeping only the first 8 and last 4 digits, using regular expressions.

regex string-manipulation security
Python
import re

def mask_credit_card(text: str) -> str:
    pattern = re.compile(r'(\d{4}[-\s]?)(\d{4}[-\s]?)(\d{4}[-\s]?)(\d{4})')
    return pattern.sub(lambda m: m.group(1) + m.group(2) + '****' + m.group(4), text)

if __name__ == "__main__":
    sample = "Card: 1234-5678-9012-3456 and 1111 2222 3333 4444"
    print(mas…
13 0 Open
Strings & text easy

How to build a text helper in Python for beginners

This code provides easy-to-use functions for cleaning text, removing punctuation, counting word frequencies, and summarizing strings — perfect for beginners.

string-manipulation text-processing word-count
Python
def clean_text(text: str) -> str:
    """Clean and normalize a text string."""
    text = text.strip()
    text = text.replace("  ", " ")
    text = text.capitalize()
    text = text.replace(".", ".")
    return text


def remove_punctuation(text: str) -> str:
    """Remove common punctuation marks from a string."""
 …
12 0 Open
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
Lists & loops easy

How to Process Text Lines with Lists and Loops in Python

This code processes a list of text lines by stripping whitespace, converting to uppercase, and reporting character counts per line and totals.

lists loops text-processing
Python
def process_text(lines):
    """Convert a list of text lines to uppercase and report line statistics."""
    processed = []
    total_chars = 0
    
    for index, line in enumerate(lines, start=1):
        cleaned = line.strip().upper()
        processed.append(cleaned)
        total_chars += len(cleaned)
        pri…
12 0 Open
AI & LLM integration patterns easy

How to Filter Toxic Keywords in Python

Filter toxic keywords from text by replacing each occurrence with asterisks, useful as a basic guardrail for LLM inputs.

guardrails text-filtering llm-safety
Python
TOXIC_KEYWORDS = ["insult", "threat", "hate", "violence", "spam"]


def guardrails_filter(text: str, keywords: list[str] | None = None) -> str:
    """Filter out toxic keywords from the given text.

    Args:
        text: The input text to filter.
        keywords: Optional keyword list. Defaults to TOXIC_KEYWORDS.

…
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.