Reference library

Strings & text

Format, split, join, parse, and clean text — everyday Python string patterns.

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Strings & text easy

Find Data From a String in Python: Stats, Clean, Keywords

Three helper functions for beginners: compute character/word/sentence stats, normalize whitespace and case, and extract unique sorted keywords from a string.

strings text-processing keywords
Python 
def get_text_stats(text):
    """Return basic statistics about a string."""
    words = text.split()
    sentences = text.replace('!', '.').replace('?', '.').split('.')
    sentences = [s for s in sentences if s.strip()]
    return {
        'characters': len(text),
        'words': len(words),
        'sentences': le…
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Strings & text — Python code examples

What you will find here

This page collects strings & text snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.

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.

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