Reference library

Strings & text

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

3 matches
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…
14 0 Open
Strings & text easy

How to Sort Text Alphabetically in Python

Sort words or lines alphabetically with case-insensitive ordering while preserving original casing.

sorting text-processing strings
Python
def sort_words(text):
    """Sort words alphabetically (case-insensitive), preserving case."""
    words = text.split()
    return sorted(words, key=str.lower)


def sort_lines(text):
    """Sort lines alphabetically (case-insensitive), preserving case."""
    lines = [line for line in text.splitlines() if line.strip(…
11 0 Open
Strings & text easy

How to Sort Text in Python with a Simple Helper Function

A compact helper function that sorts a list of strings or splits a string into words and sorts them alphabetically, with optional reverse ordering.

sorting strings text-processing
Python
def sort_text(data, reverse=False):
    """
    Sort a list of strings (or a single string split into words) alphabetically.
    """
    if isinstance(data, str):
        words = data.split()
    else:
        words = [str(item) for item in data]
    return sorted(words, reverse=reverse)


if __name__ == "__main__":
 …
11 0 Open

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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.