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Strings & text

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

3 matches
Strings & text easy

How to Process Lines of Text in Python

Strip whitespace, split a multi-line string, count words per line, and print structured summaries using basic string methods and loops.

strings text-processing splitlines
Python
text = """   Python is great!
Coding is fun.
   Python skills help you grow.   """

lines = text.strip().splitlines()
line_count = len(lines)

processed = []
for line in lines:
    stripped = line.strip()
    word_count = len(stripped.split())
    processed.append({
        "original": line,
        "stripped": stripp…
14 0 Open
Strings & text easy

How to Summarize Text Statistics in Python

This function returns basic statistics about a string, including character, word, and sentence counts, plus case and digit counts.

strings text-processing statistics
Python
def summarize_text(text):
    """Return basic statistics about a string."""
    words = text.split()
    return {
        "characters": len(text),
        "words": len(words),
        "sentences": text.count(".") + text.count("!") + text.count("?"),
        "uppercase": sum(c.isupper() for c in text),
        "lowerca…
14 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

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Strings & text — Python code examples

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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.

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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.