Reference library

Strings & text

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

3 matches
Strings & text easy

Extract Data from Strings in Python: Beginner's Guide

A beginner-friendly helper that splits a comma-separated string into a list, shows word count, and extracts the first and last words using Python's split() and join() methods.

string split join
Python
text = "python,string,extract,beginner"

words = text.split(",")

print("Full text:", text)
print("Word count:", len(words))
print("First word:", words[0])
print("Last word:", words[-1])

joined = " | ".join(words)
print("Joined with separator:", joined)
15 0 Open
Strings & text easy

How to Inspect String Statistics in Python

A beginner-friendly function that returns detailed statistics about a string, including length, word count, character types, and easy text transformations.

strings text-analysis statistics
Python
def inspect_text(text: str) -> dict:
    """Return useful stats about a string for beginners."""
    words = text.split()
    return {
        "length": len(text),
        "word_count": len(words),
        "uppercase": sum(1 for ch in text if ch.isupper()),
        "lowercase": sum(1 for ch in text if ch.islower()),
 …
15 0 Open
Strings & text easy

Text Processor Functions for Beginners in Python

Demonstrates simple text-processing utilities: word counting, word reversal, whitespace normalization, and lowercase conversion using basic string methods.

text-processing string-methods word-count
Python
def count_words(text):
    """Return the number of words in a string."""
    return len(text.split())

def reverse_words(text):
    """Return the text with words in reverse order."""
    return ' '.join(text.split()[::-1])

def remove_extra_spaces(text):
    """Return text with extra whitespace collapsed to a single s…
14 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.