Reference library

Strings & text

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

6 matches
Strings & text easy

How to Build a Basic Text Processor in Python

Split text into sentences, count words, find the longest word, and convert text to uppercase — all with pure Python string methods.

string text-processing split
Python
text = """The quick brown fox jumps over the lazy dog.
Python is a powerful programming language.
Keep practicing every single day!"""

sentences = text.split(". ")
word_count = 0
longest_word = ""

for sentence in sentences:
    words = sentence.split()
    word_count += len(words)
    for word in words:
        clea…
15 0 Open
Strings & text easy

How to Build a Text Processor in Python

This code defines functions to count words, sentences, and find the longest word in a text, then prints basic statistics like uppercase and lowercase versions.

text-processing strings word-count
Python
def count_words(text):
    return len(text.split())


def count_sentences(text):
    sentence_endings = ".!?"
    count = 0
    for char in text:
        if char in sentence_endings:
            count += 1
    return count


def longest_word(text):
    words = text.split()
    if not words:
        return ""
    retur…
15 0 Open
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:"…
14 0 Open
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

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

Browse by section

Each section groups closely related Python snippets.

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.