Text Processing

Transform, parse, and manipulate text data.

Quick Start

text = "  Hello, World!  "

# Basic operations
text.strip()       # "Hello, World!"
text.lower()       # "  hello, world!  "
text.replace(",", "") # "  Hello World!  "
text.split()       # ["Hello,", "World!"]

Common Patterns

Split and join

# Split by delimiter
parts = "a,b,c".split(",")  # ["a", "b", "c"]

# Join with delimiter
joined = "\n".join(lines)

# Split lines
lines = text.splitlines()

String formatting

name, value = "count", 42

# f-strings
result = f"{name}: {value}"

# Format with padding
formatted = f"{name:>10}: {value:05d}"

Text search

text = "Hello, World!"

text.startswith("Hello")  # True
text.endswith("!")        # True
"World" in text           # True
text.find("World")        # 7 (index)
text.count("l")           # 3

Case conversion

text = "hello world"

text.capitalize()  # "Hello world"
text.title()       # "Hello World"
text.upper()       # "HELLO WORLD"
text.swapcase()    # "HELLO WORLD"

Parse structured text

# Parse key=value pairs
text = "name=John\nage=30\ncity=NYC"
data = dict(line.split("=") for line in text.splitlines())

# Parse CSV-like
rows = [line.split(",") for line in csv_text.splitlines()]

Clean text

# Remove extra whitespace
clean = " ".join(text.split())

# Remove specific characters
clean = text.translate(str.maketrans("", "", "!@#$%"))