Lists & loops
Iterate, transform, and combine sequences with readable loop patterns.
How to Filter Empty Strings in Python
Remove empty and whitespace-only strings from a list using a list comprehension with the strip() method.
def filter_empty_strings(strings):
"""
Filter out empty strings (including whitespace-only strings)
from a list of strings.
"""
return [s for s in strings if s.strip()]
if __name__ == "__main__":
sample_list = ["hello", "", "world", " ", "python", " ", "!"]
filtered = filter_empty_strin…How to Parse Delimited Data into a Python List
Splits a pipe-delimited string, strips whitespace, filters empty items, and returns a clean list with a loop.
def parse_data(raw_data):
"""Parse a pipe-delimited string into a list of cleaned items."""
items = raw_data.split("|")
parsed = []
for item in items:
cleaned = item.strip()
if cleaned:
parsed.append(cleaned)
return parsed
if __name__ == "__main__":
data = " apple…How to Process Text Lines with Lists and Loops in Python
This code processes a list of text lines by stripping whitespace, converting to uppercase, and reporting character counts per line and totals.
def process_text(lines):
"""Convert a list of text lines to uppercase and report line statistics."""
processed = []
total_chars = 0
for index, line in enumerate(lines, start=1):
cleaned = line.strip().upper()
processed.append(cleaned)
total_chars += len(cleaned)
pri…How to Process Text into Words in Python
Splits a string into words, strips punctuation, and returns a list of uppercase words using a loop.
def convert_text_processor(text):
words = text.split()
processed = []
for word in words:
clean = word.strip('.,!?;:')
if len(clean) > 0:
processed.append(clean.upper())
return processed
if __name__ == "__main__":
sample_text = "Hello, world! This is a Python e…Browse by section
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Lists & loops — Python code examples
What you will find here
This page collects lists & loops 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.