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Python Code Samples

Copy-ready Python snippets by topic and difficulty — short, focused, and runnable in the browser editor.

150 matches
Lists & loops easy

How to Normalize a List of Numbers in Python

This Python function normalizes a list of numeric values to the range [0, 1] using min-max scaling, returning a new list and leaving the original unchanged.

lists loops normalization
Python
def normalize(data):
    """
    Normalize a list of numeric values to the range [0, 1].
    Returns a new list, leaving the original unchanged.
    """
    if not data:
        return []
    
    min_val = min(data)
    max_val = max(data)
    
    # Handle the edge case where all values are identical
    if min_val …
17 0 Open
Lists & loops easy

How to Parse Bullet Points in Python

Extract bullet point items from raw text by splitting lines and filtering those that start with '- ' or '* '.

text parsing bullet points loops
Python
def parse_bullet_points(text):
    """Extract bullet point items from raw text."""
    lines = text.splitlines()
    items = []
    
    for line in lines:
        stripped = line.strip()
        if stripped.startswith("- ") or stripped.startswith("* "):
            item = stripped[2:]
            if item:
           …
13 0 Open
Lists & loops easy

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.

strings lists loops
Python
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…
15 0 Open
Lists & loops easy

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.

lists loops text-processing
Python
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…
12 0 Open
Lists & loops easy

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.

text-processing loops strings
Python
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…
12 0 Open
Lists & loops easy

How to Process Text with Lists and Loops in Python

A beginner-friendly text processor that splits a sentence into words, filters by length, counts vowels, and reports results using lists and loops.

lists loops strings
Python
text = "Python makes text processing easy and fun"

words = text.lower().split()

print("Words in the sentence:")
for index, word in enumerate(words, start=1):
    print(f"{index}. {word}")

filtered_words = [word for word in words if len(word) > 3]

print(f"\nWords longer than 3 characters: {filtered_words}")

letter…
14 0 Open
Lists & loops easy

How to Process Text with Lists and Loops in Python

Iterate over a list of text lines to count words, show uppercase versions, and report character counts per line.

lists loops enumerate
Python
# text_processor.py

def process_text(lines):
    """Count words, show uppercase, and count characters per line."""
    total_words = 0
    print("Line-by-line analysis:")
    for i, line in enumerate(lines, start=1):
        words = line.split()
        total_words += len(words)
        print(f"  Line {i}: {len(words…
17 0 Open
Lists & loops easy

How to Reverse a List in Place Without Using reverse() in Python

A two-pointer while loop swaps elements from both ends toward the center to reverse a list in place without creating a copy.

lists in-place two-pointer
Python
def reverse_list_in_place(lst):
    left = 0
    right = len(lst) - 1
    while left < right:
        lst[left], lst[right] = lst[right], lst[left]
        left += 1
        right -= 1


if __name__ == "__main__":
    my_list = [1, 2, 3, 4, 5]
    print("Original:", my_list)
    reverse_list_in_place(my_list)
    prin…
14 0 Open
Lists & loops easy

How to Summarize a List of Numbers in Python

Loop over a list of numbers to compute total, count, average, min, and max, then return them in a dictionary.

lists loops statistics
Python
def summarize_numbers(numbers):
    """Return a dict with basic stats for a list of numbers."""
    total = 0
    count = 0
    smallest = numbers[0]
    largest = numbers[0]

    for num in numbers:
        total += num
        count += 1
        if num < smallest:
            smallest = num
        if num > largest:…
16 0 Open
Lists & loops easy

How to Transpose a Matrix in Python (List of Lists)

Swap rows and columns of a 2D list using nested loops to produce a transposed matrix.

matrix transpose 2d-list
Python
def transpose(matrix):
    # Number of rows and columns in the original matrix
    rows = len(matrix)
    cols = len(matrix[0]) if rows > 0 else 0
    
    # Create a new matrix with dimensions swapped
    result = []
    for j in range(cols):
        new_row = []
        for i in range(rows):
            new_row.appe…
13 0 Open
Lists & loops easy

How to Validate List Data in Python

A beginner-friendly validation helper that checks if data is a list, enforces minimum length, and optionally verifies item types with clear error messages.

validation lists loops
Python
def validate_data(data, expected_types=None, min_length=1):
    """Validate that data is a non-empty list and optionally check item types."""
    if not isinstance(data, list):
        return False, f"Expected a list, got {type(data).__name__}"
    
    if len(data) < min_length:
        return False, f"List must have…
16 0 Open
Lists & loops easy

How to Validate Text Against Forbidden Words in Python

Checks whether a given text contains any forbidden words and returns a tuple with validity and offending words.

text validation lists loops
Python
def validate_text(text, forbidden_words):
    """
    Checks that text does not contain any forbidden words.
    Returns (is_valid, offending_words) tuple.
    """
    words = text.lower().split()
    found = [word for word in words if word in forbidden_words]
    return len(found) == 0, found


if __name__ == "__main…
14 0 Open
Lists & loops easy

How to check list items by type and emptiness in Python

Loop through a list with enumerate(), classify each item as empty, number, or text, and print a formatted status for each element.

lists loops enumerate
Python
def check_data(data):
    """Check each item in a list and print whether it's valid."""
    for i, item in enumerate(data):
        if item is None or item == "":
            status = "empty"
        elif isinstance(item, (int, float)):
            status = "number"
        else:
            status = "text"
        pr…
14 0 Open
Lists & loops easy

How to summarize and transform lists in Python

Compute count, sum, min, max, and average for a list and multiply each element by a factor using simple loops and built-in functions.

lists loops statistics
Python
def summarize(data):
    """Return a summary of a list: count, sum, min, max, average."""
    count = len(data)
    total = sum(data)
    minimum = min(data)
    maximum = max(data)
    average = total / count if count else 0
    return count, total, minimum, maximum, average


def multiply_elements(data, factor=2):
 …
13 0 Open
Lists & loops easy

How to unzip a list of pairs into two lists in Python

Split a list of (a, b) tuples into two separate lists by iterating with a for loop and appending each element to its own output list.

lists tuples loops
Python
def unzip(pairs):
    """Split a list of (a, b) pairs into two separate lists."""
    if not pairs:
        return [], []
    
    firsts = []
    seconds = []
    for a, b in pairs:
        firsts.append(a)
        seconds.append(b)
    
    return firsts, seconds


if __name__ == "__main__":
    pairs = [(1, 'a'), (…
14 0 Open
Lists & loops easy

Pairwise Adjacent Differences in a Python List

Computes the absolute differences between each pair of adjacent elements in a list using a concise list comprehension.

list-comprehension differences absolute-value
Python
def adjacent_differences(nums):
    """Return list of absolute differences between adjacent elements."""
    return [abs(nums[i] - nums[i + 1]) for i in range(len(nums) - 1)]


if __name__ == "__main__":
    sample = [3, 7, 2, 9, 5]
    diffs = adjacent_differences(sample)
    print("Original list:", sample)
    print…
14 0 Open
Lists & loops easy

Round Robin Merge Multiple Lists in Python

Merge multiple lists by taking one element from each in turn, stopping when all lists are exhausted.

lists merge interleave
Python
from itertools import cycle

def round_robin_merge(*lists):
    """Merge multiple lists by taking one element from each in turn."""
    result = []
    max_len = max(len(lst) for lst in lists)
    
    for i in range(max_len):
        for lst in lists:
            if i < len(lst):
                result.append(lst[i])…
14 0 Open
Lists & loops easy

Separate Evens and Odds into Two Lists in Python

Split a list of numbers into two lists containing even and odd numbers using a simple loop and the modulo operator.

lists loops modulo
Python
def separate_evens_odds(numbers):
    evens = []
    odds = []
    for num in numbers:
        if num % 2 == 0:
            evens.append(num)
        else:
            odds.append(num)
    return evens, odds

if __name__ == "__main__":
    nums = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
    evens, odds = separate_evens_odds(nu…
13 0 Open
Functions & basics easy

Benchmark list append vs comprehension in Python

This micro-benchmark compares the speed of building a list with a for loop and append versus a list comprehension, using the timeit module to get precise timings.

timeit benchmark performance
Python
import timeit

# Build a list of the first 1,000,000 integers using append in a loop
def append_loop(n=1_000_000):
    result = []
    for i in range(n):
        result.append(i)
    return result

# Build the same list using a list comprehension
def comprehension(n=1_000_000):
    return [i for i in range(n)]

if __n…
13 0 Open
Functions & basics easy

Build a Progress Callback Function for Loops in Python

Create a reusable progress callback that receives per-step data and lets callers log or update a UI as a loop runs.

callback loops progress
Python
def run_with_progress(items, desc="Processing", step_callback=None):
    """Run a loop with progress updates via callback."""
    total = len(items)
    for idx, item in enumerate(items):
        # Process the item (simulated work here)
        result = item * 2

        # Build progress data dictionary
        if ste…
14 0 Open
Functions & basics easy

How to Count Items with Default Parameters in Python

Define a Python function that prints each item with a running counter, using default parameters to allow custom start values and step increments.

functions default-parameters loops
Python
def count_items(items, start=0, step=1):
    """Count items in a list with configurable start value and step."""
    count = start
    for item in items:
        print(f"{count}: {item}")
        count += step

if __name__ == "__main__":
    fruits = ["apple", "banana", "cherry"]
    print("Default parameters (start=0…
11 0 Open
Functions & basics easy

How to Create an Iterator Class with Dunder Methods in Python

A minimal Counter class implementing __iter__ and __next__ to act as a self-iterating iterator, yielding numbers from start to end-1.

iterators dunder-methods class
Python
class Counter:
    def __init__(self, start=0, end=5):
        self.current = start
        self.end = end

    def __iter__(self):
        return self

    def __next__(self):
        if self.current >= self.end:
            raise StopIteration
        value = self.current
        self.current += 1
        return val…
13 0 Open
Functions & basics medium

How to Implement a Trampoline for Tail Recursion in Python

This code implements a trampoline decorator that converts tail-recursive functions into iterative loops, allowing deep recursion without hitting Python's recursion limit.

trampoline tail-recursion decorator
Python
def trampoline(fn):
    """Convert a tail-recursive function into an iterative loop."""
    def wrapper(*args, **kwargs):
        result = fn(*args, **kwargs)
        while callable(result):
            result = result()
        return result
    return wrapper

@trampoline
def factorial(n, acc=1):
    """Tail-recursi…
11 0 Open
Functions & basics easy

Compound interest calculator in Python

Compute future investment value with the compound interest formula and a readable year-by-year loop.

math finance functions
Python
def future_value(
    principal: float,
    annual_rate: float,
    years: int,
    compounds_per_year: int = 12,
) -> float:
    """Return balance after compound interest (rounded to cents)."""
    rate_per_period = annual_rate / compounds_per_year
    periods = compounds_per_year * years
    amount = principal * (1 …
54 0 Open

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Guide: free Python code samples library

Copy-ready Python snippets for learners and developers

PythonSkillset code samples are short, focused examples organised by topic and difficulty. Every snippet is server-rendered HTML — readable by search engines and easy to copy. Open any sample, read the notes, copy the code, then press Try in editor to run it in the browser with Pyodide.

How to use this library

  1. Pick a topic section — strings, lists, files, functions, and more
  2. Open a sample, read How it works, and copy the code block
  3. Run it in the IDE, tweak values, then take a related quiz or tutorial lesson

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.