Reference library

Lists & loops

Iterate, transform, and combine sequences with readable loop patterns.

10 matches
Lists & loops easy

Find Local Minima (Valleys) in a Numeric List in Python

This code finds indices of all local minima (valleys) in a numeric list, including edge cases, using a simple loop that compares each element with its neighbors.

local minima valleys list
Python
def find_local_minima(numbers):
    """Find indices of local minima (valleys) in a numeric list.
    
    A value is a local minimum if it's less than or equal to its neighbors.
    Edge elements are considered minima if they're less than or equal to their single neighbor.
    """
    if not numbers:
        return []…
14 0 Open
Lists & loops easy

Find Minimum Value in a List in Python

This code defines a function that finds and returns the minimum value in a list of numbers, handling empty lists gracefully by returning None.

minimum lists iteration
Python
def find_minimum(numbers):
    """
    Find and return the minimum value in a list of numbers.
    
    Args:
        numbers: List of numeric values
        
    Returns:
        The minimum value, or None if the list is empty
    """
    if not numbers:
        return None
    min_value = numbers[0]
    for num in n…
12 0 Open
Lists & loops easy

Generate Data Helper for Beginners in Python

Define two functions that create a random list of integers and then compute basic summary statistics like count, total, average, maximum, and minimum using simple loops.

random loops lists
Python
from random import randint

def build_dataset(size: int, max_val: int) -> list[int]:
    data = []
    for _ in range(size):
        data.append(randint(1, max_val))
    return data

def summarize(data: list[int]) -> dict[str, float]:
    total = 0
    maximum = data[0]
    minimum = data[0]
    for value in data:
   …
12 0 Open
Lists & loops easy

How to Cycle Through a List Infinitely with itertools

This code uses itertools.cycle to create an infinite iterator over a list and returns the first n items from that cycle.

itertools cycle infinite iteration
Python
from itertools import cycle

def demonstrate_cycle(items, cycles=3):
    """
    Cycle through a list infinitely using itertools.cycle.
    Returns the first n items from the infinite cycle.
    """
    cycled = cycle(items)
    result = [next(cycled) for _ in range(len(items) * cycles)]
    return result

if __name__…
14 0 Open
Lists & loops easy

How to Merge Two Sorted Lists in Python

Merge two sorted lists into one sorted list using a two-pointer loop, then extend with remaining elements.

sorting merge two-pointers
Python
def merge_sorted_lists(list1, list2):
    merged = []
    i = j = 0
    
    while i < len(list1) and j < len(list2):
        if list1[i] <= list2[j]:
            merged.append(list1[i])
            i += 1
        else:
            merged.append(list2[j])
            j += 1
    
    merged.extend(list1[i:])
    merged…
14 0 Open
Lists & loops easy

How to Normalize a List of Numbers to the 0-1 Range in Python

Scale a list of numbers so the minimum becomes 0 and the maximum becomes 1 using min-max normalization.

normalization lists data-science
Python
def min_max_normalize(values):
    """Normalize a list of numbers to the [0, 1] range."""
    if not values:
        return []
    min_val = min(values)
    max_val = max(values)
    if min_val == max_val:
        return [0.0] * len(values)
    return [(x - min_val) / (max_val - min_val) for x in values]


if __name__…
12 0 Open
Lists & loops easy

How to Truncate a List to Max Length in Python (Keep Head)

This code returns a new list containing only the first max_length items from the original list, using Python's slice syntax.

list slicing truncate
Python
from typing import List

def truncate_head(lst: List[object], max_length: int) -> List[object]:
    """Return a new list with at most max_length items from the head."""
    if max_length < 0:
        raise ValueError("max_length must be non-negative")
    return lst[:max_length]

if __name__ == "__main__":
    # Examp…
14 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

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
Lists & loops easy

Truncate List Keeping Last N Elements in Python

Return a new list containing only the last N elements from a sequence, handling edge cases like zero or oversized counts.

list slicing sequence
Python
def truncate(seq, keep_last_n):
    """Return a new list keeping only the last n elements."""
    if keep_last_n <= 0:
        return []
    return list(seq)[-keep_last_n:]


if __name__ == "__main__":
    data = [10, 20, 30, 40, 50, 60]
    print(truncate(data, 3))
    print(truncate(data, 0))
    print(truncate(data…
12 0 Open

Browse by section

Each section groups closely related Python snippets.

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.