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Python Code Samples

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

1685 matches
Algorithms & data structures medium

How to Find the Previous Smaller Element in Python

Use a monotonic stack to find the nearest smaller element to the left of each item in a list, returning -1 when none exists.

monotonic stack stack arrays
Python
from collections import deque

def previous_smaller_elements(arr):
    stack = deque()
    result = [-1] * len(arr)

    for i in range(len(arr)):
        while stack and arr[stack[-1]] >= arr[i]:
            stack.pop()
        if stack:
            result[i] = arr[stack[-1]]
        stack.append(i)

    return resul…
16 0 Open
Algorithms & data structures easy

How to Generate a Geometric Progression List in Python

This Python function builds a list of n terms in a geometric progression, starting with a given first term and multiplying by a constant ratio at each step.

geometric-progression sequence algorithms
Python
def geometric_progression(first_term, ratio, count):
    """
    Generate a list of 'count' terms in a geometric progression
    starting with 'first_term' and multiplied by 'ratio' each step.
    """
    progression = []
    current = first_term
    for _ in range(count):
        progression.append(current)
        c…
14 0 Open
Algorithms & data structures easy

How to Generate an Arithmetic Progression List in Python

Generates a list of terms in an arithmetic progression using a list comprehension.

arithmetic list-comprehension sequences
Python
def generate_ap(start, difference, count):
    """Generate a list of n terms in an arithmetic progression."""
    return [start + i * difference for i in range(count)]


if __name__ == "__main__":
    ap = generate_ap(3, 5, 6)
    print(ap)
17 0 Open
Algorithms & data structures easy

How to Get the Breadth-First Traversal Order of a Graph in Python

Performs a breadth-first search on an adjacency list and returns the order nodes are visited, using a deque for efficient queue operations.

graph bfs queue
Python
from collections import deque

def bfs_order(adjacency, start=0):
    """Return the order nodes are visited in a breadth-first traversal."""
    visited = set()
    order = []
    queue = deque([start])
    visited.add(start)

    while queue:
        node = queue.popleft()
        order.append(node)

        for neig…
16 0 Open
Algorithms & data structures easy

How to Heapify a List into a Min Heap with heapq in Python

Convert any list into a valid min heap in-place using Python's heapq.heapify(), then pop the smallest element to verify heap order.

heapq min heap heapify
Python
import heapq

data = [5, 3, 8, 1, 9, 2, 7, 4, 6]
print("Original list:", data)

heapq.heapify(data)
print("Min heap:", data)

popped = heapq.heappop(data)
print("Smallest element popped:", popped)
print("Heap after pop:", data)
16 0 Open
Algorithms & data structures easy

How to Implement a Moving Average from a Data Stream in Python

Implement a MovingAverage class using a deque and running sum to compute the average of the last k values from a continuous data stream.

deque sliding-window streaming
Python
from collections import deque

class MovingAverage:
    def __init__(self, size):
        self.size = size
        self.queue = deque()
        self.window_sum = 0

    def next(self, val):
        self.queue.append(val)
        self.window_sum += val

        if len(self.queue) > self.size:
            self.window_su…
13 0 Open
Algorithms & data structures easy

How to Implement a Recent Counter with a Deque in Python

Implements a RecentCounter class that uses a deque to count ping requests within the last 3000 milliseconds.

deque recents sliding-window
Python
from collections import deque
import time


class RecentCounter:
    def __init__(self):
        self.hits = deque()

    def ping(self, t: int) -> int:
        self.hits.append(t)
        while self.hits and self.hits[0] < t - 3000:
            self.hits.popleft()
        return len(self.hits)


if __name__ == "__mai…
14 0 Open
Algorithms & data structures easy

How to Remove Banned Values from a List in Python

Filters a list by removing elements present in a banned set, preserving the original order.

list set filter
Python
def remove_banned(values, banned):
    banned_set = set(banned)
    return [item for item in values if item not in banned_set]


if __name__ == "__main__":
    values = [1, 2, 3, 4, 5, 2, 6, 3, 7]
    banned = [2, 3]
    result = remove_banned(values, banned)
    print(result)
16 0 Open
Algorithms & data structures easy

How to Remove Duplicates in Python Preserving Order

Removes duplicate items from a list while keeping the first occurrence order intact using a set for fast membership checks.

deduplication set list
Python
def remove_duplicates_preserving_order(items):
    seen = set()
    result = []
    for item in items:
        if item not in seen:
            seen.add(item)
            result.append(item)
    return result

if __name__ == "__main__":
    sample = [3, 1, 2, 1, 3, 4, 2, 5]
    unique_items = remove_duplicates_preserv…
15 0 Open
Algorithms & data structures easy

How to Replace Outliers Beyond Threshold with Cap in Python

Replace values that fall below a lower threshold or above an upper threshold by capping them to the threshold values using a simple Python function.

outliers capping data-cleaning
Python
def replace_outliers_with_cap(data, lower_threshold=None, upper_threshold=None):
    """Replace values beyond given thresholds with the threshold values (capping)."""
    if lower_threshold is None and upper_threshold is None:
        raise ValueError("At least one threshold must be provided.")
    
    capped_data = …
15 0 Open
Algorithms & data structures easy

How to Sample Random Items Without Replacement in Python

Select k random unique items from a sequence using random.sample for uniform, non-repeating selection.

random sampling algorithms
Python
import random

def sample_without_replacement(population, k):
    """Return k random items from population without replacement."""
    if k > len(population):
        raise ValueError("k cannot exceed population size")
    # Use random.sample for O(k) time, no mutation of the original
    return random.sample(populati…
15 0 Open
Algorithms & data structures medium

How to Search a Rotated Sorted List in Python

Binary search a pivot-rotated sorted list for a target value and return its index in O(log n) time.

binary-search rotated-array search-algorithm
Python
from typing import List

def search_rotated(nums: List[int], target: int) -> int:
    left, right = 0, len(nums) - 1

    while left <= right:
        mid = (left + right) // 2
        if nums[mid] == target:
            return mid

        # left half is sorted
        if nums[left] <= nums[mid]:
            if nums[…
15 0 Open
Algorithms & data structures medium

How to Solve Daily Temperatures Days Until Warmer in Python

Compute the number of days until a warmer temperature for each day using a monotonic stack.

stack monotonic algorithm
Python
def daily_temperatures(temps):
    n = len(temps)
    result = [0] * n
    stack = []
    
    for i, temp in enumerate(temps):
        while stack and temps[stack[-1]] < temp:
            prev_idx = stack.pop()
            result[prev_idx] = i - prev_idx
        stack.append(i)
    
    return result

if __name__ == …
15 0 Open
Algorithms & data structures easy

How to Sort Array by Parity (Even Before Odd) in Python

Rearrange an array so all even numbers appear before all odd numbers using a simple two-list partition approach.

array sorting partition
Python
def sort_array_by_parity(nums):
    """
    Rearrange the array so that all even integers come first,
    followed by all odd integers. The order within even and odd
    groups is not required to be sorted.
    """
    even = []
    odd = []
    
    for num in nums:
        if num % 2 == 0:
            even.append(nu…
16 0 Open
Algorithms & data structures easy

How to Split a List by a Predicate into Two Lists in Python

Partition any Python list into two lists based on a predicate: items that match go into one list, everything else into the other.

list predicate partition
Python
from typing import Callable, List, TypeVar

T = TypeVar("T")

def split_by_predicate(items: List[T], predicate: Callable[[T], bool]) -> tuple[List[T], List[T]]:
    matching = []
    non_matching = []
    for item in items:
        if predicate(item):
            matching.append(item)
        else:
            non_mat…
12 0 Open
Algorithms & data structures easy

How to compress consecutive numbers into range strings in Python

Convert a sorted list of consecutive integers into compact range strings like '1-3', '5-6', and '15'.

ranges compression arrays
Python
def compress_ranges(nums):
    """Convert a list of sorted consecutive numbers into range strings."""
    if not nums:
        return []
    
    ranges = []
    start = prev = nums[0]
    
    for num in nums[1:]:
        if num == prev + 1:
            prev = num
        else:
            if start == prev:
         …
18 0 Open
Algorithms & data structures easy

How to partition a list into n nearly equal parts in Python

Divide a list into n contiguous chunks of nearly equal size using an average-length calculation that distributes the remainder evenly.

partitioning chunks slicing
Python
def partition(lst, n):
    """Partition a list into n nearly equal contiguous parts."""
    if n <= 0:
        raise ValueError("n must be positive")
    if not lst:
        return [[] for _ in range(n)]
    
    parts = []
    avg = len(lst) / n
    last_idx = 0.0
    
    while last_idx < len(lst):
        end_idx =…
14 0 Open
Algorithms & data structures medium

Implement Insert Delete GetRandom O(1) in Python

Build a RandomizedSet class that supports insert, delete, and get_random in average O(1) time using a list and a dictionary mapping values to indices.

randomized-set o1-lookup hash-map
Python
import random

class RandomizedSet:
    def __init__(self):
        self.values = []
        self.index_map = {}

    def insert(self, val):
        if val in self.index_map:
            return False
        self.index_map[val] = len(self.values)
        self.values.append(val)
        return True

    def delete(self…
15 0 Open
Algorithms & data structures easy

Implement Queue Using Two Stacks in Python

Python class that implements a FIFO queue using two stacks, with enqueue, dequeue, peek, and emptiness checks.

queue stack data-structures
Python
class QueueUsingStacks:
    def __init__(self):
        self.stack_in = []
        self.stack_out = []

    def enqueue(self, value):
        self.stack_in.append(value)

    def dequeue(self):
        if not self.stack_out:
            while self.stack_in:
                self.stack_out.append(self.stack_in.pop())
  …
16 0 Open
Algorithms & data structures easy

Implement a Stack Using List Push Pop in Python

A minimal Stack class built on a Python list, with push, pop, peek, is_empty, and size methods, including empty-stack guards.

stack data-structures list
Python
class Stack:
    def __init__(self):
        self.items = []

    def push(self, item):
        self.items.append(item)

    def pop(self):
        if self.is_empty():
            raise IndexError("pop from empty stack")
        return self.items.pop()

    def peek(self):
        if self.is_empty():
            raise…
14 0 Open
Algorithms & data structures easy

Insert Multiple Values Into a Sorted List in Python

Insert multiple values into an already-sorted list while keeping it sorted using the bisect.insort function.

bisect sorted-list insertion
Python
import bisect

def insert_sorted(sorted_list, values):
    for value in values:
        bisect.insort(sorted_list, value)
    return sorted_list

if __name__ == "__main__":
    original = [1, 3, 5, 7, 9]
    new_values = [4, 6, 2, 8, 0]
    result = insert_sorted(original, new_values)
    print(f"Original: {original}"…
17 0 Open
Algorithms & data structures easy

Insert an Element Every n Positions in Python

Insert a given element before or after every n-th position in a Python list, returning a new list with the placements applied.

list-manipulation insertion algorithms
Python
def insert_every_n(seq, element, n, position="after"):
    """Insert an element before or after every n-th position in a list.

    Args:
        seq: Input list
        element: Element to insert
        n: Insert every n positions (n > 0)
        position: 'before' or 'after' (default: 'after')
    Returns:
        …
18 0 Open
Algorithms & data structures easy

Move Zeroes to End in Python Maintaining Order

In-place algorithm that moves all zeroes to the end of a list while preserving the relative order of non-zero elements.

two-pointers in-place array
Python
def move_zeroes(nums):
    non_zero_index = 0
    for i in range(len(nums)):
        if nums[i] != 0:
            nums[non_zero_index], nums[i] = nums[i], nums[non_zero_index]
            non_zero_index += 1
    return nums

if __name__ == "__main__":
    example = [0, 1, 0, 3, 12]
    result = move_zeroes(example)
  …
15 0 Open
Algorithms & data structures easy

Pair Elements with Next Cyclic Neighbor in Python

Create tuples pairing every element with its next element, wrapping around to the first element for the last one.

pairs cyclic list
Python
def cyclic_pairs(lst):
    if not lst:
        return []
    return [(lst[i], lst[(i + 1) % len(lst)]) for i in range(len(lst))]


if __name__ == "__main__":
    sample = [1, 2, 3, 4, 5]
    result = cyclic_pairs(sample)
    print(result)
16 0 Open

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