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Algorithms & data structures

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7 matches
Algorithms & data structures easy

Find Missing Number in Python Sequence 1 to N

Find the missing number from a list containing numbers 1 to N using the arithmetic sum formula.

missing-number arithmetic sum
Python
def find_missing_number(nums, n):
    expected_sum = n * (n + 1) // 2
    actual_sum = sum(nums)
    return expected_sum - actual_sum


if __name__ == "__main__":
    n = 10
    numbers = [1, 2, 3, 4, 5, 6, 7, 9, 10]
    missing = find_missing_number(numbers, n)
    print(f"The missing number is: {missing}")
15 0 Open
Algorithms & data structures easy

Find Pivot Index in Python

Locate the index where the sum of elements to the left equals the sum to the right, using a single pass with prefix sums.

pivot array prefix-sum
Python
def find_pivot_index(nums):
    total = sum(nums)
    left_sum = 0
    for i, num in enumerate(nums):
        if left_sum == total - left_sum - num:
            return i
        left_sum += num
    return -1


if __name__ == "__main__":
    test_cases = [
        [1, 7, 3, 6, 5, 6],
        [1, 2, 3],
        [2, 1, -…
13 0 Open
Algorithms & data structures easy

Find the Equilibrium Index of a List in Python

Find every index in a list where the sum of elements to its left equals the sum to its right, using a single pass.

equilibrium-index prefix-sums arrays
Python
def find_equilibrium_indexes(arr):
    total = sum(arr)
    left_sum = 0
    indexes = []
    for i, num in enumerate(arr):
        total -= num
        if left_sum == total:
            indexes.append(i)
        left_sum += num
    return indexes

if __name__ == "__main__":
    test = [1, 2, 3, -1, 2, 3]
    result =…
13 0 Open
Algorithms & data structures easy

Generate Pascal's Triangle Rows in Python

Builds Pascal's triangle as a list of rows, where each inner value is the sum of the two values above it.

pascal-triangle dynamic-programming algorithms
Python
def generate_pascals_triangle(rows):
    triangle = []
    for row_num in range(rows):
        row = [1] * (row_num + 1)
        for col in range(1, row_num):
            row[col] = triangle[row_num - 1][col - 1] + triangle[row_num - 1][col]
        triangle.append(row)
    return triangle

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

How to Add Two Lists Elementwise in Python

Add two equal-length lists element by element using a list comprehension with zip, returning a new list of summed values.

list zip list-comprehension
Python
def elementwise_add(list1, list2):
    return [a + b for a, b in zip(list1, list2)]

if __name__ == "__main__":
    list_a = [1, 2, 3, 4]
    list_b = [10, 20, 30, 40]
    result = elementwise_add(list_a, list_b)
    print(result)
13 0 Open
Algorithms & data structures easy

How to Compute the Dot Product of Two Lists in Python

Compute the dot product of two equal-length numeric lists using a generator expression with zip and sum.

dot product zip sum
Python
def dot_product(list1, list2):
    """
    Compute the dot product of two numeric lists.
    The lists must have the same length.
    """
    if len(list1) != len(list2):
        raise ValueError("Lists must have the same length")
    
    return sum(a * b for a, b in zip(list1, list2))


if __name__ == "__main__":
  …
13 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…
12 0 Open

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