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Algorithms & data structures

Classic patterns — search, sort, stacks, queues, and practical complexity-aware code.

7 matches
Algorithms & data structures easy

Filter List to Keep Only Whitelist Values in Python

Filter a list of values to keep only those present in a predefined whitelist set using a list comprehension.

filtering sets list-comprehension
Python
def filter_whitelist(values, whitelist):
    """Return only values that are present in the whitelist set."""
    return [value for value in values if value in whitelist]

if __name__ == "__main__":
    raw_values = ["apple", "banana", "cherry", "date", "apple", "elderberry"]
    allowed = {"apple", "banana", "date"}

…
11 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)
12 0 Open
Algorithms & data structures easy

How to Apply a Function to Sliding Window Slices in Python

This Python code applies a given function to every contiguous window of a specified size in a list, returning a list of results.

sliding-window list-comprehension algorithms
Python
def apply_to_sliding_windows(data, window_size, func):
    return [func(data[i:i + window_size]) for i in range(len(data) - window_size + 1)]

if __name__ == "__main__":
    numbers = [1, 2, 3, 4, 5, 6]
    window_size = 3
    results = apply_to_sliding_windows(numbers, window_size, sum)
    print(results)
    results…
16 0 Open
Algorithms & data structures easy

How to Combine filter and map with a List Comprehension in Python

This Python code demonstrates how to combine filtering and mapping in a single list comprehension and shows the equivalent filter() and map() approach.

list-comprehension filter map
Python
def square(x):
    return x * x

def is_even(x):
    return x % 2 == 0

numbers = [1, 2, 3, 4, 5, 6, 7, 8]

result = [square(x) for x in numbers if is_even(x)]

print(f"Original numbers: {numbers}")
print(f"Squares of even numbers: {result}")

# Combined filter + map equivalent
filtered = filter(is_even, numbers)
mapp…
13 0 Open
Algorithms & data structures easy

How to Compare Two Lists Elementwise for Greater Flags in Python

Compare two equal-length lists element by element and return a list of booleans marking where list_a values are greater than list_b values.

lists comparison zip
Python
def compare_lists_greater(list_a, list_b):
    """
    Compare two lists elementwise and return a list of booleans
    indicating whether each element in list_a is greater than the
    corresponding element in list_b.
    """
    if len(list_a) != len(list_b):
        raise ValueError("Lists must have the same length"…
13 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)
14 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 = …
12 0 Open

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