Lists & loops
Iterate, transform, and combine sequences with readable loop patterns.
Check if List is Sorted Ascending in Python
Verify that a list is sorted in ascending order using the all() function and a generator expression.
def is_sorted_ascending(lst):
return all(lst[i] <= lst[i + 1] for i in range(len(lst) - 1))
if __name__ == "__main__":
test_lists = [
[1, 2, 3, 4, 5],
[1, 3, 2, 4, 5],
[5, 4, 3, 2, 1],
[1, 1, 2, 2, 3],
[10],
[]
]
for lst in test_lists:
print(f"{l…How to Build a Frequency Map from a List in Python
This code builds a dictionary that maps each unique element in a list to its count using the Counter class from the collections module.
from collections import Counter
def build_frequency_map(values):
"""Return a dictionary mapping each unique value to its frequency."""
return dict(Counter(values))
if __name__ == "__main__":
data = ["apple", "banana", "apple", "cherry", "banana", "apple"]
freq_map = build_frequency_map(data)
prin…How to Calculate a Cumulative Sum in Python
Build a new list where each element equals the running total of all numbers up to that index in the original list.
numbers = [1, 2, 3, 4, 5]
cumulative_sum = []
running_total = 0
for num in numbers:
running_total += num
cumulative_sum.append(running_total)
print(cumulative_sum)How to Find the Mode in a Python List
Find the most frequent value (mode) in a Python list using the collections.Counter class, handling empty lists and ties.
from collections import Counter
def find_mode(numbers):
if not numbers:
return None
counts = Counter(numbers)
max_count = max(counts.values())
modes = [num for num, count in counts.items() if count == max_count]
return modes[0] if len(modes) == 1 else modes
if __name__ == "__main__":
…How to Group Consecutive Equal Elements in Python
Group consecutive equal elements in a list into sublists using itertools.groupby.
from itertools import groupby
def group_consecutive(lst):
"""Group consecutive equal elements into sublists."""
return [list(group) for _, group in groupby(lst)]
if __name__ == "__main__":
input_list = [1, 1, 2, 2, 2, 3, 1, 1, 4, 4, 4, 4]
result = group_consecutive(input_list)
print("Input:", inp…How to Partition a List Around a Pivot in Python
This code splits a list into three parts—elements less than, equal to, and greater than a pivot—then concatenates them to produce a partitioned list while preserving the original order within each group.
def partition_list(lst, pivot):
less = []
equal = []
greater = []
for item in lst:
if item < pivot:
less.append(item)
elif item == pivot:
equal.append(item)
else:
greater.append(item)
return less + equal + greater
if __name__ == "__main__…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.
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…Browse by section
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Lists & loops — Python code examples
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