Built-in functions are always available in Python without importing another module.
They make common jobs shorter: count values, total numbers, sort data, pair lists, check conditions, and inspect objects.
Learn the built-ins you can explain clearly before reaching for more complex tools.
Functions such as len(), sum(), min(), and max() answer basic questions about collections.
marks = [76, 88, 91, 64]
print(len(marks))
print(sum(marks))
print(max(marks))
4
319
91
The built-ins read the list and return count, total, and highest value.
enumerate() gives index and value together. zip() walks multiple sequences side by side.
names = ["Maya", "Ravi"]
scores = [91, 87]
for index, (name, score) in enumerate(zip(names, scores), start=1):
print(index, name, score)
1 Maya 91
2 Ravi 87
zip pairs names with scores, and enumerate adds a human-friendly position.
any() checks whether at least one value is true. all() checks whether every value is true.
sorted(), map(), and filter() transform or select data, but comprehensions are often easier for beginners to read.
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Often they are efficient, but the bigger beginner benefit is clarity. Use them when they express the task directly.
list.sort() changes the list in place. sorted() returns a new sorted list.
They are valid, but list comprehensions are often clearer for beginner Python code.
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