Can you explain map, reduce, and filter with examples?

Can you explain map, reduce, and filter with examples?

Sure! Map, reduce, and filter are higher-order functions in programming that operate on collections. Would you like examples in Python?

Yes, please provide examples in Python.

Alright! For map, you can use it to apply a function to all items in a list. For example:

squared = list(map(lambda x: x**2, [1, 2, 3, 4]))
print(squared)  # Output: [1, 4, 9, 16]

What about filter?

For filter, it allows you to filter items in a list based on a condition. For example:

filtered = list(filter(lambda x: x > 2, [1, 2, 3, 4]))
print(filtered)  # Output: [3, 4]

And how does reduce work?

reduce is used to apply a rolling computation to sequential pairs of values in a list. For example:

from functools import reduce
sum = reduce(lambda x, y: x + y, [1, 2, 3, 4])
print(sum)  # Output: 10