How can I use map, reduce, and filter in Python?
You can use map()
to apply a function to all items in an iterable, filter()
to filter items based on a condition, and reduce()
to apply a rolling computation to sequential pairs of values.
Can you give me an example of using these functions together?
Sure! Here's a simple example: Let's say you have a list of numbers and you want to square them, filter out the even squares, and then sum them up. You can do this using all three functions.
That sounds interesting! Can you show me the code?
Absolutely! Here's the code:
from functools import reduce
numbers = [1, 2, 3, 4, 5]
squared = list(map(lambda x: x**2, numbers))
filtered = list(filter(lambda x: x % 2 != 0, squared))
sum_of_filtered = reduce(lambda x, y: x + y, filtered)
print(sum_of_filtered)
What will this code output?
This code will output 35
, which is the sum of the odd squares from the original list.
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