What are some tips for functional programming in Python?
Functional programming in Python emphasizes immutability and first-class functions. Here are some tips:
map()
, filter()
, and reduce()
for processing collections.functools
for decorators and partial functions.Can you explain how to use map()
and filter()
?
Sure! map()
applies a function to all items in an iterable, returning a map object. For example:
squared = list(map(lambda x: x**2, [1, 2, 3, 4])) # [1, 4, 9, 16]
filter()
creates a list of elements for which a function returns true:
even_numbers = list(filter(lambda x: x % 2 == 0, [1, 2, 3, 4])) # [2, 4]
What are higher-order functions?
Higher-order functions are functions that can take other functions as arguments or return them as results. For example, you can create a function that takes another function and a list, applying that function to each element of the list.
Can you give an example of a higher-order function?
Certainly! Here's a simple example:
def apply_function(func, lst):
return [func(x) for x in lst]
result = apply_function(lambda x: x + 1, [1, 2, 3]) # [2, 3, 4]
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