Pythonic way to combine for-loop and if-statement

Optimal usage and other scenarios

Consider comprehensions beyond basics: There are advanced patterns that cater to more complex scenarios such as:

• Set operations: set.intersection() for iterating over common elements among multiple sets and set.difference() for unique elements.
• Sorting: sorted() for ordering the results from operations like set.intersection() or set.difference().
• Different Python versions: Check that your comprehensions and generator expressions are compatible across different Python versions.

Inline generators for improved readability: Inlining generators can enhance code readability:

def get_even_squares(numbers):
    return (x ** 2 for x in numbers if x % 2 == 0)
      
squares = get_even_squares(range(10))
# Because why manually square even numbers when you can let Python do it for you?
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Elegance and efficiency: Adopt partial function application or functions from the operator module as a more maintainable substitute for lambda functions:

from functools import partial
from operator import mul

twice = partial(mul, 2)
results = [twice(x) for x in range(10) if x > 5]
# Did I just create a multiplication function? Yes, yes I did.
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Pythonic paradigms and tricks

Using filter() like a boss

Combine filter() with lambda for a more functional style to conditional checking:

filtered_results = filter(lambda x: x if x % 2 == 0 else None, range(10))
# Feeling functional? We've got you covered.
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The magic of 'not in'

Employ the 'not in' operator for quick exclusion of elements:

whitelist = {'apples', 'oranges'}
fruits = [f for f in ['apples', 'bananas', 'oranges', 'kiwi'] if f not in whitelist]
# Not in the list? We don't want you! Sorry, no apologies.
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Dealing with complexity

To handle more complicated conditions, decompose them into well-named functions or standalone generators:

def is_prime(num):
    # Let's pretend we have a perfect prime check function
    pass

primes = (x for x in range(100) if is_prime(x))
# Keep yourself prime, keep it pythonic!
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