How Can I Efficiently Iterate Through a Date Range in Python?

Iterating through a Range of Dates in Python

Iterating through a series of dates can be a common task in Python programming. Let's examine how to enhance the efficiency of this operation.

Initially, a solution using a nested loop and generator comprehension was proposed:

for single_date in [d for d in (start_date + timedelta(n) for n in range(day_count)) if d <= end_date]:
    print(strftime("%Y-%m-%d", single_date.timetuple()))

One suggestion was to simplify the code by eliminating one iteration:

for single_date in (start_date + timedelta(n) for n in range(day_count)):
    print(...)

This approach remains clear and concise while effectively iterating over the required date range.

An alternative, more elegant solution involves creating a generator function to handle the iteration:

from datetime import date, timedelta

def daterange(start_date: date, end_date: date):
    days = int((end_date - start_date).days)
    for n in range(days):
        yield start_date + timedelta(n)

for single_date in daterange(start_date, end_date):
    print(single_date.strftime("%Y-%m-%d"))

This generator function encapsulates the iteration logic, simplifying the calling code and promoting reusability. By understanding the different approaches, developers can choose the option that best fits their specific requirements, prioritizing efficiency and readability.

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