How Can I Efficiently Iterate Through Date Ranges in Python?

Iterating through Date Ranges in Python: A Concise Approach

The task of looping through a range of dates is often encountered in programming scenarios. When attempting this in Python, it's natural to consider the following code:

day_count = (end_date - start_date).days + 1
for single_date in [d for d in (start_date + timedelta(n) for n in range(day_count)) if d <= end_date]:
    print(single_date.strftime("%Y-%m-%d"))

While this solution appears neat, it involves two nested iterations and may seem unwieldy. A more concise approach is to leverage Python's generator constructions:

for single_date in (start_date + timedelta(n) for n in range(day_count)):
    print(single_date.strftime("%Y-%m-%d"))

In this code, the "if" condition has been removed as it's redundant. By iterating through the range [0, day_count), the generator ensures that all dates within the range [start_date, end_date) are covered.

Taking this one step further, a generator function can be employed to encapsulate the iteration logic:

def daterange(start_date, end_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 solution provides a reusable and efficient means of iterating through date ranges in Python. It eliminates the need for cumbersome nested loops and enhances code readability.

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