How to Optimize Date Parsing in Python for Faster Performance?

A Swift strptime?

Parsing vast numbers of dates in 'YYYY-MM-DD' format and modifying them can be a performance bottleneck, especially when dealing with large datasets.

To accelerate this process, you can use the following technique instead of datetime.datetime.strptime(endofdaydate, "%Y-%m-%d").date():

datetime.date(*map(int, a.split('-')))

This approach splits the string into three integer components and packs them into a datetime.date object. With this optimization, you can achieve an impressive 8-fold performance improvement.

If you prefer a more explicit approach, you can use the following:

datetime.date(int(a[:4]), int(a[5:7]), int(a[8:10]))

This technique yields an even greater speed boost, providing a 9-fold performance gain compared to the original method.

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