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How Python Compares Floats and Ints: When Equals Isn’t Really Equal
(blog.codingconfessions.com)
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this post was submitted on 27 May 2024
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I assume this is because that number is so large that it loses precision, in which case this is more of a quirk of floating point than a quirk of Python.
Disclaimer: Have not read the article yet.
It’s both. As you said it’s because of loss of floating point precision, but it’s also with some of the quirks how Python compares int with float. These two together causes this strange behavior.