https://signal-and-syntax.com/tags/data-parsing/Recent content in Data Parsing on Signal & SyntaxHugoen-usWed, 17 Sep 2025 13:00:00 -0700https://signal-and-syntax.com/posts/python-integer-division-and-modulus/Wed, 17 Sep 2025 13:00:00 -0700https://signal-and-syntax.com/posts/python-integer-division-and-modulus/numbers with // and % for speed and clarity." }} When you need to parse a number, the first instinct is often to convert it to a string and slice it. That works well for data that comes from people — like phone numbers, credit cards, or postal codes — where formatting and leading zeros matter. But when you are working with raw numeric data that is guaranteed to be fixed-width and free of formatting, numeric parsing with integer division (//) and modulus (%) is the better option.