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tannerdolby.com | ||
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orlp.net
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| | | | | [AI summary] A deep dive into the complexities and pitfalls of comparing different numeric types (integers and floating-point) across various programming languages and the CPU architecture | |
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gregat.es
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pavpanchekha.com
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| | | | | [AI summary] The article discusses the limitations of arbitrary precision arithmetic in avoiding floating point rounding errors and advocates for expression rearrangement as a more effective solution. | |
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ahmedhosssam.github.io
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| | | The lexical analyzer (lexer) takes a stream of characters and produces a stream of names, keywords, and punctuation marks; it discards white space and comments between the tokens. Lexical tokens have types in any programming language, example: ID foo, x, n14 NUM 73, 0, 082 REAL 3.14, 10., 1e9, 0.5 COMMA , NOTEQ != LPAREN ( RPAREN ) Punctuation tokens such as IF, VOID , RETURN constructed from alphabetic characters are called reserved words and, in most languages, cannot be used as identifiers. | ||