Re:CSV Reader Benchmarks: Julia Reads CSVs 10-20x Faster tha...
by mlthoughts2018 on Sunday October 11, 2020 @04:16PM
(#24748749)
No you’re mixing up two things.
1. Python’s std csv parser is very fast & versatile, perfectly good for a range of use cases that don’t have unusual needs.
2. For any production use cases whose needs aren’t met by the std csv parser, nobody would use it and nobody has to - plenty of other options exist (rightfully) as separate packages that allow the user to choose a different point of trade-off properties if they don’t like the std module’s defaults.
Nothing says the std isn’t good enough for production - it is. Just most people will use something application-specific and they have tons of options.
1. Python’s std csv parser is very fast & versatile, perfectly good for a range of use cases that don’t have unusual needs.
2. For any production use cases whose needs aren’t met by the std csv parser, nobody would use it and nobody has to - plenty of other options exist (rightfully) as separate packages that allow the user to choose a different point of trade-off properties if they don’t like the std module’s defaults.
Nothing says the std isn’t good enough for production - it is. Just most people will use something application-specific and they have tons of options.