CSV Reader Benchmarks: Julia Reads CSVs 10-20x Faster than Python and R
Maybe I'm a cranky old man, but I think there's immense value in the fact that Python's (scientific and non-scientific) ecosystem has matured and has become standard over the last 1-2 decades.<p>Starting again from the ground up in a shiny new language (even if the language is perhaps slightly better) is a waste of so much effort. Transitioning from Python 2 to 3 was already a nightmare.<p>I know there's some interoperability between Julia and Python, but a lot of stuff is not interoperable, and there are annoying differences in array indexing etc.<p>Why can't people just settle on some tech, let it mature, and enjoy reaching higher and higher in capability? Why do we have to always tear things down and start from scratch?<p>This causes a lot of artificial bit rot, there's a never ending treadmill of just porting well-developed concepts and mature code to slightly changed representations. It's the busywork of tech.<p>Does the scientific community also want to follow web dev in their insane churn of frameworks and libraries where last week's best practice is laughable ancient stone-age primitiveness today?