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"Выпуск языка программирования Go 1.7" Отправлено rob pike, 20-Авг-16 11:20
Что говорят в индустрии >  I use OCaml at Red Hat for a lot of virtualization tools. I had reason to use Python for some code quite recently, and it reminded me of how much better ML-derived languages are. > The things I found awful about Python compared to OCaml: > - Lots of bugs which are never noticed, even at run time, eg. along error paths. 'pylint' helps here, but it doesn't catch all the bugs, and IMHO if you need a lint tool to fix your language you're doing it wrong in the first place. > - Really hard to refactor code. In OCaml the compiler helps refactoring -- you just break something and hit 'make -k' until you've fixed all the places that need fixing. In Python you have to visually grep all the code, which doesn't scale and is bug-prone. > - I miss nested variable declarations. > - Poor support for data types. Python in theory has lots, but in practice everyone's using dictionaries and objects, which are unsafe and introduce bugs by design. > - Slow. Really slow. > There were a few good aspects of Python, but I ended up with a lot of buggy code, and I know there are many more bugs in there which I haven't yet found, which just wouldn't be the case with a statically typed, type-inferenced ML-derived language. https://news.ycombinator.com/item?id=7766908

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Сообщение*:	> Что говорят в индустрии >> I use OCaml at Red Hat for a lot of virtualization tools. I had reason to use Python for some code quite recently, and it reminded me of how much better ML-derived languages are. >> The things I found awful about Python compared to OCaml: >> - Lots of bugs which are never noticed, even at run time, eg. along error paths. 'pylint' helps here, but it doesn't catch all the bugs, and IMHO if you need a lint tool to fix your language you're doing it wrong in the first place. >> - Really hard to refactor code. In OCaml the compiler helps refactoring -- you just break something and hit 'make -k' until you've fixed all the places that need fixing. In Python you have to visually grep all the code, which doesn't scale and is bug-prone. >> - I miss nested variable declarations. >> - Poor support for data types. Python in theory has lots, but in practice everyone's using dictionaries and objects, which are unsafe and introduce bugs by design. >> - Slow. Really slow. >> There were a few good aspects of Python, but I ended up with a lot of buggy code, and I know there are many more bugs in there which I haven't yet found, which just wouldn't be the case with a statically typed, type-inferenced ML-derived language. > https://news.ycombinator.com/item?id=7766908
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