I also wrote an interpreter, and it's 500x faster than CPython or PyPy.
(As it happens, my interpreter can only run a single fixed program, but I'm not worried: most people won't read past the headline when I announce it.)
(As it happens, my interpreter can only run a single fixed program, but I'm not worried: most people won't read past the headline when I announce it.)
That's great!
Even if your new interpreter doesn't run all the code that's out there it can serve as a base for further work, it's a nice proof of concept and it's just plain cool hacking. It certainly beats all those people merely posting snarky comments on project announcements.
>(As it happens, my interpreter can only run a single fixed program, but I'm not worried: most people won't read past the headline when I announce it.)
With sarcasm off now, yeah?
They worked on something and they are enthusiastic about the results they get. Perhaps they want to oversell them, in a headline. So what? If people "won't read past the headline" then they also won't be using this PythonJS. So no harm done to them.
At worst, you'll be lured to read an interesting article. And if you have any understanding of compilers/interpreters at all, you'll know before the end of it who real-world-usable it would be or not.
Don't know why, don't know why it's FUD, etc. Next time when they get a choice, they'll bash CPython. Not figuring why everyone uses CPython probably.
And you're encouraging that. Probably just thinking it puts you on a higher pedestal or something of the sort. I think its pretty shitty.
The damaging thing is claiming things like PythonJS are implementations of Python, when they merely share syntax and some semantics. They might be fast, but that's not very relevant.
Runtimes like PyPy is where we should be looking, since they implement the full Python language and are fast.
Compared to what? Please be specific in your definition of "slow."
>Runtimes like PyPy is where we should be looking, since they implement the full Python language and are fast.
Why should 'we' be looking to PyPy? Have you run a non-trivial application with pypy (v. standard cpy) and found it to be significantly faster?
Even if your code would benefit from JIT, and your code is compatible for running on PyPy, does it benefit more from a compiler switch than CPython + Pandas?
Yes, I have run non-trivial applications on PyPy and they were significantly faster. Its only downside is libraries that depend on CPython extensions, but there are few of those left.
Pandas doesn't do much for removing function call overhead. I don't necessarily have large mathematical datasets, I just want my web service to be easier to write, by not having to care about what CPython is terribly slow at.
I could've manually inlined lots of functions to avoid the overhead on CPython, but I'd have a horrible code base. On PyPy I can simply not care about this aspect, just like in most other languages.
C most likely is, or at least more reliably. JS engines specialise to proper arrays most of the time, though. They're quite remarkably fast, much like PyPy.
CPython, the original Python interpreter written in C, is not particularly fast at anything.