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Earlier quoted context omitted.
It's also confusing... I mean, what does "non-production use" mean anyway? Does it mean "non-commercial use"? Or "testing/debug/staging environment"? Or "does not produce any valuable output"...?
It means if a company uses this program, they can't use it without paying the developer.
Free for non-production use... it's a "no" for me.
Paying to use it seems fair.
Earlier quoted context omitted.
It's also confusing... I mean, what does "non-production use" mean anyway? Does it mean "non-commercial use"? Or "testing/debug/staging environment"? Or "does not produce any valuable output"...?
According to this article https://perens.com/2017/02/14/bsl-1-1/ about the Business Source License, the intention conveyed by the word "production" for that license is use "in any capacity that is meant to make money".
I'll note that that's the definition of "commercial".
after reading it's not a python compiler but a compiled language based on the python syntax
One of the faq things refers in passing to integers being 64bit instead of arbitrary precision. That's a bit more fundamental than some cpython modules don't work. Haven't found a language reference yet. edit: it's statically typed ahead of time - that feels like something that needs a detailed description of what it's doing, given the baseline of like-python
What makes it faster than C++?
I see this in the documentation but I am not sure it helps me (not an expert):
> C++? Codon often generates the same code as an equivalent C or C++ program. Codon can sometimes generate better code than C/C++ compilers for a variety of reasons, such as better container implementations, the fact that Codon does not use object files and inlines all library code, or Codon-specific compiler optimizations that are not performed with C or C++.
Do people not know about numba which unlike this project is FOSS and integrates with numpy???
Unfortunately stuff like this never makes it to the upstream. And i am afraid to ask why. We had pypy for years, but never got merged with python. That is why there are still minor incompatibilities between pypy and "The Python", so it's not that useful as it might have been if it got merged with cpython at some point.
But Python core developers value keeping "not breaking anyones code" (Python 3 itself was a huge trip on that aspect and they're not making that mistake again), that's why things may seem slow on their end. But work is being done, and the results are there if you benchmark things.
[0] See https://github.com/faster-cpython/ideas/blob/main/FasterCPyt... however that's over a year old already and I'm sure I've read/heard more specifics
> "...typically on par with (and sometimes better than) that of C/C++" What makes it faster than C++? I see this in the documentation but I am not sure it helps me (not an expert): > C++? Codon often generates the same code as an equivalent C or C++ program. Codon can sometimes generate better code than C/C++ compilers for a variety of reasons, such as better container implementations, the fact that Codon does not us…