On Thu, Feb 11, 2021 at 4:35 AM Mr Flibble <flib...@i42.removethisbit.co.uk> wrote:
> > Hi! > > I am starting work on creating a new Python implementation from scratch > using "neos" my universal compiler that can compile any programming > language. I envision this implementation to be significantly faster than > the currently extant Python implementations (which isn't a stretch given > how poorly they perform). > I'd like to encourage you to give this a go. It's a huge task, but it's needed. You may be interested in the approaches of Pypy, Cython, Shedskin and Nuitka. Pypy is a Python written in RPython, where RPython is a restricted subset of Python 2. It can translate RPython to C, or JIT compile pretty full Python code - 2.x or 3.x. It has trouble with C extension modules, as the CPython API for extension modules is pretty leaky. CFFI appears to be the big hope of fixing this problem, but most C extension modules still use the CPython C extension Module API. Cython transpiles a Python-like language to C. It allows you to intermix Python datatypes and C datatypes; the more you use C datatypes, the faster the result is. It can be slower if you aren't careful with your type conversions, but it can be faster if used well. It has a really nice --annotate option that shows how close to C your program is, line by line. Shedskin transpiles an implicitly static subset of Python 2 to C++. It's a great tool, but sadly it is unlikely to make the jump from Python 2 to Python 3, and Python 3 is definitely the future of Python. Nuitka is a Python -> C/C++ transpiler. I know little about it, but it sounds kind of like what you're proposing. It's been focusing on compatibility first, followed by performance. Good luck! -- https://mail.python.org/mailman/listinfo/python-list
