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I have huge Python modules(+8000 lines) .They basically have tons of functions for interacting with a hardware platform via serial port by reading and writing to hardware registers.

They are not numerical algorithms. So application is just reading/writing to hardware registers/memory. I use these libraries to write custom scripts. Eventually, I need to move all these stuff to be run in an embedded processor on my hardware to have finer control, then I just kick off the event from PC and the rest is in hardware.

So I need to convert them to C.If I can have my scripts be converted to C by an automatic tool, that would save me a huge time. This is why I got attracted to Cython. Efficiency is not important my codes are not number crunchers. But generated code should be relatively small to fit in my limited memory (few hundreds of Kilobytes).

Can I use Cython as converter for my custom Python scripts to C? My guess is yes, in which case can I use these .c files to be run in my hardware? My guess is not since I have to have Cython in my hardware as well for them to run. But if just creates some .c files, I can go through and make it standalone since code is not using much of features of Python it just use it as a fast to implement script.

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  • Has anyone had any success actually doing this? I feel this would be very hard to debug. I really want to do this myself with Cython/PyPy, but this looks like it could be very interesting to test... Commented Jun 16, 2015 at 20:33

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  1. Yes, at its core this is what Cython does. But ...
  2. You don't need Cython, however, you do need libpython. You may feel like it doesn't use that many Python features, but I think if you try this you'll find it's not true -- you won't be able to separate your program from its dependence on libpython while still using the Python language.

Another option is PyPy, specifically it's translation toolchain, NOT the PyPy Python interpreter. It lets you translate RPython, a subset of the Python language, into C. If you really aren't using many Python language features or libraries, this may work.

PyPy is mostly known as an alternative Python implementation, but it is also a set of tools for compiling dynamic languages into various forms. This is what allows the PyPy implementation of Python, written in (R)Python, to be compiled to machine code.

If C++ is available, Nuitka is a Python to C++ compiler that works for regular Python, not just RPython (which is what shedskin and PyPy use).

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So It's a translator that gives you .c ? I thought is specific implementation of python for making it fast.Being fast is not my concern.
Read the answer more closely. PyPy is two things, an implementation of Python, and a Python translator / compiler. You don't want the first, you want the second. The translation toolchain I linked to has details on what you want.
@agf, I cannot figure out how to translate a python program (say hello.py containing one line i=1; print hello, 1) to a c source file that I can look at in an editor and compile with gcc. I'd appreciate if you could help me with an example.
You don't use PyPy to translate Python to C. You use Cython, which was designed for this task. The user does not want to translate RPython to C, which would be a convoluted approach anyway while Cython offers a simple, clear path.
@alcalde I've cleaned up this (very old) answer somewhat; you're right, it was misleading.
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If C++ is available for that embedded platform, there is shed skin, it converts python into c++.

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I heard about ShedSkin but I cant trust it.Cython seems to be more robust and widely used with very positive reviews.
For C++, there's also Pythran.

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