If the C variant needs x hours less, then I'd invest that time in letting the algorithms run longer/again

"invest" isn't the right word here.

  1. Build a working implementation in Python. You'll finish this long before you'd finish a C version.

  2. Measure performance with the Python profiler. Fix any problems you find. Change data structures and algorithms as necessary to really do this properly. You'll finish this long before you finish the first version in C.

  3. If it's still too slow, manually translate the well-designed and carefully constructed Python into C.

    Because of the way hindsight works, doing the second version from existing Python (with existing unit tests, and with existing profiling data) will still be faster than trying to do the C code from scratch.

This quote is important.

Thompson's Rule for First-Time Telescope Makers
It is faster to make a four-inch mirror and then a six-inch mirror than to make a six-inch mirror.

Bill McKeenan
Wang Institute

Answer from S.Lott on Stack Overflow
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Are there any libraries that can easily convert Python to C/C#/or C++? Ones where a person doesn't have to "calibrate" it, just, pip install library and then they can have their Python code in C,C#,or C++?
The closest thing to what you're asking for would be Cython, which is a mostly-superset of Python and generates C code. Nuitka is similar, except that it also compiles said code into binaries. Although if you're expecting said C code to be easy to read, I'm afraid you'll be sorely disappointed. I'm not sure why you listed C# here, considering it's very different from either of the other two you mentioned. Why would you want a Python-to- transpiler anyway? If you want more performance, just write the performance critical parts in C or Rust in the first place, then have Python access them via CFFI. More on reddit.com
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Is there anything to translate Python to C code?
Hi, I am looking for a transpiler that converts Python into C, not something like in Cython where it gets transpiled to an extenion? More on discuss.python.org
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Codex converting Python to C++
Experimenting around with Codex Code Translation :slight_smile: More on community.openai.com
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A python program to convert C codes to python codes
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%%cython -a def cy_fib(n): a = 0 b = 1 for i in range(n): a, b = a+b, a return a ... /* Python wrapper */ static PyObject *__pyx_pw_46_cython_magic_528bf20b2b08731268ded912e73e4c00_1cy_fib(PyObject *__pyx_self, PyObject *__pyx_v_n); /*proto*/ static PyMethodDef __pyx_mdef_46_cython_magic_528bf20b2b08731268ded912e73e4c00_1cy_fib = {"cy_fib", (PyCFunction)__pyx_pw_46_cython_magic_528bf20b2b08731268ded912e73e4c00_1cy_fib, METH_O, 0}; static PyObject *__pyx_pw_46_cython_magic_528bf20b2b08731268ded912e73e4c00_1cy_fib(PyObject *__pyx_self, PyObject *__pyx_v_n) { PyObject *__pyx_r = 0; __Pyx_RefNanny
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Numba, a Python extension that features a JIT compiler for a subset of the language, based on the LLVM compiler infrastructure (probably best known for its clang C compiler). It mostly targets numerical code that uses NumPy. ... Cons: limited language support, relatively large runtime dependency (LLVM), non-obvious performance results · Pythran, a static Python-to-C++ extension compiler for a subset of the language, mostly targeted at numerical computation.
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