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Compile Python to CPython code can make calls directly into C modules. Those C modules can be either generic C libraries or libraries built specifically to work with Python. Cython generates the second kind of module: C libraries that talk to Python's internals, and that can be bundled with existing Python code.
Convert your Python script to C++ Code using OpenAI Codex. Created codex_py2cpp as a way of experimenting with Codex. Python file creates an input prompt which is then fed to OpenAI Codex to generate corresponding C++ code.
The compiled parts are code that it's written directly in C by the CPython developers, and is compiled inside the interpreter when the interpreter is built (other code written in C or other compiled languages can be called by Python if it's compiled in Python extensions or via ctypes).
Python doesn't convert its code into machine code, something that hardware can understand. It actually converts it into something called byte code. So within python, compilation happens, but it's just not into a machine language.
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.
Build a working implementation in Python. You'll finish this long before you'd finish a C version.
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.
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
Yes. Look at Cython. It does just that: Converts Python to C for speedups.
Shed Skin is "a (restricted) Python-to-C++ compiler".
Just came across this new tool in hacker news.
From their page - "Nuitka is a good replacement for the Python interpreter and compiles every construct that CPython 2.6, 2.7, 3.2 and 3.3 offer. It translates the Python into a C++ program that then uses "libpython" to execute in the same way as CPython does, in a very compatible way."
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