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.
Answer from S.Lott on Stack OverflowThompson'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
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++?
Is there anything to translate Python to C code?
Python to C converter / interpreter - Stack Overflow
Use Cython as Python to C Converter - Stack Overflow
Is the Python to C converter free?
Is the Python to C++ converter free?
How do I convert Python to C using CodeConvert AI?
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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.
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++?
- Yes, at its core this is what Cython does. But ...
- 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 onlibpythonwhile 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).
If C++ is available for that embedded platform, there is shed skin, it converts python into c++.