"Why is Python slow?

A while back, I did this comparison.

It's been a while, and I decided to look this over again.

Specifically, this time around I was able to:

Add nuitka for Python 3.5
Rename the two numba's to cpython?+numba-object. It turns out this is the slow way of doing numba.
Add cpython?+numba-nopython. This is the fast way of doing numba.
Use C math instead of Python math in the two (2.x and 3.x) cython "type" versions.

The results follow:

Speed. Normalized to where g++ is "1.0". Lower is better.	Language/Implementation
1.000000	g++-t
1.007000	clang++-t
1.142000	shedskin-t
1.301000	cython2_types_t
1.381000	cython3_types_t
1.898000	pypy3-t
2.019000	pypy-t
2.041000	cpython3+numba-nopython-t
2.055000	cpython2+numba-nopython-t
3.486000	nuitka2-t.exe
3.871000	cython2-t
4.251000	cpython2-t
4.664000	cython3-t
4.707000	nuitka3-t.exe
5.086000	cpython3-t
5.485000	cpython2+numba-object-t
5.705000	cpython3+numba-object-t

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Timestamp: 2024-11-23 13:28:14 PST

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