This is because Python must constantly convert back and forth between its own object types and the machine’s raw numerical types. Now consider the Cython version of the same code: import cython ...

The above code, using pure Python mode, would look something like this: import cython @cython.cfunc def f(x: cython.double) -> cython.double: return x**2 - x def integrate_f(a: cython.double ...

Cython* is a superset of Python* that additionally ... lpython2.7 -o multithreads.so After the shared object is generated. Python code can import this module to take advantage of thread parallelism.