Status of Python threading support (GIL removal)?

Stefan Behnel stefan_ml at
Sun Jun 21 06:55:00 EDT 2009

Christian Heimes wrote:
> Hard computations gain more speed from carefully crafted C or Fortran
> code that utilizes features like the L1 and L2 CPU cache, SIMD etc. or
> parallelized algorithms. If you start sharing values between multiple
> cores you have a serious problem.
> Oh, and use NumPy for the job ;)
> It *is* a well known limitation of Python. All the nice 'n shiny syntax
> and features are coming with a cost. Python is a powerful language and
> good tool for lots of stuff. But Python is and will never become the
> übertool that solves every problem perfectly. At some point you need a
> different tool to get the raw power of your machine. C (and perhaps
> Fortran) are the weapons of choice for number crunching.

Well, and there's always Cython to the rescue when you need it.


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