I read those two blog posts, and found very few technical details. On Sun, Sep 8, 2019, 1:30 PM Mark @pysoniq <m...@pysoniq.com> wrote:
> Antoine, > > In response to "You should provide a detailed technical of your solution." > > The automatically created ctypes wrapper is one of the keys of the > project. Blog entries 1 & 2 are a very detailed and technical discussion > of the ctypes wrapper. > > If you go to Speed Metrics and read over the first entry -- Complex Calc > -- you will find the Python source code as well as the assembly language > output (Download pdf of Complex_Calc_asm). So you have the Python source. > You have the 575 lines of NASM (assmbly language code). In addition, blog > entries 3-5 discuss optimization in detail, and precisely how Complex_Calc > was speeded up 63 times faster than Python. It is quite detailed and > technical! > > Also, all of the other metrics have the Python source code. > > Mark > _______________________________________________ > Python-ideas mailing list -- python-ideas@python.org > To unsubscribe send an email to python-ideas-le...@python.org > https://mail.python.org/mailman3/lists/python-ideas.python.org/ > Message archived at > https://mail.python.org/archives/list/python-ideas@python.org/message/HUFSAQSEZTKH72SF77DG2Q2NQ6TLYG4T/ > Code of Conduct: http://python.org/psf/codeofconduct/ >
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