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> On 7 Sep 2019, at 22:19, Mark @pysoniq <m...@pysoniq.com> wrote:
> 
> Hello to the list,
> 
> I have an idea for Python that is non-traditional in that it doesn’t extend 
> or modify existing Python language structure.  
> 
> The idea uses Python to translate Python, entirely under program control,  
> directly to optimized assembly language .dll or .so files, called 
> “extensions.”   
> 
> Extensions are called from Python using Python’s ctypes interface.  The 
> ctypes wrapper for each extension is created automatically.    
> 
> The goal of this idea is for Python to perform as fast or faster than C or 
> C++, without leaving Python.  
> 
> Details:  
> 
> 1.    Large project – now 23,556 lines of Python.
> 
> 2.    Evolved from a project that automatically translated APL to assembly 
> language dlls -- more than 30,000 hours of development in APL and assembly 
> language.  
> 
> 3.    Solves the tremendous problem of coding assembly by hand.  
> 
> 4.    Point-and-click interface.
> 
> 5.    Ahead-of-time compilation.
> 
> 6.    Python translated directly to assembly language – no third-party 
> compiler (GCC, LLVM, Clang, etc.) or intermediate representation.
> 
> 7.    Advanced assembly language optimizations:  registers, SIMD, multicore, 
> loop fusion, loop unrolling, etc., custom-fitted to Python.
> 
> 8.    No Global Interpreter Lock issues – ctypes releases the GIL.  
> Extensions have full use of all threads and cores. 
> 
> 9.    NumPy and SciPy functions, as well as Python built-in functions and 
> built-in library functions, translated directly to optimized assembly 
> language to avoid expensive Python callbacks.
> 
> 10.    Memory safe:
> 
>    a.    controls buffer access and frees every memory pointer when the 
> extension returns from assembly to Python 
> 
>    b.    handles bounds checking on variables and arrays passed into the 
> extension by ctypes
> 
>    c.    extensions will not encounter errors such as buffer overflows, 
> buffer over-reads, or memory race conditions
> 
>    d.    handles recursive programs with its own stack, thus avoiding stack 
> exhaustion for recursive programs
> 
> More details at https://PysoniQ.com: 
> 
>    A video demonstration 
> 
>    Try out the point-and-click interface at the “Try PysoniQ” link
> 
>    A detailed Project Overview 
> 
>    Technical FAQs 
> 
>    Blog and speed metric links for deeper analysis of the technologies
> 
>    Downloadable PDFs – see the Resources link
> 
> Any comments from the Python community on this project would be most 
> appreciated!
> 
> Thank you.
> 
> Mark
> m...@pysoniq.com
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