On Saturday, May 22, 2021 at 8:39:26 PM UTC+8 sandona...@gmail.com wrote:

> Hello,
>
> I'm not really sure if those functions are implemented into SymPy yet. You 
> should check out the documentation: search for example "discrete transform" 
> or "Fourier transform".
>
> In Mathematica, symbolic and numeric computations go hand in hand. The 
> Python ecosystem is very different in that regard. As you surely know there 
> are many libraries, each one targeting a specific topic and sometimes one 
> library is unaware of the others. For example, SymPy is about symbolic 
> computation, Numpy is about numeric array/matrices computations, Scipy 
> offers a great number of tools useful for engineering and scientific 
> computation, and so on... Is it possible that SymPy is not the right 
> library to achieve your goals? If you are able to formulate your problem in 
> a numerical way (instead of a symbolic approach), you could look at the 
> following Scipy documentation page: 
> https://docs.scipy.org/doc/scipy/reference/fft.html
>

Thank you very much. It does include so many Fourier transformations, 
especially, the ones I mentioned are list here: 
<https://docs.scipy.org/doc/scipy/reference/fft.html#discrete-sin-and-cosine-transforms-dst-and-dct>.

HY 


> Davide.
>
>
> Il giorno sab 22 mag 2021 alle ore 13:56 hongy...@gmail.com <
> hongy...@gmail.com> ha scritto:
>
>> Wolfram Mathematica has so many Fourier transform relevant functions, 
>> say, FourierDST, FourierDCT, and so on. I'm currently learning the notes 
>> written by Dr. Roman Schmied 
>> <https://arxiv.org/search/quant-ph?searchtype=author&query=Schmied%2C+R> 
>> <https://arxiv.org/e-print/1403.7050>, where all examples are encoded in 
>> Mathematica, but I want to find the python based implementation. 
>>
>> The biggest barrier to converting the Mathematica codes into its 
>> counterpart in python, say, with sympy, is the corresponding realization of 
>> various advanced complex functions in both.
>>
>> Any hints for this problem will be highly appreciated.
>>
>> Regards,
>> HY
>>
>>
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