Thank you for running this survey and writing up the analysis.

Aaron Meurer

On Mon, Nov 7, 2022 at 8:57 AM Sam Brockie <sbroc...@g-tudelft.nl> wrote:
>
> Hi SymPy community,
>
> In September and October we ran a survey about SymPy's code generation to 
> help inform my work programme on the topic as part of the CZI grant (see 
> here: https://groups.google.com/g/sympy/c/7NOBPopo-9s/m/0lWrz19KAQAJ). Thank 
> you very much to everyone who took part.
>
> I have written up the analysis from the survey as a notebook. It can be found 
> here: https://www.sympy.org/sympy-codegen-survey/analysis.html. The source 
> code for the notebook is also available and can be found here: 
> https://github.com/sympy/sympy-codegen-survey.
>
> A total of 24 responses were received. While we acknowledge that this is a 
> relatively small sample size, we believe that it has provided valuable 
> feedback that is representative of the wider SymPy user base.
>
> A high level summary of the responses is provided directly below:
>
> SymPy's codegen is most used in the scientific research domain (specifically 
> mechanics).
> The most common language use case for codegen is doing numeric evaluation 
> from Python.
> lambdify is the most used codegen interface in SymPy.
> When non-Python code is generated, C is the most common language used.
> The most requested features/requests were:
>
> Improved documentation.
> Code generation of derivatives.
>
> Even though the survey is no longer open, we'd still really welcome any 
> feedback about SymPy and code generation.
>
> Once more, thank you very much to everyone who contributed to the survey. 
> Your feedback is really valuable for ensuring that we work on things that 
> will best help the SymPy community.
>
> Sam
>
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