I have posted the text of our proposal on figshare
https://figshare.com/articles/online_resource/SymPy_CZI_EOSS_Round_4_Application_pdf/16590053.

Aaron Meurer

On Tue, Aug 31, 2021 at 10:51 AM Aaron Meurer <[email protected]> wrote:
>
> Hello all.
>
>
> I am very happy to announce that the Chan Zuckerberg Initiative (CZI) has 
> awarded an Essential Open Source Software for Science (EOSS) cycle 4 grant to 
> the SymPy project 
> https://chanzuckerberg.com/eoss/proposals/sympy-improving-foundational-open-source-symbolic-mathematics-for-science/
>
>
> The Chan Zuckerberg Initiative was founded in 2015 to help solve some of 
> society’s toughest challenges — from eradicating disease and improving 
> education, to addressing the needs of our local communities. Their mission is 
> to build a more inclusive, just, and healthy future for everyone. CZI’s 
> Essential Open Source Software for Science program supports software 
> maintenance, growth, development, and community engagement for open source 
> tools critical to science.
>
>
> The grant will be for two years, and will focus on three key areas of 
> improvement in SymPy: performance, documentation, and code generation. Oscar 
> Benjamin will be working half time to improve the performance of SymPy. This 
> will be achieved in two ways: firstly, by using faster algorithms and data 
> structures, and secondly, by optionally interfacing with libraries such as 
> FLINT (via python-flint) and SymEngine that are written in C and C++ and are 
> designed to be as fast as possible.
>
>
> I will be working half time on documentation. As many of you know, SymPy is 
> quite large with over 1000 public functions and methods, but the 
> documentation for parts of SymPy is often lacking. Particularly lacking are 
> high-level user guides and tutorials. My work will focus on writing new 
> documentation, with a focus on these high-level things.
>
>
> Finally, Jason Moore at TU Delft will be hiring one postdoc full time for one 
> year to work on numerical code generation. SymPy is already able to convert 
> symbolic expressions into equivalent numerical code for many languages and 
> frameworks, including C, C++, Fortran, Julia, Rust, Tensorflow, PyTorch, and 
> more. The postdoc will work on improving the numerical stability of the 
> generated code, as well as improving support for more complex expressions. 
> The code generation work will be targeted towards performance critical 
> musculoskeletal models, part of Jason’s research in Biomechanical Engineering 
> at TU Delft. If you or someone you know may be interested in this position, 
> we will be sharing a job posting in the coming months.
>
>
> We would like to thank the Chan Zuckerberg Initiative for this wonderful 
> opportunity. We believe this direct funding of SymPy development will 
> drastically improve the library and the ecosystem surrounding it.
>
>
> Aaron Meurer

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