This sounds great! Congratulations.

Jonathan

Dr. Jonathan Gutow
Chemistry Department
UW Oshkosh
web: https://cms.gutow.uwosh.edu/Gutow
e-mail: [email protected]<mailto:[email protected]>
Ph: 920-424-1326

On Aug 31, 2021, at 11:51 AM, Aaron Meurer 
<[email protected]<mailto:[email protected]>> wrote:


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Hello all.

I am very happy to announce that the Chan Zuckerberg 
Initiative<https://chanzuckerberg.com/> (CZI) has awarded an Essential Open 
Source Software for Science<https://chanzuckerberg.com/eoss/> (EOSS) cycle 4 
grant<https://chanzuckerberg.com/newsroom/czi-awards-16-million-for-foundational-open-source-software-tools-essential-to-biomedicine/>
 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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