Hello community,
I am considering applying to GSoC 2026 to work under the sympy org. An idea which I've taken an interest in and explored a bit is
extending manualintegrate. I have gone through the code and the run the test cases to see where manualintegrate is used and I believe I have a decent idea of the flow of control which leads to calls to manualintegrate.
In particular, I noticed that solving issues like
Issue 16396 which are addressed in test_failing_integrals.py, which should be easy for a student to calculate using change of variables and integration identities could be a target for the project. An ambitious target could also be to be able to compute the antiderivative analytically like it is done
over here. I believe they use a combination of manual identities and a complete implementation of Risch algorithm, which is also something I would be interesting in going for in case there are ideas around it.
I have my dev environment set up and I have submitted 2 bug-fixing PRs to sympy in the past. I don't have a college math background to be able to understand stuff like Risch algorithm well, but I am open to learning. Due to time constraints, I would prefer to take on a 90-hour project.
I would appreciate guidance from the community on how best to proceed from here.
Thanks and regards,
ButteryPaws (on github).