My name is Shuvro Bhattacharjee. I’m a 4th-year Computer Science and 
Engineering student from Bangladesh, and I’m very interested in 
contributing to SymPy for GSoC 2026.

 I’ve been exploring the project ideas and the one that stands out to me is 
*"Classical 
Mechanics: Efficient Equations of Motion Generation."* I’m particularly 
interested in this because it combines my background in Python with my 
interest in performance optimization.
 I’ve been experimenting with the solver and noticed that some expressions 
(like those with high-degree float exponents) can take a long time to 
process. It made me curious about how we can use profiling to find 
bottlenecks in the Mechanics package, especially when generating Kane's or 
Lagrange's equations.  
Also I’ve been looking into the sympy.physics.mechanics module and how it 
handles Kane’s and Lagrange’s methods.

I would appreciate your guidance on how best to get started.

Thank you for your time . I look forward to contributing to Sympy.

  Best regards, 

  Shuvro Bhattacharjee  

   1. 
   
   Best regards,
   Shuvro Bhattacharjee
   2. 



   1. 
   
   Best regards,
   Shuvro Bhattacharjee
   2. 


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