Hi all,
My name is Harika Raju, and I am excited to contribute to SymPy as part of GSoC 2025. I am a CS Undergrad with a strong background in Python, C, and mathematical computing, and I am particularly interested in symbolic mathematics and algorithm optimization.
I have experience working with machine learning models, ANN backpropagation, and performance optimizations in Python. Additionally, I have contributed to projects involving AI-based automation and exoplanet simulation. My Chronicles of Exoplanet Exploration project was selected as a NASA Space Apps Hackathon Global Nominee.
The project on improving the performance of Kane's and Lagrange's methods in SymPy Mechanics caught my attention, as I am fascinated by equation simplification, computational speed-ups, and symbolic algebra.
I am currently exploring the SymPy Mechanics module and will begin working on a pull request to contribute before submitting my proposal. Looking forward to guidance from the community!
Best,--
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Hi Jason,
Thank you for the details. I’ll start by profiling problem-solving with SymPy mechanics and identifying bottlenecks. I’ll also review Riccardo’s work from last year’s GSoC to understand the progress made on speeding up differentiation.
If there are any specific resources or discussions related to this, please let me know. I’ll keep you updated on my findings.
Best,
Harika
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