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GSoC 2026 Applicant Introduction — Cheela Akhil #2559
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You should read https://github.com/arviz-devs/arviz/wiki/GSoC-2026-projects carefully. The feature parity project was last year's project idea. This year it is not available because it makes no sense; as you'll see if you look at the docs, all the plots you mention have already been implemented. |
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Hi ArviZ community! 👋 I'm a 2nd year BTech student from DYP Agricultural and Technical University, Talsande, India. I'm really interested in contributing to open source and have a strong interest in machine learning. I have basic experience with Python and am currently learning libraries like NumPy, Pandas, and Matplotlib. I would love some guidance on how to get started with contributing to ArviZ. Could you please suggest beginner-friendly issues or areas (like documentation or small bugs) where I can begin? Thank you for your time and support! Looking forward to contributing 😊 |
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Hi ArviZ community! 👋 I'm Cheela Akhil, a 3rd year BTech student from Institute of Aeronautical Engineering, Hyderabad, India.
I'm applying for GSoC 2026 with ArviZ under NumFOCUS for the Feature Parity for ArviZ-Plots project (plot_ppc, plot_rank, plot_rank_ecdf, plot_parallel).
My skills: Python, NumPy, Pandas, Scikit-learn, TensorFlow, Matplotlib. GitHub: github.com/cheelaakhil
I've already submitted PR #465 fixing the matplotlib.style.core deprecation issue (#453). Looking forward to contributing more!
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