Contributing to NumPy
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Add to calendar · Downloads an .ics file · Times are in America/Chicago · Google Calendar
NumPy is at the heart of scientific computing in Python, powering everything from data analysis to machine learning. But have you ever wondered how you can contribute to the library itself?
In this talk, we'll explore how NumPy is developed and maintained, how to navigate its codebase, and how to get involved in its open-source community. We'll walk through finding issues, contributing documentation, writing tests, reviewing pull requests, and submitting your first contribution.
Whether you're an experienced Python developer or someone looking to make their first open-source contribution, this session will show you that contributing to NumPy is more accessible than you might think.
Pizza will be provided.
PyData St. Louis is part of the global PyData community. PyData is an educational program of NumFOCUS, a nonprofit organization that promotes open practices in research, data, and scientific computing.
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