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This talk is an introduction to automatic differentiation with a focus on the Python and Julia ecosystems. We will first explain what autodiff is and how it works, then describe its various implementations in both languages. Our goal is to give everyone a good understanding of how computer code can be differentiated, while also discussing the trade-offs this differentiability entails.
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
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