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Jake VanderPlas

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titleconferencedate
Intro to JAX: Accelerating Machine Learning researchGoogle's Machine Learning Virtual Community Day 20212021-11-09
JAX traces Python numerical functions into a jaxpr intermediate representation, applies composable transforms like grad, jit and vmap to automatically…
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Performance Python: Seven Strategies for Optimizing Your Numerical CodePyCon 20182018-05-11
Seven concrete tactics for speeding numerical Python with a K‑means case study line profiling shows label computation takes 93% of time and vectorizing with…
Talk on
Keynote – Jake VanderPlasPyData Seattle 20172017-06-30
A concise roadmap: Python evolves from scripting to the PyData era with pandas (2009–2011) as a turning point; Conda resolves cross‑platform installs and…
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