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High Performance Python for Data Analytics (1)

May 17, 2024 @ 10:00 am

While Python has been the most popular programming language since 2019, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series, we’ll tackle how to enhance Python’s performance in data science by diving deep into its workings and leveraging technologies to transform Python into an effective tool for high-performance big data analytics.
In our first 2-hour session, we’ll concentrate on significantly accelerating Python code at the interpreter level. We’ll demystify concepts such as the GIL and JIT and introduce packages like PyPy, Numba, Pythran, and Cython. While there are no strict prerequisites for this lecture, prior programming experience in Python will be advantageous for a complete understanding of the material.

Instructor: Qiyang Hu

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Details

Date:
May 17, 2024
Time:
10:00 am
Website:
https://ucla.zoom.us/meeting/register/tJwlce-orTIjGdQnVCkywrOg_mddNW4v21xZ

Venue

Zoom
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Organizer

Office of Advanced Research Computing (OARC)
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UCLA OARC