Skip to content

Latest commit

 

History

History
33 lines (23 loc) · 2.5 KB

File metadata and controls

33 lines (23 loc) · 2.5 KB

UCLA OARC/IDRE Workshop Series "Python for High Performance Data Analytics"

MIT license

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.

This folder contains the PDF slides and colab demos for the "Python for High Performance Data Analytics" workshop series hosted by UCLA OARC.

The lecture contents are currently updated for Feb 2025.

(1) Computation

(2) Array-Type Data

  • When: Feb 28, 2025 10am-12:00pm (PST)
  • Please register to the Zoom meeting before joining
  • Open In Colab – for Looping speedup tricks demo
  • Open In Colab – for NumPy/Pandas speedup demo
  • Open In Colab – for Dask examples demo
  • Open In Colab – for Vaex examples demo
  • Open In Colab – for Pandas/Polars examples demo
  • Open In Colab – for Pandas/Polars/Fireducks/cuDF examples demo
  • Slides
  • Survey

Instructor: Qiyang Hu