Скачать или смотреть Arkouda Bulletin: A Year of Progress in Exploratory Data Analytics at Scale | ChapelCon '25

Presentation by Amanda Potts and Engin Kayraklıoğlu at ChapelCon '25.

Slides for this talk are available at: https://chapel-lang.org/ChapelCon/202...

Arkouda (https://arkouda-www.github.io/) is an open-source, NumPy-like framework for distributed exploratory data analysis (EDA), built on a Chapel backend, with growing support for pandas-like data structures and operations. Over the past year, the project has matured substantially through major architectural improvements, expanded data type support, and closer alignment with the evolving NumPy 2.0 ecosystem. These updates enhance expressiveness, performance, and reliability for large-scale, interactive data science workflows. We will begin with a general introduction to Arkouda and highlight recent use cases and success stories. Given the number of Arkouda-related talks at past ChapelCon events, the remainder of the session will focus on key improvements made since the last ChapelCon.