Hyukjin Kwon - Demystifying pandas with PySpark when scaling out | PyData Vermont 2024

preview_player
Показать описание

In this talk, we'll explore effective strategies for scaling pandas workloads using PySpark. We'll delve into techniques such as the Pandas API on Spark, Python UDFs, Pandas UDFs, and Pandas Function APIs. In addition, this talk covers how to manage dependencies and environment setup seamlessly when transitioning to distributed PySpark cluster, providing insights into optimizing performance and leveraging PySpark features for seamless integration with pandas workflows.

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.

00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.