Simplifying Training Deep & Serving Learning Models with Big Data in Python using Tensorflow

Debugging PySpark -- Or trying to make sense of a JVM stack trace when you were minding your own bus

Beam and Spark with Holden Karau: GCPPodcast 126

Keynote: Making the Big Data ecosystem work together with Python: Apache Arrow, Spark, Beam, and Dask

Improving PySpark Performance: Spark performance beyond the JVM

The Magic Behind PySpark, how it impacts perf & the "future"

Debugging PySpark - Pretending to make sense of JVM stack traces

Improving PySpark Performance Spark performance beyond the JVM

Improving PySpark Performance: Spark performance beyond the JVM

Sparkling Pandas- Letting Pandas Roam on Spark DataFrames

A brief introduction to Distributed Computing with PySpark

Sparkling Pandas - using Apache Spark to scale Pandas