Data scientists and data engineers love Python for transforming, filtering, and processing data to train and deploy analytic models with frameworks such as TensorFlow. However, in real-world deployments, all of these steps require a scalable and reliable infrastructure. This session shows how data experts can use Python for data processing and model inference at scale, leveraging Python, Jupyter, Apache Kafka, and KSQL. Talk from Oracle Code One / Oracle World 2019 in San Francisco.