Kafka Stream Processing with Python - A Walkthrough

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Quix Streams is an open source Python library for processing data in Apache Kafka. Designed around the principle of DataFrames (tabular representation of streaming data), it helps teams build real-time data pipelines for ML and analytics, by simplifying the transition from batch-based processing using libraries like Pandas to stream-based processing Best in class Python developer experience with pure Python, no JVM, no wrappers around other languages, and no cross-language debugging. It allows developers to utilize the full Python ecosystem. It’s stateful, fault-tolerant and promotes best practices to quickly deploy and scale out for production. To learn more you can 1. Follow/star the repo: https://github.com/quixio/quix-streams 2. Join the Slack community: https://quix.io/slack-invite 3. Visit: https://quix.io/