Integrating Scala Java with your Python code
summary
Claims an easy interop technique and a new library spylon that lets Python talk to the JVM without full rewrites, using py4j and standard JVM tooling. Demonstrations compile Scala via SBT, start a JVM subprocess, call java.util.Random and Scala singletons, convert lists/maps, and add notebook progress bars for Apache Spark. The code runs in the demo, conversions and RPC proxies work, and the project is young (≈2 months) but functional.
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chapters (10)
- 0:00Scala Java Python integration
- 1:27Python with Java on JVM
- 3:12Py4J for Java integration
- 9:32Scala in Python workflows
- 13:50SpyOn for Scala Python
- 18:27Scala code from Python
- 21:58Serialization trade-offs
- 25:41Spark with Python tooling
- 29:33Future directions
- 31:21Q&A
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