There are several scala kernels available for jupyter.
This talk will explain the design goals of one of them (jupyter-scala) and how it compares against other scala kernels (Apache Toree, Livy and jupyter-scala).
We will show how the Python Spark bindings (PySpark) work via py4j.
Spylon-kernel builds on this by providing a pure python kernel using the same interoperability layer backed by metakernel.
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