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After Jupyter is up and running, what remains is to download, configure, and deploy the ArchiveSpark kernel. This Jupyter kernel supplied by authors of ArchiveSpark is essentially a set of Python startup + configuration scripts allowing a simpler framework setup. At the time of this report the kernel is only compatible with the latest Spark 2.x. ................
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