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Jupyter magics and kernels for working with remote Spark clusters
...Sparkmagic interacts with remote Spark clusters through a REST server. Automatic visualization of SQL queries in the PySpark, Spark and SparkR kernels; use an easy visual interface to interactively construct visualizations, no code required. Ability to capture the output of SQL queries as Pandas dataframes to interact with other Python libraries (e.g. matplotlib). Send local files or dataframes to a remote cluster (e.g. sending pretrained local ML model straight to the Spark cluster) Authenticate to Livy via Basic Access authentication or via Kerberos.
The extensor, is a assembly of programs and independent libs (-
nostdinc) at the moment for DJGPP, but thought for others GCC-i386. By means of this kit it is possible to construct a operating
systems or a program boot from the BIOS (i386 embedded syste