What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...
The next step is to produce an input for the user as well as split the file once inserted. file = input("Enter file name: ") name, ext = file.split(".") data = "" We ...
# MAGIC - Demonstrate the similarities of the pandas API on Spark API with the pandas API # MAGIC - Understand the differences in syntax for the same DataFrame operations in pandas API on Spark vs ...
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