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Anaconda prompt5/25/2023 This exercise approximately takes 30 minutes. Kindly follow the below steps to get this implemented and enjoy the power of Spark from the comfort of Jupyter. This article aims to simplify that and enable the users to use the Jupyter itself for developing Spark codes with the help of PySpark. A lot of times Python developers are forced to use Scala for developing codes in Spark. However, it doesn’t support Spark development implicitly. Jupyter is one of the powerful tools for development.
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