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Use julia in jupyter notebook tutorial2/13/2023 ![]() While using Spark, most data engineers recommends to develop either in Scala (which is the “native” Spark language) or in Python through complete PySpark API. I wrote this article for Linux users but I am sure Mac OS users can benefit from it too. ![]() That’s why Jupyter is a great tool to test and prototype programs. It allows you to modify and re-execute parts of your code in a very flexible way. Jupyter Notebook is a popular application that enables you to edit, run and share Python code into a web view. In a few words, Spark is a fast and powerful framework that provides an API to perform massive distributed processing over resilient sets of data. Spark with JupyterĪpache Spark is a must for Big data’s lovers. ![]()
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