![]() ![]() In real-time, PySpark has used a lot in the machine learning & Data scientists community thanks to vast python machine learning libraries. PySpark is a Spark library written in Python to run Python application using Apache Spark capabilities, using PySpark we can run applications parallelly on the distributed cluster (multiple nodes). Main difference is pandas DataFrame’s are not distributed and runs on single node.īefore we jump into the PySpark tutorial, first, let’s understand what is PySpark and how it is related to Python? who uses PySpark and it’s advantages. If you are working with smaller Dataset and doesn’t have Spark cluster, still you wanted to get benefits similar to Spark DataFrame, you can use Python pandas DataFrames.
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