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Hey Geeks, Operations on Pyspark run faster than Python pandas due to its distributed nature and parallel execution on multiple cores and machines. In other words, pandas run operations on a single node whereas PySpark runs on multiple machines. If you are working on a Machine Learning application where you are dealing with larger datasets it’s a good option to consider PySpark. PySpark processes operations many times faster than pandas. If you are new to this playlist then please watch out the below playlist completely. https://www.youtube.com/watch?v=uvrrN8aqZW0&list=PLxy0DxWEupiNjGSv1hzRFBXgSzV-bZu94 Full Playlist of Interview Questions of SQL: ✅https://www.youtube.com/watch?v=XZHp-u5QzYE&list=PLxy0DxWEupiOU8M_GkSTYOMLB7Q9pAAZe Full Playlist of Snowflake SQL: ✅https://www.youtube.com/watch?v=no5VjmmPDGc&list=PLxy0DxWEupiP3oJralHpT8SjtdBY0BpYR Full Playlist of Golang: ✅ https://www.youtube.com/watch?v=F3Wg2dYPh_U&list=PLxy0DxWEupiMckHLAJGQuHpYkKqYhqCZ5 Full Playlist of NumPY Library: ✅ https://www.youtube.com/watch?v=F3Wg2dYPh_U&list=PLxy0DxWEupiMckHLAJGQuHpYkKqYhqCZ5 Full Playlist of PTQT5: ✅ https://www.youtube.com/watch?v=NcATA... Full Playlist of Pandas: ✅ https://www.youtube.com/watch?v=DKTcf6Wyuck&list=PLxy0DxWEupiP86ruA3QWoBG1Rb0b1BH4n YouTube Link: https://www.youtube.com/channel/UCj4qaXEHCD82DiLhKdZjX6g Instagram: https://www.instagram.com/prajaji/ #databricksforbeginner #apachespark #pandastutorial
