Speed up DS with big data: Pandas API right in Apache Spark Th | Big Data Science

Speed up DS with big data: Pandas API right in Apache Spark
The popular computing framework Apache Spark allows you to write programs in Python, which is familiar to every DS-specialist. PySpark now includes a pandas library that can be imported with just one line: import pyspark.pandas as ps.
This provides the following benefits:
• lowers the threshold for entering Spark;
• unifies the codebase for small and big data, local machines and distributed clusters;
• speeds up Pandas code.
By the way, Pandas on Spark is even faster than the other popular Python engine, Dask!
https://spark.apache.org/docs/latest/api/python/user_guide/pandas_on_spark/index.html
https://towardsdatascience.com/run-pandas-as-fast-as-spark-f5eefe780c45
https://databricks.com/blog/2021/10/04/pandas-api-on-upcoming-apache-spark-3-2.html