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Install PySpark, import the `pyspark` package, and create a Spark session. Load your data from cloud storage or HDFS. Use PySpark's DataFrame API to perform data manipulation operations like `select()`, `filter()`, `groupBy()`, and `agg()`. PySpark handles the distribution of the processing tasks across the cluster, letting you work with datasets that would be impossible to manage in a local Pandas environment.
