Summary
PySpark 3.3 introduces better pandas API support, datetime timedelta support, PyArrow batch interfaces, Python standard string formatters in SQL, inline type hints, and Python and pandas UDF profiling. Future versions of PySpark will add Spark Connect, native NumPy support, source-native indexes, optimized createDataFrame, and feature parity for structured streaming.
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