The `pyspark.sql.types.Row` class in Python's PySpark library represents a row of data in a DataFrame or Dataset. It is similar to a tuple or a record, allowing you to access data by column names or indexes. Rows are immutable and can contain various data types such as integers, strings, boolean values, or even nested data structures. Rows are commonly used for representing structured data in distributed processing and analysis frameworks such as Apache Spark, enabling efficient data manipulation and transformation operations.
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