In this video, Ankush Sir explains the withColumn() transformation in PySpark. This function is a fundamental tool for data engineers working with Spark DataFrames. The withColumn() method is used to create a new column or replace an existing one in a DataFrame. Ankush Sir demonstrates how to use this transformation effectively with various examples, including adding new columns, modifying existing columns, and applying functions to columns.
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