Zoey Han enhanced the apache/spark repository by improving the usability of the PySpark DataFrame API, specifically the withColumn and withColumns methods. She enabled these methods to accept both string column names and Column objects, reducing boilerplate and aligning the API with user expectations. Zoey’s work involved Python programming and DataFrame manipulation, with a focus on robust error handling and comprehensive testing. She updated error messages to reflect the new input types and validated the changes through targeted tests in the pyspark.sql.tests.test_dataframe suite. This contribution addressed a concrete usability issue and demonstrated careful attention to quality and maintainability.