how to fill null values and drop null values in pyspark,sql and scala
Briefly

PySpark, SQL, and Scala offer methods to handle null values, including filling them with specified values and dropping rows or columns with null values.
In PySpark, null values in a column can be filled using withColumn() and when() functions, or dropped using dropna().
SQL provides COALESCE() for filling null values in a specific column and WHERE statements for dropping rows with null values.
Scala's DataFrame allows filling nulls with fill() and dropna() functions for handling null values.
Read at Medium
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