A. Load the entire Snowflake table into a Pandas DataFrame, apply the Python function to each row using 'DataFrame.apply()', and then write the modified DataFrame back to Snowflake.

B. Use the '%%osql' magic command to execute a series of SQL UPDATE' statements that call the Python function using a IJDF.

C. Create a Snowflake Python User-Defined Function (UDF) that encapsulates the calculation logic and then use it in a 'SELECT statement to create a new column with the calculated values. Store the result in a new table using 'CREATE TABLE AS SELECT

D. Iterate over the rows of the Snowflake table using the Snowflake Connector for Python, call the Python function for each row, and then use "INSERT statements to insert the calculated values into a new table.

E. Create a stored procedure in Snowflake that runs the logic in a separate environment.