Multithreading-in-Python

Problem : Tansforming a large database file to format needed. Data.py : python file created to get input files for all the three cases. Case1.py : In this case data is transformed by transforming a complete column in a single command. Case2.py : In this case each cell is transformed individually. Case3.py : it is the optimised solution for the problem. In this case multithreading is used for a large database file. It breaks down the file into subfiles and perform three functions (extract, transform and load) simultaneously.