Data is the new Oil. This statement shows how every modern IT system is driven by capturing, storing and analyzing data for various needs. Be it about making decisions for business, forecasting weather, studying protein structures in biology or designing a marketing campaign. All of these scenarios involve a multidisciplinary approach of using mathematical models, statistics, graphs, databases and of course the business or scientific logic behind the data analysis. So, we need a programming language which can cater to all these diverse needs of data science. Python shines bright as one such language as it has numerous libraries and built-in features which makes it easy to tackle the needs of Data science.