If real world data-sets contain numeric, texts, alpha-numeric, time-stamps, and various other unstructured data types, then how does one store, retrieve and easily manipulate these multidimensional data-sets? The answer is a data science library like Pandas! Pandas is a powerful data analysis toolkit with high-performance and easy-to-use data structures. Unlike Excel and SQL, it carries a host of useful tools, methods and other functionalities that set it apart when it comes to row-wise and column-wise data manipulations. We will visit these functionalities in this tutorial.