There are a wide variety of libraries available that are used to perform tasks in Python. However, we shall be looking at three main libraries that are used in Python. These are the pandas library, the NumPy library and the matplotlib library. The pandas library is mostly used for data manipulation and cleaning the data set, removing duplicates, adding values, adding row names, column names, and many more operations like this. It's basically a package for data structures and data analysis. The NumPy library is Moreover, a mathematical library, which is a package for scientific computing there are so many different financial formulas like present value, future value, net present value and many more available through the NumPy library. And there are so many other libraries that are built on top of the NumPy library, meaning the options available in a numpy library are also available in the other libraries that are built on top of NumPy. Finally, the matplotlib library, the name gives it, it's a plotting library, it plots to three 3d and contour and so many other different charts in Python. Why do we use Python for plotting in comparison to Excel because when we have a massive data set Exel can't open it, it's really hard to open the data set an Exel, so we can import the data set into Python and perform the tasks. In addition, not just Exel there are so many other databases like SQL and data forms from other programming languages that can be imported into Python to visualise the data to know more about it.