The pandas Library

Pandas is the Python library that handles data on all fronts. Pandas can import data, read data, and display data in an object called a DataFrame. A DataFrame consists of rows and columns. One way to get a feel for DataFrames is to create one.

In the IT industry, pandas is widely used for data manipulation. It is also used for stock prediction, statistics, analytics, big data, and, of course, data science.

In the following exercises, you will be working with DataFrames and learning different computations that are available with them.

Exercise 134: Using DataFrames to Manipulate Stored Student testscore Data

In this exercise, you will create a dictionary, which is one of many ways to create a pandas DataFrame. You will then manipulate this data as required. In order to use pandas, you must import pandas, which is universally imported as pd. Pandas and NumPy are so omnipresent it's a good idea to import them first before performing any kind of data...