For string formatting, it would be better to use a dataset that's a little messier. We will use the dataset that I collected during my Ph.D. research study when writing a review paper. It can be found here: https://raw.githubusercontent.com/sureshHARDIYA/phd-resources/master/Data/Review%20Paper/preprocessed.csv. 

1. Let's load this text article and then display the first eight entries. Let's start by loading the data and checking its structure and a few of the comments, as follows:

import numpy as np
import pandas as pd
import os

2. Next, let's read the text file and display the last 10 items, as follows:

text = pd.read_csv("https://raw.githubusercontent.com/sureshHARDIYA/phd-resources/master/Data/Review%20Paper/preprocessed.csv")
text = text["TITLE"] 
print (text.shape)
print( text.tail(10))

3. The output of the preceding code can be seen in the following screenshot:

Pandas extends built-in functions that operate on an entire series of strings. In the next section, we are going to use the same dataset with pandas string functions.