The first step is to **import** the `nltk` library into our Python environment. This is your gateway to a plethora of text processing tools and techniques that NLTK offers.

Once `nltk` is successfully imported, we will take an important step in our project - defining the text that we will analyze and process. For this purpose, we'll be using a variable named `story`. This variable will **hold the textual data** that you wish to work on. It could be any piece of text - a short story, an excerpt from a book, a paragraph of your choice, or even a collection of sentences that you're interested in analyzing. 

> **Note**
>
> The first task's tests are tailored to function with the initial text provided. Therefore, if you choose to use a different text for analysis, it's okay to disregard any errors that might arise from the initial test.

> **Note**
>
> If you want to use `nltk` on your computer, you need to install it first using the following command:
>```
>pip install nltk
>```

In this project, we will be utilizing the capabilities of the Natural Language Toolkit (NLTK), a versatile and comprehensive library in Python designed for working with human language data.

Natural Language Handling

Import NLTK

Task