> For the complete documentation index, see [llms.txt](https://kgisl.gitbook.io/lab3003/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://kgisl.gitbook.io/lab3003/manual/lab12-frequentwords.py.md).

# Lab 12: Compute the most frequently used words from the text file

## Problem statement

Write a Python program to compute the most frequently used words from the text file.

```
sample input 0: the peacock is the beautiful bird...
sample output 0: the

sample input 1: sea shells is in the sea shore
sample output 1: sea

sample input 2: It is a quite easy program
sample output 2: There are no frequently used words
```

## Solution Key

```python
def word_freq():
    max = 0
    val = ''
    counter = {}
    f = open('animal.txt', 'r')
    contents = f.read()
    words = contents.split()
    for i in range(len(words)):
        words[i] = words[i].strip(',:.;')
        if words[i].lower() not in counter:
            counter[words[i].lower()] = 1
        else:
            counter[words[i].lower()] += 1
    for i in counter.keys():
        if counter[i] > max:
            max = counter[i]
            val = i
    return val
```

## CloudCoder Exercise

* To be created.

## Pre Lab Questions

1. Why is `max` value is initialised to `0`?
2. What is the purpose of `counter={}`?
3. What will the `split()` function do?

## Post Lab Questions

1. What are the other `inbuilt` Python functions that can be used for this program?
2. How do you give the input directly in the program instead of taking the input from `.txt` file?

## Bonus 1

## Related Material

CD Material: <http://10.100.8.8/kata/edit/AF5211CDC2?avatar=fox>