public/subjects/devops/string_tokenizer_count/README.md

string_tokenizer_count

Instructions

Create a file string_tokenizer_count.py that contains a function tokenizer_counter which takes in a string as a parameter and returns a dictionary of words and their count in the string.

• The function should remove any punctuation from the string and convert it to lowercase before counting the words.

• The function should return a dictionary of words and their count, sorted alphabetically by word.

Usage

Here is an example of how to use the function in a test.py script:

string = "This is a test sentence, with various words and 123 numbers!"
result = tokenizer_counter(string)
print(result)

And its output:

$ python3 test.py
{'123': 1, 'a': 1, 'and': 1, 'is': 1, 'numbers': 1, 'sentence': 1, 'test': 1, 'this': 1, 'various': 1, 'with': 1, 'words': 1}
$

Hints

• The re module can be used to remove non-alphanumeric characters.

• The Counter class of the collections module can be used to count the words.

• The operator module can be used to sort the dictionary alphabetically by word.

Here is an example of how to sort a dictionary in python, using a test.py script:

dictionary = {'a': 5, 'c': 1, 'b': 3}
sorted_dict = dict(sorted(d.items(), key=lambda item: item[1]))
print(sorted_dict)

And its output:

$ python3 ./test.py
{'c': 1, 'b': 3, 'a': 5}
$

References

• re module

• collections module

• operator module