pytextalterations 1.1.0

A package that alters text in four different ways.

Python Package Exercise

An exercise to create a Python package, build it, test it, distribute it, and use it. See instructions for details.

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About

Text Alterations is a package that alters text in four different ways.

With this package you can:

1. Capitalize the first letter of sentences in a text
2. List words in a text in order of frequency
3. Find the number of sentences in a text
4. Remove all the punctuation and capital letters in a text

Link

Find our package on PyPI here

Functions

1. Capitalize Sentences

capitalize_sentences(text: str) -> str:

Returns the input text with the first letter of each sentence capitalized. Sentences are identified by the punctuation marks ., !, and ?.

Parameters: text (str): The input text to be capitalized

Returns: str: The text with first letter of each sentence capitalized

For example:

string = 'i am a student at NYU. i like software engineering. this class is valuable to my education.'

capitalize_sentences(string) returns:

'I am a student at NYU. I like software engineering. This class is valuable to my education.'

2. Most Frequent Words

most_frequent_words(text: str, num_words: int = 0) -> list[str]:

Returns the num_words most frequent words in the text as a list. The list will be sorted from most frequent to least frequent. If num_words = 0, all words will be returned. Words are separated by spaces.

Parameters: text (str): The input text num_words (int): The number of words to be returned

Returns: list[str]: the most frequent words, sorted by frequency

For example:

string = 'i am a student at NYU. i like software engineering. this class is valuable to my education.'

most_frequent_words(string) returns:

['i', 'am', 'a', 'student', 'at', 'NYU.', 'like', 'software', 'engineering.', 'this', 'class', 'is', 'valuable', 'to', 'my', 'education.']

3. Remove Punctuation

removepunctuation(str) -> str:

This function takes an input String and then converts it to lower case and removes all punctuation

We used regular expression to make this process easier

Parameters: text(str): input string Returns: str: the input string without punctuation and converted to lowercase

For example:

string = 'i am a student at NYU. i like software engineering. this class is valuable to my education.'

removepunctuation(string) returns:

'i am a student at nyu i like software engineering this class is valuable to my education'

4. Sentence Count

sentence_count(text: str) -> int:

Returns the number of sentences in the text string. This function identifies sentences and accounts for several common abbreviations but not all abbreviations.

Parameters: text (str): The input text

Returns: int: The number of sentences in the input text.

For example:

string = 'i am a student at NYU. i like software engineering. this class is valuable to my education.'

sentence_count(string) returns:

3

Contribute

Please install a virtual environment of your choice

In this example, we will use pipenv

pip install pipenv

Please clone the repo

git clone https://github.com/software-students-fall2024/3-python-package-subwaysurfers.git

cd 3-python-package-subwaysurfers

Install dev packages and activate the virtual environment

pipenv install --dev

pipenv shell

Build

pip install build

python -m build

Run unit tests

pytest

Installation and Usage

Create and activate a virtual environment of your choice

In this example, we will use pipenv

pip install pipenv

pipenv shell

Install our package!

pipenv install pytextalterations

To run

Run our package

python -m pytextalterations

You will see a screen that looks like this:

---

Welcome to Text Alterations

With this package you can:

(C) Capitalize the first letter of sentences in a text

(F) List words in a text in order of frequency

(N) Find the number of sentences in a text

(R) Remove all the punctuation and capital letters in a text

Please choose an option (C, F, N, R, or Quit) to continue:

---

Enjoy!

Group Members

Neha Magesh: link Luca Ignatescu: link James Whitten: link Tahsin Tawhid: link