Hangman-Game

Implemented Hangman challenge using Trexquant API with accuracy >50% Certainly! Here's a revised overview with some wording changes that could be suitable for a GitHub README or similar documentation:

Trexquant Hangman Challenge

The provided Jupyter Notebook (HangmanAPI.ipynb) defines a Python class called HangmanAPI, designed as an interface for seamless interaction with a Hangman game API. This class encompasses various features to enhance gameplay strategy and communication with the API.

1. Initialization:

• Upon instantiation, the class is configured with essential parameters like access_token, session, and timeout.
• The determine_hangman_url method is employed to ascertain the appropriate Hangman game API URL.

2. Building Dictionaries:

• A comprehensive dictionary of words is read from a file, and dynamic dictionaries based on word length are constructed using methods such as build_dictionary and build_n_word_dictionary.
• The full_dictionary_common_letter_sorted attribute maintains a count of the most common letters found in the full dictionary.

3. Word and Letter Processing:

• The class offers methods for tasks like counting vowels in a word (vowel_count) and processing words and letters to filter dictionaries (func, func2).

4. Game Logic:

• The core of the Hangman game logic is encapsulated in the guess method. It intelligently makes guesses based on the ongoing game state and the available dictionaries.
• The start_game method initiates a new Hangman game, makes educated guesses, and manages responses until the game concludes, either successfully or unsuccessfully.

5. API Communication:

• To communicate with the Hangman API, the class employs a request method utilizing the requests library.
• Robust error handling is implemented through a custom exception class called HangmanAPIError.

6. Exception Handling:

• The HangmanAPIError class is specifically crafted to handle errors returned by the Hangman API effectively.

7. Other Methods:

• The my_status method retrieves the current status of the Hangman game.

This class serves as a comprehensive toolkit for interacting with a Hangman game API, spanning from initialization to strategic guessing and response handling. The code is well-organized and includes comments for improved clarity. If you have specific inquiries or require additional explanations on particular sections, please feel free to inquire!