Deep Learning - Computer Vision for Beginners Using PyTorch - Final Testing

The video tutorial covers the implementation and testing of a Hangman game in Python. It begins with setting up the game and testing positive scenarios where the user guesses the correct word. It then moves on to negative testing, including incorrect guesses and input errors. Edge cases are also tested to ensure the program meets all requirements. The tutorial concludes with a summary of the project and an introduction to using Python for data analysis.

What happens when the user guesses the correct word in the Hangman game?

• The game restarts automatically.

• The system displays the number of chances used.

• The user loses a chance.

• The system crashes.

How does the system respond when a user inputs a word of incorrect length?

• It ends the game.

• It displays a message to enter a correct length word.

• It ignores the input.

• It accepts the word and continues.

What is the system's response when the user fails to guess the word after 10 attempts?

• The system shuts down.

• The game resets.

• The system reveals the correct word.

• The user gets extra chances.

What should the user do if they want to guess the word 'wait'?

• Input each letter separately.

• Restart the game.

• Input 'wait' and press enter.

• Guess a different word.

What happens if a user inputs a letter that has already been guessed?

• The system informs the user that the letter was already guessed.

• The game ends.

• The system ignores the input.

• The system accepts it as a new guess.

What is the next step in learning after completing the Hangman project?

• Learning advanced Python programming.

• Exploring data analysis using Python.

• Building a new game.

• Studying machine learning.

What confirms that the Hangman program meets all requirements?

• The program runs without errors.

• All scenarios are tested successfully.

• The code is well-documented.

• The user wins the game.