This document provides documentation for a password generator application implemented in Python using the tkinter library. The application allows users to generate random passwords of varying strengths and lengths.
Table of Contents:
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Application Setup
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User Interface
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Password Strength Selection
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Password Length Selection
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Password Generation
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Conclusion
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Application Setup:
- The application is created using the tkinter library.
- It features a graphical user interface (GUI) for generating random passwords.
- Users can select the strength and length of the password.
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User Interface:
- The GUI includes a title, options for selecting password strength, a password length input field, a password generation button, and a result label.
- Users can choose between "POOR," "AVERAGE," and "STRONG" password strengths.
- Users can specify the desired password length using a Spinbox.
- Clicking the "Generate Password" button generates and displays the password.
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Password Strength Selection:
- Users can select one of three password strength levels:
- "POOR" (Only uppercase and lowercase letters)
- "AVERAGE" (Letters and digits)
- "STRONG" (Letters, digits, and special symbols)
- Users can select one of three password strength levels:
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Password Length Selection:
- Users can specify the length of the password using the Spinbox.
- The Spinbox allows selecting a length between 4 and 24 characters.
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Password Generation:
- Clicking the "Generate Password" button triggers the password generation process.
- The password is generated based on the selected strength and length.
- The generated password is displayed in the result label.
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Conclusion:
- This Python password generator application provides users with the flexibility to create random passwords of different strengths and lengths.
- Users can easily select their desired password strength and length using the GUI interface.
- The application generates secure passwords based on user preferences.
Note: This documentation offers an overview of the code structure and functionality. Detailed code comments are available within the Python script for a more comprehensive understanding of the implementation.