EigenPrep

EigenPrep is a standalone Python application designed to help users practice quantitative finance and brain teaser interview questions. It features a modular backend, a modern UI built with PyQt5, and local data storage using editable CSV files. No login or cloud features—everything runs locally for speed and privacy.

Features

• Modern PyQt5 interface with custom theme and branding
• Local CSV files for questions, answers, and categories (easy to edit)
• Quiz mode: select category, timed 5-question quizzes, instant feedback, and override button to mark any question correct
• Timer counts up; see your score and time at the end
• Main menu with large buttons and logo
• Local session (no user accounts)
• Bundled assets (fonts, icons)
• Quality-of-life features: keyboard navigation, settings panel (planned)

Dependencies

• Python 3.8+
• PyQt5
• pandas
• pyyaml

Install dependencies with:

pip install -r requirements.txt

Running the App

1. Clone the repository:

   git clone https://github.com/CUQuants/EigenPrep.git
   cd EigenPrep

2. Ensure your data files are in the data/ directory (CSV format).
3. Run the main application:

   python -m src.main

Usage

• The app launches with a main menu. Select Quiz to begin.
• In Quiz mode:
  • Choose a category and start a 5-question quiz.
  • Timer counts up; your time and score are shown at the end.
  • Submit answers and get instant feedback.
  • Use the Override: Mark Correct button to manually mark any question correct.
• All questions and answers are stored in CSV files for easy editing.

Data & Assets

• All data is stored locally in the data/ directory (CSV files).
• Fonts and icons are bundled in the assets/ directory.

Architecture

• src/ui/main_window.py: Main menu window (start quiz, OA, stats, settings, quit)
• src/ui/quiz.py: Quiz window (category selection, timed quiz, feedback, override)
• data/: CSV files for each question category
• config/config.yaml: App configuration (version, debug, etc.)

Editing Questions

• Edit or add questions by modifying the CSV files in the data/ directory.
• Each row should have: category,question,answer,type.

Contributing

Pull requests are welcome! Please ensure new features are modular and maintain the app's speed and simplicity.

License

MIT