This README file provides an overview of the food truck ordering system using Python.
Design an interactive ordering system for a food truck menu, leveraging Python programming skills. This system will enable customers to place orders, view itemized receipts, and calculate the total cost, including the interest earned.
- Module 2 Challenge files.
This interactive program simulates a food truck ordering experience, allowing customers to browse menus, select number items, and place orders and receipts.
- Menu browsing: Customers can choose from various food categories like Snacks, Meals, Drinks, and Desserts.
- Item selection: Customers can specify their desired item by entering the corresponding number.
- Quantity selection: Customers can choose the quantity of each item they want.
- Order list: The system tracks the customer's order in a list, displaying the item name, price, and quantity.
- Receipt generation: After placing the order, the system generates a receipt with the order details and total price.
- Python programming language
- Markdown formatting
- Clone or download the project repository.
- Open a terminal in the project directory.
- Install any necessary dependencies (if any).
- Run the main Python script to launch the program.
From the menu directory, run the menu file
python menu.pyFollow the screen prompts to place your order.
Welcome to the variety food truck. From which menu would you like to order? 1: Snacks 2: Meals [...]
| Item name | Price | Quantity |
|---|---|---|
| Cookie | $0.99 | 2 |
| Burrito | $4.49 | 1 |
| [...] |
Total Cost: $6.47
- Repository:
python-challenge-1 - Clone and push changes to GitHub or GitLab.
- Initialize an empty list to store customer orders.
- Prompt customers for menu selections and validate inputs.
- Append orders to the list in a structured dictionary format.
- Implement a match-case statement for order continuation or completion.
- Iterate through the order list to print itemized receipts.
- Calculate and display the total price using list comprehension.
- Utilize variables, lists, dictionaries, and loops.
- Break down tasks into mini-objectives and use pseudocode.
- Commit work regularly and maintain a detailed README.md file.
- Initialize and populate the order list.
- Prompt and validate user menu selections.
- Convert menu selections to integers.
- Check if selections are within menu items.
- Extract item names from the menu dictionary.
- Prompt for item quantities with default fallback.
- Append item details to the order list.
- Implement match-case for order processing.
- Loop through the order list to process items.
- Save key values as individual variables.
- Calculate formatting spaces for receipt display.
- Create space strings with string multiplication.
- Print itemized orders with calculated spaces.
- Compute and print the total order price.
Submit your GitHub repository URL containing the challenge work for evaluation.
Fork the repository and submit pull requests for any improvements or bug fixes. Please ensure your contributions follow the project coding style and adhere to good coding practices.
The project includes unit tests to ensure the functionality works as intended. You can run the tests to verify the system's behavior.
- Implement payment processing options.
- Integrate with a database for storing order history.
- Add user authentication features for personalized experiences.
- Develop a graphical user interface for a more interactive experience.
Feel free to reach out with any questions, feedback, or suggestions. You can find contact information in the project repository or code comments.
- [Columbia University AI Bootcamp](https://bootcamp.cvn.columbia.edu/micro/artificial-intelligence/landing/)
- [Python Documentation](https://docs.python.org/3/)