Cat Shop

Project Overview

The Cat Shop project is a Python-based simulation that allows users to browse and purchase cats based on various attributes, such as breed, color, age, weight, and gender. The program provides a catalog of cats, filters them according to the user’s preferences, manages the user's budget, and generates a receipt after each purchase.

Features

• Cat Catalog: Displays a catalog of available cat breeds with their prices.
• User Preferences: Users can specify preferences like breed, color, age, weight, and gender to narrow down the selection.
• Cat Search and Filtering: Filters available cats based on the user’s input to show only matching options.
• Budget Management: Tracks and updates the user's budget after each purchase.
• Receipt Generation: Generates a receipt with details of the purchased cat and the remaining budget.

Pros

• Interactive Experience: The app engages users by prompting them for input and showing real-time results based on their preferences.
• Customizable Filtering: Users can filter cats by multiple attributes like breed, color, age, and gender.
• Simple and Fun: With minimal setup, users can easily browse the catalog and make purchases.
• Budget Tracking: The program ensures that the user stays within their specified budget and updates the remaining balance after each purchase.
• Receipt Generation: A receipt is generated after each purchase, summarizing the transaction and remaining budget.

Cons

• Hardcoded Data: The available breeds and prices are fixed in the code and cannot be dynamically updated without modifying the source.
• No Real Transactions: This is a simulation, so no real financial transactions are involved.
• Text-Based Interface: The interaction is text-based, and there's no graphical user interface (GUI).
• Limited Error Handling: While basic validation is implemented, there’s room for further improvements in error handling and user experience features.

How It Works

1. Introduction: The user is greeted with their initial budget and shown a catalog of cats with details on available breeds and colors.
2. User Input: The user specifies their preferences by entering values for breed, color, age, weight, and gender.
3. Filtering: Based on the user's input, the application filters the catalog and shows the available cats that match the criteria.
4. Purchase and Checkout: The user selects a cat, adds it to their basket, and proceeds to checkout. The program updates the user's remaining budget after each purchase.
5. Receipt Generation: After a purchase, the user has the option to generate a receipt with a breakdown of the purchase and the remaining budget.
6. Retry or Exit: After completing a purchase, the user can choose to continue shopping or exit the program.

Example of Usage

1. Run the Program: Start the Python script.
2. Browse the Catalog: The program will display a list of available cats with their details and prices.
3. Enter Preferences: The user is prompted to input their preferences, such as breed, color, age, and weight.
4. Filter Results: Based on the input, the application filters and shows matching cats.
5. Add to Basket: The user selects a cat and adds it to their shopping basket.
6. Checkout: The user proceeds to checkout, seeing a breakdown of their purchase and remaining budget.
7. Receipt: Optionally, a receipt is generated for the transaction.

Example Workflow

• Step 1: The user browses the catalog, selecting preferences (breed, color, etc.).
• Step 2: Cats are filtered based on the input.
• Step 3: The user chooses a cat and adds it to the basket.
• Step 4: The user checks out, and the budget is updated.
• Step 5: A receipt is generated and saved.

Technologies Used

• Python: The core language used to build the application.
• Pandas: Used for handling data related to the catalog.
• Matplotlib/Seaborn: Libraries used for possible data visualization (not shown in the code but can be added for analysis).

Future Improvements

• Graphical User Interface (GUI): A graphical interface could be added for a more user-friendly experience.
• Dynamic Data: Instead of hardcoding the cat breeds and prices, data could be fetched from an external source (like a database or API).
• Error Handling: Enhanced error handling and input validation could be implemented for a more robust user experience.

License

This project is licensed under the MIT License - see the LICENSE file for details.