Python Business Applications This repository contains a collection of Python projects developed for a business application development course. Each program solves a specific business problem, demonstrating core skills in user input validation, financial calculations, data structures, and GUI development.
- Safari Reservation Program A user-interactive terminal application for booking safari tours. The system captures customer information and dynamically calculates total costs based on various selections.
Key Features: Dynamic Cost Calculation: Computes total cost based on safari type, group size, optional add-ons (like meal plans or photo packages), and membership discounts.
Input Validation: Implements robust input validation loops to ensure clean user inputs (e.g., correct group sizes, valid yes/no answers) and improve the overall user experience.
Formatted Receipts: Utilizes control structures and modular arithmetic to compute subtotals, discounts, and taxes, outputting a formatted, time-stamped receipt with all transaction details.
- Real Estate Property Management Program A Python-based command-line tool for property analytics and financial calculation, designed to help manage and analyze real estate listings.
Key Features: Property Analytics: Uses dictionary data structures to organize, store, and display real estate listings (both rentals and sales) for efficient data retrieval.
Loan Payment Calculator: Includes a financial calculator that analyzes metrics like monthly loan payments and total interest paid over the life of the loan.
Data Validation: Implements data validation protocols to ensure accuracy in property valuations and financial calculations, reducing errors in pricing analysis.
- Pizza Ordering System (GUI) A graphical data collection application that simulates a pizza ordering kiosk, built using Python's native Tkinter library.
Key Features: GUI Development: Features a user-friendly graphical interface (GUI) built with Tkinter that captures customer preferences for size, toppings, and payment methods.
Order Tracking System: Designed a standardized, text file-based system that captures and logs the customer's name, order details (size, toppings), and transaction timestamps.
Data Standardization: Automates the sales data collection process by systematically logging all order details into structured files, making the data ready for analysis.