Lesson 55: Decorators - Python Course

🎯 Final Project: Personal Finance Tracker

Congratulations on reaching the final lesson! Let's build a comprehensive personal finance tracker that combines everything you've learned. This project uses classes, file handling, error handling, and advanced Python features.

This final project will demonstrate your mastery of Python programming concepts and help you build a practical application you can use in real life.

Project Requirements

Your finance tracker should:

Create Transaction and FinanceTracker classes
Add income and expense transactions
Calculate total income, expenses, and balance
Save and load data from JSON files
Display transaction history
Handle errors gracefully
Provide a menu interface
Filter transactions by category or date

Step-by-Step Implementation

Here's how to build the finance tracker:

finance_tracker.py
import json
from datetime import datetime

class Transaction:
    def __init__(self, amount, category, transaction_type, description=""):
        self.amount = amount
        self.category = category
        self.type = transaction_type  # "income" or "expense"
        self.description = description
        self.date = datetime.now().strftime("%Y-%m-%d")
    
    def to_dict(self):
        return {
            "amount": self.amount,
            "category": self.category,
            "type": self.type,
            "description": self.description,
            "date": self.date
        }

class FinanceTracker:
    def __init__(self):
        self.transactions = []
    
    def add_transaction(self, transaction):
        self.transactions.append(transaction)
    
    def get_balance(self):
        income = sum(t.amount for t in self.transactions if t.type == "income")
        expenses = sum(t.amount for t in self.transactions if t.type == "expense")
        return income - expenses
    
    def save_to_file(self, filename):
        try:
            data = [t.to_dict() for t in self.transactions]
            with open(filename, "w") as f:
                json.dump(data, f, indent=2)
            print("Data saved successfully!")
        except Exception as e:
            print(f"Error saving: {e}")

# Example usage
tracker = FinanceTracker()
tracker.add_transaction(Transaction(1000, "Salary", "income"))
tracker.add_transaction(Transaction(50, "Food", "expense", "Groceries"))
print(f"Balance: ${tracker.get_balance()}")

Enhancement Ideas

Try adding these features to make your tracker even better:

Monthly and yearly reports
Budget tracking and alerts
Category-wise spending analysis
Export data to CSV
Search and filter transactions
Data visualization (if you learn plotting libraries)
Recurring transaction support

🎉 Congratulations!

You've completed all 60 lessons! You now have a solid foundation in Python programming. Continue practicing, building projects, and exploring advanced topics. The journey of learning programming never ends - keep coding and keep learning!

🌟 Next Steps

• Build more projects to practice

• Explore Python libraries (NumPy, Pandas, Flask, Django)

• Contribute to open-source projects

• Learn about algorithms and data structures

• Join Python communities and forums