Expense Tracker

A simple Python CLI tool to manage daily expenses. Built to practice working with data structures and functional programming in Python.

Personal Tweak

This project is based on the FreeCodeCamp (FCC) Scientific Computing with Python curriculum. But I tweak the original code by adding error handling

• Using try-except: To validate so that the program doesn't error when the input is not a number.

Features

• Dynamic Data Storage: Utilizes a list of dictionaries to manage expense records efficiently.
• Functional Programming: By implementing Python's built-in map() and filter() functions combined with lambda expressions for streamlined data processing & filtering.
• Modular Design: The codebase is organized into distinct, single-responsibility functions (Add, Print, Total, Filter) to ensure high maintainability and readability.
• Interactive CLI Interface: Features a robust command-line interface powered by a while loop, providing a seamless user experience for real time data entry and retrieval.
• Data Transformation: Demonstrates effective use of higher order functions to calculate totals and extract specific categories from the dataset.

Project Structure

Inside this repository, you will find:

• track.py — The main Python script that runs the expense tracker.
• README.md — The documentation you are reading right now.

How It Works

User Input -> Main Loop -> Function Logic -> Expenses List (Data Store) -> UI Output

• Initialize: The program starts with an empty list called 'expenses'.
• Menu Selection: A while loop keeps the program running, presenting a menu for different actions.
• Adding Data: When an expense is added, the script creates a key-value pair for both 'amount' and 'category', appending it to the collection.
• Calculations: To get the total, the program extracts all 'amount' values from the dictionaries and sums them up using a lambda function.
• Searching: The filter feature scans the list and returns only the items where the category matches the user's input.

How To Use

1. Run the script: Open your terminal and run python track.py
2. Add expenses: Choose option 1 and enter the amount and category.
3. View result: Choose option 2 to see all data, or 3 to see the total sum.
4. Filter: Choose option 4 to find specific expenses (e.g., "Food")

Example Output

Here, I added my expense of 50,000 food by entering it in option 1, and proving my total expense with option 3

Expense Tracker
1. Add an expense
2. List all expenses
3. Show total expenses
4. Filter expenses by category
5. Exit

Enter your choice: 1
Enter amount: 50000
Enter category: Food

Expense Tracker
1. Add an expense
2. List all expenses
3. Show total expenses
4. Filter expenses by category
5. Exit

Enter your choice: 3
Total Expenses: 50000.0

Note: Of course there's much more than just adding and proving the expenses, you can try it yourself hehe :)