Offline Wallet Manager 🪙

A lightweight, console-based Python application for managing multiple wallets using the pandas library.

---

🧠 Context

This project was developed during a major power outage, with no internet, no documentation, and no AI tools.
Armed only with a local code editor, a working Python environment, and my existing knowledge, I built this wallet management system in approximately 2 hours.

The application demonstrates how to approach a technical challenge with limited resources and includes the following features:

• Wallet Management: Add new wallets, deposit, or withdraw funds.
• Interest Calculations: Compute simple and compound interest for wallet balances.
• Statistical Summaries: Calculate the total, average, highest, and lowest wallet balances.
• CSV Integration: Reads wallet data from a CSV file (db.csv).

This is not a production-ready solution but a quick offline exercise to showcase problem-solving under constraints.

---

▶️ How to Run

1. Install Dependencies
   Ensure you have Python installed, then install the required library:

   pip install -r requirements.txt

2. Run the Application
   Execute the script in your terminal:

   python main.py

3. Interact with the Menu
   Use the interactive menu to perform operations on the wallets. The initial data in db.csv looks like this:

   name,balance
   "wallet1",3
   "wallet2",2
   

---

🛠️ Features

• Add to Wallet: Deposit funds into an existing wallet.
• Withdraw from Wallet: Withdraw funds from an existing wallet.
• Create New Wallet: Add a new wallet with a starting balance of 0.
• Calculate Statistics:
  • Total balance across all wallets.
  • Average balance across all wallets.
  • Wallet with the highest balance.
  • Wallet with the lowest balance.
• Interest Calculations:
  • Simple interest.
  • Compound interest.
• Reset Wallet: Wipe a wallet's balance to 0.

---

🚧 Known Limitations

• No Persistence: Changes made during runtime are not saved back to the db.csv file.
• No Input Validation: The program assumes valid inputs and may crash with invalid data.
• Index Handling: Manually editing the CSV file may cause index-related issues.
• Basic Error Handling: Limited error handling is implemented.

---

✍️ Final Thoughts

This project is a snapshot of how to solve problems when modern tools are unavailable.
Sometimes, programming is just you, a blank screen, and what you remember — and that can be enough to build something functional.

Feel free to improve or expand upon this project as you see fit!

---