A simple yet practical To-Do List Manager built with Python. This project demonstrates core programming concepts such as Object-Oriented Programming (OOP), CSV file handling, and basic data management through a command-line interface.

• ✅ Add new tasks
• ❌ Delete existing tasks
• 📋 View all tasks
• 💾 Save tasks to a CSV file
• 📂 Load tasks from a CSV file
• ⚡ Assign priority levels (High, Medium, Low)

This project is designed to practice and demonstrate:

• Object-Oriented Programming (OOP)
• File handling with CSV
• Data persistence
• CLI (Command-Line Interface) design

my_project/
│
├── venv/                # Virtual environment (not included in version control)
├── main.py              # Entry point of the application
├── requirements.txt     # Project dependencies
├── tasks.csv            # Data storage (auto-generated)
└── README.md            # Project documentation

Represents a single task.

Attributes:

• name – Title of the task
• description – Details about the task
• priority – Task priority (High, Medium, Low)

Manages the collection of tasks.

Methods:

• add_task() – Add a new task
• remove_task() – Delete a task
• view_tasks() – Display all tasks
• save_to_csv() – Save tasks to a CSV file
• load_from_csv() – Load tasks from a CSV file

python -m venv venv

Windows:

venv\Scripts\activate

macOS / Linux:

source venv/bin/activate

pip install -r requirements.txt

python main.py

The program runs in a text-based menu, allowing you to:

1. Add a task
2. Remove a task
3. View all tasks
4. Save tasks
5. Exit

• Tasks are stored in a file named tasks.csv
• Data is automatically loaded when the program starts (if the file exists)
• Changes can be saved manually or automatically depending on implementation

• The venv/ folder should not be committed to version control
• Add the following to your .gitignore file:

venv/
__pycache__/
tasks.csv

• Add task deadlines
• Add task completion status
• Build a GUI (e.g., using Tkinter or PyQt)
• Add search and filtering options

This project is open-source and available for learning purposes.

This project is created as a hands-on exercise to improve Python programming skills.