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Starting with Python: A Practical Step-by-Step Guide for Beginners

Posted on November 24, 2025

Learning Python is exciting, but starting the right way ensures your code is clean, organised, and easy to maintain. Here’s how to set up a solid foundation:

1. Install Python and Set Up Your Environment

  • Download Python from https://www.python.org.
  • During installation, tick “Add Python to PATH”.
  • Verify installation:
python --version
  • Create a Virtual Environment (keeps dependencies isolated):
python -m venv venv
  • Activate it:
    • Windows: venv\Scripts\activate
    • macOS/Linux: source venv/bin/activate

2. Choose an Editor

Pick an IDE that makes coding easier:

  • VS Code (lightweight and popular)
  • PyCharm (great for larger projects)
  • Thonny (perfect for beginners)

3. Create a Simple Project Structure

Organise your files from the start:

my_project/
│
├── venv/            # Virtual environment
├── src/             # Your Python code
│   └── main.py
├── tests/           # Unit tests
├── requirements.txt # Dependencies
└── README.md        # Project description

4. Write Your First Script

In src/main.py:

def main():
    print("Hello, Python!")

if __name__ == "__main__":
    main()

Run it:

python src/main.py

5. Manage Dependencies

If you need libraries:

pip install requests
pip freeze > requirements.txt

6. Add Version Control

Use Git to track changes:

git init

Create a .gitignore file and include:

venv/
__pycache__/

7. Write Tests Early

Testing helps you avoid bugs:

# tests/test_main.py
import unittest
from src.main import main

class TestMain(unittest.TestCase):
    def test_main(self):
        self.assertIsNone(main())

if __name__ == "__main__":
    unittest.main()

Run tests:

python -m unittest discover tests

8. Document Your Project

Add a README.md explaining:

  • What the project does
  • How to install and run it
  • Any dependencies

Next Steps

Once you’re comfortable:

  • Learn functions, loops, and data structures.
  • Explore libraries like math, random, and later pandas or numpy.
  • Start small projects (calculator, to-do app, number guessing game).

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