Python Setup (Jupyter / VS Code)

To start coding in Python, students need both the Python language installed and an editor or environment to write their code. Two beginner-friendly tools widely used in data analysis and development are Jupyter Notebook and Visual Studio Code (VS Code).

Installing Python

• First, download Python from python.org and install it on your system.
• During installation, check the option that says “Add Python to PATH”—this ensures you can run Python from any folder on your computer.
• You can confirm Python is installed by running python --version in your terminal or command prompt.

Jupyter Notebook (Best for Learning & Data Work)

• Jupyter Notebook is part of the Anaconda distribution, which includes Python, Jupyter, and other data science tools.
• It lets you write code in small cells, run each block, and immediately see the output. You can mix code with text (Markdown) to explain your logic.
• Ideal for data exploration, analysis, and step-by-step learning.

Example cell structure:

Visual Studio Code (Best for Larger Projects)

• VS Code is a lightweight, powerful code editor that supports Python with the help of extensions.
• After installing VS Code, install the Python extension from the Extensions Marketplace.
• You write Python in .py files and run the code using the terminal or built-in run options.
• Great for structured code development, project folders, and version control (like Git).

Example view in VS Code:

When to Use What?