Setting Up a Python Environment

Definition

Where do you actually write and run Python?

A Python environment is the set of tools used to write and run Python: the interpreter that runs the code, an editor or notebook to write it in, and the libraries the code uses. Common choices are a browser playground, Jupyter notebooks, VS Code and Google Colab.

In simple words

For learning, the playground on this site is enough: it runs Python in your browser with nothing to install. Data scientists like notebooks, where code and results sit together in cells. Developers building full applications use an editor such as VS Code. Colab is a free online notebook with a GPU for heavier AI work.

Why it matters

Choosing the right tool saves time. Every later module uses notebooks for data work and an editor for building applications, so knowing both from the start makes the rest smoother.

How it works

Tool	Best for	Install needed?
Browser playground (this site)	Learning and quick experiments	No
Jupyter notebook	Data analysis with code and charts together	Yes, or use Colab
Google Colab	Notebooks with free GPUs, in the cloud	No, needs a Google account
VS Code	Full projects with many files	Yes

In a notebook, code lives in cells. You run one cell at a time, and the output appears right below it. Variables stay in memory between cells.

In code

A quick check that Python works, wherever you run it.

environment_check.py

import sys

print("Python is working!")
print("Major version:", sys.version_info.major)
print("2 to the power 10 is", 2 ** 10)

Output

Python is working!
Major version: 3
2 to the power 10 is 1024

Try it yourself

Match the tool to its use

Which tool fits each situation best?

Trying a line of Python on a school computer with nothing installed
Exploring a dataset with charts next to the code
Training a model that needs a GPU, for free
Building an app with many files

Open and run a notebook

Optional, if you have a Google account.

Open colab.research.google.com and create a new notebook.
Type print("Hello from a notebook") in the first cell and press Shift + Enter.
In a new cell, set x = 5. In the next cell, print x * 2. Notice that x is remembered.

I've done this activity

Common mistakes

Spending hours installing tools before writing any code. Start in the browser.
Running notebook cells out of order and getting confusing results.
Mixing up Python 2 and Python 3 tutorials. Always use Python 3.

Check yourself

1. Where does code live in a notebook?

2. Which needs no installation?

3. Which version of Python should you use?

Summary

An environment is the interpreter, an editor or notebook, and libraries.
Start in the browser; use notebooks for data and editors for apps.
Colab gives free cloud notebooks with GPUs.