Python lab setup

A clean Python lab setup so you can run ANN Learn code labs safely: editor, virtual environment, packages, and secrets hygiene.

Most “I can’t learn AI” moments are environment pain. Fix setup once; reuse across chapters.

1. Install a current Python 3.x from a trusted source
2. Create a virtual environment per project
3. Install only what the lab lists
4. Store API keys in env vars—not in shared notebooks
5. Don’t paste secrets into public chats

A labeled toolbox on a workbench beats dumping every wrench into one drawer.

Create a folder ann-labs, make a venv, and run python -c "print('ok')".

⚠️ Myth: You must master all of Python before any AI lab.

✓ Reality: Variables, functions, lists/dicts, and reading errors unlock Wave 1 labs.

⚠️ Myth: Global pip install everywhere is fine.

✓ Reality: Environments prevent dependency hell.

• Python.org downloads/docs: https://www.python.org/ ↗
• Course 21 later labs; provider SDK quickstarts (cite specifically)
• OWASP secrets hygiene themes via Course 19 security basics