Python for machine learning — what you actually need

You do not need all of Python. You need lists and loops, functions, dictionaries, NumPy arrays and eventually PyTorch tensors. The rest comes when you need it.

AI-grafen's Python nodes are built for exactly that: every node has small coding exercises run against hidden tests, and labs where you write functions that the tests then use.

Start with the Python basics, or jump straight to NumPy if the diagnostic shows the basics are in place.

Python — the basics →Lab: lists and loops →Train your first neural network →

Already a programmer? Go straight to AI for developers, RAG, agents or evals. How we know what you know.