Loops

Why it matters

AI work is repetitive in exactly the way computers are good at: score 500 headlines, send 20 prompts and compare the answers, process every row of an export, run an evaluation over a test set. When you train a neural network in Phase 4, the training itself is a loop that runs thousands of times. Loops are how you say "do this for each one" once, instead of copying code.

What you'll be able to do

• Repeat code for every item in a list with a for loop
• Use the accumulator pattern to total, count and track the best item
• Filter items into a new list with if inside a loop
• Use range, enumerate, zip, while, break and continue

Before this lesson

• Decisions with if/else
• Lists

Next in this phase: Dictionaries