What you'll learn in this Python loops tutorial

This interactive Python tutorial has 11 hands-on exercises. Estimated time: 20 minutes.

1. Computers love repetition — Imagine you need to print the names of 100 students. Without loops, you would write 100 `print()` calls. By hand. And th…
2. range() — count for me — `range(n)` generates numbers from 0 to n-1. You don't see them all at once — Python creates them one at a time.
3. Strings are sequences too — Here is something that surprises beginners: strings are sequences of characters. You can loop over them just like lists.
4. enumerate() — index AND value — Sometimes you need to know the position (index) of each item while looping. You could track it manually with a counter, …
5. while — loop until something changes — `for` loops are great when you know what you're looping over. `while` is for when you don't know how many times you'll l…
6. break — exit early — `break` immediately exits the loop — even if there are items left.
7. continue — skip and keep going — `continue` skips the rest of the current iteration and jumps straight to the next one. The loop keeps going — you're jus…
8. zip() — two lists at once — What if you have two related lists — names and scores — and you want to loop over both at the same time?
9. Nested loops — A loop inside a loop. The inner loop runs completely for every single iteration of the outer loop.
10. List comprehension — a loop in one line — Python has a beautiful shortcut for creating lists from loops:
11. FizzBuzz — the classic challenge — Almost every programming interview has this question. Now you have everything you need to ace it.

Python Loops concepts covered

• Computers love repetition