You now have flexible iteration tools. while loops repeat until a condition fails. for loops iterate over sequences. break exits early, continue skips iterations. You learned the accumulator pattern (initialize, loop, aggregate), nested loops for 2D problems, and Python idioms like enumerate() and zip().
You even saw the rarely-used but handy loop-else clause. Combined with conditionals from the last section, you can now process data, validate input, and build complex algorithms.
The final piece is data structures. Next, you'll learn lists. Instead of one variable at a time, you'll work with collections. Lists let you store, access, and transform groups of values. With loops and lists together, you can handle any amount of data.