Core Data Structures

Real programs rarely work with one value at a time. A shop has hundreds of products, a class has dozens of students, a sensor produces a reading every minute. This track teaches the four built-in collections Python gives you to hold that data — lists, tuples, dictionaries and sets — and the everyday patterns for working with them: indexing and slicing, counting and grouping with dictionaries, removing duplicates and comparing groups with sets, navigating nested records shaped like JSON, and transforming whole collections in one readable line with comprehensions.

It is written for learners who already know variables, conditions, loops and functions. Every lesson is built around realistic data — invoices, gradebooks, inventories, attendance sheets, survey answers — and you write and run real functions that are graded automatically, including the edge cases that break careless code: empty collections, duplicates, missing keys and inputs that must not be changed. You also learn the mistakes that cause real bugs, such as two names sharing one list, and finish by choosing the right structure for a job and building a small gradebook and inventory system step by step.