Before you can build anything, you need the language and the mental models that every programmer shares — and that is exactly what this category installs, in three steps. Start with the everyday vocabulary of code: variables, functions, loops and conditionals that appear in every program in every language. Move on to the classic data structures — arrays, stacks, queues, hash tables and trees — that decide whether a problem is easy or impossible. Finish with algorithmic thinking and Big-O notation, so you can reason about how fast code runs before you ever execute it. Together these three decks are the ground floor of a computer-science education and the core of most coding interviews.
Start here: the everyday vocabulary of code — variables, functions, loops and conditionals.
Level up to how programs organise data — arrays, stacks, queues, linked lists, hash tables and trees.
Finish with algorithmic thinking: Big-O notation, common complexities, search, sort and recursion.