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Data Structures and Algorithms in Swift

Swift's standard library gives you Array, Dictionary and Set, and stops there: no queue, heap, linked list or tree. This path has you build each one in Swift, with classes for nodes and weak for the links that point back, then sort, recurse and search graphs with them, and finish on graded interview problems. Free, in your browser, with a certificate on most courses.

377 lessons228 challenges702 quiz questions

DSA in Swift, step by step

38 courses377 lessons228 challenges702 quiz questions

Each step is a set of existing Coddy courses, and every Start button opens them in Swift. The three courses not taught in Swift yet are listed after the steps.

  1. 1
    Start this stepStartStack, queue, binary tree, hash table and linked list, each built from scratch in Swift and then used to solve problems. After it, you know why Array makes a good stack and a slow queue, and what Dictionary does for you.Start
  2. 2
    Start this stepStartDoubly linked list, heaps and priority queues, tries, graphs and the self-balancing AVL tree: structures the standard library does not ship. The doubly linked list is where weak earns its place, and the heap you write here is the one the graph step needs.Start
  3. 3
    Start this stepStartBubble, selection, insertion, merge, quick, heap, counting and radix sort, written in Swift and watched in the visualizer. sorted(by:) takes a closure such as { $0 > $1 }; after this step, you can write the algorithm on the other side of that call.Start
  4. 4
    Start this stepStartRecursion challenges in Swift. Recursion pairs naturally with an indirect enum, a type allowed to contain itself, and Swift makes no promise of tail-call optimization, so a recursion deep enough crashes with a stack overflow instead of running forever. Dynamic programming and bit manipulation are listed after the steps, since they are taught in Python and C++.StartDedicated page
  5. 5
  6. 6
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Why learn DSA in Swift on Coddy

  • The structures Swift left out. The standard library has no queue, deque, heap, linked list or tree, so a Swift interview problem that needs one expects you to write it. On this path you do, then use them in the graph and interview courses, and Apple's open-source swift-collections package, with its Deque and Heap, reads differently once you have.
  • Value types and references, made concrete. Array, Dictionary and Set are value types with copy-on-write, so passing one around is cheap until someone changes it. A tree node cannot work that way: it has to be a class, or an indirect enum, and a parent pointer has to be weak, or ARC never frees the cycle. Data structures are where Swift's memory model stops being theory.
  • Nearly the whole path in Swift. Every data structure, sort, graph algorithm, recursion challenge and interview pack is taught in Swift. Three are taught elsewhere and listed after the steps with a link to each: dynamic programming and the Python interview series in Python, and bit manipulation in C++. Bit manipulation is an easy read from Swift, which shares C++'s &, |, ^, ~, << and >>.
  • Graded like an interview. Every lesson ends in a Swift challenge checked by test cases, and when one fails, Bugsy reads your code and nudges you toward the fix without handing over the answer. A free certificate on most courses, each verifiable at its own URL.

Frequently asked questions about DSA in Swift

Is Swift good for data structures and algorithms?

Yes. Generics, protocols such as Comparable and Hashable, and optionals make a node whose next may be nil explicit in its type, and the compiler checks every use. Two things are worth knowing early: the standard library is thin, so you write your own queue and heap; and collections are values, so assigning an array to a new variable and changing it leaves the original alone, which surprises people coming from Java or JavaScript.

Which Swift types match which data structures?

Array is a dynamic array and a stack, with append and popLast(); Dictionary and Set are hash tables. That is the whole standard library. Apple's open-source swift-collections package adds Deque, Heap, OrderedSet and OrderedDictionary; the linked list, the tree, the trie and the graph you write yourself, in steps one and two.

Why does a tree node in Swift have to be a class?

Because a struct is a value. It cannot hold a stored property of its own type, even an optional one, and wherever it holds copies, as in an array, changing a copy leaves the original alone. A class instance is a reference, so nodes can point at each other; an indirect enum also works, for trees you never change in place. The catch is ARC: a parent pointer must be weak, or parent and child keep each other alive and the tree is never freed.

How do I write a fast queue in Swift?

Not with removeFirst(): on an Array it shifts every remaining element, so each dequeue is O(n). Keep a head index and advance it, or use two arrays: push onto an inbox, pop from an outbox, and refill the outbox by reversing the inbox when it runs empty. Both make dequeueing amortized O(1). swift-collections' Deque does it for you, and step one has you build a queue yourself.

Which courses on this path are not taught in Swift?

Three: dynamic programming and the Python interview series, taught in Python, and bit manipulation, taught in C++. They are listed after the steps, each with a link that opens it in its own language. A memo in Swift is an array or a Dictionary, and Swift integers carry nonzeroBitCount and trailingZeroBitCount, which do in one property what a C++ bit trick does by hand.

Do I need to know Swift before starting this path?

Structs, classes, optionals, generics and protocols, at least. If those are new, Coddy's Swift course covers them first, free, and this path picks up where it ends.

Other learning paths

The same courses, arranged for a different role. Progress carries over: a course finished on one path counts on every path that includes it.

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