While preparing for a technical coding interview, and practising LeetCode questions, I created this cheatsheet.

As you know, coding interview requires interviewee to manipulate collection types (array, dictionary, set) expertly to solve mathematic puzzles.

Loop array

for value in array
for index in array.indices
for (index, value) in array.enumerated()

Loop array with range

for i in 0..<array.count // Traditional loop with indices

for v in array[2...] // Skip the first 2 elements
for v in array[..<(array.count-2)] // Skip the last 2 elements
for v in array.prefix(3) // The first 3
for v in array.suffix(3) // The last 3

Loop dictionary

for (key, value) in dictionary

Check if dictionary has key

// Alternative, if the value type is _never_ `Optional`
if dictionary["k"] == nil // "k" is not in keys

Special sequences

let tenOnes = repeatElement(1, count: 10) // Array(tenOnes)

stride(from: 0, to: 60, by: 5) // Every 5 min

Array CRUD

// Find
firstIndex(of: x) // O(n)
// Insert
append(x) // O(1)
append(contentsOf: anArray)
insert(x, at: i) // O(n)

It is important to note that append O(1) is much faster than insert.

// Remove
remove(at: i) // O(n)
removeAll(where: {..})
let last = popLast() // O(1)
// Move



There are more ops using your own predicate: max(by:), sorted(by:), filter(), map()


partition(by:) is a powerful API, and quite advanced. It reorders the sequence by a predicate, such that the right half satisfy the predicate (while left half does not).

It returns the index of the first index in the right half.

let p = array.partition { .. }
let h1 = list[..<p] // Left half
let h2 = list[p...] // Right half

Note that it is an unstable partition, which means the order in both half are not preserved. There is an internal halfStablePartition which will have the 1st half retain the original order, and also a stablePartition which will have both half retain the original order.

If don’t know Crusty, read this up.


To compare and sort, the type should implement Equatable protocol.

extension MyClass: Equatable {
    public static func == (lhs: MyClass, rhs: MyClass) -> Bool {
        return ==

Identity Comparison ===

There is an op === for identity comparison eg. are they the same instances?

// For example, in the above Equatable implementation, we could also compare their identities
return lhs === rhs

Dictionary O(1) access

An optimizing trick is to make use of the quick O(1) operation when accessing a dictionary, since they are hashed.

The trade off is that the setup takes O(n), and a space of O(n). And you need the type to be hashable.


extension MyClass: Hashable {
    public func hash(into hasher: inout Hasher) {




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