Sorting
Coming soonUnderstand the sorting algorithms interviewers expect you to know, and — more importantly — when a sort unlocks an elegant greedy or two-pointer solution.
12
Planned lessons
10
Coding problems
6h
Est. study time
Medium
Difficulty
Overview
Sorting is both an algorithm to know and a pre-processing step that unlocks elegant solutions. You'll implement the classic comparison sorts and learn when a sort is the key insight.
Why it matters
Knowing merge sort and quick sort cold is table stakes, but the real skill is recognising that sorting first makes a greedy or two-pointer solution obvious.
What the course will cover
- Merge sort, quick sort, and their trade-offs
- Counting and bucket sort for bounded inputs
- Custom comparators and stability
- Sorting as a setup for greedy and intervals
- Patterns: Merge Intervals, Largest Number, Sort Colors
Interview relevance
Interviewers probe whether you know each sort's complexity and stability, and whether you can spot that sorting simplifies the problem in front of you.
Topics you'll master
In the meantime, dive into a published track to keep your momentum.