Arrays Articles
6 articles on Arrays
Sorting Algorithms: When to Use Which, and Why Interviewers Still Ask About Them
You'll never implement bubble sort in production. But sorting interviews are about demonstrating algorithmic thinking — trade-offs, stability, in-place vs extra space. This guide covers every sorting algorithm you need, with real code and the exact interview questions they unlock.
The Binary Search Playbook: Every Variation You'll Ever See in Interviews
Binary search breaks every student's confidence at some point. This guide gives you one template to rule them all, then shows you every variation — first/last occurrence, rotated arrays, search on answer space — with working code.
Linked Lists: Every Pattern You Need, With the Pointer Diagrams Nobody Draws
Linked list problems trip up students because pointer manipulation is unforgiving — one wrong assignment and you've lost the rest of the list. This guide teaches every linked list pattern with step-by-step pointer diagrams so you never lose track again.
5 Patterns That Crack 90% of DSA Interview Questions
Most DSA problems are variations of just 5 core patterns. Learn them once, and you can solve hundreds of problems — even ones you've never seen before.
Heaps and Priority Queues: The Underestimated Pattern That Solves 20+ Interview Problems
Most students treat heaps as an afterthought. This guide shows you why they're one of the most powerful tools in your DSA arsenal — with every pattern from top-K to sliding window maximum, fully implemented.
Space Complexity and In-Place Algorithms: When Memory Matters and How to Optimise It
Time complexity gets all the attention. But space complexity decides whether your code runs in a memory-constrained environment — and interviewers test it more than most students expect. This guide covers every space optimisation technique with real examples.
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