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2026-04-2110 min read

Arrays

Master arrays with interview-first intuition, classic optimization patterns, and a curated set of LeetCode practice problems.

ArraysDSAPatterns

SEO focus: arrays in DSA, two pointers, sliding window, Kadane algorithm, Striver A2Z arrays


TOPIC NAME: Arrays

1. ABOUT THE TOPIC

  • Arrays store elements in contiguous memory and are usually the first data structure you learn in DSA.
  • This topic is important because arrays appear everywhere: searching, sorting, hashing, prefix sums, greedy, DP, and sliding window problems all start here.
  • In interviews, arrays are used to test indexing control, observation skills, optimization ability, and knowledge of reusable patterns.

2. KEY CONCEPTS

  • Prefix Sum: Precompute cumulative sums to answer range queries quickly.
  • Two Pointers: Move two indices smartly to reduce nested loops.
  • Sliding Window: Maintain a valid subarray while expanding and shrinking the range.
  • Kadane’s Algorithm: Tracks the best subarray sum in linear time.
  • In-place Rearrangement: Modify the array without extra memory when the problem allows.
  • Difference Between Sorted and Unsorted Arrays: Sorted arrays unlock binary search and pointer-based optimizations.

3. COMMON PATTERNS

  • Two Pointer: Use when the answer depends on pairs, partitioning, or opposite ends of an array.
  • Sliding Window: Use for subarray or substring questions involving a continuous range.
  • Kadane’s Algorithm: Use when asked for maximum sum over a contiguous subarray.
  • Prefix Sum: Use when repeated sum checks are needed.
  • Hash Map + Array: Use when you need fast complement lookup or frequency tracking.

4. COMPLEXITY GUIDE

  • Brute force on arrays is often O(n^2) because it checks every pair or every subarray.
  • The most common optimized targets are O(n) with hashing/pointers or O(n log n) with sorting.
  • Extra space is often a tradeoff for speed, especially with hash maps and prefix storage.
  • In-place array changes reduce space to O(1) but often demand careful ordering.

EASY:

MEDIUM:

HARD:

6. INTERVIEW TIPS

  • Watch for off-by-one errors when shrinking windows or swapping indices.
  • Clarify whether order must be preserved before choosing an in-place technique.
  • For interval questions, sort first unless the problem explicitly guarantees order.
  • For matrix problems, decide whether using first row or column as markers is safe.

7. PRACTICE STRATEGY

  • Start with easy indexing and hashing problems.
  • Then practice two pointers, sliding window, prefix sum, and Kadane separately.
  • End with interval and matrix transformation problems because they mix multiple ideas.

8. BLOG SEO META

  • Title: Arrays in DSA | Patterns, Interview Tricks, and LeetCode Practice
  • Description: Learn arrays for coding interviews with two pointers, sliding window, prefix sums, Kadane’s algorithm, and curated LeetCode questions.
  • Keywords: arrays DSA, two pointers, sliding window, Kadane algorithm, array interview questions