Скачать или смотреть Master Two Pointers & Fast/Slow Pointers Technique for Your Coding Interviews

Two pointers is one of the most common algorithm patterns asked in coding interviews — especially at MAANG and top-tier tech companies.

In this walkthrough, we break down what two pointers are, why they’re faster than brute force, and how to apply them to real interview problems. We also cover the related fast & slow pointers pattern (used for linked lists, cycle detection, finding the middle node), and walks through a live problem: valid palindrome and linked list cycle examples.

Watch to learn:

✅ What the two pointers pattern is and when to use it
✅ How to convert an O(n²) nested-loop solution into an O(n) two-pointer solution
✅ How to handle edge cases (non-alphanumeric chars, casing) in palindrome problems
✅ The fast & slow pointers technique (Floyd’s cycle detection, finding middle node)
✅ Live coding walkthroughs for Valid Palindrome and Linked List Cycle
✅ How to practice these patterns effectively for coding interviews

Why this matters for interviews:

Two pointers and fast/slow pointers show up frequently in screening rounds and onsite interviews. Knowing these patterns helps you write cleaner, faster solutions that interviewers love — and avoid common pitfalls like unnecessary nested loops.

Start practicing these patterns with interactive lessons, diagrams, quizzes, and real coding problems at https://www.educative.io/interview

Timestamps:

00:00-00:44 Introduction to Two Pointers and Fast/Slow Pointers
00:45-02:44 Example: 2sum
02:45-07:04 Applying the Two Pointers Technique
07:05-13:05 Solving "Valid Palindrome" with Two Pointers
13:06-14:49 Introduction to Fast and Slow Pointers
14:50-16:15 Example: Finding the Middle Element of a Linked List
16:16-21:03 Solving "Linked List Cycle" with Fast and Slow Pointers
21:04-22:32 Personalized Interview Prep