Skip to main content

LeetCode 125 Explained: Valid Palindrome Using Two Pointers in Python

Problem Overview

In this problem, we are given a string that may contain letters, numbers, spaces, and special characters. Our task is to determine whether the string is a valid palindrome after removing all non-alphanumeric characters and ignoring letter case.

Key Observations

  • Only letters (a–z, A–Z) and digits (0–9) matter.
  • Uppercase and lowercase letters should be treated as equal.
  • The original order of characters must be respected.

Optimal Strategy: Two Pointer Technique

Instead of creating a new filtered string, we use two pointers to scan the original string from both ends. This allows us to validate the palindrome in a single pass while using constant extra space.

How the Algorithm Works

  1. Initialize two pointers:
    • Left pointer at the start of the string
    • Right pointer at the end of the string
  2. Move the left pointer forward until it points to an alphanumeric character.
  3. Move the right pointer backward until it points to an alphanumeric character.
  4. Compare the characters at both pointers after converting them to lowercase.
  5. If they match, move both pointers inward and continue.
    If they do not match, the string is not a palindrome.
  6. If all valid characters match, return true.

Why This Approach Is Optimal

  • Time Complexity: O(n) — each character is visited at most once.
  • Space Complexity: O(1) — no additional data structures are used.
  • Avoids unnecessary memory allocation caused by string preprocessing.

Two Pointer Pattern Summary

The two-pointer pattern is a powerful technique used when a problem involves traversing a sequence from both ends. It is especially effective when comparisons or condition checks are required between elements at symmetric positions.

When to Use Two Pointers

  • Palindrome checks (strings or arrays)
  • Removing duplicates from sorted arrays
  • Reversing arrays or strings in-place
  • Finding pairs with a given condition (sum, difference, etc.)
  • Partitioning problems

Common Two Pointer Variants

  • Opposite-direction pointers: One starts from the beginning, the other from the end.
  • Same-direction pointers: Both move forward but at different speeds.
  • Fast & Slow pointers: Often used in cycle detection and linked list problems.

Why Two Pointers Are Important

This pattern helps convert brute-force solutions into optimal ones by reducing time complexity from O(n²) to O(n) and minimizing space usage. Mastering this pattern is essential for solving array and string problems efficiently in coding interviews.

Comments

Popular posts from this blog

How do I run Python on Google Colab using android phone?

Regardless of whether you are an understudy keen on investigating Machine Learning yet battling to direct reproductions on huge datasets, or a specialist playing with ML frantic for extra computational force, Google Colab is the ideal answer for you. Google Colab or "the Colaboratory" is a free cloud administration facilitated by Google to support Machine Learning and Artificial Intelligence research, where frequently the obstruction to learning and achievement is the necessity of gigantic computational force. Table of content- What is google colab? how to use python in google colab? Program to add two strings given by the user. save the file in google colab? What is google colab? You will rapidly learn and utilize Google Colab on the off chance that you know and have utilized Jupyter notebook previously. Colab is fundamentally a free Jupyter notebook climate running completely in the cloud. In particular, Colab doesn't need an arrangement, in addition to the notebook tha...

Introducing CodeMad: Your Ultimate Universal IDE with Custom Shortcuts

Introducing CodeMad: Your Ultimate Multi-Language IDE with Custom Shortcuts Welcome to the world of CodeMad, your all-in-one Integrated Development Environment (IDE) that simplifies coding and boosts productivity. Developed in Python, CodeMad is designed to make your coding experience smoother and more efficient across a variety of programming languages, including C, C++, Java, Python, and HTML. Whether you're a beginner or an experienced programmer, CodeMad is your go-to tool. In this blog, we'll dive deep into the workings of CodeMad, highlighting its unique features and easy installation process. The Power of Shortcuts CodeMad's intuitive interface is built around a set of powerful keyboard shortcuts that make coding a breeze. Here are some of the key shortcuts you'll find in CodeMad: Copy (Ctrl+C) : Duplicate text with ease. Paste (Ctrl+V) : Quickly insert copied content into your code. Undo (Ctrl+Z) and Redo (Ctrl+Y) : Correct mistakes and s...

LeetCode 88 Explained: Four Approaches, Mistakes, Fixes & the Final Optimal Python Solution

Evolving My Solution to “Merge Sorted Array” A practical, beginner-friendly walkthrough showing four versions of my code (from a naive approach to the optimal in-place two-pointer solution). Includes explanations, complexity and ready-to-paste code. Problem Summary You are given two sorted arrays: nums1 with size m + n (first m are valid) nums2 with size n Goal: Merge nums2 into nums1 in sorted order in-place . Version 1 — Beginner Approach (Extra List) I merged into a new list then copied back. Works, but not in-place and uses extra memory. class Solution: def merge(self, nums1, m, nums2, n): result = [] p1 = 0 p2 = 0 for _ in range(m+n): if p1 >= m: result.extend(nums2[p2:n]) break elif p2 >= n: result.extend(nums1[p1:m]) break elif nu...