LeetCode Solutions

🧠 Why This Repository Exists

I'm practicing to master data structures, algorithms, and problem-solving patterns. This repository serves as my personal learning journey through LeetCode problems, helping me:

  • Build algorithmic thinking and problem-solving skills
  • Master fundamental data structures (arrays, linked lists, trees, graphs, etc.)
  • Learn advanced algorithms (dynamic programming, binary search, two pointers, etc.)
  • Track my progress and identify areas for improvement
  • Create a reference library of solutions for future review

Progress Overview

Current Status

  • Problems Solved: 90+ / 2000+ (LeetCode total)
  • Success Rate: ~95%
  • Streak: Active daily practice
  • Languages: Python (primary), TypeScript (secondary)

Difficulty Breakdown

Difficulty Count Percentage
🟢 Easy ~40 44%
🟡 Medium ~45 50%
🔴 Hard ~5 6%

Recent Activity

  • Last Solved: Multiple problems this week
  • Focus Areas: Dynamic Programming, Graph Algorithms
  • Next Goals: Advanced tree problems, system design concepts

🧩 Topics Covered

Mastered

  • Arrays & Strings - Two pointers, sliding window, prefix sums
  • Hash Tables - Lookup optimization, frequency counting
  • Binary Search - Standard and rotated array variations
  • Two Pointers - Array manipulation, linked list operations
  • Basic Dynamic Programming - Memoization, tabulation

🔄 In Progress

  • Advanced DP - State compression, optimization techniques
  • Graph Algorithms - BFS, DFS, topological sorting
  • Tree Structures - Binary trees, BST operations
  • Advanced Data Structures - Heaps, Tries, Union-Find

📚 Planned

  • System Design - Scalability, distributed systems
  • Advanced Algorithms - Segment trees, advanced graph algorithms
  • Competitive Programming - Advanced optimization techniques

📋 Problem Checklist

Core Data Structures

Topic Easy Medium Hard Total
Arrays 15 20 2 37
Strings 8 12 1 21
Linked Lists 1 4 0 5
Trees 0 0 0 0
Graphs 0 2 0 2
Stacks/Queues 2 3 0 5

Algorithmic Techniques

Technique Easy Medium Hard Total
Hash Tables 8 12 0 20
Two Pointers 6 15 0 21
Binary Search 2 8 0 10
Dynamic Programming 0 8 0 8
Greedy 0 6 0 6
Backtracking 0 3 0 3
Sliding Window 1 1 0 2

Problem Categories

Category Count Mastery Level
Array Manipulation 25
String Processing 18
Hash Table Usage 20
Binary Search 10
Dynamic Programming 8
Two Pointers 21
Linked Lists 5
Graphs 2
Stacks/Queues 5

🎯 Learning Roadmap

Phase 1: Fundamentals

  • Basic array operations
  • String manipulation
  • Hash table implementations
  • Two pointer techniques
  • Basic binary search

Phase 2: Intermediate 🔄

  • Dynamic programming basics
  • Linked list operations
  • Stack and queue problems
  • Greedy algorithms
  • Tree traversal algorithms
  • Graph basics (BFS/DFS)

Phase 3: Advanced 📚

  • Advanced DP techniques
  • Advanced tree structures
  • Graph algorithms
  • System design concepts
  • Competitive programming

Phase 4: Mastery 🏆

  • Advanced optimization
  • Algorithm design
  • Interview preparation
  • Teaching others

This repository contains my solutions to various LeetCode problems. Each solution is implemented in Python and follows a consistent structure.

📊 Statistics

  • Total Problems Solved: 90+
  • Languages: Python, TypeScript
  • Difficulty Distribution: Easy, Medium, Hard

📁 Solutions Index

🔢 Arrays & Strings

Easy

Medium

🔗 Linked Lists

🌳 Trees & Graphs

🧮 Dynamic Programming

🎯 Two Pointers

🗃️ Hash Tables

📚 Stacks & Queues

🔄 Backtracking

🎲 Greedy

🔢 Math

🧮 Bit Manipulation

🏗️ Design

🔗 Union Find

📊 Sorting

🔄 Recursion

🎯 Sliding Window

📐 Geometry

🔍 Divide and Conquer

📝 String Manipulation

📊 Matrix

🔢 Counting

📈 Progress Tracking

Difficulty Distribution

  • Easy: ~40 problems
  • Medium: ~45 problems
  • Hard: ~5 problems

Top Problem Types

  1. Arrays & Strings - Most common
  2. Hash Tables - Frequently used technique
  3. Two Pointers - Efficient array manipulation
  4. Binary Search - Optimization problems
  5. Dynamic Programming - Complex problem solving

🛠️ Solution Structure

Each solution follows a consistent structure:

  • Standard library imports
  • Type hints for better code clarity
  • Solution class with required method
  • Clean, readable implementation
  • Proper comments and documentation

🎯 Learning Focus Areas

Based on the solutions, key areas of expertise include:

  • Array manipulation and two-pointer techniques
  • Hash table optimization for lookups
  • Binary search for efficient searching
  • Dynamic programming for complex problems
  • String manipulation and palindrome problems
  • Linked list operations and cycle detection

📚 Resources


This index is automatically generated and organized by problem categories and difficulty levels. Each solution includes the relevant tags and techniques used.

Description
No description provided
Readme MIT 260 KiB
Languages
Python 85.3%
Shell 12%
JavaScript 2.7%