Build a Strong Foundation in Data Structures and Algorithms with This Curated List of 60 LeetCode Problems! ??

Introduction

Welcome to your ultimate guide to building a strong foundation in Data Structures and Algorithms (DSA) with a handpicked list of 60 essential LeetCode problems! As someone who has solved 1000 LeetCode problems, I've curated these problems to help beginners start their journey in DSA.

Why This List?

• Beginner-Friendly: These problems are easy to understand and solve.
• Core Concepts: Each problem is crucial for understanding its specific DSA topic.
• Strategic Order: The topics are arranged from easy to hard to ensure a smooth learning curve.

How to Use This List?

1. Learn the Concept: Before diving into the problems, understand the DSA concept. For example, know that Binary Search is used on sorted arrays for efficient searching.
2. Understand Time Complexity: Learn the time complexity of different operations for each data structure to know when to apply which one.

Additional Resources

• Data Structures: GitHub Repo
• Python Syntax: GitHub Repo
• Algorithms Syntax: GitHub Repo

Problem Set:

Binary Search

1. Binary Search
2. Search Insert Position
3. Valid Perfect Square

Two Pointers

1. Move Zeroes
2. Reverse Words in a String III
3. Merge Sorted Array

Hash Table

1. Two Sum
2. Contains Duplicate

Stack

1. Valid Parentheses

Sliding Window

1. Longest Substring Without Repeating Characters
2. Longest Substring with At Most Two Distinct Characters
3. Minimum Size Subarray Sum

Linked List

1. Middle of the Linked List
2. Reverse Linked List
3. Remove Nth Node From End of List
4. Merge Two Sorted Lists
5. Linked List Cycle
6. Add Two Numbers

Greedy

1. Meeting Rooms II
2. Gas Station
3. Remove K Digits

Tree

1. Search in a Binary Search Tree
2. Binary Tree Inorder Traversal
3. Binary Tree Level Order Traversal
4. Same Tree
5. Lowest Common Ancestor of a Binary Search Tree

Heapq

1. Kth Largest Element in a Stream
2. Last Stone Weight
3. Maximum Product of Two Elements in an Array

Recursion

1. Power of Two

Dynamic Programming

1. Climbing Stairs
2. Pascal's Triangle
3. House Robber
4. Triangle
5. Jump Game II
6. Unique Paths
7. Minimum Path Sum
8. Edit Distance

Backtracking

1. Combinations
2. Permutations
3. Letter Case Permutation
4. Generate Parentheses
5. Combination Sum
6. Permutations II

Prefix Sum

1. Range Addition
2. Range Sum Query Immutable
3. Maximum Size Subarray Sum Equals K

Graph

1. Find If Path Exists in Graph
2. Flood Fill
3. Max Area of Island
4. 01 Matrix
5. All Paths from Source to Target

Breadth First Search

1. Rotting Oranges
2. N-ary Tree Level Order Traversal

Union-Find

1. Number of Provinces
2. Number of Connected Components in an Undirected Graph
3. The Earliest Moment When Everyone Become Friends

Bit Manipulation

1. Reverse Bits
2. Number of 1 Bits
3. Single Number

By tackling these problems, you'll gain a robust understanding of DSA and build a strong foundation for advanced concepts.

Happy coding! ???

Let's Connect:

If you found this list helpful, feel free to connect with me for more insights and resources. Let's grow together in this journey of mastering DSA!