Unlock the secrets of Data Structures and Algorithms with these powerful patterns! 🌟Once you grasp these, solving DSA problems becomes a breeze. Here are 20 essential coding patterns you need to know:
1. ✌️ Two Pointers
2. 🏝️ Island (Matrix Traversal)
3. ⏩ Fast & Slow Pointer
4. 🚶‍♂️ Sliding Window
5. 📅 Merge Intervals
6. 🔄 Cyclic Sort
7. 🔙 In-place Reversal of a Linked List
8. 🌳 Tree Breadth First Search
9. 🌲 Tree Depth First Search
10. ⚖️ Two Heaps
11. 🌈 Subsets
12. 🔍 Modified Binary Search
13. 🏆 Top ‘K’ Elements
14. ❌⭕ Bitwise XOR
15. 🔄 Backtracking
16. 🎒 0/1 Knapsack (Dynamic Programming)
17. 🔗 Topological Sort (Graph)
18. 🧩 K-way Merge
19. 📏 Monotonic Stack
20. 🤹‍♂️ Multi-threaded

Common DSA Patterns Syllabus: [Level Easy]

1. Arrays & Strings  
 - Two Sum   
 - Valid Parentheses   
 - Group Anagrams
2. Linked Lists   
- Reverse Linked List   
- Merge Two Sorted Lists   
- Linked List Cycle
3. Trees   
- Maximum Depth of Binary Tree   
- Validate Binary Search Tree   
- Lowest Common Ancestor of BST
4. Dynamic Programming   
- Climbing Stairs   
- Coin Change   
- Longest Increasing Subsequence

5. Graphs   
- Clone Graph   
- Course Schedule   
- Number of Islands

6. Recursion & Backtracking   
- Subsets   
- Permutations   
- N-Queens

7. Sorting & Searching   
- Merge Intervals   
- Search in Rotated Sorted Array   
- Kth Largest Element in an Array

8. Design   
- LRU Cache   
- Implement Trie (Prefix Tree)   
- Design Twitter

Solve these questions consistently, understand the patterns, and optimize your solutions. Remember, quality over quantity!

[Level Medium]

1. Arrays & Strings
- 3Sum
- Longest Substring Without Repeating Characters
- Minimum Window Substring\

2. Linked Lists
- Add Two Numbers
- Reorder List
- Copy List with Random Pointer

3. Trees
- Binary Tree Level Order Traversal
- Kth Smallest Element in a BST
- Serialize and Deserialize Binary Tree

4. Dynamic Programming
- Unique Paths
- Decode Ways
- Maximum Product Subarray

5. Graphs
- Surrounded Regions
- Pacific Atlantic Water Flow
- Minimum Height Trees

6. Recursion & Backtracking
- Combination Sum
- Word Search
- Generate Parentheses

7. Sorting & Searching
- Top K Frequent Elements
- Find Peak Element
- Search a 2D Matrix II

8. Design
- Insert Delete GetRandom O(1)
- Design Underground System
- Design Tic-Tac-Toe

9. Greedy
- Jump Game
- Gas Station
- Partition Labels

10. Bit Manipulation
- Single Number II
- Bitwise AND of Numbers Range
- Counting Bits

11. Two Pointers
- 3Sum Closest
- Minimum Size Subarray Sum
- Palindromic Substrings

12. Heap
- Merge k Sorted Lists
- Top K Frequent Words
- Find Median from Data Stream

[Level Hard]
1. Arrays & Strings
- Minimum Window Substring
- Trapping Rain Water
- Largest Rectangle in Histogram

2. Linked Lists
- Merge k Sorted Lists
- Reverse Nodes in k-Group
- LFU Cache

3. Trees
- Binary Tree Maximum Path Sum
- Serialize and Deserialize Binary Tree
- Vertical Order Traversal of a Binary Tree

4. Dynamic Programming
- Edit Distance
- Burst Balloons
- Shortest Common Supersequence

5. Graphs
- Alien Dictionary
- Minimum Cost to Make at Least One Valid Path in a Grid
- Swim in Rising Water

6. Recursion & Backtracking
- N-Queens II
- Sudoku Solver
- Word Search II

7. Sorting & Searching
- Count of Smaller Numbers After Self
- Median of Two Sorted Arrays
- Split Array Largest Sum

8. Design
- Design Search Autocomplete System
- Design In-Memory File System
- Design Excel Sum Formula

9. Greedy
- Minimum Number of Arrows to Burst Balloons
- Candy
- Patching Array

10. Bit Manipulation
- Maximum Product of Word Lengths
- Smallest Sufficient Team
- Minimum Cost to Connect Two Groups of Points

11. Two Pointers
- Minimum Window Subsequence
- Minimum Operations to Make a Subsequence
- Minimum Adjacent Swaps to Reach the Kth Smallest Number

12. Heap
- Minimum Number of Refueling Stops
- Sliding Window Median
- Minimum Number of K Consecutive Bit Flips