https://github.com/cosdensolutions/code/blob/master/videos/long/react-developer-roadmap-2024/roadmap.md
React Roadmap
React Roadmap
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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
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!
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
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
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
1. Two Sum (LeetCode #1)
- Hash table for efficient lookup
2. Best Time to Buy and Sell Stock (LeetCode #121)
- Track minimum price and maximum profit
3. Product of Array Except Self (LeetCode #238)
- Left and right product arrays
4. Maximum Subarray (LeetCode #53)
- Kadane’s algorithm
5. Find Minimum in Rotated Sorted Array (LeetCode #153)
- Modified binary search
6. Search in Rotated Sorted Array (LeetCode #33)
- Two-pass binary search
7. Subarray Sum Equals K (LeetCode #560)
- Cumulative sum with hash map
8. Merge Sorted Array (LeetCode #88)
- Start from end, compare and place
9. Find All Numbers Disappeared in an Array (LeetCode #448)
- In-place array manipulation
- Hash table for efficient lookup
2. Best Time to Buy and Sell Stock (LeetCode #121)
- Track minimum price and maximum profit
3. Product of Array Except Self (LeetCode #238)
- Left and right product arrays
4. Maximum Subarray (LeetCode #53)
- Kadane’s algorithm
5. Find Minimum in Rotated Sorted Array (LeetCode #153)
- Modified binary search
6. Search in Rotated Sorted Array (LeetCode #33)
- Two-pass binary search
7. Subarray Sum Equals K (LeetCode #560)
- Cumulative sum with hash map
8. Merge Sorted Array (LeetCode #88)
- Start from end, compare and place
9. Find All Numbers Disappeared in an Array (LeetCode #448)
- In-place array manipulation
LeetCode
Two Sum - LeetCode
Can you solve this real interview question? Two Sum - You are given an array of integers nums and an integer target, return indices of the two numbers such that they add up to target.
You may assume that each input would have exactly one solution, and you…
You may assume that each input would have exactly one solution, and you…
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Interview Prep Resources:
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Interview Prep channels:
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Coding Challenges:
🚉 Big Frontend Dev https://bigfrontend.dev/
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🎥 Chirag Goel https://lnkd.in/gyAiiqC5
Frontend youtube channels
🎥 Traversy Media https://lnkd.in/gJ8QTCMe
🎥 Clever Programmer https://lnkd.in/gXng7wxc
🎥 Net Ninja https://lnkd.in/gE6QqjFW
🎥 Web Dev Simplified https://lnkd.in/gsdTQUCh
🎥 Academind https://lnkd.in/g-8pEbxP
🎥 Dev Ed https://lnkd.in/g6A4__zE
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🎥 JavaScript Mastery https://lnkd.in/gqm9avMQ
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Interview Prep Resources:
📁 Front End Interview Handbook https://lnkd.in/gdM3y45V
📁 JavaScript Interview Questions https://lnkd.in/gmR36jc7
📁 JavaScript Code Challenges https://lnkd.in/gFtMnp5
📁 React Interview Questions https://lnkd.in/g_CRt4CP
📁 Tech Interview Handbook https://lnkd.in/g5VZFe-v
📁 JavaScript Questions MCQ https://lnkd.in/gke3i8g
📁 Frontend Mini Challenges https://lnkd.in/gjenycz9
📁 FreeCodeCamp Interview Prep https://lnkd.in/gfyh9mRn
📁 The DOM Challenge https://lnkd.in/gUH27Mk5
📗 Interview Ant https://lnkd.in/grahKbHR
Interview Prep channels:
🎥 Namaste JavaScript https://lnkd.in/gh2-zfhk
🎥 Devtools Tech Frontend Interview Series https://lnkd.in/gDQQHXpy
🎥 RoadsideCoder https://lnkd.in/g-DrYUwS
🎥 JS Cafe https://lnkd.in/g7gMB6Yg
🎥 Uncommon Geeks https://lnkd.in/guY8DdvZ
Coding Challenges:
🚉 Big Frontend Dev https://bigfrontend.dev/
🚉 Great Frontend Dev https://lnkd.in/g3p4aGgF
🚉 Frontend Mentor https://lnkd.in/gxqWe7Ru
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🚉 Mister DA https://lnkd.in/gJDeXZVB
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LinkedIn
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Complete Placement Questions
https://drive.google.com/drive/folders/1Fqr4QWLOkQm_XXRIXnmCfudfg5R5Q3uU
https://drive.google.com/drive/folders/1Fqr4QWLOkQm_XXRIXnmCfudfg5R5Q3uU
AI ML Resources
https://docs.google.com/document/d/1nHLOqbDW2rNW988LRTcIncfLkCNrtO5FtjFzCctS1n8/mobilebasic
https://docs.google.com/document/d/1nHLOqbDW2rNW988LRTcIncfLkCNrtO5FtjFzCctS1n8/mobilebasic
Google Docs
ML Mastery | Sambhav Athreya
Machine Learning Mastery Sambhav Athreya As you work through the resources / notebooks I’ll provide, keep tracking yourself through the following checklist: Regression Linear and Logistic Gradient Descent Classification k-NN, Decision Trees, Random Forests…