Valkey: The Open Source Alternative to Redis Backed by AWS, Google, Oracle - Cyber Kendra
https://www.cyberkendra.com/2024/03/valkey-new-alternative-to-redis.html?m=1
https://www.cyberkendra.com/2024/03/valkey-new-alternative-to-redis.html?m=1
Cyber Kendra
Valkey: The Open Source Alternative to Redis Backed by AWS, Google, Oracle
https://github.com/cosdensolutions/code/blob/master/videos/long/react-developer-roadmap-2024/roadmap.md
React Roadmap
React Roadmap
GitHub
code/videos/long/react-developer-roadmap-2024/roadmap.md at master · cosdensolutions/code
Source code for all Cosden Solutions videos. Contribute to cosdensolutions/code development by creating an account on GitHub.
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