Project Bonus 🎉:
1. Try to implement virtual memory / vRAM.
2. Create some kind of service that is running on the background and checking for malicious packets.
3. Create a Proxy server and use caching to cache the response so that it does not hit the server again when it is requested to fetch the same request.
1. Try to implement virtual memory / vRAM.
2. Create some kind of service that is running on the background and checking for malicious packets.
3. Create a Proxy server and use caching to cache the response so that it does not hit the server again when it is requested to fetch the same request.
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!