✅ Top 6 Tips to Pick the Right Tech Career in 2025 🚀💻

1️⃣ Start with Self-Discovery
– Do you enjoy building things? Try Web or App Dev 🏗️
– Love solving puzzles? Explore Data Science or Cybersecurity 🧩🔒
– Like visuals? Go for UI/UX or Design Tools 🎨

2️⃣ Explore Before You Commit
– Try short tutorials on YouTube or free courses 📺
– Spend 1 hour exploring a new tool or language weekly ⏱️

3️⃣ Look at Salary + Demand
– Research in-demand roles on LinkedIn & Glassdoor 💼
– Focus on skills like Python, SQL, AI, Cloud, DevOps ☁️🐍

4️⃣ Follow a Real Career Path
– Don’t just learn random things 🤔
– Example: HTML → CSS → JS → React → Full-Stack 🗺️

5️⃣ Build, Don’t Just Watch
– Make mini projects (to-do app, blog, scraper, etc.) 🛠️
– Share on GitHub or LinkedIn 🚀

6️⃣ Stay Consistent
– 30 mins a day beats 5 hours once a week 꾸준히
– Track your learning and celebrate progress 🎉

💡 You don’t need to learn everything — just the right thing at the right time.

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✅ Top 50 DSA (Data Structures & Algorithms) Interview Questions 📚⚙️

1. What is a Data Structure?
2. What are the different types of data structures?
3. What is the difference between Array and Linked List?
4. How does a Stack work?
5. What is a Queue? Difference between Queue and Deque?
6. What is a Priority Queue?
7. What is a Hash Table and how does it work?
8. What is the difference between HashMap and HashSet?
9. What are Trees? Explain Binary Tree.
10. What is a Binary Search Tree (BST)?
11. What is the difference between BFS and DFS?
12. What is a Heap?
13. What is a Trie?
14. What is a Graph?
15. Difference between Directed and Undirected Graph?
16. What is the time complexity of common operations in arrays and linked lists?
17. What is recursion?
18. What are base case and recursive case?
19. What is dynamic programming?
20. Difference between Memoization and Tabulation?
21. What is the Sliding Window technique?
22. Explain Two-Pointer technique.
23. What is the Binary Search algorithm?
24. What is the Merge Sort algorithm?
25. What is the Quick Sort algorithm?
26. Difference between Merge Sort and Quick Sort?
27. What is Insertion Sort and how does it work?
28. What is Selection Sort?
29. What is Bubble Sort and its drawbacks?
30. What is the time and space complexity of sorting algorithms?
31. What is Backtracking?
32. Explain the N-Queens Problem.
33. What is the Kadane's Algorithm?
34. What is Floyd’s Cycle Detection Algorithm?
35. What is the Union-Find (Disjoint Set) algorithm?
36. What are topological sorting and its uses?
37. What is Dijkstra's Algorithm?
38. What is Bellman-Ford Algorithm?
39. What is Kruskal’s Algorithm?
40. What is Prim’s Algorithm?
41. What is Longest Common Subsequence (LCS)?
42. What is Longest Increasing Subsequence (LIS)?
43. What is a Palindrome Substring problem?
44. What is the difference between greedy and dynamic programming?
45. What is Big-O notation?
46. What is the difference between time and space complexity?
47. How to find the time complexity of a recursive function?
48. What are amortized time complexities?
49. What is tail recursion?
50. How do you approach solving a coding problem in interviews?

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