Top 10 Coding Concepts You Must Master Before Any Interview
1. Time & Space Complexity
Learn Big-O notation to analyze how efficient your code is.
2. Recursion
Understand base and recursive cases.
Practice problems like factorial, Fibonacci, and tree traversal.
3. Sorting Algorithms
Know how Bubble, Merge, Quick, and Insertion Sort work.
Focus on time complexities and when to use each.
4. Two Pointers
Ideal for array and string problems such as palindrome checks, duplicates, and pair sums.
5. Sliding Window
Essential for subarray problems like maximum sum or longest substring.
6. Binary Search
A must for sorted data problems.
Also useful for solving range-based or search space problems.
7. Hashing
Use hash maps to store counts, frequencies, or index positions.
Common in anagram, duplicate, and pattern problems.
8. Greedy Algorithms
Make the locally optimal choice at each step.
Great for interval scheduling, coin change, and activity selection problems.
9. Dynamic Programming
Break problems into smaller subproblems.
Master memoization, tabulation, and common patterns like Fibonacci, Knapsack, and LIS.
10. Graphs
Understand DFS, BFS, cycle detection, and shortest path algorithms (e.g., Dijkstra’s).
Practice problems on connected components and topological sorting.
Tip: Focus on understanding patterns not just memorizing solutions.
❤️Save this list and keep refining your problem-solving foundations.