Practice CodingQuestions
Master the art of solving coding problems with structured practice. We are building fully optimized practice sections that cover every major topic - coming very soon.
What You Should Practice
Data Structures
- Arrays & Strings
- Linked Lists
- Trees & Graphs
- Heaps & Hash Maps
Algorithms
- Sorting & Searching
- Two Pointers
- Sliding Window
- Dynamic Programming
Problem Solving Patterns
- Backtracking
- Greedy
- Binary Search
- Recursion & Memoization
System Design Basics
- Complexity Analysis
- Trade-offs
- Scalability Thinking
- Edge Cases
How to Approach a Problem
Problem-Solving Flow
Time Complexity Hierarchy
Quick Mental Model
Think of every problem as a transformation of input → output. Identify the pattern first (two pointers? hash map? tree traversal?). The data structure you choose often decides the complexity.
Important Things to Keep in Mind
Understand before coding
Spend 5–10 minutes clarifying constraints, edge cases, and expected output before writing a single line.
Start with brute force
Get a correct (even if slow) solution first. Optimize only after you have a working baseline.
Talk through your approach
Explain your thought process out loud. This is how interviews work and it improves your own clarity.
Test edge cases early
Empty input, single element, duplicates, negatives, overflow — catch them before they catch you.
Analyze time & space
Always state Big-O for both time and space. Interviewers care about this as much as correctness.
Review & refine
After solving, revisit the problem 2–3 days later. Can you solve it faster? With better space?