Difficulty Levels

Understanding Easy, Medium, and Hard problems.

Overview

Easy Problems

What to expect:

• Direct implementation
• Basic loops and conditionals
• Simple array/string operations
• Math operations

Example topics:

• Two Sum
• Palindrome check
• Array manipulation
• Basic sorting

Who should solve:

• Beginners learning syntax
• Warming up before harder problems
• Building confidence

Medium Problems

What to expect:

• Multiple data structures
• Common algorithm patterns
• Some optimization needed
• Edge cases matter

Example topics:

• Binary search applications
• Two pointers
• Hash maps
• Basic dynamic programming
• Tree traversals

Who should solve:

• Intermediate developers
• Interview preparation
• Learning new patterns

Hard Problems

What to expect:

• Complex algorithms
• Multiple techniques combined
• Optimization critical
• Tricky edge cases

Example topics:

• Advanced DP
• Graph algorithms
• Segment trees
• Complex math
• System design

Who should solve:

• Advanced developers
• Competitive programmers
• Seeking challenges

Progression Strategy

Week 1-2: Easy problems only (build foundation)
Week 3-4: Mix of Easy (30%) and Medium (70%)
Week 5-8: Medium focus with occasional Hard
Week 9+:  All levels combined

Rating Correlation

Don't skip Easy problems — they build intuition!