Last modified: Jan 31 2026 at 10:09 PM • 2 mins read

Easy Problems

Table of contents

1. Overview
2. Problem Categories
3. Solved Problems
4. Key Patterns for Easy Problems
5. Tips for Easy Problems

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Overview

Easy problems focus on fundamental programming concepts and basic algorithm patterns. These problems are excellent for:

• Building confidence with coding interviews
• Learning essential data structures
• Understanding basic algorithmic thinking
• Practicing clean code implementation

Problem Categories

Arrays & Strings

• Two-pointer techniques
• Array manipulation
• String processing

Math & Logic

• Basic mathematical operations
• Bit manipulation
• Number theory problems

Data Structures

• Hash tables (dictionaries)
• Sets and basic operations
• Stack and queue basics

Solved Problems

Problems will be added as they are solved

Key Patterns for Easy Problems

1. Two Pointers

def two_pointer_example(arr):
    left, right = 0, len(arr) - 1
    while left < right:
        # Process arr[left] and arr[right]
        left += 1
        right -= 1

2. Hash Table Lookup

def hash_table_example(arr, target):
    seen = {}
    for i, num in enumerate(arr):
        if target - num in seen:
            return [seen[target - num], i]
        seen[num] = i

3. Single Pass

def single_pass_example(arr):
    result = 0
    for num in arr:
        result += num  # Process in one pass
    return result

Tips for Easy Problems

1. Read carefully - Understand constraints and edge cases
2. Start simple - Brute force first, optimize later
3. Test thoroughly - Consider empty inputs, single elements
4. Clean code - Easy problems are about implementation clarity
5. Pattern recognition - Many easy problems reuse similar patterns

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Solutions will be added as problems are solved and documented.