Comprehensive collection of efficient HackerRank solutions with video tutorials for 30 Days of Code, Algorithms, Data Structures, and Interview Preparation.

This repository contains efficient HackerRank solutions for most HackerRank challenges with video tutorials.

• HackerRank solutions in Java with clean, optimized code
• 30 Days of Code complete solutions
• Algorithms & Data Structures tutorials
• Interview Preparation Kit solutions
• Cracking the Coding Interview problems solved
• Video explanations for complex problems
• Problem-solving strategies for coding interviews

Whether you're preparing for coding interviews, learning DSA, or solving HackerRank challenges, you'll find comprehensive solutions and explanations here.

While solving HackerRank problems, outputs often get messy — especially JSON, arrays, or logs.

To quickly clean and format them, I use DataFormatterPro:

DataFormatterPro — format JSON, CSV & logs

Useful for:

• Formatting JSON / CSV outputs
• Making examples readable before submission
• Sharing clean solutions in discussions

• 30 DAYS OF CODE

• JAVA

• ALGORITHMS

• CRACKING THE CODING INTERVIEW

• DATA STRUCTURES

• GENERAL PROGRAMMING

• IMPLEMENTATION

• INTERVIEW PREPARATION KIT

• TOP 10 LEARNING RESOURCES

  Coding environment used- Windows 8.1, Eclipse Oxygen, JAVA 8

1. The Interview Bible Most Engineers Swear By

2. A Complete Guide to Mastering DSA & Algorithms

3. How Top Engineers Actually Design Algorithms

4. The Go-To DSA Resource for Java Developers

5. One Book That Simplifies Data Structures End-to-End

6. Learn Algorithms Visually (Perfect for Beginners)

7. The Best Starting Point for Dynamic Programming

8. The Gold Standard Algorithm Reference Used Worldwide

9. Interview-Focused Problem Solving (Real Questions)

10. A No-Nonsense Guide to Cracking Programming Interviews

DISCLAIMER: This above mentioned resources have affiliate links, which means if you buy one of the product from my links, I’ll receive a small commission. This commission does not cost the customer anything extra. This helps support the channel and allows us to continue to add more tutorial. Thank you for the support!

*NOTE: All above shared learning resources are best of my knowledge as I have personally read all except one Introduction to Algorithms.