DSA Preparation Journey

Introduction

Welcome to my Data Structures and Algorithms (DSA) preparation journey! In this README, I'll share my progress, resources, and strategies for mastering DSA concepts. Whether you're a beginner or looking to enhance your skills, I hope this journey inspires you.

Goals

1. Solid Foundation: Understand fundamental DSA concepts.
2. Problem Solving: Solve a variety of problems using DSA techniques.
3. Interview Readiness: Prepare for technical interviews.

Resources

Online Platforms

• LeetCode
• HackerRank
• GeeksforGeeks

Strategies

1. Learn the Basics:

   • Understand time complexity, space complexity, and common data structures (arrays, linked lists, stacks, queues, trees, graphs).
   • Master sorting algorithms (bubble sort, merge sort, quicksort).

2. Practice Regularly:

   • Solve problems daily. Start with easy ones and gradually move to more complex ones.
   • Focus on different problem-solving techniques.

3. Analyze Solutions:

   • Understand why a solution works.
   • Optimize code.

4. Mock Interviews:

   • Practice mock technical interviews.
   • Improve communication and problem-solving skills.

Progress

• Arrays level-0
• Basic Sorting Algorithms level-0
• Strings level-0
• Linked Lists level-0
• Stacks level-0
• Heap level-0
• Queues level-0
• Trees level-0
• Graphs level-0
• Dynamic Programming level-0
• Backtracking level-0
• Arrays level-1
• Basic Sorting Algorithms level-1
• Strings level-1
• Linked Lists level-1
• Stacks level-1
• Heap level-1
• Queues level-1
• Trees level-1
• Graphs level-1
• Dynamic Programming level-1
• Backtracking level-1

Feel free to join me on this journey! Let's conquer DSA together.