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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.