Structure of This Guide

This section explains how the content of this guide is organized.

Structure

To make this guide easy to follow, I've organized the website into several main sections. Here's how it's laid out:

  1. Prerequisites: Before diving into complex topics, this folder ensures you have the fundamental knowledge needed:

    • Basic programming concepts
    • Algorithmic complexity
    • Mathematical foundations
    • Recursion and other core concepts
    • Prerequisites

  2. Data Structures: This section covers essential data structures like:

    • Arrays and strings
    • Linked lists
    • Stacks and queues
    • Trees and graphs
    • Hash tables and more
    • Data Structures

  3. Algorithms: Once you're comfortable with data structures, we move on to algorithms:

    • Sorting algorithms
    • Searching algorithms
    • Dynamic programming
    • Graph algorithms
    • Pattern-based approaches
    • Algorithms

  4. Problem Sets: This folder contains carefully curated problems to practice:

    • Company-wise interview problems from the past 6 months
    • Important problems that are frequently asked
    • Links to recommended LeetCode problem lists
    • Topic-wise practice problems
    • Problem Sets

  5. Miscellaneous: Additional helpful resources:

    • Algorithmic complexity table for quick reference
    • Interview preparation tips
    • Language-specific implementations
    • Other useful resources
    • Miscellaneous

Each section builds upon the previous ones, creating a structured learning path. Whether you're preparing for interviews or building a strong foundation in DSA, you'll find resources tailored to your needs.

The content in each section serves two purposes:

  1. Comprehensive learning material for first-time study
  2. Quick reference notes for revision before interviews