Data Structures and Algorithms

Welcome to the Data Structures and Algorithms (DSA) repository! This repository contains a collection of problems, solutions, and resources aimed at helping you strengthen your understanding and implementation skills in DSA. The content is designed for intermediate learners who have a basic understanding of programming and want to deepen their knowledge in DSA.

Contents

• Introduction
• Prerequisites
• Topics Covered
  • Data Structures
  • Algorithms

Introduction

This repository is designed for individuals who have a basic grasp of programming and are looking to enhance their understanding of data structures and algorithms. The problems and solutions provided here will help you build a strong foundation in DSA, preparing you for technical interviews and advanced coursework.

Prerequisites

To get the most out of this repository, you should have:

• Basic programming knowledge in a language like Java, Python, or C++
• Understanding of basic programming concepts such as variables, loops, and conditionals
• Familiarity with basic data structures (arrays, linked lists) and algorithms (sorting, searching)

Topics Covered

Data Structures

1. Arrays and Strings

   • Dynamic arrays and array manipulation
   • String operations and pattern matching

2. Linked Lists

   • Singly linked lists
   • Doubly linked lists
   • Circular linked lists

3. Stacks and Queues

   • Stack operations and applications
   • Queue operations and applications
   • Priority queues and heap implementation

Algorithms

1. Sorting Algorithms

   • Bubble sort, selection sort, insertion sort
   • Merge sort, quick sort, heap sort
   • Counting sort, radix sort, bucket sort

2. Searching Algorithms

   • Linear search, binary search
   • Search algorithms in data structures (BST, hash table)

3. Recursion and Backtracking

   • Recursive algorithms and problems
   • Backtracking algorithms and applications (N-Queens, Sudoku)