https://github.com/atomhudson/dsa
Data Structures and Algorithms
https://github.com/atomhudson/dsa
dsa dsa-algorithm dsa-learning-series dsa-practice dsalgo eclipse-ide intellij-idea java java-8 jdk jdk17 springtoolsuite
Last synced: 8 months ago
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Data Structures and Algorithms
- Host: GitHub
- URL: https://github.com/atomhudson/dsa
- Owner: atomhudson
- Created: 2024-05-07T18:06:01.000Z (about 2 years ago)
- Default Branch: master
- Last Pushed: 2024-12-31T13:15:11.000Z (over 1 year ago)
- Last Synced: 2025-01-30T17:38:33.998Z (over 1 year ago)
- Topics: dsa, dsa-algorithm, dsa-learning-series, dsa-practice, dsalgo, eclipse-ide, intellij-idea, java, java-8, jdk, jdk17, springtoolsuite
- Language: Java
- Homepage:
- Size: 1.71 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 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](#introduction)
- [Prerequisites](#prerequisites)
- [Topics Covered](#topics-covered)
- [Data Structures](#data-structures)
- [Algorithms](#algorithms)
[//]: # (- [Setup Instructions](#setup-instructions))
[//]: # (- [Contributing](#contributing))
[//]: # (- [License](#license))
## 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 Algorithm_and_Practice.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)