Welcome to the DSA WITH JAVA repository! This project is designed to help you learn Data Structures and Algorithms (DSA) using the Java programming language. Whether you're a beginner or looking to brush up on your DSA skills, this roadmap will guide you through the process step-by-step.
Data Structures and Algorithms are fundamental concepts in computer science and play a crucial role in software development. This course will cover everything from the basics of Java to advanced algorithms, with plenty of practice exercises to reinforce your learning.
Before diving into this course, it is recommended to have a basic understanding of:
- Java programming language
- Object-oriented programming (OOP) principles
- Basic knowledge of variables, loops, conditionals, and functions in Java [If not, we will cover them in this course for beginners.]
- Introduction
- Prerequisites
- Roadmap
- Highlights
- How to Contribute
- Acknowledgments
- Contributors
- Author & Maintainer
- Happy Coding!
This course is structured as follows:
- Learn the Basics of Java
- Introduction to Java syntax, data types, operators, and control structures.
- Object-Oriented Programming (OOP) in Java
- Understanding classes, objects, inheritance, polymorphism, and encapsulation.
- Understand Time and Space Complexity
- Big O notation, analyzing algorithm efficiency.
- Data Structures
- Arrays, Linked Lists, Stacks, Queues, Hash Tables, Trees, and Graphs.
- Algorithms
- Sorting and Searching algorithms, dynamic programming, and graph algorithms.
- Advanced Data Structures
- Advanced tree structures, heaps, and tries.
- Advanced Algorithms
- Greedy algorithms, backtracking, and advanced graph algorithms.
- Practice and Problem Solving
- Practical exercises and problem-solving techniques.
- Continual Learning
- Resources for further learning and staying updated.
For detailed topics and practice exercises, please refer to the Roadmap.
| Folder | Description |
|---|---|
| Basics-of-Java | Contains .md files on Java basics, including syntax, data types, operators, and control structures. |
| Data Structures | Includes .md files covering various data structures such as arrays, linked lists, stacks, queues, hash tables, trees, and graphs. |
| OOPS | Contains .md files exploring Object-Oriented Programming concepts, including classes, objects, inheritance, polymorphism, and encapsulation. |
| Algorithms | Houses .md files focused on algorithms, including sorting, searching, dynamic programming, and advanced techniques. |
| PDFs_Of_All_Content | Contains PDF files for all the topics covered in the course, providing a comprehensive offline reference. |
Each folder is organized to provide a logical progression through the course material, starting from fundamental concepts and advancing to more complex topics. The .md files are designed to be thorough, beginner-friendly, and enriched with examples and practice exercises.
- Hands-On Learning: Dive into real-world scenarios and apply your knowledge through engaging exercises.
- In-Depth Exploration: Explore a wide range of topics, from foundational concepts to intricate algorithms.
- Collaborative Learning: Join a vibrant community where you can share insights, ask questions, and contribute improvements.
We welcome contributions from everyone! To contribute to this project, follow these steps:
-
Fork the Repository:
- Click on the "Fork" button at the top right corner of this repository page.
-
Clone the Repository:
git clone https://github.com/Amartya-007/DSA-WITH-JAVA.git cd DSA-WITH-JAVA -
Create a New Branch:
git checkout -b COLAB/NEW
-
Make Your Changes and Commit Them:
git add . git commit -m "Your commit message"
-
Push Your Changes to Your Forked Repository:
git push origin COLAB/NEW
-
Create a Pull Request:
- Go to your forked repository on GitHub.
- Click on the "Compare & pull request" button.
- Add a title and description to your pull request and submit it.
Thank you for considering contributing to this project! Your contributions will help make learning DSA with Java easier and more accessible to everyone.
We would like to thank the following contributors for their valuable contributions to this project:
- Name: Amartya Vishwakarma
- GitHub: Amartya-007
- Email: Amartya1820@gmail.com