Welcome to the DSA with Java repository! Here, I document my journey learning Data Structures and Algorithms (DSA) in Java. This repository aims to serve as both a record of my own progress and a helpful resource for anyone new to DSA, particularly those working with Java.
This project is a blend of personal exploration and a learning guide. As I tackle new concepts and coding challenges, I update this repository with my notes, solutions, and observations. You'll find implementations of essential data structures and algorithms, along with explanations of the concepts behind them.
Goal: Make DSA accessible to beginners by sharing clear code examples, explanations, and learning resources, especially for those on their own DSA journey.
This repository reflects my continuous learning curve in the vast field of DSA. As I progress from basics to more advanced topics, each section documents:
- Code Samples: Java implementations of DSA concepts.
- Theory: Explanations of each topic, with a focus on helping beginners understand fundamental concepts.
- Problem Solving: Solutions and approaches for various coding challenges that apply these concepts.
For more of my work, feel free to visit my GitHub profile: Shrarn
If you're new to both Java and DSA, here’s a roadmap to help you get started:
- Java Fundamentals: Ensure you’re comfortable with Java basics, including syntax, OOP principles, and common libraries.
- Intro to DSA: Begin with foundational data structures like Arrays and Linked Lists.
- Move to Algorithms: Start with simple algorithms such as linear and binary search, and work your way up to more advanced ones like sorting, dynamic programming, and graph traversal.
- Familiarity with basic programming concepts.
- Java Development Kit (JDK) installed on your machine.
| Folder | Description |
|---|---|
| Arrays | Core array operations, manipulations, and challenges. |
| LinkedLists | Singly, doubly, and circular linked lists in Java. |
| Stacks & Queues | Common operations and practical applications of stacks and queues. |
| Trees | Binary trees, binary search trees, and tree traversal methods. |
| Graphs | Implementing graphs and exploring graph traversal algorithms. |
| Sorting & Searching | Different sorting algorithms, from bubble sort to quicksort, with performance analysis. |
| Dynamic Programming | Problem-solving approaches using dynamic programming techniques. |
Each section includes code samples, comments, and sometimes explanations to help reinforce understanding.
- Practice Consistently: DSA requires practice. Challenge yourself to code each concept multiple times.
- Understand Core Concepts: Avoid rote memorization; instead, grasp the underlying logic of each data structure and algorithm.
- Apply Knowledge: Test your skills by solving problems on LeetCode, HackerRank, or GeeksforGeeks.
- Visualize: Use visualization tools like VisuAlgo to see how algorithms work, especially for complex data structures like trees and graphs.
Follow this repository to see real-time progress as I explore each DSA concept.
This repository is a learning space for anyone interested in DSA with Java. If you have suggestions, solutions, or improvements, feel free to contribute by creating a pull request or opening an issue.
Here’s a collection of resources I’ve found helpful:
- Java Documentation: Oracle Java Documentation
- GeeksforGeeks: Excellent explanations and examples on data structures and algorithms.
- LeetCode & HackerRank: Practice problems tailored for DSA and competitive programming.
- Coding YouTube Channels: Follow channels like "Code with Harry" and "The Cherno" for video-based learning.
This project is open-source and available for use under the MIT License.
Happy coding, and let’s make DSA with Java an exciting journey! 🌱