This repository is dedicated to my advanced studies and practical explorations in Data Structures and Algorithms (DSA) using Java. It serves as both a personal learning journal and a public resource for anyone interested in mastering algorithmic problem-solving in Java.
The repository covers a structured progression through fundamental and advanced DSA topics, including:
- Core Java Foundations
- Algorithm Analysis
- Recursion and Divide & Conquer
- Stacks, Queues, and Deques
- Linked Lists and Iterators
- Trees and Binary Search Trees
- Priority Queues and Heaps
- Maps, Hash Tables, and Dictionaries
- Sorting Algorithms
- Graph Algorithms
- Advanced Data Structures
- Practical Problem Solving and Complexity Considerations
Each topic includes:
- Java source code implementations (
.javafiles) - Inline comments and explanations
- Occasional notes, exercises, or complexity analysis
- Programming Language: Java
- IDE / Editor: IntelliJ IDEA Community Edition
- Version Control: Git
- Repository Hosting: GitHub
All code is written and managed using Emacs, with Git for version control and synchronization.
- Strengthen theoretical understanding of data structures and algorithms.
- Build efficient and reusable Java implementations.
- Apply algorithmic reasoning to real-world computational problems.
- Contribute clean, well-documented examples for learners and developers.
This repository is primarily for personal academic study, but:
- Feedback, suggestions, and discussions are welcome.
- You may fork the repository for your own learning.
- Please provide credit if referencing or adapting any code from here.
If you find this repository helpful or want to collaborate on DSA or Java-related topics, feel free to:
- ⭐ Star this repository
- 📧 Reach out via GitHub profile
“Programs must be written for people to read, and only incidentally for machines to execute.”
— Harold Abelson