Exploring My GitHub Projects: Java, Scala, and Beyond

 As a developer based in the Atlanta area, I have had the pleasure of working on a variety of interesting projects, primarily focusing on Java programming and unit testing. Today, I want to share some of my favorite projects from my GitHub repository and discuss the technologies and methodologies I employed.

Java Projects

  1. Simplest HTTP Server
    One of my notable projects is a simple HTTP web server written in Java. This server demonstrates basic networking and multithreading concepts, using ServerSocket and Socket classes to handle client requests. This project is a great example of how to set up a lightweight server for educational purposes or simple applications. You can check out the project here.

  2. Double Buffering Example
    This project showcases a simple Java 2D graphics application that implements double buffering to reduce flickering. It’s a foundational concept for game development and interactive graphics. The project illustrates the use of JPanel and Graphics classes to manage off-screen drawing. Explore the project here.

Scala Projects

  1. Insertion Sort in Scala
    Transitioning from Java to Scala, I implemented the insertion sort algorithm based on a Haskell implementation. This project highlights the power of functional programming and recursion in Scala. By converting a classic algorithm from Haskell to Scala, I demonstrate the versatility of Scala in handling algorithmic problems. The source code is available here.

Haskell Projects

  1. Euler Problems in Haskell
    I also enjoy experimenting with Haskell, and one of my projects focuses on solving Project Euler problems using an imperative approach. This project is an excellent example of leveraging Haskell's functional programming features to tackle mathematical problems. You can dive into the project here.

Other Interesting Projects

  1. Markov Chain Text Generator
    In this project, I implemented a text generator using Markov chains. The system trains on input data and generates random text based on word frequencies and transition probabilities. This project is a fascinating dive into natural language processing and probabilistic models. You can explore the implementation here.

Each of these projects demonstrates a different aspect of my skills and interests, from building fundamental data structures and algorithms to exploring advanced topics like probabilistic modeling and functional programming. I encourage you to explore these projects further and connect with me on GitHub.

By showcasing these projects, I hope to provide insight into my development process and inspire others to dive deeper into these exciting areas of programming. Feel free to reach out if you have any questions or if you’re interested in collaborating on future projects.

Happy coding!

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