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!

Comments

Post a Comment

Popular posts from this blog

Is Java the new COBOL? Yes. What does that mean, exactly? (Part 1)

Image
"If you want to know the past, look at your present. If you want to know the future, look at your present." -- Gautama Buddha Java is the new COBOL, whaaaat?     If you are software developer that mainly writes applications for the web; even if you aren't a Java/J2EE developer, you have probably heard the new meme circulating the web and blogosphere. "Java is the new COBOL" . Most blogs and technical writers regurgitate that statement and follow-up by saying that EJBs suck, and some companies are considering Ruby on Rails. I didn't really think much of these posts. I get the impression that a lot of these "managers" don't write any Java or COBOL code. They are really not highlighting the seriousness of the problem. COBOL development has remained stagnant for decades. Java may see the same problem in the future. The Pentagon/DOD has a trillion dollar COBOL problem because it is so difficult to change their ancient infrastructure. Anyon
Read more

On Unit Testing, Java TDD for developers to write

It has been a while, let's kick off 2017 with a blog entry. I have read and I am reading about four or five posts a day about unit testing. It really has been a long time obsession for me. I have moved past the technical and practical considerations on unit testing frameworks and done with the debates with "should you use Junit or Mockito or Karma?" I am more interested in the psychology of unit testing, who does it, likes it, hates it? It really is one of those easy to learn, hard to master concepts. For example, many many may play chess when they are young and can end up being horribly chess players most of their life, I am part of that majority. Unfortunately, I have never played chess and sat down for hours and tried to master it. I never see the common patterns or have a developed end game. I mostly just play with a knowledge of the basic rules. Following good unit testing practices within your software development shop is a lot like playing chess. It is easy to le
Read more

JVM Notebook: Basic Clojure, Java and JVM Language performance

Image
"Measure, don't guess. The primary goal of all performance tuning exercises should be maximize the end user experience given the resource constraints." [1] "It isn't so much a "farewell to the J" as an expansion of the platform opportunities Java provides. Sun's investment to power ongoing development of JRuby and Jython broadens the range and reach of Java, as a whole." -- Rick Ross Overview and JVM Languages    One of the exciting trends to recently emerge from the Java community is the concept of the JVM language. These technologies are all that you would expect them to be. They are implementations of languages that run on the Java Virtual Machine. Some are newly created and some are based on existing, more mature languages. JRuby, Jython are two JVM languages based on CRuby and CPython. Groovy, Scala, Clojure are three completely new JVM languages that were created to add new language features that weren't supported by the core Ja
Read more