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20 followers · 16 following

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Achievements

Achievement: QuickdrawAchievement: StarstruckAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

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adamstirtan/README.md

Hi, I'm Adam 👋 💻

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I'm a software engineer, husband, father and the world's okayest guitar player. I have written code you've used, I've been blogging for years and coding for many more.

I have been using .NET since its first introduction. Today I proudly live in Burlington, Ontario, I started ClassZoo.ca, a school management app you'll love to use. I've worked as a software architect in FinTech, EdTech and logistics in engineering management and as an individual contributor. I'm a speaker at technical events and I write articles about software development.

Languages and tools

Visual Studio

C#

.NET Core

Azure

Vue

HTML5

CSS3

JavaScript

SQL

Git

GitHub

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  1. ParticleSwarmSharp ParticleSwarmSharp Public

    ParticleSwarmSharp is a fast, extensible, multi-platform and multithreading C# Particle Swarm Optimization library that simplifies the development of applications using Particle Swarm Optimization …

    C# 6

  2. DiscordBotTutorial DiscordBotTutorial Public

    Create your own Discord bot using C# and .NET with this template.

    C# 8 1

  3. raytracer raytracer Public

    An extensible and easy to understand ray tracer made with C# and .NET

    C# 5

  4. typing-game typing-game Public

    This is a typing game made with Phaser 3 with my son when he was 8 years old!

    HTML 24

  5. Ray Tracer in C# Ray Tracer in C#
    1 
    class RayTracer
    2 
    {
    3 
        public Camera camera;
    4 
        public List<Object> objects;
    5 
        public List<Light> lights;
  6. Particle Swarm Optimization in Python Particle Swarm Optimization in Python
    1 
    import numpy as np
    2 
    
              
    
              
    
                3
                
    def basic_pso(cost_function, bounds, num_particles, num_iterations):
    
              
    
              
    
                4
                
        # Initialize the positions and velocities of the particles
    
              
    
              
    
                5
                
        positions = np.random.uniform(bounds[0], bounds[1], (num_particles, len(bounds[0])))
    
              
    
          
    
    
    
  
    

    7.