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A diverse collection of code snippets and projects in various programming languages. From C# to JavaScript, explore implementations like SecureMsg, Integral area calculation, Geometry Dash, random password generation, and more. Feel free to delve into the code and enhance your programming skills!

Home Page: https://github.com/Kensukeken

License: MIT License

Python 6.28% TeX 10.13% C# 3.25% C++ 21.07% JavaScript 20.24% Lua 0.97% Java 34.58% HTML 0.97% CSS 0.29% MDX 2.00% Julia 0.20%
config github-config

my-stuff's Introduction

Welcome to My Stuff

Logo

Algorithms and Data Structures in Multiple Languages

This project contains implementations of various algorithms and data structures in TeX, C#, C++, Python, and JavaScript, along with documentation and notes.

Technologies

  • C# - Programming language for developing .NET applications.
  • C++ - General-purpose programming language.
  • Python - High-level programming language for general-purpose programming.
  • JavaScript - High-level programming language often used for web development.
  • TeX - Typesetting system used for creating technical and scientific documents.

Getting Started

To run the implementations, you will need the following:

  • A TeX distribution, such as TeX Live, for compiling the documentation.
  • A C# compiler, such as Visual Studio or Mono, for compiling the C# implementations.
  • A C++ compiler, such as GCC, for compiling the C++ implementations.
  • A JavaScript runtime, such as Node.js, for running the JavaScript implementations.
  • A Python interpreter, such as Python 3, for running the Python implementations.

To compile the documentation, navigate to the TeX folder and run pdflatex <filename>.tex.

To compile the C# implementations, navigate to the C# folder and run csc <filename>.cs.

To compile the C++ implementations, navigate to the C++ folder and run g++ <filename>.cpp.

To run the JavaScript implementations, navigate to the JavaScript folder and run node <filename>.js.

To run the Python implementations, navigate to the Python folder and run python <filename>.py.

Contributing

If you would like to contribute to the project, please follow the standard GitHub workflow of forking the repository and creating a pull request with your changes. Please ensure that your code follows the existing code style and is well-documented.

License

This project is licensed under the MIT License.

my-stuff's People

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