Skip to content

developedbyjay/data-structures-and-algorithms-implementation

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Data Structures and Algorithms Implementation

This repository provides implementations of various data structures and algorithms

Getting Started

  • Fork the Repository
  • Create your own copy of this repository by clicking the "Fork" button.
  • Clone Your Fork
  • Open Git Bash on your local machine and clone your forked repository using the following command:

    git clone https://github.com/Tolulopeelijah/data-structures-and-algorithms-implementation.git

    Make Changes Locally: Navigate to the cloned directory using cd:

    cd data-structures-and-algorithms-implementation

    Now you can edit the code and documentation files using your preferred text editor.

    Contributing

    How to contribute

  • Improve Algorithms: Enhance existing algorithms by optimizing their performance or readability.
  • Enhance Documentation: Provide clearer explanations within the code comments or improve the overall README documentation.
  • Reformat Code: Ensure code adheres to consistent style conventions for better maintainability.
  • Add New Algorithms: Implement new data structures and algorithms that you find interesting.
  • Contribution Workflow

    Stage Changes: Add the files you've modified to the staging area using the git add command:

    git add .

    Commit Changes: Create a commit snapshot with a descriptive message summarizing your changes:

    git commit -m "Improved sorting algorithm efficiency" (Replace the string with a brief of the changes made)

    Push Changes: Push your committed changes to your forked repository on the hosting platform:

    git push origin main

    Create a Pull Request: Go to your forked repository and initiate a pull request to submit the changes made

    About

    My implementation of some data structures and algorithms

    Resources

    Stars

    Watchers

    Forks

    Releases

    No releases published

    Packages

    No packages published

    Languages

    • Python 100.0%