Skip to content

Latest commit

 

History

History
58 lines (38 loc) · 2.54 KB

CONTRIBUTIONS.md

File metadata and controls

58 lines (38 loc) · 2.54 KB
Raw

Data Visualization in Python

About the Repository

Welcome to Data Visualization in Python! This repository aims to provide a comprehensive collection of Python libraries and techniques, useful for mechine learning enthusiasts and budding data scientists.

Key Features

  • Diverse Collection of Plotting/Optimisation Problems
  • Examples of multiple frequently used functions and techniques
  • Detailed Comments for Code Explanation
  • Active Participation in Hacktoberfest 2023

Contribution Guidelines

We're excited to have you join us in this journey of learning and contributing to open source. Follow these steps to get started:

  1. Fork this repository: Click the "Fork" button at the top-right of this page to create your copy of the repository.
  2. Clone the repository: Clone the repository to your local machine using the following command: 
    git clone https://github.com/YourUsername/Data-Visualization-in-Python.git
  3. Choose a topic: Browse through the available topics in the repository. Each topic is in its respective directory.
  4. Create a branch: Create a new branch for your contribution. For example, if you're working on the creating a scatterplot, create a branch like this: 
    git checkout -b scatterplt-contribution
  5. Make your changes: Solve a problem, add a new one, improve documentation, or help with code reviews. You can find problems and tasks in the respective topic directory.
  6. Commit your changes: After making your changes, commit them with a clear and concise message: 
    git commit -m "Added the code to create desired scatterplot"
  7. Push to your fork: Push your changes to your forked repository: 
    git push origin scatterplt-contribution
  8. Create a Pull Request (PR): Go back to the main repository on GitHub and create a new Pull Request from your branch. Provide a clear description of your contribution.
  9. Get your PR reviewed: Wait for the maintainers to review your PR. You may need to make additional changes based on their feedback.
  10. Be Responsible: Please adhere to our code of conduct and respect the guidelines outlined in our contributing guidelines.

Contributing Rules

  1. Contribute standard codes.
  2. Use proper file extensions for your file.
  3. Only one file per PR is allowed on this repository , web folder has an exclusion on this but you should mention the files in the issue you are creating.
  4. Plagiarism is depreciated.

Happy Contributing! ❤️