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DataHunt is a comprehensive collection of essential resources for data science

Home Page: https://github.com/Devparihar5/DataHunt

Jupyter Notebook 99.88% Python 0.08% Procfile 0.01% CSS 0.01% HTML 0.02% R 0.01%
data-science hacktoberfest hacktoberfest-accepted jupyter-notebook machine-learning python3 data-analysis data-visualization deep-learning machine-learning-algorithms nlp-machine-learning pyhton

datahunt-awesome-data-projects's Introduction

DataHunt: Awesome-Data-Projects

DataHunt is a comprehensive collection of essential resources for data science.

Author Platform Last Commit Issues Stars GitHub Language Size

To get started with contributing to this project, follow these steps:

Installation

  1. Clone the Repository: Clone the DataHunt repository to your local machine using the following command:

    git clone https://github.com/Devparihar5/DataHunt-Awesome-Data-Projects.git
  2. Start a New Branch: Create a new branch for your contributions. For more information on branching, refer to the "Contributing" section.

  3. Begin Your Contributions.

Steps to Follow:

1. Star The Repository 🌟

Click the "Star" button in the top-right corner to show your support for the project.

2. Fork it 🍴

Fork the DataHunt repository to create your copy. You can do this by clicking the "Fork" button on the DataHunt GitHub page.

3. Clone it 👥

Use the following command to clone the repository to your local machine:

$ git clone https://github.com/Your_Username/DataHunt-Awesome-Data-Projects.git

Navigate to the DataHunt folder using the cd command.

4. Set it up ⬆️

Make sure your local copy has a reference to your forked remote repository by running:

$ git remote -v
origin  https://github.com/Your_Username/DataHunt-Awesome-Data-Projects.git (fetch)
origin  https://github.com/Your_Username/DataHunt-Awesome-Data-Projects.git (push)

5. Sync it ♻️

Keep your local repository up-to-date with the original repository. Periodically update your local repository with these commands:

# Fetch all remote repositories and delete any deleted remote branches
$ git fetch --all --prune
# Switch to the 'main' branch
$ git checkout main
# Reset your local 'main' branch to match the 'upstream' repository's 'main' branch
$ git reset --hard upstream/main
# Push changes to your forked 'DataHunt' repo
$ git push origin main

6. Create a New Branch ‼️

Before contributing, create a separate branch and keep your 'main' branch clean. Use the following commands to create and switch to a new branch:

# Create a new branch with the specified name
$ git checkout -b BranchName

Make sure to use a branch name that matches the folder you're working on. To switch to the desired branch:

# Switch to the branch you want to work on
$ git checkout BranchName

Add your changes to the branch:

# Add all files to the branch
$ git add .

Commit your changes with a relevant message:

# Associate a message with the changes you made
$ git commit -m 'Your relevant message here'

Push your work to your remote repository:

# Push your work to your remote repository
$ git push -u origin BranchName

Contribution Rules📚:

  • You can make pull requests that break the rules; we accept them!
  • Do NOT add any build steps, e.g., npm install (we want to keep this a simple static site).
  • Do NOT remove other content.
  • Styling and code can be of any style or quality, as long as it works.
  • Try to keep pull requests small to minimize merge conflicts.

We will do our best to merge as much as possible from everyone. However, time is limited, and merge conflicts can be challenging. Thank you for your contributions!

datahunt-awesome-data-projects's People

Contributors

14-muskan avatar choudharyaryan avatar devparihar5 avatar piyushbhardwaj89 avatar technosoftrepos avatar

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