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Awesome Project Collection🔥

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Open Source Love Hacktober Badge Star Badge Contributions

This repository aims to help code beginners with their first successful pull request and open source contribution. 🥳

⭐ Feel free to use this project to make your first contribution to an open-source project on GitHub. Practice making your first pull request to a public repository before doing the real thing!

⭐ Make sure to grab some cool swags during Hacktoberfest by getting involved in the open-source community.

This repository is open to all members of the GitHub community. Any member can contribute to this project! 😁

What is Hacktoberfest? 🤔

A month-long celebration from October 1st to October 31st presented by Digital Ocean and DEV Community collaborated with GitHub to get people involved in Open Source. Create your very first pull request to any public repository on GitHub and contribute to the open-source developer community.

https://hacktoberfest.digitalocean.com/

Rules 🔥

To qualify for the official limited edition Hacktoberfest shirt, you must register here and make four Pull Requests (PRs) between October 1-31, 2022 (in any time zone). PRs can be made to any public repository on GitHub, not only the ones with issues labeled Hacktoberfest. This year, the first 40,000 participants who complete Hacktoberfest can elect to receive one of two prizes: a tree planted in their name, or the Hacktoberfest 2022 t-shirt.

Tip : Complete this process in GitHub (in your browser)

flowchart LR
    Fork[Fork the project]-->branch[Create a New Branch]
    branch-->Edit[Edit file]
    Edit-->commit[Commit the changes]
    commit -->|Finally|creatpr((Create a Pull Request))
    
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Star the repository by pressing the topmost-right button to start your wonderful journey.

Awesome contributors 🤩

Made with contributors-img.

Help Contributing Guides 👑

We love to have articles and codes in different languages and the betterment of existing ones.

Please discuss it with us first by creating a new issue.

🎉 🎊 😃 Happy Contributing 😃 🎊 🎉

Author 🙋‍♂️ : Find Me Here

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  • Jupyter Notebook 78.8%
  • JavaScript 6.5%
  • CSS 2.7%
  • Java 2.4%
  • EJS 2.3%
  • Python 1.9%
  • Other 5.4%