Raj Kamal Shakya's Projects
Hacktoberfest® is open to everyone in our global community. Whether you’re a developer, student learning to code, event host, or company of any size, you can help drive growth of open source and make positive contributions to an ever-growing community. All backgrounds and skill levels are encouraged to complete the challenge. This event is being conducted to create awareness about open-source community and enable the students to learn about github devolopment techniques.
Hactoberfest -2021
A community-led mentorship initiative to help beginners kickstarting their open-source journey by completing Hacktoberfest'21 challenge | Curated list of beginner-friendly issues for Hacktoberfest 2021 | Raise PR to add your issues
Make your first PR! ~ A beginner friendly repository made specifically for open source beginners. Add your profile, a blog or any program under any language (it can be anything from a hello-world program to a complex data structure algorithm) or update the existing one. Just make sure to add the file under the correct directory. Happy hacking!
This repository is made for absolute beginners who want to make their first pull request to get eligibility for HactoberFest-2021.
Contribute to this repo for hacktoberfest
A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star star to support this project!
Repository for Hactoberfest2021
Hactoberfest2021
for fest
Add anything about data structure and algorithm in any language.
Hacktoberfest2021
Raise Genuine PRs only. Your PRs will be accepted, keep patience. Star This Repo. You aren't allowed to Update README.md
This repo is for new user to contribute under hacktoberfest tag
Any one can add their programs here ,but program should not be repeated.
This is a beginner-friendly repo for everyone participating in Hacktoberfest2021. Raise genuine PRs and they will be merged quickly!
quizzes/assignments for mathematics for machine learning specialization on coursera
my personal website, built using Logr