This is a repository containing a Python package coded in Go, with the motive of providing ML support.

Support open source software by participating in Hacktoberfest and get goodies and digital badges! 💙

Please check all issues labelled as hacktoberfest to start contributing!

Kindly consider leaving a ⭐ if you like the repository and our organisation.

• Fork it.

• Clone your forked repo and move inside it:

git clone https://github.com/IEEE-VIT/pykitzoid.git && cd pykitzoid

• Checkout to a new branch to work on an issue:

git checkout -b my-amazing-feature

• Get started working!

• Once you're all done coding, it's time to open a PR :) Run the following commands from the root of the project directory:

git add .

git commit -m "A short description about the feature."

git push origin <my-amazing-feature>

Open your forked repo in your browser and then raise a PR to the main branch of this repository!

To start contributing, check out CONTRIBUTING.md. New contributors are always welcome to support this project. If you want something gentle to start with, check out issues labelled easy or good-first-issue. Check out issues labelled hacktoberfest if you are up for some fun hacktoberfest goodies! :)

See the LICENSE file for license rights and limitations (MIT).