Very clean and conceptual Visualization of Linear Search Algorithm used in data Structures using various languages used in Web Technologies. We will be explaining this with the help of Step - by - Step tracking of algorithm.
Check CONTRIBUTING.md
for contributing guidelines
Star the repo by pressing the topmost-right button to start your wonderful journey.
You can get your own fork/copy of Linear Search Visualisation by using the Fork button at top-right of your screen.
NOTE: commands are to be executed on Linux, Mac, and Windows(using Powershell)
You need to clone (download) it to local machine using
$ git clone https://github.com/devclub-biet-jhansi/linear-search-visualisation.git
This makes a local copy of the repository in your machine.
Once you have cloned the linear-search-visualisation
repository in Github, move to that folder first using change directory command on Linux, Mac, and Windows(PowerShell to be used).
# This will change directory to a folder linear-search-visualisation
$ cd linear-search-visualisation
Move to this folder for all other commands.
Now Make your contribution on the project and commit your changes to a new branch
Whenever you are going to contribute. Please create a separate branch using command and keep your master
branch clean (i.e. synced with remote branch).
# It will create a new branch with name Branch_Name and switch to branch Folder_Name
$ git checkout -b BranchName
Create a separate branch for contribution and try to use the same name of the branch as of folder.
To switch to the desired branch
# To switch from one folder to other
$ git checkout BranchName
To add the changes to the branch. Use
# To add all files to branch Folder_Name
$ git add .
Type in a message relevant for the code reviewer using
# This message get associated with all files you have changed
$ git commit -m 'relevant message'
Now, Push your awesome work to your remote repository using
# To push your work to your remote repository
$ git push -u origin BranchName
Finally, go to your repository in the browser and click on compare and pull requests
.
Then add a title and description to your pull request that explains your precious effort.
Always feel free to drop a comment or create an issue if you find something missing. Our excellent contributors will always get it done.
Happy Coding 🎉🎉