This post is part of the complete guide on Git and Github
Here is how you can upload a file or a folder to your Github repository using Git Bash.
Before you can start, you need to:
- Understand the basics of Gits
- Have created a repository on Github
- Have cloned the repository locally.
How to Push a File or Folder to Github
To push a folder or to sync a file from your local folder to your remote Github repository:
- Move your file to the cloned repository
- Open Git Bash
- Go to the current directory where you want the cloned directory to be added.
Input
cdand add your folder location. You can add the folder location by dragging the folder to Git bash.$ cd '/c/Users/j-c.chouinard/My First Git Project'
- Add the file and stage it for commit
$ git add 'yourFileName.py‘ - Commit the file to your local repository
$ git commit -m 'yourFileName.py‘ - Push the changes to Github
$ git push origin masterFor simplicity, I considered that you have not built work branches and that you commit straight to the master branch.
After all of this, your file will be committed to your Github repository.
Git Push Recap
In the command line, go to the root directory where your local files are. Optionally initialize the local directory (git init). Add the your file changes (git add) and commit your changes (git commit). Finally, push your changes of the local file or repository to GitHub (git push).
Git Cheatsheet
To learn more about Git Commands, check out this Git Cheatsheet.
| git config | Setup user information |
| git init | Initialize a repository as a Git repository |
| git clone [url] | Clone a local repository from Github |
| git add [file path] | Add file or folder to your commit staging |
| git commit -m “[message]” | Commit staged content |
| git push [alias] [branch] | Push commit to Github |
You now know how to push a folder to Github and to upload files to repository using git.
SEO Strategist at Tripadvisor, ex- Seek (Melbourne, Australia). Specialized in technical SEO. In a quest to programmatic SEO for large organizations through the use of Python, R and machine learning.
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