This integration is particularly valuable for data scientists and developers who need a robust, secure development environment with advanced machine learning and data analysis capabilities, all while maintaining efficient version control.
HOW-TO do it in GCP
Jump into Vertex AI Workbench and get JupyterLab running - it's pretty straightforward, just like opening your favorite code editor.
Head over to your GitHub repo and grab that HTTPS URL from the Code button - you know, the green one that's always hanging out there.
Alternative, in JupyterLab, hit up the Git menu and pick "Clone a Repository" or then just drop that URL you copied. Simple as that.
Hit enter and watch your repo pop up in your workspace. Done and dusted
Head over to your GitHub repo and grab that HTTPS URL from the Code button - you know, the green one that's always hanging out there.
Alternative, in JupyterLab, hit up the Git menu and pick "Clone a Repository" or then just drop that URL you copied. Simple as that.
Hit enter and watch your repo pop up in your workspace. Done and dusted
