# Data Science Notebook

### JupyterHub

Click on JupyterHub from left menu or click on QuickStart Jupyterhub, it will open up new secure window with your same user credentials

![](https://1376249458-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fa64V7CmYDmio6qa5xPUN%2Fuploads%2FfbaPUzvE3rGDyoBAIVlV%2FJupyterHub.png?alt=media\&token=f2f724b1-f086-4c2d-b99d-e1e6791f1815)

### Server Options

Select server options for your Data Science run time environment with number of CPU core and RAM and click on start.

![](https://1376249458-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fa64V7CmYDmio6qa5xPUN%2Fuploads%2Fz5L42vywiFFakM1k9LVM%2FServerOption.png?alt=media\&token=e153cecf-a5b5-41c9-af3d-3f858eb2126d)

### Data Science Runtime Environment

Start Data science Python environment from JupyterHub launcher and open sample notebook for quick test.

![](https://1376249458-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fa64V7CmYDmio6qa5xPUN%2Fuploads%2FWDNobwm5J8qspS7Sd2Yu%2FScreen%20Shot%202022-01-02%20at%203.47.34%20PM.png?alt=media\&token=d339a88c-752b-4f38-9943-3f9e1782d50c)

Databeanstalk pre-load many example use case notebooks for you in your home directory.