Step 2: Configure your project¶
Every project has its own settings. The following options are important to consider when configuring a new project:
- In the Project menu, click .
A Hardware Tier is a representation of the compute resources that will be available. In addition to memory and CPU cores, you can also choose to use GPUs with hardware tiers.
The hardware tier dropdown menu lists your available options. The selected hardware tier will be used by default for all subsequent executions of code in the project. It can also be changed at any point in the future.
Click on the Hardware tier dropdown menu to choose the compute resource to execute your code on. Your options may look different from the image below.
1.1. Choose the smallest or default hardware tier for this tutorial.
This list of available hardware tiers is customizable by your Domino administrators. If you would like additional resources, contact your Domino administrator.
An Environment is a Domino abstraction on top of a Docker image, that provides additional flexibility and versioning, which allows you to configure the software, packages, libaries, and drivers that you need.
Domino comes with a default environment called the Domino Analytics Distribution, which includes Python, R, Jupyter, RStudio, and hundreds of data science related packages and libraries.
We’ll choose the Python 3 version.
Click on the Compute Environment dropdown menu to choose the Environment.
1.1. Choose the Python 3 version of the
Domino Analytics Distribution.
* Your compute environment dropdown will likely have different options.
If you’re interested in learning how to add more packages and customize or create your own Environment, see the help article on Domino Environments.
As the owner of the project, you can set different access levels for collaborators from the Collaborators and permissions panel.
Feel free to invite a colleague to be a Contributor to your project.
- (Optional) Enter the email or the username of the user that you would like to invite
- (Optional) Enter a welcome message to be sent to your collaborator
contributor role allows the invited user to read, write, and execute code in this project.
Visit the Collaborators and permissions support article for more information on the permissions for each collaborator role.