Data Science & AI Workbench provides several base Anaconda environments, along with Python, R, and Spark and Hadoop environments, to help you get started developing your project. Project templates are pre-solved conda environments where a number of packages have already been installed. Creating a new project from one of these templates clones the environment for use by the project. From there, you can use anaconda-project commands to customize the project environment as needed. These configuration changes will persist for the project environment, but will not affect the environment template. To use one of the available templates, select it from the Environment list when you create your project:
If the provided template environments do not suit your needs, you can create custom environments and include them as templates for your users. For more information, see Configuring persistent environments and sample projects.