Data Science & AI Workbench provides several minimal Python environments, along with a Python Essentials and an R Essentials template environment, to help you get started developing your projects. These project templates are pre-solved conda environments with a curated set of pre-installed packages. Creating a new project from one of these templates clones the environment for exclusive use by that project. You can then 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 dropdown when you create a new 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.