Prerequisite
- You have completed :doc:`ADS CLI installation <../quickstart>`
- You have completed :doc:`Configuration <configure>`
Setup up your workstation for development and testing your code locally before you submit it as a OCI Data Science Job. This section will guide you on how to setup environment for -
- Building an OCI Data Science compatible conda environments on your workstation or CICD pipeline and publishing to object storage
- Developing and testing code with a conda environment that is compatible with OCI Data Science Notebooks and OCI Data Science Jobs
- Developing and testing code for running Bring Your Own Container (BYOC) jobs.
Note
- In this version you cannot directly access the Service provided conda environments from ADS CLI, but you can publish a service provided conda pack from an OCI Data Science Notebook session to your object storage bucket and then use the CLI to access the published version.
.. toctree:: :hidden: :maxdepth: 1 localdev/jobs_container_image localdev/vscode localdev/condapack localdev/jobs localdev/local_jobs localdev/local_pipelines localdev/local_deployment