Configure and Use a Local IDE
The specifics for how to configure a local IDE to work with Cloudera Data Science Workbench are dependent on the local IDE you want to use.
- Establish an SSH endpoint with the cdswctl Command Interface Client.
- Configure the local IDE to use Cloudera Data Science Workbench as the remote interpreter.
- Optionally, sync files with tools (like mutagen, SSHFS, or the functionality built into your IDE) from Cloudera Data Science Workbench to your local machine. Ensure that you adhere to IT policies.
- Edit the code in the local IDE and run the code interactively on Cloudera Data Science Workbench.
- Sync the files you edited locally to Cloudera Data Science Workbench.
- Use the Cloudera Data Science Workbench web UI to perform actions such as deploying a model that uses the code you edited.
You can see an end-to-end example for PyCharm configuration here: Configure Pycharm as Local IDE .