Configure PyCharm as a Local IDE

Cloudera Data Science Workbench supports using local IDEs on your machine that allow remote execution and/or file sync over SSH, such as PyCharm. This topic describes the tasks you need to perform to configure Cloudera Data Science Workbench to act as a remote SSH interpreter for PyCharm. Once finished, you can use PyCharm to edit and sync the changes to Cloudera Data Science Workbench. To perform actions such as deploying a model, use the Cloudera Data Science Workbench web UI.
Before you begin, ensure that the following prerequisites are met:
  • You have an edition of PyCharm that supports SSH, such as the Professional Edition.
  • You have an SSH public/private key pair for your local machine that is compatible with PyCharm. If you use OpenSSH to generate the key, include the -m PEM option because PyCharm does not support modern (RFC 4716) OpenSSH keys.
  • You have Contributor permissions for an existing Cloudera Data Science project. Alternatively, create a new project you have access to.