Version 25.3.9469

You can use third-party libraries when writing Python in CData Arc. In the Jep Java API, you can choose between two types of Python interpreters:

• SharedInterpreter
• SubInterpreter

Keep the following in mind when you configure your Arc environment to use Python.

Use SharedInterpreter if:

• You are new to running Python scripts in Arc.
• You are using third-party libraries like NumPy.

Use SubInterpreter if:

• You require parallel script execution.
• Full third-party library support is not important to you.

This behavior is controlled by the SHARED_INTERPRETER environment variable. If you set the environment variable SHARED_INTERPRETER=false, Arc uses SubInterpreter.

If you do not set the environment variable, or you explicitly set it to true, Arc defaults to SharedInterpreter.

Note: While Arc restricts access to modules based on the value of ScriptingEngineHardeningLevel, it cannot fully guarantee that third-party libraries installed on the system abide by these rules. Use this with caution in highly controlled environments.