How to use Pyhton with IRIS

To use Python with InterSystems IRIS, you have several options:

1. Embedded Python in IRIS Environment: You can create methods in IRIS and specify that they use Python by adding [ Language = python ] at the end of the method's name and specifications. This allows you to use Python code within IRIS methods, access arguments, and call class methods similarly to how you would in ObjectScript [1].

2. ObjectScript in Python Environment: If you are in a Python environment and need to use ObjectScript, you can import the iris module, create a connection to the desired namespace, and use the connection to access IRIS methods and objects. This involves setting up the necessary prerequisites, such as having the required drivers and ensuring you can use a Python external server [1].

3. Native Python API: You can use the irisnative module to connect to IRIS from a Python script. This involves creating a connection to the IRIS database and using the irisnative.createIris method to interact with IRIS objects and globals [2].

4. Using Jupyter Notebooks: You can use Jupyter Notebooks with IRIS by installing the ipython-iris-magic package, which allows you to run ObjectScript commands and SQL queries directly from a notebook. This setup does not require any special configuration on IRIS or the notebook [3][4].

5. Docker and VS Code: You can set up a development environment using Docker and VS Code, which allows you to work with IRIS and Python seamlessly. This setup includes using Jupyter Notebooks, Flask for web applications, and various Python kernels [5][6].

For detailed steps and examples, refer to the respective articles:
- For embedded Python and ObjectScript in Python environment: [1]
- For using the Native Python API: [2]
- For using Jupyter Notebooks with IRIS: [3][4]
- For setting up Docker and VS Code: [5][6]