Interoperability of systems ensures smooth workflow and management of data in today's connected digital world. InterSystems IRIS extends interoperability a notch higher with its Embedded Python feature, which lets developers seamlessly integrate Python scripts into the IRIS components, like services, operations, and custom functions.

Why Embedded Python in IRIS?
Embedded Python brings the flexibility of Python into the powerful world of InterSystems IRIS and provides the following: Access to Python Libraries: Leverage popular libraries such as pandas, NumPy, and requests for advanced data processing.
Ease of Use: Python simplifies the implementation of complex logic.
Efficient Interoperability: Develop services, operations, and transformations directly within IRIS, reducing the need for external tools.

Below is the code I tried to implement for a python business operation:

from iris import irisnative  

class SamplePythonOperation:  
    def on_message(self, request):  
        # Connect to IRIS  
        conn = irisnative.createConnection("localhost", 1972, "USER", "_SYSTEM", "SYS")  
        iris_obj = irisnative.createIRIS(conn)  

        # Log the request message  
        iris_obj.set("Received: " + request.get("MessageText"), "MyApp", "Log")  

        # Process the request  
        response = "Hello, " + request.get("MessageText")  
        return {"Result": response}  

Embedded Python in InterSystems IRIS allows developers to leverage the flexibility of Python with the robustness of IRIS for interoperability solutions. In transforming data, building APIs, or integrating external systems, traditional expectations are that Embedded Python is a revolution for modern applications.

Use Embedded Python today, and discover new avenues of seamless interoperability!