In the last article I demonstrated how to run a Python script with arguments from a Mo.net group projection task and return the results from the script back to Mo.net. In this third and final part of the Mo.net Loves Python series, I will reverse the scenario and use a Python script to call a Mo.net projection task.
Part two of our Mo.net Loves Python series. We look at how to run an existing Python-based Black Scholes model from a Mo.net group projection task, passing in arguments to define the vector size to use, and retrieving the completion message & run time from the Python script.
The first article in our Mo.net Loves Python series. We discuss how Mo.net and Python can be integrated in a range of different ways to meet a multitude of potential use cases.
Released in September 2021, the latest version of the platform includes a wealth of new features & functionality designed to meet the requirements of traditional insurers and start-ups. Whether you’re a new user or upgrading from an earlier version, here are some of the key enhancements you’ll find in Mo.net v7.5…