TM1py is a Python package used for data integration, predictive modeling, and scripting.

The latest version of TM1py has:
– Optimized read/write operations
– Functions for parent-child relationships
– Search functions
– CubeCalc library
– Feature to query acute data in conjunction with element attributes.

In this session, you will learn about new and already existing features that the free and open-source TM1py has to offer for your TM1 models.

Marius Wirtz will walk you through a range of common challenges and illustrate how the new and existing TM1py features can be used to solve concrete problems, such as:
– Integrate TM1 with cloud systems (e.g., Workday, NetSuite, Salesforce)
– Automate manual works in TM1
– Leverage Python’s AI capabilities in TM1