The Python programming language has boomed in popularity over the past decade, in part due to its versatility and ease-of-use. It connects with AnyLogic through the Pypeline library which enables interaction with any locally installed version of Python.
This webinar recording provides a short high-level executive summary with use cases followed by a deeper technical dive and examples showing how you can incorporate Pypeline into your simulation models and use it in an optimal way.
- Pypeline Overview: what it is and how it can be used
- Installation and Configuration
- How Pypeline communicates with Python
- Passing and Receiving Data: from single values to complex, nested data structures – including agents and populations
- Using Pypeline in a Simulation Model: Recommended Workflow
- Example models
Find out more about the library and how it allows you to call Python from within a running AnyLogic simulation model on GitHub