This leaves you utterly underwhelmed by the predictive tools at your disposal, and completely overwhelmed by the massive decisions looming. The problem is you have a complex operation with infinite variables and interactions that just don’t fit on a pivot table. About SimWellĪt SimWell, we know you’re a trailblazing business leader, and it’s your job to make confident, informed decisions. Interested in obtaining an AnyLogic license? Click here to schedule a call.
For help on the Python API for AnyLogic click here to schedule a call.įor additional information, consult AnyLogic’s Cloud official documentation here and Python codes here. While its current applications are still limited, we can expect new functionalities in the near future considering Python’s popularity between programmers and engineers. Python’s new capabilities with AnyLogic are expected to increase its functionality for simulation projects. In addition, the mean server utilization was also reduced from 0.83 to 0.31, representing additional idle time that should be further optimized. Print("Server utilization = " + str(outputs.value("Utilization|Server utilization")))īy increasing the server capacity from 3 to 8, the mean queue size was reduced from 2.54 to 1 agents. Print("Mean queue size = " + str(outputs.value("Mean queue size|Mean queue size")))
Print("For Server Capacity = " + str(inputs.get_input("Server capacity"))) Print("Raw outputs = " + str(outputs.get_raw_outputs())) # Print the simulation model outcome values Outputs = simulation.get_outputs_and_run_if_absent() Simulation = client.create_simulation(inputs) # Creat a simulation object with the inputs # Change the "Server Capacity" parameter value Inputs = client.create_inputs_from_experiment(version, "Baseline") # Create an Inputs object with the default input values
Version = client.get_latest_model_version("Service System Demo") # Obtain latest model version of "Service System Demo" model # Creat a CloudClient object, given the API keyĬlient = CloudClient("e05a6efa-ea5f-4adf-b090-ae0ca7d16c20") Service System Demo.py # Load anylogiccloudclient libraryįrom _client import CloudClient To start using the Python API for AnyLogic, install the AnyLogic cloud client library using pip package installer: This Python new functionality with AnyLogic represents a great tool for when required to run and experiment with AnyLogic simulation models in a computer that do not has the AnyLogic software installed. Python API for AnyLogicĪnyLogic simulation models stored in your personal AnyLogic Cloud account can be configured and run programmatically through a Python API for AnyLogic to obtain experimental results and evaluate multiple scenarios by changing parameters values. This new functionality is expected to bring potential benefits to AnyLogic and Python users in the development, configuration and experimentation of their simulation models. data science, machine learning, artificial intelligence, big data, data visualization, optimization, statistics) and its compatibility with other programs have contributed to its increasing popularity among professionals and academics from multiple fields.ĪnyLogic, a leading simu lation software for business applications utilized worldwide by over 40% of Fortune 100 companies, has recently integrated a Python API for AnyLogic to work on simulation models stored on your personal AnyLogic Cloud. Being a free open-source language, having a large variety of libraries for multiple purposes (e.g. According to the analyst firm RedMonk, Python ranks second on the latest ranking of programming language popularity, just below JavaScript. Python represents one of the world’s most popular programming languages. The Python API for AnyLogic provides a powerful way to take your simulation models to the next level. Integrating Python with AnyLogic for Simulation Modeling Python + AnyLogic
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