Pypeline - A Python connector library for AnyLogic

⏲ Timestamps and links to library and q&a below ⬇

Pypeline webinar: A summary of Pypeline and its use cases followed by a deeper technical dive, including examples showing how you can incorporate Pypeline into your simulation models and use it in an optimal way.

Agenda:
00:00:00 Introduction
00:00:56 Agenda
00:01:54 Overview - What is Pypeline?
00:04:12 Overview - Why is Pypeline useful?
00:11:28 Installation process
00:13:31 Configuring the Communicator object
00:19:15 How Pypeline communicates with Python
00:25:55 Passing/receiving data (basics)
00:27:44 Passing/receiving data (advanced)
00:33:52 Recommendation #1: Local imports
00:36:08 Recommendation #2: Multiple statements
00:36:48 Recommendation #3: String formatting
00:38:02 Example model 1: Modified Lorenz Weather
00:43:49 Example model 2: Hospital (AI testbed)
00:48:24 Q&A - Introduction
00:49:03 Q&A - Writing entire Python scripts
00:50:42 Q&A - Benefit of JSON
00:52:50 Q&A - About training RL agents w/Pypeline
00:55:21 Q&A - About using Pypeline with Cloud
00:56:02 Q&A - About specific data/AI libraries with Pypeline
00:56:47 Q&A - Pypeline Documentation
00:57:43 Q&A - Pypeline source code
00:58:30 Q&A - Using Pypeline with AnyLogic PLE
00:58:56 Final statements

Pypeline Project - https://git.io/al_py
AnyLogic - https://www.anylogic.com/?utm_source=...
Q&A PDF with write-ups - https://www.anylogic.com/upload/pdf/q...

Hosted by Arash Mahdavi, AnyLogic AI Program Lead
Presented by Tyler Wolfe-Adam, Program Support Specialist

AnyLogic Simulation Platform - https://www.anylogic.com/?utm_source=...
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LinkedIn -   / the-anylogic-company  
Twitter -   / anylogicco  

#AnyLogic #Pypeline #Simulation #Python