Video Tutorial Series

1. Introduction and Welcome

2.0 - Introduction

2.1 - Review of the Documentation

2.1.1 - Installing PySWMM on Windows (IDLE/PIP)

2.1.2 - Installing PySWMM on Ubuntu/Linux (IDLE/PIP)

2.1.3 - Installing PySWMM on MacOS (IDLE/PIP)

2.2.1 - Using Python Virtual Environments

3.1 - Running a model and Extracting Basics

This session will also provide a more detailed review, using an example model, of the documentation as pertaining to Nodes, Links, Subcatchments, and Simulation options to introduce to the user where to find things in the documentation. .. Ok this video is actually 12 minutes so prepare 2 coffees! Geez, everybody is a critic!

3.2 - Discussing sim.step_advance()

4.1 - Basic example of results extraction and the use of a plotter

This lesson will provide guidance on scraping time series data out of a running simulation and Extracting results out of the binary OUT file!  And yes.. it's even longer than 5 minutes... it's a whopping 15 mins!!! Three cups of coffee!!!

4.2 - Basic Example using swmmio to plot Interactive Map-Based results

4.3 - Basic Example of plotting a sewer profile with results

4.4 - Basic example of extracting totalized results from a model while running or after

4.5 - Examples for extracting water quality data

4.6 - Provide examples on extracting LID results

5.1 - A demonstration of how to inject flow at a node

5.2 - A demonstration of setting rain gauge rainfall rates

6.1 - A simple toy model is presented to show how you can programmatically control a link and general limitations / rules about swmm controls while using the step_advance function.

6.2 - This video shows how pyswmm can be used with extensions to control or optimize LID

7.1 - PySWMM Callbacks!

7.2 - PyStorm Features (openstorm.org) 

7.3 - StormReactor with PySWMM

8.1 - A video that shows how to contribute to open source SWMM/PySWMM