Simulating Real-World Processes in Python With SimPy

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Joe Tatusko

27:48

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1 - SimPy - Intro.mp4

00:50

2 - SimPy - Getting Started.mp4

00:59

3 - SimPy - Deciding on a Simulation.mp4

01:33

4 - SimPy - Setting up the Environment.mp4

04:46

5 - SimPy - Defining Processes in the Simulation.mp4

05:42

6 - SimPy - Running the Simulation.mp4

02:07

7 - SimPy - Calculating Metrics.mp4

01:11

8 - SimPy - Selecting Parameters for the Simulation.mp4

02:23

9 - SimPy - Final Touches on the Simulation.mp4

03:48

10 - SimPy - Experimenting with the Simulation.mp4

03:21

11 - SimPy - Wrap Up.mp4

01:08

simpy Slides.pdf

simpy sample code.zip

Description

The real world is full of systems, like airports and highways, that frequently experience congestion and delay. When these systems are not optimized, their inefficiency can lead to countless unhappy customers and hours of wasted time. In this course, you’ll learn how to use Python’s simpy framework to create virtual simulations that will help you solve problems like these.

What You'll Learn?

Use a simulation to model a real-world process
Create a step-by-step algorithm to approximate a complex system
Design and run a real-world simulation in Python with simpy

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Python

Joe Tatusko

Instructor's Courses

Hey! I’m Joe Tatusko, an engineer with degrees in Chemistry and Materials Engineering.

My journey with Python began while in the aluminum industry as a means to deal with decades worth of data and automate report generation, but quickly branched as I learned all the things you could do with the langauge.

Current interests include machine learning, web development, and network security.