Elevate Your Career by Becoming the Go-To Expert in Simulation
Grab a copy of my guide and discover how to make practical simulations in Python with SimPy.
Includes downloadable code examples!
"I have worked extensively with simulation tools throughout my career. Harry's guide to SimPy provided clarity and practical insights beyond what I've encountered in official documentation. I believe this guide will be highly valuable to professionals and researchers alike."
What Others Are Saying:
"Harry consistently impressed me with his mastery of both the technical side of simulation modeling and coding as well as the nuanced aspects of simulation project management."
"If you're considering learning simulation from Harry, you couldn't be in better hands."
"If you wish to master every aspect of applying simulation to improve business decisions, then Harry is an expert guide."
"You can trust that Harry's practical insights and dedication will set you on a path to mastering simulation and applying it with confidence."
What is Discrete-Event Simulation?
Discrete-event simulation (DES) is a way of modelling complex systems by focusing on specific events that happen at particular points in time. Rather than tracking everything continuously, it jumps from one event to the next - like a customer joining a queue, a machine breaking down, or a shipment being dispatched. Each event changes the system in some way, and the simulation moves forward accordingly. This makes DES perfect for systems where things happen in bursts rather than steadily, such as production lines, transport networks, or service operations.
What's great about DES is that it lets you safely experiment with "what if" scenarios. Want to see how adding another checkout lane affects waiting times or how tweaking factory layouts might speed things up? DES gives you a virtual testbed for those ideas, without the cost or risk of trying them in real life. It's a brilliant tool for uncovering bottlenecks, optimising systems, testing scenarios and ultimately making better decisions. It is an essential tool in industries ranging from manufacturing, to healthcare, to transportation and beyond. See below for a list of example use cases for different industries.
Key Benefits of this Guide:
📱 Read On Any Device
You will get .pdf and .epub versions of the book. The latter makes for seamless e-reader compatability. Amazon make it easy to transfer this to your Kindle (if you have one) through their send-to-kindle feature.
🔄 Lifetime Access to Future Updates
Your link to the guide will be evergreen, as I update it you will get access to the latest version. I will email you when a major update is made.
💻 Downloadable Code
You will get code examples with the guide and perpetual access to these. You can use these to kickstart simulation projects or to help with your learning experience.
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"I have worked extensively with simulation tools throughout my career. Harry's guide to SimPy provided clarity and practical insights beyond what I've encountered in official documentation. I believe this guide will be highly valuable to professionals and researchers alike."
"I really enjoyed reading your guide as it provides really structured overview especially compared to SimPy's own documentation. Cannot wait to see more of your guides."
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