With the help of ChatGPT, I have put together the following structured explanation showing why OpenSeesPy is genuinely essential in modern structural-engineering workflows. Why and When to Choose OpenSeesPy After finishing the last blog, I found myself reflecting on how the narrative leaned heavily toward Tcl-based OpenSees  as the “serious,” high-performance, memory-efficient choice. And in a sense, that’s true: when it comes to raw computational efficiency and handling very

How Tcl, Python, and parallel patterns chnage what "using more memory" actually means This post is another postcard from one of my travels through the looking glass with ChatGPT — which means it’s not always obvious what’s solid ground and what might be a GPT hallucination. My goal here is not to hand you a final answer, but to give you enough structure that you start questioning what you think you know about memory in OpenSees. In this second memory post, I’m zooming out fro

I asked ChatGPT.... I guess I did fry my computer!!! As usual, my objective is to leave you with more questions than when you arrived, so take this content with a grain of salt, it was ALL GENERATED BY CHATGPT, WITH MY PROMPTING AND CONTRIBUTION. SO IT MAY BE WRONG!!!! How Jupyter Notebooks Manage Memory Short answer: ✔ Memory is managed on the server side  — by the machine where the kernel is running.❌ It is not tied to the client/browser . Your browser is only a “window” in

There’s been growing interest in developing GPU-based approaches for OpenSees. That’s exciting work, and it’s important to encourage...