I am Asim, from Skardu, a remote yet naturally beautiful region of Pakistan—the city that serves as the gateway to K2, the world's second-highest mountain, which you may have heard of. I’ve been learning Blender for about a month through another resource, but I recently discovered this platform and was excited to see that it combines both Python and Blender. I have a degree in Bioinformatics and a basic to intermediate understanding of programming. My goal is to become an expert programmer so I can build advanced and meaningful projects. Since childhood, I’ve been fascinated by 3D animation and computer graphics. Unfortunately, when I was younger, I had little to no access to the resources needed to learn these skills. Now, I finally have the opportunity to pursue that dream, and I’m determined to make the most of it. I’m looking forward to learning from this community and exploring everything this platform has to offer in Python and Blender. Newcomer, Asim. Wish me good luck ☺️.

Here’s my late December Mini-Challenge Project. Originally Charge field 'Tornado and Debris’, now a Blender python Charge field physics, Proton with Charge Recycling model that contains top and bottom charge and anti-charge intake vortices, that I developed with ChatGPT help, good enough to share. All matter constantly recycles charge and anti-charge. It may not look like it at the moment, the animation shows a red, right spinning proton in Earth’s northern hemisphere’s vertical emission field, with a downward spiraling vortex of blue, left spinning anti-charge cubes (CW toward -z) entering the proton’s top spin axis pole while a vortex of red, right spinning cubes (charge) spirals upward (CW toward +z) into the proton’s bottom pole. After some delay, both charge and anti-charge is re-emitted by the spinning proton back into space, radially outward from the proton’s opposite hemisphere’s 40deg latitude, closer to the proton’s higher angular momentum equator. At this scale, with respect to the proton, I believe most charge would be too small to see, although electrons are essentially overgrown charge. Take it from this old has been engineer, Miles Mathis' Charge field physics makes much more sense than Quantum Theory, The proton spins with a driver function, add_continuous_rotation(thank you Victor). There are four particle systems, two with handlers and two without. HDRI functions are included, again thank you Victor (not to mention a gif), you’d need to provide a properly located hdri image to use them. The ps’ settings could use some changes. Please enjoy.

Should I Learn Python before embarking on my journey here?

In my short film about fungi, I need lots of spores randomly floating around the scene. So I made one original spore with a Follow Path constraint targeting a Bezier curve. This would allow it to be animated using the Offset Factor in the constraint panel. I thought I’d then make copies by writing a script to duplicate the original spore. Not so easy! It took forever to get it right. One each try, the spore copy was displaced somewhere on the screen and not lined up at the start of the curve copy as it should be. This is what I had to do (also documented in the script file): Steps: 1. Select the spore and flight path for duplication 2. Duplicate the spore and flight path objects 3. Disable the Follow Path constraint 4. Centre copied spores at world origin (0, 0, 0) 5. Move the duplicates to a new location 6. Enable the Follow Path constraint on the copied spore I’ve attached the blend file and the python script. The spores are now ready for animation. Next step - maybe I’ll try to animate using a script. I’m using Blender 4.5.

I asked ChatGPT to provide a Charge field description of a Tornado.ChatGPT did so. After which ChatGPT wrote. If you’d like, I can also give you: * A **diagram-style explanation** * A **side-by-side comparison** of Mathis vs mainstream tornado formation * A **step-by-step animation logic** for Blender, if you want to model a tornado using his charge-field ideas Me, An excellent suggestion, I agreed to a Blender python tornado model, understood to be charge-field inspired motions and not true charge field physics. I've been working with it over the last week. The animation works, at least on my machine, but the particles are still moving too fast to track.