CadQuery 2.7.0 Boosts Parametric 3D Modeling with Python

🚀 Breaking CAD limits with Python! Procedurally generated a Helical Ring Geometry with twist synced inside & out using PyVista & NumPy. 🔹 Parametric Design: Instantly tweak twist angles, thickness, and teeth density—all from a single script. 🔹 Dual-Surface Symmetry: Created a complex thin-walled structure where the helical pattern is perfectly synced on both surfaces—a task that’s incredibly tedious in traditional CAD. 🔹 Simulation Ready: Optimized mesh for CFD analysis in Ansys to analyze fluid swirl and heat transfer efficiency. 💡 Imagine iterating complex mechanical designs in seconds, not hours! ⚙️✨ #Python #MechanicalEngineering #GenerativeDesign #Simulation #Ansys #ComputationalDesign #PyVista #Automation #DigitalTwin #Engineering

Built a small automation in Civil 3D using Dynamo + Python to calculate station and offset for COGO points and apply label styles automatically. What used to be repetitive manual work is now: • Standardized • Repeatable • Less error-prone Added a simple UI (Data-Shapes) so it can actually be used by others, not just sit as a script. Still early, but I’m starting to see how these kinds of tools can turn everyday engineering tasks into more structured systems. Next step is tying this into project-level data and reporting. Thanks to Alex Severson for all the help as well as Eddie Cruz #dynamo #python #automation

Industry leaders are shifting toward interactive 3D narratives. Static brand presentations no longer deliver high engagement. We leverage Blender Python automation for scalable workflows. This technical approach ensures massive assets stay performant. Our architecture utilizes GPU acceleration for web delivery. This deep dive reveals the future of scrollytelling. Blog: https://lnkd.in/eJ-HNCkM Video: https://lnkd.in/efZDPvYs Books: https://lnkd.in/gqejw-pc Wookworking Blueprints: https://ojamboshop.com Tutorials: https://ojambo.com/contact Consultations: https://lnkd.in/eWRXWP6E #SystemsArchitecture #DigitalTransformation #WebGPU

PDM Integrates uv Support to Boost Dependency Management Efficiency 📌 PDM just added uv support in version 2.19.0 - merging uv’s lightning-fast installs with PDM’s powerful project orchestration. Developers can now enjoy blazing speeds while still getting full PEP-standardized dependency control and smart locking. This hybrid setup is reshaping how teams manage Python projects - fast, precise, and future-ready. 🔗 Read more: https://lnkd.in/dUMqRVSa #Pdm #Uv #Python #Dependencymanagement #Buildtool

I recently built a custom Python plugin using the CSI API to completely automate combined footing generation in SAFE based on ETABS reactions. It was a bit of a learning curve, but the result is a tool that: ✅ Pulls reactions directly from the model. ✅ Calculates the Load Resultant Center instantly. ✅ Imports custom AutoCAD shapes exactly where they need to be. The best part? Seeing the difference between the Geometric Center and the Resultant Center on screen. It’s a great reminder of how much the load distribution actually changes our designs. I’m sharing the code and a quick guide I wrote to explain the logic. If you’re using SAFE for foundations, feel free to grab it and save yourself a few manual steps on your next project. Let me know if you run into any issues—I’m still tweaking it! #StructuralEngineering #Automation #EngineeringTools #SAFE2000 #Python #BIM #CSIAPI #Plugin

🚀 SM Script Library v8.0.0 – Out Now! A powerful script manager for Autodesk Maya designed to speed up and simplify your workflow. ✨ Key Features: Modern UI with Dark/Light mode Python & MEL script library One-click script execution Search & smart organization Version history + auto backup Shelf integration Built for efficiency and production use. 🎬 Check out the demo video! #Maya #AutodeskMaya #Rigging #PipelineTools #Scripting https://lnkd.in/gwbHH39R

I burned through my entire token budget in 1 hour. On a CAD model. This morning I tested a new generative CAD setup. Claude with a custom skill from this open source project: earthtojake/text-to-cad (check out on github): ++ Uses occ + python + build123d, has a built-in web frontend for instant review ++ Generates real STEP geometry, not meshes ++ Takes screenshots of each step to validate and iterate That last part is the interesting bit: Many other one-shot approaches just generate the python code and the result is often off. This skill reiterates, it looks at its own output, checks it, and tries again. Basically: a feedback loop for CAD. The result so far is… unfinished. For simple prompts, I got 100% correct models. More complex models: not production ready, but you can see where this is going. I had to stop mid-iteration because my tokens were gone. Let’s get a coffee. I’ll continue once my budget recovers. See the intermediate result below.

We have courses dedicated to Python programming, in the context of CAD-CAE. Content: - Python language basics - How to automate CAD work (drafting, part design, shape design, assembly) - OCCT, CATIA V5 - How to automate CAE work (meshing, running solver, post-processing) - How to build GUI for custom applications (Qt, pyVista) - Machine Learning for CAD/CAE

🚀 Extron Global Configurator: Bridge or Brain. A lot of AV systems get built where Global Configurator Pro is doing all the heavy lifting and that’s where scalability breaks. Instead of relying on GC Pro for device intelligence, build a reusable Python driver module that handles: ✅ command queueing (no flooding devices) ✅ auto reconnect logic ✅ polling + keepalive ✅ feedback parsing + state tracking ✅ consistent API functions like PowerOn(), SetInput(), MuteOn() Then connect it to Global Configurator Pro like a bridge GC Pro button press ➝ sends string like: DISPLAY:PWR_ON Python module receives it ➝ calls the real driver: display.PowerOn() This architecture turns Global Configurator into a front-end UI mapping tool, while Python becomes the reusable driver engine. #Extron #AVProgramming #ControlSystems #Python #GlobalConfigurator #AVIntegration #Automation #ProAV

🚀 Extron Global Configurator: Bridge or Brain. A lot of AV systems get built where Global Configurator Pro is doing all the heavy lifting and that’s where scalability breaks. Instead of relying on GC Pro for device intelligence, build a reusable Python driver module that handles: ✅ command queueing (no flooding devices) ✅ auto reconnect logic ✅ polling + keepalive ✅ feedback parsing + state tracking ✅ consistent API functions like PowerOn(), SetInput(), MuteOn() Then connect it to Global Configurator Pro like a bridge GC Pro button press ➝ sends string like: DISPLAY:PWR_ON Python module receives it ➝ calls the real driver: display.PowerOn() This architecture turns Global Configurator into a front-end UI mapping tool, while Python becomes the reusable driver engine. #Extron #AVProgramming #ControlSystems #Python #GlobalConfigurator #AVIntegration #Automation #ProAV