
Learn to create generative art using Python and Samila library in a Streamlit web app. Explore mathematical functions for unique digital artwork generation.

Neuroscience PhD student shares creative process, software tools, and techniques for making science animations, including mathematical visualizations, 3D neuron activity, and brain models.

Enhance 3D animation workflow using ActorCore 2.0's motion library, 3D scanned characters, and iClone's Python API plugins for efficient scene creation and camera movement.

Enhance 3D animation workflow using ActorCore's motion library and iClone's Python API plugins. Learn to combine pre-made assets with custom scripts for efficient, high-quality scene creation.

Learn to enhance iClone 7 camera operations using Python plug-ins. Explore hand gesture puppeteering, smooth camera follow, auto-focus, and dolly zoom techniques for improved 3D animation workflows.

Discover camera techniques and editing solutions for creating dreamy bokeh backgrounds in flower photography, using Photoshop and Topaz Mask AI to enhance your images.

Learn to create natural out-of-focus backgrounds using the Focal Blur Filter in Topaz Studio 2, enhancing your photo editing skills and achieving professional-looking results.

Learn to create, debug, and share Blender add-ons with a live demo covering registration, operators, UI implementation, and testing. Gain practical insights into the entire add-on development process.

Explore how programming enhances artistic creativity and productivity, with insights on integrating code into artwork for more effective storytelling and efficient creation.

Explore animation creation from scratch, learning to draw shapes, animate processes, and morph figures using simple functions and loops. Gain skills to build your own visually appealing animations.

Delve into accelerating reference frames, exploring centrifugal and Coriolis forces through mathematical derivations and Python implementations in classical mechanics.

Learn Python-based machine learning techniques for neural decoding, focusing on preprocessing, model selection, and optimization for spike trains and local field potentials from macaque cortical areas.

Hands-on tutorial exploring RNNs in cognitive neuroscience through coding exercises. Learn to train and analyze RNNs for various tasks, with lecture and workshop components using Google Colab Notebooks.

Enhance projectile motion visualization with rulers, colors, and loops in VPython. Learn to create dynamic physics simulations for better understanding and analysis.

Explore wave function calculations, expectation values, and quantum mechanics concepts through interactive coding and visualization techniques.

Explore double pendulum physics through coding, focusing on energy conservation and chaotic motion. Skip algebra for practical implementation in VPython.

Explore pendulum behavior with different driving functions. Visualize and analyze changes in motion using Python simulations, including kick, sawtooth, and step functions.

Explore damped driven pendulum behavior through phase space plots, with coding examples in VPython to visualize complex motion and periodic forces.

Explore pendulum motion beyond simple harmonic approximations through coding, visualizing how small angle assumptions break down as amplitude increases.

Explore Lennard-Jones simulation behavior by modifying potential energy minimum locations. Augment code to analyze changes and generate insights for physics enthusiasts and programmers.

Explore double-planet and trinary star systems using a gravity simulator. Learn to code physics simulations and visualize complex celestial interactions in VPython.