Hands-on depth, without the setup headache
Skip the friction of installs and local tooling. Code it, simulate it, work through a concept step by step. You get immediate feedback and room to push things further.
Made for people who learn by doing. Those starting from zero, or anyone who has covered this ground before and would rather experiment immediately without spinning up an environment or rewatching anything.
Lessons are bite-sized and built to be touched, not just read. Start with a track that fits where you are; more are on the way across software, AI, and physical systems.
Available now
Pick a track. Each one is built for the browser: hands-on exercises, live feedback, and space to try things without breaking your machine.
OpenCV from first principles. Images as data, color spaces, contours, detection, geometry, and capstone projects. One library, end to end.
Pilot track: vectors, atmosphere models, rocket equation, orbits, and Hohmann transfers. Code the physics, plot the curves, read the numbers.
Flow patterns, conservation ideas, channel profiles, pressure and speed, then a first simulation-style step. Code and plots in the browser, nothing to install.
Case directories, blockMesh, patch BCs, icoFoam mindset, and log-style checks. Batch 1 in Python; optional Docker cavity on the server.
Coordinates, great-circle distance, projections, GeoJSON, and raster grids. Python in the browser paired with interactive Leaflet maps.
Mechanical engineering fundamentals: parametric sketching, extrude and revolve, engineering drawings, ISO tolerances, and factor of safety. Interactive tools and Python.
New tracks are in the works—software, AI, and physical systems. Check back as the catalog grows.
