Interactive Visualizations and UIs in Julia

on YouTube ↗19m

" summary

Shows concrete tooling: Gadfly and PyPlot for plotting, IJulia to run notebooks, Interact to add interactive sliders and widgets, and Escher to generate Escher web apps (no custom JavaScript). Demonstrations include a live Jupyter notebook, animated plots updating at ~30 fps, a recursive MC Escher–style graphic built in Compose, and reactive behaviors wiring buttons to counters. Everything renders to SVG/HTML and the demos visibly work, proving end-to-end interactivity with Julia packages.

AI-written summary · about

" chapters (7)

1. 0:00Start
2. 9:03The Elem type
3. 10:39Custom Elements
4. 11:12Content: Textual
5. 12:57Functional Geometry
6. 13:58Layouts
7. 15:00Typography

" related talks

• 29mInteractive visualization for the curiousEdward Schofield · PyCon Australia 2015
• 24mPractical examples of interactive visualizations in JupyterLab...Jeremy Tuloup · PyData Berlin 2018
• 21mDemo: A functional EDSL for mathematics visualization that compiles to JavaScrip...Allister Beharry · FARM 2023
• 47mUsing Julia & D3 to analyse web performance dataPhilip Tellis · Open Source Bridge 2015
• 01h 08mThe quest for the graphical webVincent Hardy · Meta Refresh 2013
• 01h 16mMake your research interactive with Jupyter DashboardsPavlo Andriychenko · PyData London 2017
• 21mVisualizing data with JavaScript at TwitterNicolas Garcia Belmonte · JSConf.ar 2014
• 20mSupercharge Your Shiny (for Python) App: Unleashing Interactive Jupyter WidgetsCarson Sievert · posit::conf(2024)