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With its updated version of Autograd, JAX can automatically differentiate native Python and NumPy functions. It can differentiate through loops, branches, recursion, and closures, and it can take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation) via grad as well as forward-mode differentiation, and the two can be composed arbitrarily to any order. What’s new is that JAX uses XLA to compile and run your NumPy programs on GPUs and...

Use PDEGraphics2D to create Processing vector graphics script files and deploy them in HTML. To create a PDEGraphics2D instance, pass the constructor an instance of a standard Graphics2D object, together with the size of the canvas to paint: PDEGraphics2D g= new PDEGraphics2D(Graphics2D g, int w, int h) or PDEGraphics2D g= new PDEGraphics2D(Graphics2D g, Dimension d) Alternatively, pass the component to paint as the input to one of the static paint methods: PDEGraphics2D g=PDEGraphics2D.paint(Component c); PDEGraphics2D g=PDEGraphics2D.paint(JComponent c); PDEGraphics2D g=PDEGraphics2D.paint(Window c); PDEGraphics2D g=PDEGraphics2D.paint(JApplet c); The getCode(..) and write(....) methods can then be used to access the generated script and create HTML documents.