This animated GIF shows the new debugger in action, allowing point-and-click step-by-step execution at breakpoints and easy inspection of variables, call stack,

This animated GIF shows the new debugger in action, allowing point-and-click step-by-step execution at breakpoints and easy inspection of variables, call stack, and source code: https://miro.medium.com/max/1400/1*NP0bYBdrhwgpJpKDhPLWrQ.gif https://miro.medium.com/max/1400/1*NP0bYBdrhwgpJpKDhPLWrQ.gi... It looks to be a very welcome improvement for those of us who routinely use Jupyter notebooks for "REVL" (read-eval-visualize-loop) experimentation. Has anyone here had a chance to test how well this works with objects from Python's scientific stack such as numpy arrays, pandas dataframes, matplotlib objects, PyTorch and TensorFlow CPU/GPU tensors, and so on?