Alas I lost my osgarden.appspot.com to the new Google App Engine too. Just a simple I-Ching machine based on Unicode in the source... far less sophisticated than Pykata.
I'm one who thinks fierce concentration on projects feeds the Zeitgeist in ways we cannot measure accurately. Pygeo made a big difference too, in opening a sense of what's possible. Arthur's projective geometry package. A limited attention span means many projects go unsung, but not necessarily because they lack merit. Projects like Struck and Packinon shaped a lot of my thinking in their day, in the small pond I was a big fish in. Some projects I saw get off the ground are still key: vZome by Scott Vorthmann and Antiprism by Adrian Rossiter come to mind (neither a Python project). VPython remains on my radar as one of those most critical to get working in the cloud as part of the student experience. I want spatial geometry not just the flat stuff. In a virtual desktop, as on a local laptop, one can use Vpython. But I'm not so sure there's an in-browser solution. Also when it comes to learning to code, I favor an IDE over Notebooks. The latter might be more for prettification and/or sharing with coworkers. It's not either / or. Use IDE to develop then frame it and summarize for public use in a Notebook. Another way to export an API. Anaconda comes with both Spyder (IDE) and Jupyter Notebooks for a reason. Kirby
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