https://github.com/4dsolutions/clarusway_data_analysis/blob/main/Kirby%20Notebooks/uber_magic_square.ipynb
Maybe I'm especially slow in finding out about a Magic Square, 128 by 128, that also works when its elements are 2nd powered, and works again when they're 3rd powered. OMG! As a worker bee on along the data science track, showing noobs the ropes re Python's ecosystem in the pandas numpy matplotlib seaborn department, I see the potential for relevant skills building. Find the Square in question (Tarry's) on the internet, get it into a DataFrame, and do all the auditing it'd take to verify its Magic Squarehood. We know it's legit in advance, so the job is more one of learning the tool set. I'm not suggesting anyone has to use my Notebook as is, just that it shows off this idea. I also use AI to (a) provide a strict definition of Magic Square and (b) remind me how to get the bottom left to top right diagonal of a 2-d numpy array. Finally, the NB reminds us that embedded YouTubes are possible and in this case the Numberphile video gives all the history and context, situating this exhibit within a grand museum of magic square maths. The YouTube won't appear or play as a thumbnail when the NB is served up by Github, but will when the same NB is served through nbviewer, or gets served locally by your own Lab or Notebook server. Kirby
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