@jud-sdev, here's some feedback related to the cheatsheet you created.
What AI tool did you use? What was your prompt? How did you create it? It would be great to have that documented. This would help others make improvements. Did AI create the whole thing? Did it just create parts of it and you compiled it together? More info would be great if/when you plan to share this with others.
Some of the commands do not run. Ideally, the sheet would run if someone hit "Run All". That does not happen right now.
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LinAlgError Traceback (most recent call last)
...
LinAlgError: 1-dimensional array given. Array must be at least two-dimensional
Have you made more than one sheet with AI, and compared several? There are way more functions in Numpy than what you have listed on this sheet? In particular, the LinAlg unit alone has more functions with options that you have listed here. The feedback on the original issue in NumPy as that maybe a cheatsheet per module would be nice. Having more than one to compare/contrast could be great.
The original idea behind the cheatsheet came up in a documentation meeting. Those happen now on Monday at a time I think you could attend. Having multiple made and going to the documentation meeting to get feedback would probably be the best way to move forward on using AI to create a cheatsheet.
@jud-sdev, here's some feedback related to the cheatsheet you created.
What AI tool did you use? What was your prompt? How did you create it? It would be great to have that documented. This would help others make improvements. Did AI create the whole thing? Did it just create parts of it and you compiled it together? More info would be great if/when you plan to share this with others.
Some of the commands do not run. Ideally, the sheet would run if someone hit "Run All". That does not happen right now.
Have you made more than one sheet with AI, and compared several? There are way more functions in Numpy than what you have listed on this sheet? In particular, the LinAlg unit alone has more functions with options that you have listed here. The feedback on the original issue in NumPy as that maybe a cheatsheet per module would be nice. Having more than one to compare/contrast could be great.
The original idea behind the cheatsheet came up in a documentation meeting. Those happen now on Monday at a time I think you could attend. Having multiple made and going to the documentation meeting to get feedback would probably be the best way to move forward on using AI to create a cheatsheet.