@ Mansour Moufid
> Very cool!
> But the Mac disk image (mathinspector_0.9.1.dmg) isn't opening ("corrupt
image").
> It's 145279488 bytes and the shasum ends with f1ed9231.
Oh no, whoops! The .dmg file has been code signed with my apple developer id, notarized with apple, and passes all verification checks on my machine when I download it from the website. Ever since sunday I have been scrambling to support every platform and os version out there basically, and this is the first time I saw this one. For the sake of avoiding using the mailing list to debug, would be willing to open an issue on the Math Inspector github page? Thanks! (btw I checked the file on my machine and its the same filesize with the same shasum, so my guess is there is a pyinstaller issue related to an os version conflict, or a code signing issue, not sure though, I built it on BigSur 11.1)
@ Ralf Gommers
> Very cool, thanks for sharing!Thank you!!!
> We have an Ecosystem section on
numpy.org, we can add it there
It's really important to me to make math inspector a part of the numpy ecosystem, and since this is the first time I am reaching out to the mailing list, I'd like emphasize that I am more than willing to work with the community to improve the product, respond to bug reports & feature requests, and in general I strongly value constructive criticism.
> One thing I realized when browsing through the video on your front page is
> that the public module layout we have is very unhelpful for this kind of
> education...If you have other thoughts on what would help you to make NumPy more
> approachable, in Math Inspector or in general, those would be great to hear.
I completely agree with your observation here. It hadn't occurred to me to change numpy to make it better for math inspector, but I think you are hitting the nail on the head when you suggest re-organizing the file structure of the core package.
The main suggestion I have is to update the documentation in a way that leverages the power of math inspector. The math inspector doc browser is a powerful tool with lots of extra functionality that is not available from the website or in the normal python help() function. This extra functionality could be used to make numpy more approachable. For example, replace references to matplotlib in the doc's with mathinspector.plot(), and substitute mathinspector for iPython as the recommended tool.
Thanks for this fantastic feedback!