Hi Matt! This is great timing - we actually talked about mathinspector in our Documentation Team meeting on monday (you can see the meeting notes here: https://hackmd.io/oB_boakvRqKR-_2jRV-Qjg
If you are interested, you are welcome to join our slack space and/or our docs meetings, we would love to chat in more detail. Cheers, Melissa On Thu, Feb 4, 2021 at 6:38 AM Ralf Gommers <ralf.gomm...@gmail.com> wrote: > Hi Matt, > > Very cool, thanks for sharing! > > > On Thu, Feb 4, 2021 at 12:19 AM Matt Calhoun <calhoun...@gmail.com> wrote: > >> Hi Everyone! I have been using numpy for an extremely long time, but >> this is the first time emailing the list. I recently released the beta >> version of my free open source math app called math inspector, and so far >> the response has been really amazing, it was on the front page of hacker >> news all day sunday and went from 15 stars to 348 on GitHub since then. I >> wanted to reach out to the community to find out if people like this >> project, have any feedback/suggestions/feature requests, or would possibly >> be interested in placing a link to the website (mathinspector.com) on >> the numpy homepage. >> > > We have an Ecosystem section on numpy.org, we can add it there. There's > an Interactive Computing section where it kind of fits (although a place > labeled education would be better). There's some discussion on the > numpy.org issue tracker ( > https://github.com/numpy/numpy.org/issues/313#issuecomment-751466980) > about moving that to its own tab instead of having it as an entry under > "Scientific computing", but for now we could add it there under > Jupyter/IPython/Binder. > > >> Math inspector is a python interpreter which contains a frozen version of >> python and numpy, this makes it very easy for non-technical people to get >> started, it also creates a block coding environment which represents the >> memory of the running program. This block coding environment is at such a >> high level of generality that it's capable of working for all of python. >> It also has an interactive graphing system made in pygame which updates and >> modernizes all of the functionality in matplotlib. This graphing system is >> it's own stand alone module by the way. Math inspector also has a >> documentation browser which creates a beautiful interactive experience for >> exploring the documentation. >> >> Everything in math inspector has been designed specifically for >> numpy, even though it works for all of python. I started it 2 years ago >> when I got really confused after searching through the numpy website, and I >> wanted to build a system where I could dig into the modules in a directory >> file type structure that was highly organized. From there everything just >> took off. >> > > 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 - it'd be good if we had a way to hide things like core, emath, > matrixlib, etc. that we don't want people to import and use directly. > Essentially we'd to teach people mostly about the main namespace, and fft, > linalg, and random. > > 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. > > Cheers, > Ralf > > > >> The main goal of this project is to support the mathematics education >> community on youtube, by providing a free tool that everyone can use to >> share code samples for their videos, but I believe it has a wide range of >> additional applications for scientific computing as well. >> >> I have been working really hard on this project, and I really hope >> everyone likes it! >> >> You can find the full source code on the GitHub page: >> https://github.com/MathInspector/MathInspector >> >> Cheers! >> - Matt >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@python.org >> https://mail.python.org/mailman/listinfo/numpy-discussion >> > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion >
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