These are chat archives for spyder-ide/public
dmg, but it was difficult to maintain and would still need an external Qt library/binding, and since users need a distribution like Anaconda or WinPython, or at least a virtualenv with all their required data science Python packages anyway, offering it standalone doens't really pose as much of an advantage as it would otherwise.
brew cask install spyderthough
anywhere in the instalation page mentioned Spyder (on Windows at least) should be ran by spyder3
@fsfarimani_twitter Just to note, this is only true for "expert" installs using
pip. The vast majority of our Windows users install it via
Miniconda, where it can be launched from the shortcut, Anaconda Navigator, or via the
spyder command, while
spyder3 will not work.
remain curious if the IDE is ran via a web-browser such as iNotebook / Panadas, or has a GUI interface on the computer which to use.
@fsfarimani_twitter Spyder has a full native GUI like other proper IDEs, as you've probably already figured out.
there is a brew cask install spyder though
I'll remove our DMGs so this stops working. And I'll do that because we haven't been releasing DMGs for a long time
I hope you don't mind me saying this but Spyder's issue template is a little bit scary. I wanted to open a new issue the long issue template scared me away :)
@fsfarimani_twitter Thanks for the feedback. The Spyder issue template currently is designed for reporting bugs, which tend to comprise 95% of the reports we get and almost always are either duplicates, lack key details that would allow us to diagnose them, are user error, and/or could be fixed by the basic troubleshooting steps in our guide. However, Github recently introduced a way to make a separate template for issue reports and feature requests, which would be a far simpler proposition.
Also, you don't actually need to report a Spyder issue, but rather one with the docs, so go to the repo I linked rather than the one linked previously if you want to report that and the template should make much more sense :)
P.S. and a side question, when there is pip why promoting Conda?
@fsfarimani_twitter We offer both methods (as well as many other downstream ones) but a
pip install is for experts only since there are many things that can go wrong locally specific to the users machines that we aren't really able to help us.
conda makes all of that much easier. They don't fund us or anything, it just saves us a lot of time helping people over an over.