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EmacsConf 2021 – Live Now

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Re: EmacsConf 2021 – Live Now

#6
Was there not, at some point, a disagreement among the emacs developers about how this conference was being managed?

As an aside, emacs has so much potential, I'm so glad the community continues to thrive. I use emacs exclusively for science data analysis and consistently impress my colleagues with how quickly things can be accomplished. If rough edges were polished in some of the python corners there could easily be an emacs renaissance in academia, a la nicolas rougier et al.

For just how popular python is in science now, the workflows are abysmal at best. 2 out of 3 of my colleagues won't touch it because Anaconda makes no sense, a command line work flow is too obtuse, and Matlab for all its disgusting nature is at least "natural" to work with as an environment in some sense. Which makes me sad. I have dreams that emacs makes that more approachable.

Re: EmacsConf 2021 – Live Now

#7

Was there not, at some point, a disagreement among the emacs developers about how this conference was being managed? As an aside, emacs has so much potential, I'm so glad the community continues to thrive. I use emacs exclusively for science data analysis and consistently impress my colleagues with how quickly things can be accomplished. If rough edges were polished in some of the python corners there could easily be…

This is interesting, I had the impression that notebooks were crossing this gap, are there specific command line issues that are a big bottleneck? Is it just better dependency management that's the big command line problem for example?

Re: EmacsConf 2021 – Live Now

#8

Was there not, at some point, a disagreement among the emacs developers about how this conference was being managed? As an aside, emacs has so much potential, I'm so glad the community continues to thrive. I use emacs exclusively for science data analysis and consistently impress my colleagues with how quickly things can be accomplished. If rough edges were polished in some of the python corners there could easily be…

In any complex field, say data science or software development, any newcomer perceives the solutions to problems they still don't have as unnecessary complexity. So for example the whole idea of dependency management, environments or version control will get in their way. Because it's not yet their problem. They are solving simpler problems: how I run this simple script (or with Emacs, say, undo this change, etc...). In that regard Matlab excels at making it easy for newcomers and harder later.

We need gradual complexity, but I think it's very hard to design. It needs knowledge + didactic capability.

Re: EmacsConf 2021 – Live Now

#9

Was there not, at some point, a disagreement among the emacs developers about how this conference was being managed? As an aside, emacs has so much potential, I'm so glad the community continues to thrive. I use emacs exclusively for science data analysis and consistently impress my colleagues with how quickly things can be accomplished. If rough edges were polished in some of the python corners there could easily be…

Honestly I've never understood Python for data analysis. R and Matlab have way better environments. R Studio is quite possibly the best environment I've ever used, in any language. Even creating C++ modules with Rcpp is easy. Julia is also getting there with a lot of natural advantages over R, Matlab or Python. I just don't get why anyone uses Python in this domain.
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