Hello:

      What are the differences between Jupyter notebooks and RMarkdown vignettes?


      I'm trying to do real time monitoring of the broadcast quality of a radio station, and it seems to me that it may be easier to do that in Python than in R.[1]  This led me to a recent post to "python-l...@python.org" that mentioned "Jupyter, Mathematica, and the Future of the Research Paper"[2] by Paul Romer, who won the 2018 Nobel Memorial Prize in Economics only a few days ago.  In brief, this article suggests that Jupyter notebooks may replace publication in refereed scientific journals as the primary vehicle for sharing scientific research, because they make it so easy for readers to follow both the scientific and computational logic and test their own modifications.


      A "Jupyter Notebook Tutorial: The Definitive Guide"[3] suggested I first install Anaconda Navigator.  I got version 1.9.2 of that.  It opens with options for eight different "applications" including JupyterLab 0.34.9, Jupyter Notebook 5.6.0, Spyder 3.3.1 (an IDE for Python), and RStudio 1.1.456.


      This leads to several questions:


            1.  In general, what experiences have people had with Jupyter Notebooks, Anaconda Navigator, and RMarkdown vignettes in RStudio, and the similarities and differences?  Do you know any references that discuss this?


            2.  More specifically, does it make sense to try to use RStudio from within Anaconda Navigator, or is one better off using RStudio as a separate, stand alone application -- or should one even abandon RStudio and run R instead from within a Jupyter Notebook? [I'm new to this topic, so it's possible that this question doesn't even make sense.]


      Thanks,
      Spencer Graves


[1] If you have ideas for how best to do real time monitoring of broadcast quality of a radio station, I'd love to hear them.  I need software that will do that, preferably something that's free, open source.  The commercial software I've seen for this is not adequate for my purposes, so I'm trying to write my own.  I have a sample script in Python that will read a live stream from a radio tuner and output a *.wav of whatever length I want, and I wrote Python eight years ago for a similar real time application.  I'd prefer to use R, but I don't know how to get started.


[2] 2018-04-13: "https://paulromer.net/jupyter-mathematica-and-the-future-of-the-research-paper";. This further cites a similar article in The Atlantic from 2018-04-05: "www.theatlantic.com/science/archive/2018/04/the-scientific-paper-is-obsolete/556676".

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