August 2018
Beginner
282 pages
5h 51m
English
Content preview from Learning Jupyter 5 - Second Edition
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R limitations in Jupyter
In this chapter, we used a variety of packages, both pre-installed and installed especially for the example. I have exercised a variety of materials that are available in R under Jupyter and have not found any limitations; you can perform most of the steps in Jupyter that you would have done under the standard R implementations. The only limitation appears to be when you are using Shiny or if you are attempting to use extensive markdown:
- For Shiny, I think you are mixing purposes—Jupyter is providing a web experience and so does Shiny—so I'm not sure how to even decide if this should work. This issue is being addressed by the Jupyter development group.
- Using extensive markdown does not appear to be a good idea, either. ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.