It's definitely a tool that has its uses. I think it is often misused though. I'm quite keen when I get a chance to play with the Jupyter Notebook <-> Visual Studio Code stuff. You know, in my infinite time!
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I think my logic from my Matlab post is exactly what the issue is here: "GUIs and IDEs are great — just like once we already know how to drive using a manual transmission we can easily switch to automatic — but they predominantly do not push us to develop our skills further."
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Replying to @o_guest @owainkenway and
I want to point out that not everyone wants to develop their (programming) skills further - writing code itself is a tool for doing something else. For example, the folks in a Rhetoric class at Berkeley were able to use this to do sentiment analysis on political speeches.
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Replying to @yuvipanda @owainkenway and
Absolutely. I was talking about my issue, which is that I do want to teach my students to code.
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Replying to @o_guest @yuvipanda and
I'm a computational modeler in a experimental psych department so I am coming at it from a very specific perspective.
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Replying to @o_guest @yuvipanda and
no firm conclusion to this tweet, but: there's something in here about several different communities of practice, including active coders, data scientist/scripters + learners, teachers, etc.
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Replying to @ctitusbrown @o_guest and
maybe Jupyter and RStudio are slightly different "good enough" solutions that is constrained by needing to serve all of these communities?
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Replying to @ctitusbrown @o_guest and
also (just thinking out loud) need to factor in the value of a single ecosystem/stack (or two:
#python +#rstats), the existence of robust tools and materials, when considering cost of switch to more tailored/well grounded/better solutions.1 reply 1 retweet 1 like -
Replying to @ctitusbrown @yuvipanda and
Personally, I love all these tools. What I object to often is the hype, misinformation, rhetoric around them that confuse students/people into misuse and malpractice.
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Replying to @o_guest @ctitusbrown and
A huge issue for me is the confusion when doing modelling between the different types of replication. Something
@ReScienceEds tries to address by existing.1 reply 1 retweet 0 likes
Just because your code can run on different machines and at different times, does not solve the scientific aspects of replication.
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Replying to @o_guest @ctitusbrown and
Olivia Guest | Ολίβια Γκεστ Retweeted Olivia Guest | Ολίβια Γκεστ
See this thread:https://twitter.com/o_guest/status/1068178741807988742 …
Olivia Guest | Ολίβια Γκεστ added,
Olivia Guest | Ολίβια Γκεστ @o_guestReplying to @santoroAICool thread. I talked about this at ICML a little. "In this talk I will discuss the different types of replicability/reproducibility, focussing heavily on the two that involve software/computational models." https://figshare.com/articles/Varieties_of_Reproducibility_in_Empirical_and_Computational_Domains/6818018 …0 replies 0 retweets 0 likesThanks. Twitter will use this to make your timeline better. UndoUndo
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