Science Memes
Welcome to c/science_memes @ Mander.xyz!
A place for majestic STEMLORD peacocking, as well as memes about the realities of working in a lab.

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Rules
- Don't throw mud. Behave like an intellectual and remember the human.
- Keep it rooted (on topic).
- No spam.
- Infographics welcome, get schooled.
If you are here asking: "Is this a science meme?"
Probably, yes. We use the Dawkins definition of meme: a replicating idea, not just an image macro with a fact on it. A good post here doesn't need to teach you something. It needs to make you ask something: who, what, where, when, and especially why or how.
Science isn't a filing cabinet of facts, it's a conversation. For example, a photo of an eel or other localized wildlife counts because most people never see one, and wonder is the first step of inquiry. A car meme counts if it makes you curious about what's under the bonnet. If you want to talk about something you noticed in the world, chances are someone else wants to talk about it too.
We moderate for vibe, not category. Pruning is light, especially where a post creates interesting discussion. Experimenting is encouraged.
See the pinned paper on Shitposting as Public Pedagogy if you want the academic case for why this works.
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What's the advantage of either of them compared to a jupyter notebook?
Jupyter notebook isn't a language, it's a tool for running interactive sessions, typically with Python, but in principle with any language. I'm fairly certain people run Julia in Jupyter Notebooks.
As for the advantages of Julia versus Python, arrays are native types, so they interface better across the entire language. It's also shockingly fast in comparison, it compiles the code at runtime, so the longer the program runs, the faster it is.
If there is a use-case for R that Julia or Python can't do, I haven't seen it. I personally don't see the point of writing code in R when the Python and Julia are more broadly useful to learn.