pixelpop3

A few podcasts I listen to have switched to calling their bluesky handles out instead of their twitter handles in their outros. I'll probably install it and delete ex/twitter when I get an invite.

He also shrieked about bots, and now he parades his own around.

I'm not familiar with code.golf but I wonder how whitespace is handled? I find python is very concise anyway, but I wonder how the white space is counted (single tab, four spaces for black, etc).

You just need to be a moderator of any subreddit. The subreddit itself doesn't need to be NSFW. The idea is that moderators could have a need to evaluate NSFW content on user profiles to make moderation decisions.

Just be aware that in the fediverse everyone sees what you up and down vote.

There's an update that makes you login again. It installed for me yesterday. After the update get an annoying locked post from u/redditmaturecontent telling you to go to Reddit access NSFW content now.

Oh, that's interesting. I was hoping a scraper would emerge. Stealth's scraper (currently) doesn't seem to actually display content that is marked nsfw. Maybe they haven't yet figured out how to detect/accept the confirm 18+ barrier on old.reddit.com.

Well, he is going to try to make a subscription Infinity.

But I've already moved on to RedReader because the dev is fully on my wavelength. He got the accessibility exception and continues to openly trash Reddit in a very gentlemanly, polite way. His goal now is to diversify the app to non-Reddit sites before Reddit doesn't need him as a PR shield. Hopefully he's able to add Lemmy and kbin support soon.

The RedReader app's use of menus is... slightly different than apps I have used in the past but it has sort of grown on me. It has a, "yeah I can see why Stephan Hawking would have used this sort of thing" vibe, but at the same time it's actually not tedious or difficult to use once you get the hang of it.

Are there? Must be a bigsub/shill thing.

Just about everything is modifiable in matplotlib... It may not be easy, but all plotting libraries are designed to make some things easy at the expense of making other tasks more difficult. For matplotlib you just have to think about things the way matlab thinks about things... which is more computer graphics based. It can get ugly until you understand it. But if you understand how any plotting library actually works it's not that bad. All plotting libraries ultimately are built on graphical primitives like lines and fonts and triangles and patches computing where things belong by transforming coordinates and feeding them to a layout engine. It's not as magical as the APIs make them seem. So if you're willing to dig into their bowels (as OP mentions) there really aren't any many limits. Sometimes it's actually easiest to just declare a canvas in memory and draw it all by hand. Ultimately, things are either vector or raster formats (or some abstraction that supports both) and fed into some computer graphics engine (like postscript or some OS's or GPU canvas).

Anyway, sometimes the easiest answer is you export and edit the labels in the final figure. One really nasty way if you don't have PS or PDF tools is to sidetrack through Windows EMF and mess with fonts and positioning of text in PowerPoint.

For the types of visualizations you're describing, the choice probably won't matter. I view matplotlib as "matlab flavor" and ggplot2 as "R flavor". For R-type work (a certain type of table-based stats) I just use R.

For matlab type work (image processing, simulations, etc) I now use matplotlib. This is mostly numpy/scipy things rather than... pandas things. Python is interesting because it has things that are beyond matplotlib (VTK, etc) and beyond matlab. Typically when you're prototyping in matlab you're assuming you will have to rewrite in a different system eventually, but with python you can move the prototype further down to more polished prototype easily.

I do a lot of image processing and am too familiar with matlab, so matplotlib generally came naturally for translating that prior knowledge. So really it depends on what sorts of things you are familiar with, languages you use, and would want to do in the future. I think with either choice you will eventually hit some wall of difficulty.

There are also more visualization and plot focused things (TeX family or PostScript and PDF) as well as the "processing" language.

I use R for... not-image-type analysis stats and generate plots in R using R's plotting. I mostly use python for matlab-type things and matplotlib seems more natural for that.

Julia is on my todo-list and I have heard good things about their plotting ecosystem but I have not looked into it.

Incidentally VTK is extremely well designed for the type of language it's based on and the problems its solving... but that's not really 2D plotting.

Infinity (Android) is making a go at a paid subscription.