BUT I now have experience writing code to generate a #SVG containing a multi-segment donut #graph with different inner and outer radiuses, uniform gaps around segments, and minimum segment sizes.
Does anyone have an idea on how to get details about internal server errors in the #Microsoft#Graph API?
The problem: We make a PATCH request on a specific resource. The request is correct (following the documentation) and successful (all changes are applied), but nevertheless we receive an internal server error in response with no details.
We've had to deal with a lot of bugs in the API, but if you can't distinguish successful requests from incorrect ones, that's very unfortunate.
One of my favorite hard #scifi topics that I love to work within (even if I am terrifically starved for time to do much about this at the moment) are wormhole networks.
They have interesting geometry constraints once you add real star maps, #optimization challenges when it becomes time to figure out how many connections you need to connect what places while observing construction and shape constraints…
it is the kind of #graph computer science that tickles my brain extra being scifi nerdy
Soo been obsessing over #math matrix & #graph theory
Thinking options for most efficient #tech application using concept of a merkle tree for a matrix; still requiring efficient merkle #matrix verification (tree=type of graph)
Saw merkle field= #hash each layer, merging into node
Water is a molecule with two hydrogens and an oxygen. Sometimes, instead of hydrogen it has deuterium, which has an extra neutron. This is heavy water.
It’s a kind of water because, while rare, it naturally occurs and when it’s in the mix it all acts, looks, and reacts just like “normal” water. We didn’t know what we called water was mostly “light water.” We learned there’s more than one kind, and that’s neat.
Anyone using a #zettelkasten tool like #obsidian, #joplin, #roamresearch etc) - do you really use the graph view and what does it help? How do you integrate it into your workflow?
I first thought I'd try it because I love mindmapping a lot, but I couldn't really make use of the graph so far.
@suonoreale it can be useful to identify (unexpected) relations, but you have to put some effort in filtering and grouping, besides playing a little with the depth and toggling the neighbor links.
The thing is that it can be quite an effort. That’s why I hope next release supports saving your graph settings.
I worked with python to practice graph theory which can be very bland when only studied theoretically xD Does anyone have any ideas what else I could add? Maybe even some potential use cases so that those graphs become a meaning? I'm a bit lost now but it was so fun to do and I wanna continue to do more stuff with it c: https://github.com/Zitronenjoghurt/GraphTheory
So I typically use #python for scripting. Data processing, plotting, and even a few small ML models for work. I just got a new computer, and thought I would survey ways to manage my environment. Spent some time with direct venvs, then looked at Poetry, and ended up right back where I always do: conda/mamba (mamba is so fast now). Conda, though super powerful, was slow. But now with mamba it feels lightning fast. Venvs/Poetry worked well, but if I needed to revert, modify, and not just add more packages, it seemed like more work.
In a #nutshell, what you're #locking is your #dependency#graph. i.e. your project says you need the requests package v.1.2.3 or later, plus the pandas package version 2 (not 3, you haven't upgraded your code yet).
Those each drag in a bunch of other dependencies, each with their own #version#requirements. One of them might say "I need pandas > 2.3.4". Multiple ones might all need requests as well, but specify different version constraints.
So the Bluesky #Gephi plugin is released ! You can fetch it directly from the plugin manager inside the software. It allows you to explore the followers / followings relationships of the network. Here is a Fast Tutorial https://www.youtube.com/watch?v=EUq5w7-D_ps#graph#sna#atproto
Exploring a hierarchical #graph-based model for #mobilitydata representation and analysis
Today's post is a first quick dive into #Neo4J (really just getting my toes wet). It's based on a publicly available Neo4J dump containing #mobility data, ship trajectories to be specific.