+1, mine is great too
Finding them depends on where you live, I guess.I got to see a few models in local mediamarkt. Extrapolating from tgose few to choose among the ones available online was tough though.
+1, mine is great too
Finding them depends on where you live, I guess.I got to see a few models in local mediamarkt. Extrapolating from tgose few to choose among the ones available online was tough though.
For me it's lack of convenient hotkeys and keyboard-based navigation. Used Vimperator on FF until they killed it. Now using qutebrowser, which uses qtwebengine, wbich uses outdated chromium. Sad story.
Food grade stuff. Cookie cutters, spares for cat drinking fountain. I guess hardened could've worked too. Printed with ColorFabb HT, so it can just go to dishwasher.
Almost always 0.4 (sometimes 0.4 stainless). It is the biggest one that still gives me acceptable tolerances, and printing time is easier to deal with than imprecise parts.
Changing the nozzle and recalibrating feels like too much of a hassle for me, so I didn't experiment much though.
This might be actually it (or at least one of the "competitor" projects they mention in the docs), thanks! Just need to figure out how to do a nice grid layout of the graphs.
I know R a liiiitle bit, so that may help too =)
Did you ever notice that grafanalib
is noticeable behind grafana itself?
That's something that turned me off it, but I wonder if it was a one-time situation because of some major change in grafana...
create graph on the UI
that's something I want to avoid
hard for me to imagine a situation where graphs need to be edited so often
the whole system is under development (trying new views, changing how the data is represented, etc), so I don't need to imagine it, I have it right in front of me ;)
Something like that, where I just write a function that spits out a numpy array or something like that and it gets plotted, would be great, but there is one thing Grafana can do and vega-altair
, plotly
and even matplotlib
(*): a UI that allows to select a time interval to view.
So I can freely pan/zoom in/out in time, and only the required part of the data will be loaded (with something like select ... where time between X and Y
under the hood). So if I look at a single day, it will only load that day, and only if I dare to zoom out too much it will spend some time loading everything from the last year.
(*) yes, you can do interactive things with matplotlib, but you don't really want to, unless you must...
To be precise, the page explains how to configure some things and how to upload the config. I also tried that.
The problem is in the dashboard jsons. They are not well documented (docs on specific plots are missing), and are a pain to edit (as any json).
The grafanalib
tool I mentioned tries to help with that by implementing a sort of DSL for dashboards, but it is not ideal.
(edit: lost a word)
Use std::string_view
to sort of get the safety of std::string
without copying the contents (just in general make sure the original c string won't get free
d or overwritten, which won't happen to argv
in your case).
Or just std::string
and yolo, the overhead of copying the contents is negligible in your use case.
edit: removed accidental markup
Depends on your local waste service. I'd go for the "everything else" dumpster. Here in NL it is incinerated, which is a decent option for such a mix.