Pydantic offers awesome runtime validation (using Rust).
I’ve been mostly a poetry guy but have tested out uv a bit lately. Two main advantages I see are being able to install Python (I relied on pyenv before) and it’s waaay faster at solving/installing dependencies.
In VS code these should work through the Remote-Containers flow, just like they do through Remote-SSH.
I have to use macOS at work and I sorely miss the efficiency and simplicity of gnome.
I’ve spent a lot of time configuring and tweaking various DEs in the last 20 years, but somehow gnome shell nailed it for me.
Happy to have many options as a Linux user!
It’s very minimalist and the project ditched the Windows-style approach some years ago. Personally, I’ve grown to love it and other DEs feel bloated now.
To each their own 🤷♂️
Hmm, I just re-read the blog post and GitHub where I thought I read that and I think I was mistaken…
I was gonna say, I don’t like to victim blame but why would people be grubbing around these days to begin with?
Ansible is so simple yet so elegant.
My company only requires that I run their AV agent (bit defender).
Microsoft Teams is even flakier than on Windows (yes, it’s possible…)
It’s not a dealbreaker for me but I feel your pain. Getting everything organized in Gitlab is a pleasure.
Any chance you could give an example of the kind of tooling you’re referring to?
This is not a subscription but a perpetual license and for my needs it’s already well worth the price they are asking. Using this actively with my wife but also sharing albums with about 8 other family members.
I find the no-subscription model very attractive and I’m open minded to companies trying out new software licensing approaches. I like the idea of the developers getting paid for their good work and being able to do it full time.
This just means that this project is still too early in development for you. The breaking changes happening in this phase are going to pay off in the long run and prevent the project from getting bogged down.
I would give it another shot when they release v2
I was in those masses. They sent me a free CD in the mail when I was a teenager!
Sometimes I use Drawing for adding some annotations but I mostly just paste directly from the screenshot tool.
In terms of editing, I work more with SVG where I use a very simple editor BoxySVG.
Interactive urban heat island effect visualizations for European cities.
Repo: https://github.com/damienallen/urban-heat
cross-posted from: https://programming.dev/post/14939898
> I wanted to share a small project I've been working on. The goal was to make the data from NASA's Landsat Thermal Infrared Sensor more accessible to the general public. > > I worked with the raw temperature band data to general annual maximum surface temperature raster images for large urban areas covered by the Eurostat GISCO Urban Audit. In the browser, these images are transformed into easier to interpret isotherm contours with some adjustable settings. > > I don't have a specific target audience in mind. The map could help identify areas of refuge for the warmer months, or overheated neighborhoods to avoid as we march towards a toasty future. > > Feedback is welcome :) > > > !
Interactive urban heat island effect visualizations for European cities.
repo: https://github.com/damienallen/urban-heat
cross-posted from: https://programming.dev/post/14939898
> I wanted to share a small project I've been working on. The goal was to make the data from NASA's Landsat Thermal Infrared Sensor more accessible to the general public. > > I worked with the raw temperature band data to general annual maximum surface temperature raster images for large urban areas covered by the Eurostat GISCO Urban Audit. In the browser, these images are transformed into easier to interpret isotherm contours with some adjustable settings. > > I don't have a specific target audience in mind. The map could help identify areas of refuge for the warmer months, or overheated neighborhoods to avoid as we march towards a toasty future. > > Feedback is welcome :) > > > !
Urban Heat Island Explorer
I wanted to share a small project I've been working on. The goal was to make the data from NASA's Landsat Thermal Infrared Sensor more accessible to the general public.
I worked with the raw temperature band data to general annual maximum surface temperature raster images for large urban areas covered by the Eurostat GISCO Urban Audit. In the browser, these images are transformed into easier to interpret isotherm contours with some adjustable settings.
I don't have a specific target audience in mind. The map could help identify areas of refuge for the warmer months, or overheated neighborhoods to avoid as we march towards a toasty future.
Feedback is welcome :)
---
EDIT: For UK visitors, sorry to leave you with an empty map...
I've taken a look at older urban extent data and found the geometry I need to process the UK (from before leaving Eurostat). However, there are still some UI limitations to overcome since it seems that cities are split into many boroughs that could only be viewed one at a time. The reason I went with the Eurostat dataset to begin with was a nice delineation of what a city was (for the purposes of this project).
Don't have a timeline, but I do want to add the UK and automatic loading of cities as you pan!