dallen

joined 1 year ago
[–] dallen@programming.dev 1 points 1 day ago

Pydantic offers awesome runtime validation (using Rust).

[–] dallen@programming.dev 6 points 5 days ago

GNOME. Love the simplicity!

[–] dallen@programming.dev 2 points 5 days ago (1 children)

Always ran xfce on my old used thinkpads!

[–] dallen@programming.dev 7 points 1 month ago (5 children)

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.

[–] dallen@programming.dev 2 points 1 month ago

In VS code these should work through the Remote-Containers flow, just like they do through Remote-SSH.

[–] dallen@programming.dev 1 points 1 month ago

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!

[–] dallen@programming.dev 8 points 1 month ago (2 children)

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 🤷‍♂️

[–] dallen@programming.dev 2 points 2 months ago

Hmm, I just re-read the blog post and GitHub where I thought I read that and I think I was mistaken…

[–] dallen@programming.dev 2 points 2 months ago (2 children)

Poetry support is on their roadmap!

[–] dallen@programming.dev 4 points 2 months ago (1 children)

I was gonna say, I don’t like to victim blame but why would people be grubbing around these days to begin with?

[–] dallen@programming.dev 3 points 3 months ago (1 children)

Ansible is so simple yet so elegant.

[–] dallen@programming.dev 2 points 3 months ago

My company only requires that I run their AV agent (bit defender).

Microsoft Teams is even flakier than on Windows (yes, it’s possible…)

14
submitted 5 months ago* (last edited 5 months ago) by dallen@programming.dev to c/cool_github_projects@programming.dev
 

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 :)

41
submitted 5 months ago* (last edited 5 months ago) by dallen@programming.dev to c/programming@programming.dev
 

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 :)

96
submitted 5 months ago* (last edited 5 months ago) by dallen@programming.dev to c/climate@slrpnk.net
 

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!

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