dallen

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

This level of precision doesn’t make sense. I wouldn’t go any higher than 5 digits which is already meter accuracy.

Especially in the context of a portfolio, this would count against you for geospatial software roles.

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

I use Immich for sharing. Get some accounts set up for closest family so you can easily add them to albums. For others you can just share a link to each album, password protected or simply unlisted.

Personally, I run my internet accessible apps on my Hetzner VM behind a reverse proxy, whereas things like home automation, DNS and Octoprint I prefer to serve on my local network.

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

Same as any piece of software you’re hosting, it’s up to you to decide. I run my instance on my Hetzner vm.

[–] dallen@programming.dev 4 points 4 months ago

Also my go-to, I prefer everything in version control instead of someone else’s cloud.

IIRC, Pycharm can also inject the same .rest files.

[–] dallen@programming.dev 4 points 5 months ago

I subconsciously replace os.path with pathlib whenever touching any module for a refactor.

[–] dallen@programming.dev 7 points 7 months 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 7 months ago

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

[–] dallen@programming.dev 1 points 7 months 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!

14
submitted 11 months ago* (last edited 11 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 11 months ago* (last edited 11 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 11 months ago* (last edited 11 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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