dallen

joined 1 year ago
[–] [email protected] 2 points 1 month ago

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

[–] [email protected] 2 points 1 month ago (2 children)

Poetry support is on their roadmap!

[–] [email protected] 4 points 1 month 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?

[–] [email protected] 3 points 1 month ago (1 children)

Ansible is so simple yet so elegant.

[–] [email protected] 2 points 1 month 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…)

[–] [email protected] 7 points 1 month ago

It’s not a dealbreaker for me but I feel your pain. Getting everything organized in Gitlab is a pleasure.

[–] [email protected] 4 points 1 month ago
[–] [email protected] 2 points 2 months ago (2 children)

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.

[–] [email protected] 21 points 2 months ago (4 children)

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

[–] [email protected] 2 points 2 months ago

I read it as sarcasm

[–] [email protected] 3 points 2 months ago

I personally also put Pydantic on the S tier.

Also, I use (geo)pandas on a regular basis and when it comes to geometric operations Shapely is an amazing library.

13
submitted 3 months ago* (last edited 3 months ago) by [email protected] to c/[email protected]
 

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 3 months ago* (last edited 3 months ago) by [email protected] to c/[email protected]
 

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 :)

94
submitted 3 months ago* (last edited 3 months ago) by [email protected] to c/[email protected]
 

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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