copernicus | windows tray application for the Pi-Hole advertising | DNS library

I'm trying to create a websraper that will return restaurant names and addresses from the website. In the current version, it returns only names (as a test), but they are saved in the form of a string ([{'name': 'Copernicus Restaurant | Copernicus Hotel'}] [{'name': 'Copernicus Restaurant | Copernicus Hotel'}, {'name': 'Farina Restaurant'}] [{'name': 'Copernicus Restaurant | Copernicus Hotel'}, {'name': 'Farina Restaurant'}, {'name': 'Cyrano de Bergerac'}]).

Could someone help me to correct this code so that it would take links to each restaurant and then extract data about the name of the restaurant, address from those links?

I will be grateful for any help.

My code:

I used the .combine command to convert two image collections into a two-band image collection (in the last line) to use in a function in the next step. This command is executed but writes 0 elements in the console. Where does this problem come from?

code link: https://code.earthengine.google.com/ed0992093ff830d926c7dd14403477c6

Code:

In Google Earth Engine, I want to get the NDVI index from several images of the Sentinel 2 satellite with different dates, then I will estimate other parameters from this index. To do this, I need to convert the resulting NDVI images to an image collection. But to chart it, it gives the following error:

Error generating chart: No features contain non-null values of "system:time_start".

It seems that when converting to a collection image, the temporal information of the images is lost. with this condition, how can I fix it?

Link to the code: https://code.earthengine.google.com/47cd9e7f65b143242ebb238d136bf760

Code:

I have a 17GB GRIB file containing temperature (t2m) data for every hour of year 2020. The dimensions of Dataset are longitude, latitude, and time.

My goal is to compute the highest temperature for every coordinate (lon,lat) in data for the whole year. I can load the file fine using Xarray, though it takes 4-5 minutes:

This question is related, but somehow I still need some help to get this to work. xarray select nearest lat/lon with multi-dimension coordinates

I would like to obtain URLs pointing to cloud-optimized geoTIFFs from Amazon's Copernicus Digital Elevation Model bucket.

After installing boto3 (with pip3 install boto3), I do, relying on this answer to the question Can I use boto3 anonymously? to download a single file:

Dears, I need to create a xarray.datarray with the names of the dimensions equal to the names of the coordinates, however, I am not succeeding. Here is the code for reproduction:

I want to calculate the yearly sum of daily mean temperatures which are above 7 and below 33 degrees celsius. This is a customized calculation for biologically relevant degree days index. I want to do this calculation in python and I want to do it in a pythonic way, meaning, using already made functions from well known packages such xarray and numpy.

I am using the TG dataset from CDS. It is in netCDF format and it spans from 1981 to 2010. I am stuck doing this calculation. I was able to resample the dataset into monthly mean using the following command:

I have the following XML-Snippet …