earth | data models that represent various things

The sphere is clipped by the near and far plane of the viewing volume (Orthographic projection). Use glOrtho instead of gluOrtho2D and increase the distance to the near and far plane:

gluOrtho2D(-5.0, 5.0, -5.0, 5.0);

Looks like they key itself might not be correctly visible to the pod. I would start by getting into the pod with kubectl exec --stdin --tty -- /bin/bash and ensuring that the /var/key.json (per your config) is accessible and has the correct credentials.

The following would be a good way to mount the secret:

/(?=TITLE: )/g seems like a reasonable start. I'm not sure if the gutter of 2 characters whitespace is in your original text or not, but adding ^ or ^ to the front of the lookahead is nice to better avoid false-positives, i.e. /(?=^TITLE: )/mg, /(?=^ TITLE: )/mg or /(?=^ *TITLE: )/mg.

You are looking for CROSS JOIN:

It was me being stupid.

Martin Bean commented:

And who’s mandated this? Vue templates are not HTML. They’re, well, Vue templates. They’ll get compiled to HTML, so you’ll need to validate the resultant HTML; not the template that is parsed by Vue.

Which was the solution to the problem, or how you now may want to put it.

Because according to momentjs docs, 'SS' in CAPITAL S represents fractional seconds, not actual seconds. Try d.format('YYYY-MM-DD HH:MM:ss'). Or you could also avoid importing momentjs totally by simply using Javascript's Date method, toISOString:

I share many of the same frustrations! It's so hard to get Typescript working nicely with Javascript and the microsoft documentation is so obtuse!

In your case : the path to a library is always looked for in node_modules so in that case you don't need to add the full path.

You also never need to import a .d.ts file. You can just put the .d.ts file somewhere in your working folder and VS Code will detect it.

If you have the .d.ts file for moment.js, you will get type completion in VS Code. You don't need to import moment.js when you load it with a

here is how you can do it :

First, you can create a dataframe, containing information like city name, lat and lon. Then you can do something like: