suggestion: Python lets you break up large numbers, so you could do100_000 for readability (and consider this for other large numbers in this file)

Done here and throughout

We also have anasync version of everything.

Often, we re-write the samples for both sync and async, and show both options in the language selection pickers. I'm not sure how you want to handle that here.

Maybe a couple samples forpipeline_initialization_async andbasic_read_async is enough to show it exists, since the API is almost identical. Or maybe samples for async aren't needed for preview

I will try to get to the async versions after Java and if I don't get to it by launch day it'll just be a follow-on.

It would be great if we could have a test file that exercises these functions. Even just running them without verifying outputs would be helpful to make sure no exceptions are thrown, but reading back results would be ideal

It looks like the other samples in this repo aren't tested though, so maybe that would be too much to set up

Will defer to another PR

If you want to get rid of all the \, IIRC think you could do something like this:

results = (    client.pipeline()    .collection("books")    .aggregate(        Field.of("rating").average().as_("avg_rating"),        groups=[Field.of("genre")]    ).execute())

(But test it first)