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@ML-engineer
ML-engineer / duckdb_bq_storage_api.py
Created July 4, 2022 22:08
Read BQ table to DuckDB directly from storage read api
import duckdb
from google.cloud import bigquery
bqclient = bigquery.Client()
table = bigquery.TableReference.from_string(
"bigquery-public-data.utility_us.country_code_iso"
)
rows = bqclient.list_rows(table)
country_code_iso = rows.to_arrow(create_bqstorage_client=True)
cursor = duckdb.connect()
@willkurt
willkurt / prob_logic.ipynb
Last active September 16, 2021 17:25
Implementing probability as logic using Python's data model methods
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@chitchcock
chitchcock / 20111011_SteveYeggeGooglePlatformRant.md
Created October 12, 2011 15:53
Stevey's Google Platforms Rant

Stevey's Google Platforms Rant

I was at Amazon for about six and a half years, and now I've been at Google for that long. One thing that struck me immediately about the two companies -- an impression that has been reinforced almost daily -- is that Amazon does everything wrong, and Google does everything right. Sure, it's a sweeping generalization, but a surprisingly accurate one. It's pretty crazy. There are probably a hundred or even two hundred different ways you can compare the two companies, and Google is superior in all but three of them, if I recall correctly. I actually did a spreadsheet at one point but Legal wouldn't let me show it to anyone, even though recruiting loved it.

I mean, just to give you a very brief taste: Amazon's recruiting process is fundamentally flawed by having teams hire for themselves, so their hiring bar is incredibly inconsistent across teams, despite various efforts they've made to level it out. And their operations are a mess; they don't real