if 'google.colab' in sys.modules: from google.colab import auth auth.authenticate_user 我们还存储了一些变量以备将来使用,例如。 # set some variables for creating the dataset AUTO = tf.data.experimental.AUTOTUNE # used in tf.data.Dataset API GCS_PA...
if 'google.colab' in sys.modules: from google.colab import auth auth.authenticate_user 我们还存储了一些变量以备将来使用,例如。 # set some variables for creating the dataset AUTO = tf.data.experimental.AUTOTUNE # used in tf.data.Dataset API GCS_PA...
import csv from importlib import resources def read_population_file(year, variant="Medium"): population = {} print(f"Reading population data for {year}, {variant} scenario") with resources.open_text( "data", "WPP2019_TotalPopulationBySex.csv" ) as fid: rows = csv.DictReader(fid) # Rea...
neo4j_admin database import full <NEO4J_DATABASE> --overwrite-destination --skip-bad-relationships --skip-duplicate-nodes --multiline-fields --array-delimiter='|' @args.txt" Please have a look at this Google Colab Notebook that creates a Neo4j Community edition instance and then loads data...
The first file type that we will learn how to pull in is a CSV file, which is essentially a comma separated list that you can open up in any spreadsheet software and see it separated by columns and rows. I use Google’s Colaboratory to run Python in the cloud via Notebooks. ...