Skip to main content

Helper library for BigQuery

Project description

am4894bq

A helper library for some BigQuery related stuff.

pypi package

Install

pip install am4894bq

Quickstart

from am4894bq.schema import get_schema

# get a schema for a sample table
schema = get_schema('bigquery-public-data.samples.shakespeare')
schema
[SchemaField('word', 'STRING', 'REQUIRED', 'A single unique word (where whitespace is the delimiter) extracted from a corpus.', ()),
 SchemaField('word_count', 'INTEGER', 'REQUIRED', 'The number of times this word appears in this corpus.', ()),
 SchemaField('corpus', 'STRING', 'REQUIRED', 'The work from which this word was extracted.', ()),
 SchemaField('corpus_date', 'INTEGER', 'REQUIRED', 'The year in which this corpus was published.', ())]

Examples

You can see some example notebooks in the examples folder of the repository.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

am4894bq-0.1.15.tar.gz (10.0 kB view details)

Uploaded Source

Built Distribution

am4894bq-0.1.15-py3-none-any.whl (9.5 kB view details)

Uploaded Python 3

File details

Details for the file am4894bq-0.1.15.tar.gz.

File metadata

  • Download URL: am4894bq-0.1.15.tar.gz
  • Upload date:
  • Size: 10.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.2

File hashes

Hashes for am4894bq-0.1.15.tar.gz
Algorithm Hash digest
SHA256 f7e6cf7cbcdab006ec922317587474051cddc1986e9134c57d22c022668e65f2
MD5 0a337cb52c1a643c14d2a5c980b8d39b
BLAKE2b-256 8e404d76cb760f7b0f9ad252c505a3922225b90b2f3fec3f21b4733e48788418

See more details on using hashes here.

File details

Details for the file am4894bq-0.1.15-py3-none-any.whl.

File metadata

  • Download URL: am4894bq-0.1.15-py3-none-any.whl
  • Upload date:
  • Size: 9.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.2

File hashes

Hashes for am4894bq-0.1.15-py3-none-any.whl
Algorithm Hash digest
SHA256 bebce7b8457f824e539ae8a39483f0850003b7e0d856179bc5d53d759bef337b
MD5 c0cded3e4fb66eae6af2828b4c9326ca
BLAKE2b-256 a615952ce2bfb0675d876faf525f57206c29be53b018f5bfe286a5aca2c4e981

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page