Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://cloud.google.com/python/docs/reference/datacatalog/3.6.2 below:

Python client library | Google Cloud

Stay organized with collections Save and categorize content based on your preferences.

• 3.27.1 (latest)
• 3.27.0
• 3.26.1
• 3.25.1
• 3.24.1
• 3.23.0
• 3.22.0
• 3.21.1
• 3.20.1
• 3.19.1
• 3.18.3
• 3.17.2
• 3.16.0
• 3.15.1
• 3.14.0
• 3.13.1
• 3.12.0
• 3.11.1
• 3.10.0
• 3.9.3
• 3.8.1
• 3.7.1
• 3.6.2
• 3.5.0
• 3.4.3
• 3.3.2
• 3.2.1
• 3.1.1
• 3.0.0
• 2.0.2
• 1.0.2
• 0.8.2
• 0.7.0
• 0.6.0
• 0.5.0
• 0.4.0
• 0.3.0

Google Cloud Data Catalog API: Google Cloud Data Catalog API provides features to attach metadata to Google Cloud Platform resources like BigQuery Tables. Key critical resources include: Entries (Data Catalog representation of a cloud resource).

• Client Library Documentation

• Product Documentation

In order to use this library, you first need to go through the following steps:

1. Select or create a Cloud Platform project.

2. Enable billing for your project.

3. Enable the Google Cloud Data Catalog API.

4. Setup Authentication.

Python >= 3.6

Python == 2.7.

The last version of this library compatible with Python 2.7 is google-cloud-datacatalog==1.0.0.

Install this library in a virtualenv using pip. virtualenv is a tool to create isolated Python environments. The basic problem it addresses is one of dependencies and versions, and indirectly permissions.

With virtualenv, it’s possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.

pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-datacatalog

pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-datacatalog

• Read the Client Library Documentation for Google Cloud Data Catalog API API to see other available methods on the client.

• Read the Google Cloud Data Catalog API Product documentation to learn more about the product and see How-to Guides.

• View this README to see the full list of Cloud APIs that we cover.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2025-08-07 UTC.

[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07 UTC."],[],[]]

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4