googleapis/google-api-python-client

Features

• REST API Clients - Provides a comprehensive REST API client for executing authenticated requests and managing large paginated result sets.
• Google API Integrations - Integrates Python applications with the broad ecosystem of Google services using discovery documents.
• Discovery API Invocations - Retrieves metadata about available resources and methods from a discovery service to understand remote interface capabilities.
• Discovery-Based Client Generators - Dynamically builds service objects at runtime by parsing JSON metadata that defines API resources and methods.
• Cursor-Based Pagination - Iterates through large datasets by automatically extracting and passing continuation tokens from server responses.
• Result Set Scrolling - Iterates through multi-page response sets to retrieve every available item from a remote collection.
• Google Cloud SDKs - Provides a Python interface for programmatically managing Google Cloud resources, virtual machines, and storage objects.
• Cloud Infrastructure Management - Provides programmatic control over virtual machines, storage buckets, and machine learning models in Google Cloud.
• Remote Service Clients - Generates dynamic clients using discovery mechanisms to interact with various external service providers.
• Dynamic Client Generators - Uses service definitions from a discovery service to create clients based on target service capabilities.
• API Request Authentication - Provides validation processes for API requests using access tokens and service accounts to secure communication.
• User Identity Verification - Confirms caller identity using authorization flows and security keys for web and installed applications.
• OAuth 2.0 Authorization Flows - Implements standard OAuth 2.0 protocol flows for securing API calls using access tokens and service accounts.
• OAuth2 Client Management - Secures network requests by attaching access tokens and managing credential flows to authenticate the client.
• API Pagination - Iterates through large datasets by following continuation tokens or page links returned by the remote server.
• API Resource Modeling - Represents API entities as nested resource objects that mirror the hierarchical structure defined in remote service metadata.
• Request Mappings - Maps Python method calls to HTTP requests by looking up endpoint and parameter specifications in a discovery document.
• Machine Learning Training - Enables the use of cloud-hosted services to build and refine predictive models using input data.
• Text Translation Services - Converts written content between languages using a specialized cloud translation service.
• Digital Advertising Automations - Automates the management of publisher inventory and exchange accounts to optimize ad space and reporting.
• Group Settings Management - Controls permission levels and administrative configurations for user groups within a domain.
• Cloud Object Storage Clients - Moves immutable data objects between local filesystems and cloud storage buckets.
• Cloud Compute Instance Management - Enables the programmatic creation, modification, and deletion of compute instances within a cloud project.
• Large File Uploads - Transfers large binary files to endpoints using resumable upload protocols.
• API Response Simulators - Intercepts network calls and returns predefined data to test application logic without triggering actual remote API requests.
• Resumable Upload Clients - Handles large binary data transfers by splitting files into chunks and tracking upload progress via a session URI.
• User Account Administration - Manages user groups, audits corporate activities, and handles administrative settings across a domain.
• API Mocking - Simulates service behavior during testing to verify application logic without making actual network requests.
• Herramientas de desarrollo - Client library for accessing Google services via Python.

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