Getting Started
Connecting to REST
For information on the available WHL and TAR.GZ files for supported environments, and how to install the appropriate file for your Python distribution, see Package Installation.For information on the module to import, and how to configure the necessary connection properties in a connection string, see Establishing a Connection.
Other available connection properties can be used to configure other aspects of the connector capabilities.
Python Version Support
The CData Python Connector for REST can be installed and used in various Python 3.8, 3.9, 3.10, and 3.11 distributions.
REST Version Support
The connector models REST APIs as bidirectional database tables and XML/JSON files as views (local files, files stored on popular cloud services, and FTP servers). The connector abstracts connecting to remote data as well as data processing: TLS/SSL, HTTP/FTP, and authentication. The major authentication schemes are supported, including HTTP Basic, Digest, NTLM, OAuth, and FTP.
See Also
- Using the Connector: Establish connections and query REST through Python code.
- From SQLAlchemy: Use SQLAlchemy to establish a connection with dialect URL, and interact with REST data using mapped classes and Sessions.