![]() ![]() To authenticate using OAuth, you will need to create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties. GitHub uses the OAuth 2 authentication standard. For this article, you will pass the connection string as a parameter to the create_engine function. Create a connection string using the required connection properties. When you issue complex SQL queries from GitHub, the driver pushes supported SQL operations, like filters and aggregations, directly to GitHub and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).Ĭonnecting to GitHub data looks just like connecting to any relational data source. With built-in, optimized data processing, the CData Python Connector offers unmatched performance for interacting with live GitHub data in Python. This article shows how to connect to GitHub with the CData Python Connector and use petl and pandas to extract, transform, and load GitHub data. With the CData Python Connector for GitHub and the petl framework, you can build GitHub-connected applications and pipelines for extracting, transforming, and loading GitHub data. Let's say you want to find the sum of the 'price' of the 'products'.The rich ecosystem of Python modules lets you get to work quickly and integrate your systems more effectively.
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