Tutorials - Patrick Arminio: Build a production ready GraphQL API using Python

Python

Build a production-ready GraphQL API using Python, covering query language, authentication, authorization, pagination, and more with Patrick Arminio's tutorial.

Key takeaways

Use GraphQL as a query language for APIs.
Build a production-ready GraphQL API using Python.
Implement authentication and authorization using the authenticate function.
Use the DataLoader library to handle paginated queries.
Implement a connection type to handle connections between queries.
Use the Python typings syntax to define types.
Implement a generic type to create reusable types.
Use the Schema class to define a GraphQL schema.
Implement a mutation type to handle mutations.
Use the create function to create new objects.
Implement a query type to handle queries.
Use the fetch function to fetch data from a database.
Implement a batch type to handle batches of queries.
Use the Soraya library to validate types and enforce schema constraints.
Implement a union type to handle unions of types.
Use the fragment syntax to define fragments of a type.
Implement a /coercion step in GraphQL to convert types compatible to one another.
Use the graphql library to create a GraphQL API.
Implement a mutation that allows you to change type.
Use the generic type to create reusable types.
Implement a union type to handle unions of types.
Use the fragment syntax to define fragments of a type.
Implement a /coercion step in GraphQL to convert types compatible to one another.
Use the graphql library to create a GraphQL API.
Implement a mutation that allows you to change type.
Use the generic type to create reusable types.

Tutorials - Patrick Arminio: Build a production ready GraphQL API using Python

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