Facebook developed GraphQL during their quest to find a better and more flexible way to work across their data. They found that they could achieve this flexibility with a query-based approach. By defining a schema that the queries can run against, an API based on GraphQL enables clients to make fewer requests while still being able to work with as much (or as little) of the data that’s exposed through the query as desired. By Vince Power.
When it comes to building a GraphQL API, there are multiple frameworks to choose from across multiple technologies. It should come as no surprise that GraphQL is also fully supported by Python. In this tutorial, we will use a Python package called Graphene to walk you through the process of setting up a GraphQL server in Python.
In the article you will find:
- What is Graphene in Python?
- Install the GraphQL APIs Python environment
- Set up Flask web server
- Building a Graphene schema
- Testing the GraphQL API
- GraphQL and Python
GraphQL has been embraced by technology leaders from Netflix to Shopify to PayPal as the modern way to do APIs, offering far more flexibility and speed than REST or SOAP, and making it ideal for both web and mobile applications. Simple GraphQL APIs are quick and easy to build in just about any language, but as this exercise has shown, Python and Graphene can give you a real headstart on developing GraphQL-based APIs. Good read!
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