GraphQL With Python (Django): A Complete Guide

GraphQL allows to specify and retrieve the exact data needed from the server which will improve speed. It allows accessing the API using a single endpoint reducing network latency.

You need a Python backend or Full Stack web framework like Django that either has GraphQL integrated or has an additional module to support GraphQL APIs. In the tutorial, we used Django as a framework and graphene as an additional module. But there are others frameworks that you can use like FastAPI or Flask.

There is no best language for GraphQL as it is a specification implemented in several languages. So the language will depend on the frameworks and the tools used for development. For instance, if the project has many real-time core features, Nodejs will be a better choice than Python for the backend framework, and then the language will be JavaScript instead of Python.

Yes, because compared to REST, where you can retrieve all the information of the schema using GET by default, GraphQL helps the client to specify and retrieve exactly what is requesting as data.

If you are using Django, you just need to create a Django project, setup an app, add graphene module, create a query class, and add it to the "schema".

You can install (using pip or poetry) and use any Python GraphQL clients like python-graphql-client - PyPI and just follow the straightforward documentation.