Graphql Complete Tutorial With Python & Fastapi

Graphql with python to build modern api

GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of the data in your API, gives clients the power to ask for exactly what they need and nothing more, makes it easier to evolve APIs over time, and enables powerful developer tools.

What you’ll learn

  • Basic to advanced knowledge on how to develop Graphql application using python.
  • How to create Graphql endpoints with python.
  • How to user Python with Graphql.
  • How to implement Graphql features to your Fastapi application.

Course Content

  • Introduction –> 1 lecture • 6min.
  • Create simple Graphql endpoint using python & Fastapi –> 7 lectures • 3hr 7min.

Graphql Complete Tutorial With Python & Fastapi

Requirements

  • Basic Python.

GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of the data in your API, gives clients the power to ask for exactly what they need and nothing more, makes it easier to evolve APIs over time, and enables powerful developer tools.

GraphQL queries access not just the properties of one resource but also smoothly follow references between them. While typical REST APIs require loading from multiple URLs, GraphQL APIs get all the data your app needs in a single request. Apps using GraphQL can be quick even on slow mobile network connections.

GraphQL APIs are organized in terms of types and fields, not endpoints. Access the full capabilities of your data from a single endpoint. GraphQL uses types to ensure Apps only ask for what’s possible and provide clear and helpful errors. Apps can use types to avoid writing manual parsing code.

Send a GraphQL query to your API and get exactly what you need, nothing more and nothing less. GraphQL queries always return predictable results. Apps using GraphQL are fast and stable because they control the data they get, not the server.

In this tutorial we will learn how to develop graphql applications using python & fastapi.

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