An API, or Application Programming Interface, is a server that you can use to retrieve and send data to using code. APIs are most commonly used to retrieve data, and that will be the focus of this beginner tutorial. The mega-tutorial got me up and running with flask, and this one is nice as well. I’m going to go back and read the Mega tutorials before I give this a try. I’m looking to build off of what I’m learning and this a a great way to do so. The get_password function is a callback function that the extension will use to obtain the password for a given user. In a more complex system this function could check a user database, but in this case we just have a single user so there is no need for that.
Our service is open to anybody, and that is a bad thing. Essentially on Windows you have to use double quotes to enclose the body of the request, and then inside it you escape a double quote by writing three of them in sequence. In recent years REST has emerged as the standard architectural design for web services and web APIs. DevOpsChangelogWhat Full Stack MeansAbout the AuthorFuture DirectionsPage Statuses…or view the full table of contents.
Flask – a simple and easy-to-use framework for creating web applications. In the following steps, routes to add/update a student object use this schema to validate the values provided by the user. Update the user_list function to accept min/max parameters python api design and rearrange the code inside the function to return the filtered list. Create an in-memory database by assigning a list of dummy student objects to a variable named students. In this article, we created a simple rest API with Python.
Not only does RapidAPI provide a single interface for working with third-party APIs, but it also provides the ability to quickly and seamlessly publish your own API. Reqparse to parse the parameters that will go in the body of the request . In the indicated code snippet, Flask, Api and Resource are the classes that we will need to work with. Now that we understand the basic terms, we can begin to create our API. We are about to develop a RESTful API that implements the basic CRUD functionality. If you are reading this article, you are probably familiar with the possibilities that open up when you use an API . There are many reasons why you should learn to develop REST APIs in Python.
API creation learning checklist
Next you will learn how to set up testing for the application using the pytest library. You’ll setup a test database and perform a good number of integration tests. First you will learn learn the fundamentals of API design including routes, serialization/deserialization, schema validation, and models. You will also learn about how to setup and use SQL databases. Lastly, let’s create the class that represents expenses.
- It’s meant as a representation of your API-in-progress.
- If you’re familiar with NPM or Ruby’s bundler, it’s similar in spirit to those tools.
- In our restaurant example, the GET method is illustrated by asking the waiter for the menu, who will then provide it in response.
- We also used filter to extract incomes only from the transactions list.
- The final version of our API will query this database when returning results to users.
Line 12, which is a part of getAccounts() function, I converted the accounts array of dictionaries to JSON using jsonify() function and returned it. GetAccounts() function will execute when a GET request to /accounts endpoint is made. On line 10, I defined the API endpoint /accounts and the request method, which is GET. On line 5, I created a Python array of dictionaries of some dummy data and stored it in the accounts variable.