Understanding Flask and Building Web API using Python and Flask by Nikhil pentapalli Analytics Vidhya

In the above image, you can see that the client machine is your computer from where you can request data for a database server. All the communications will be done over the REST APIs and you will be provided with the required outcome. REST API can be abbreviated as Representational State Transfer. Your users require access to your data in real-time, like displaying it as a part of an application or displaying it on another website. REST API services let you interact with the database by simply doing HTTP requests.

  • This code shows HTML elements and HTML attributes that you may have seen before.
  • So far, you’ve only created one endpoint to serve all people.
  • So if the Easter Bunny wants to go by Easter Rabbit, that’s allowed.
  • As we have seen, however, exploring an API can be a useful first step in gathering data to tackle a research question.
  • Create the Update EndpointTo update a resource, you send a PUT request with a request body to the URL of the record you want to update.
  • Similar to Java packages and C# namespaces, modules in Python are files organized in directories that other Python scripts can import.

Place this code underneath the import and app instantiation lines. Create the List Endpoint in FlaskRESTful services typically have two endpoints used to retrieve resources. One endpoint lists all resources or filters them according to some criterion. The second endpoint retrieves the details of a specific resource based on a unique identifier. In this section, you create two endpoints to GET resources from your API.

Finding Specific Resources

From the new data frame, we do the same splitting of our data into separate data frames for the training set and for the training labels. Then we use pandas to concatenate both the previous training set and the new set as well as the previous training labels and the new labels. Finally, we can run our API (in PyCharm you can just right click anywhere in the script and click “Run”). Here’s a quick example of how a pickled file can be used with our linear regression model. Before we dive in, let’s go over what Flask is and how to set it up. If you want to skip to the code, the API and Jupyter Notebook are both on GitHub. Quotes is the name of the file, and funny_quotes is the only function in this file.

  • We will start improving it in a second, but first, let’s create an executable file called bootstrap.
  • If the size of the data you are providing is relatively small, you can instead provide a “data dump” in the form of a downloadable JSON, XML, CSV, or SQLite file.
  • The Python software foundation also gives great documentation where adopters can learn it fast.
  • The update() function expects the arguments lname and person.
  • We’ll discuss potential uses for this functionality after examining our code more closely.

When init_database.py finds a database named people.db, then the script backs up its contents and re-creates the database with the rules that you define in models.py. Here, you create a new database where lname doesn’t contain a unique constraint anymore and then populate the database with the existing data again. Before you start to style your front end, have a look at the back end first. Once you’ve got the Flask REST API folder structure in place, you can read on to create the database.

Prevent a Type Error

HTML attributes with the data prefix are custom HTML attributes that you define yourself. Using data attributes allows you to store arbitrary information on the HTML. Also, data attributes are handy when selecting HTML elements in your JavaScript code. You’ll use data attributes quite a lot in the following sections to store key information on the front end.

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Each python api design language dictionary has keys for its name, the approximate year it was published, and its contributions to modern programming languages. Create a small in-memory data store to store the data related to programming languages.

Method 1: using only Flask

RESTful services conventionally use a DELETE verb for the delete endpoint. There are two reasons to put the list into an object with a label, rather than returning the raw array.

  • The next step is creating the application instance using Connexion rather than Flask.
  • The only knowledge explicitly assumed for this lesson is the ability to use a text editor, such as BBEdit on macOS or Notepad++ on Windows.
  • Restless is a lightweight API framework that aims to be framework agnostic.
  • With all the endpoints to manage people in place, it’s time to try out your API.

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