We’re going to begin by loading Flask and importing some basic functions into our Python program.īefore you begin, you should create a new folder for your project in your programming directory.
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Install Flaskįlask is a web framework, meaning it’s specifically designed to make building web applications with Python simple and intuitive.
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Then we’ll show you how to route your data to different API endpoints. We’re going to start by building a basic Flask server and hosting a homepage. In this instance, we’ll be serving the title, date of publication, and the first sentence of a book via our API.
We’re going to build a basic book catalog as an example of how a REST API built with Python can yield granular results from an API and then serve them up to different API endpoints. We’re going to show you how to build a basic web API using Python, SQLite, and Flask, a popular web framework. It lets you interact with your raw data in a more hands-on manner.
Considering the power and potential of machine learning for everything from small business to science the need for quality, reliable datasets is only going to grow.īeing able to convert a dataset into an API also makes it possible to create your own custom APIs, whether that be for in-house use or to share with end-users. Datasets are the heart of some of the most advanced digital disciplines, from AI to computer vision to machine learning.
Datasets are the building blocks of an API, the genome from which your development projects will grow and evolve.
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