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Build a REST API in Flask

PROJECT

Build a REST API in Flask

Build a REST API to perform CRUD operations using the Flask-RESTX extension.

You will learn to:

Use Flask-RESTX to create endpoints.

Create endpoints to insert, get, update, and delete records in the database.

Use Flask-SQLAlchemy as the ORM (Object Relational Mapper).

Handle the responses and exceptions of database queries.

Skills

API Development

Backend Development

REST API

Prerequisites

Familiarity with the Flask-RESTX extension

Familiarity with SQLAlchemy

Familiarity with Flask

Technologies

Python

SQLAlchemy

Flask-RESTX

Project Description

In this project, we'll create endpoints to get and display information about different movies using Flask. We'll use the Flask-RESTX extension for REST API development. Flask-RESTX is a Flask extension that adds support for API development. This extension eases the process of API creation by providing different decorators. By default, Flask-RESTX automatically generates the Swagger UI documentation for REST APIs. SQLAlchemy will be used to handle database-related operations.

Our API will consist of the following endpoints:

Get all movies
Get a movie by its ID
Get movies between a particular range of release years
Get movies by their titles
Post a new movie
Update an existing movie
Delete a movie

Project Tasks

Getting Started

Task 0: Introduction

Task 1: Set Up the Database

Task 2: Create a Model for the Database

Task 3: Register a Flask-RESTX Model

Task 4: Create the Movies Database Table

Develop Endpoints for the API

Task 5: Add a New Movie

Task 6: Get a Movie by ID

Task 7: Get Movies Released within a Range of Years

Task 8: Get Movies by Title

Task 9: Retrieve All Movies

Task 10: Update a Movie

Task 11: Delete a Movie

Congratulations!

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Atabek BEKENOV

Senior Software Engineer

"Super excited to learn E-commerce website for my own startup venture. Thanks for your great learning platform."

Pradip Pariyar

Senior Software Engineer

"This was an excellent lesson. I learned a lot working through the process. I enjoyed it so much that I rebuilt it my AWS account to see how hard it would be to deploy to a production environment."

Renzo Scriber

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"It was my first proper data engineering project and it was amazing."

Vasiliki Nikolaidi

Senior Software Engineer

"It's a fantastic way to do hands-on practice; I enjoy this way of learning."

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Senior Software Engineer

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