Building REST APIs with Flask and Python

Building REST APIs with Flask and Python, available at $19.99, has an average rating of 4.55, with 106 lectures, 15 quizzes, based on 125 reviews, and has 733 subscribers.

You will learn about Establish connections between web or mobile applications and databases and servers using REST APIs. Build robust and secure REST APIs that encompass authentication, deployments, and database migrations. Grasp the various layers of a web server and comprehend how web applications interact within this framework. Implement seamless user authentication with advanced functionalities, such as token refresh. Manage user log-outs effectively and protect against abuse in REST APIs by employing JWT blacklisting. Create high-quality REST APIs with guidance from experienced professionals. Enhance the performance of your REST APIs by utilizing task queues and background workers. This course is ideal for individuals who are Individuals interested in enhancing the functionalities of web and mobile applications through server-side technologies. or Software developers seeking to broaden their expertise by mastering the development of professional-grade REST APIs. or Aspirants aiming to learn Python with a focus on building web services. It is particularly useful for Individuals interested in enhancing the functionalities of web and mobile applications through server-side technologies. or Software developers seeking to broaden their expertise by mastering the development of professional-grade REST APIs. or Aspirants aiming to learn Python with a focus on building web services.

Enroll now: Building REST APIs with Flask and Python

Summary

Title: Building REST APIs with Flask and Python

Price: $19.99

Average Rating: 4.55

Number of Lectures: 106

Number of Quizzes: 15

Number of Published Lectures: 106

Number of Published Quizzes: 15

Number of Curriculum Items: 121

Number of Published Curriculum Objects: 121

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Establish connections between web or mobile applications and databases and servers using REST APIs.
Build robust and secure REST APIs that encompass authentication, deployments, and database migrations.
Grasp the various layers of a web server and comprehend how web applications interact within this framework.
Implement seamless user authentication with advanced functionalities, such as token refresh.
Manage user log-outs effectively and protect against abuse in REST APIs by employing JWT blacklisting.
Create high-quality REST APIs with guidance from experienced professionals.
Enhance the performance of your REST APIs by utilizing task queues and background workers.

Who Should Attend

Individuals interested in enhancing the functionalities of web and mobile applications through server-side technologies.
Software developers seeking to broaden their expertise by mastering the development of professional-grade REST APIs.
Aspirants aiming to learn Python with a focus on building web services.

Target Audiences

Individuals interested in enhancing the functionalities of web and mobile applications through server-side technologies.
Software developers seeking to broaden their expertise by mastering the development of professional-grade REST APIs.
Aspirants aiming to learn Python with a focus on building web services.

Welcome to the top-rated Udemy course on REST API development! I’m Pratap, a software engineer, and I’m here to help you master web and REST API development using Python, Flask, and Docker.

In this comprehensive course, we will cover everything you need to know, starting with a Python refresher that will take you from the basics to advanced features. We’ll then dive into creating simple, intermediate, and advanced REST APIs, complete with authentication, database handling, and more, using Flask and popular extensions like Flask-Smorest, Flask-JWT-Extended, and Flask-SQLAlchemy.

Throughout the course, we’ll explore essential technologies such as Git, Postman and database, ensuring you have all the tools you need to build production-ready REST APIs. Additionally, we’ll cover Docker to simplify the process of running and deploying your APIs.

By the end of this course, you’ll have the skills to:

Create resource-based, production-ready REST APIs using Python, Flask, and popular extensions.
Handle secure user registration and authentication with Flask.
Efficiently store resources to a database using SQLAlchemy and Flask-SQLAlchemy.
Understand the complexities of deploying Flask REST APIs.

But first, let’s understand what a REST API is.

It’s an application that accepts data from clients and returns data back. For instance, it can handle user authentication by accepting a username and password and checking their validity in the database. REST APIs are commonly used by web apps and mobile apps as clients.

With the knowledge you’ll gain in this course, you’ll be able to develop any REST API you need for your own projects.

I take great pride in offering exceptional support and feedback to every student. I’ll be available to guide you and answer any questions you may have.

Don’t wait any longer; take the first step toward mastering REST API development. I look forward to seeing you inside the course!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to the course

Lecture 2: Exercise: Meet Your Classmates & Instructor

Lecture 3: Environment Setup

Lecture 4: How to get started with this Course?

Lecture 5: Installing Python on Mac

Lecture 6: Install Python on Windows

Chapter 2: Let's recap Python

Lecture 1: Section Introduction

Lecture 2: Get the code for this section from here

Lecture 3: Variables

Lecture 4: String formatting

Lecture 5: Getting user input

Lecture 6: Writing our first Python app

Lecture 7: Lists, tuples and sets in Python

Lecture 8: Booleans in Python

Lecture 9: Advanced Sets operation

Lecture 10: if statements

Lecture 11: The 'in' keyword in Python

Lecture 12: if statements with the 'in' keyword

Lecture 13: Loops in Python – for loop

Lecture 14: Loops in Python – while loop

Lecture 15: List comprehensions in Python

Lecture 16: Dictionaries

Lecture 17: Dictionary comprehensions

Lecture 18: Destructuring in Python

Lecture 19: Functions in Python

Lecture 20: Function arguments

Lecture 21: Default argument and keyword arguments

Lecture 22: Functions returning values

Lecture 23: Lambda functions in Python

Lecture 24: Unpacking arguments and keyword arguments

Lecture 25: Object-Oriented Programming in Python

Lecture 26: Magic methods: __str__ and __repr__

Lecture 27: @classmethod and @staticmethod

Lecture 28: Class inheritance

Lecture 29: Class composition

Lecture 30: Type hinting in Python3.5+

Lecture 31: Modules and Imports in Python

Lecture 32: Absolute and Relative imports in Python

Lecture 33: Exceptions in Python

Lecture 34: Custom exception classes

Lecture 35: First-class functions

Lecture 36: Simple decorator in Python

Lecture 37: The @ syntax for decorator

Lecture 38: Mutability in Python

Lecture 39: Mutable default parameters (and why they're a bad idea)

Chapter 3: Advanced Python

Lecture 1: Keep in Mind

Lecture 2: Python's map() Function Explained

Lecture 3: Python's filter() Function Explained

Chapter 4: Let's build our first REST API

Lecture 1: Summary of the project we intend to develop.

Lecture 2: Setting up the initial configuration for a Flask application

Lecture 3: Creating the first endpoint for your REST API in Flask

Lecture 4: What is JSON?

Lecture 5: Testing and interacting with your REST API

Lecture 6: Creating shops in your REST API

Lecture 7: Adding products to shops in your REST API

Lecture 8: Retrieving a specific shop and its products in your REST API

Chapter 5: Introduction to Docker

Lecture 1: What are Docker containers and images?

Lecture 2: Download resources

Lecture 3: Running a Flask app in a Docker container

Chapter 6: Leveraging Flask-Smorest for streamlined and efficient development

Lecture 1: Adding dependencies and adding DB

Lecture 2: Adding new endpoints to our API

Lecture 3: Testing the new endpoints and fixing the errors

Lecture 4: Running the API in Docker with auto-reload and debug mode

Lecture 5: Using Blueprints and MethodViews for Shops in your API

Lecture 6: Using Blueprints and MethodViews for Products in your API

Lecture 7: Creating Marshmallow schemas for your API

Lecture 8: Implementing data validation using Marshmallow

Lecture 9: Enhancing responses with Flask-Smorest decorators

Lecture 10: Download Postman Collection

Lecture 11: Testing our APIs after integrating marshmallow

Chapter 7: Store data in a SQL database with SQLAlchemy

Lecture 1: Note before going to next lecture

Lecture 2: Introduction to SQLAlchemy

Lecture 3: Get started and create ProductModel and ShopModel

Lecture 4: Creating one-to-many relationships with SQLAlchemy

Lecture 5: Setting up Flask-SQLAlchemy configuration for your Flask app

Lecture 6: Inserting data into a table using SQLAlchemy

Lecture 7: Finding models in the database by ID or returning a 404 if not found

Lecture 8: Updating models using SQLAlchemy

Lecture 9: Retrieving a list of all models

Lecture 10: Deleting models and related models with cascading using SQLAlchemy

Lecture 11: Testing the changes we have made in this section

Instructors

Pratap Sharma
Senior Software Engineer

Rating Distribution

1 stars: 2 votes
2 stars: 0 votes
3 stars: 4 votes
4 stars: 22 votes
5 stars: 97 votes

Frequently Asked Questions

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