REST APIs with Flask and Python in 2024
Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.
REST APIs with Flask and Python in 2024
Included with
Ask Coursera
11 reviews
Recommended experience
11 reviews
Recommended experience
What you'll learn
Develop REST APIs with Flask and Python
Implement CRUD operations using SQLAlchemy
User authentication with Flask-JWT-Extended
Deploy applications using Docker and Render.com
Skills you'll gain
Details to know
See how employees at top companies are mastering in-demand skills
There are 12 modules in this course
This course features Coursera Coach!
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive course, you will master the art of building REST APIs using Flask and Python. You will start by refreshing your Python fundamentals, focusing on key concepts like data structures, functions, and object-oriented programming. With this foundation, you'll quickly dive into the world of Flask, learning how to create REST API endpoints, handle data, and manage databases using SQLAlchemy. As you progress, you’ll discover advanced techniques such as Docker containerization, API testing with Insomnia, and securing your APIs with JWT authentication. The course also includes hands-on projects, such as building a fully functional REST API that connects to a PostgreSQL database, and deploying it on Render.com for real-world application. Ideal for Python developers looking to expand their skills in web development, this course covers everything from simple API setup to advanced features like background task queues and email notifications. By the end of the course, you’ll be able to confidently build and deploy modern REST APIs using Flask, and manage them effectively with industry-standard tools.
In this module, we will present the highlights and benefits of mastering REST APIs with Flask and Python. You'll gain insights into the significance of this skill set for your professional growth and be encouraged to dive into the learning experience.
What's included
1 video1 reading
1 video•Total 2 minutes
- Promotion•2 minutes
1 reading•Total 10 minutes
- Full Course Resources•10 minutes
In this module, we will comprehensively review essential Python programming concepts, covering variables, data structures, control flow, functions, object-oriented programming, and more. This section will reinforce your Python knowledge and prepare you for advanced applications in API development.
What's included
47 videos
47 videos•Total 314 minutes
- Introduction to this section•1 minute
- Variables in Python•8 minutes
- Solution to coding exercise: Variables•2 minutes
- String formatting in Python•6 minutes
- Getting user input•5 minutes
- Writing our first Python app•3 minutes
- Lists, tuples, and sets•7 minutes
- Advanced set operations•5 minutes
- Solution to coding exercise: Lists, tuples, sets•5 minutes
- Booleans in Python•5 minutes
- If statements•8 minutes
- The 'in' keyword in Python•2 minutes
- If statements with the 'in' keyword•8 minutes
- Loops in Python•11 minutes
- Solution to coding exercise: Flow control•3 minutes
- List comprehensions in Python•7 minutes
- Dictionaries•9 minutes
- Destructuring variables•8 minutes
- Functions in Python•11 minutes
- Function arguments and parameters•8 minutes
- Default parameter values•4 minutes
- Functions Returning Values•7 minutes
- Solution to Coding Exercise: Functions•3 minutes
- Lambda Functions in Python•8 minutes
- Dictionary Comprehensions•4 minutes
- Solution to Coding Exercise: Dictionaries and Students•6 minutes
- Unpacking Arguments•10 minutes
- Unpacking Keyword Arguments•9 minutes
- Object-Oriented Programming in Python•16 minutes
- Magic Methods: ..str.. and ..repr..•6 minutes
- Solution to Coding Exercise: Classes and Objects•5 minutes
- @classmethod and @staticmethod•14 minutes
- Solution to Coding Exercise: @classmethod and @staticmethod•6 minutes
- Class Inheritance•9 minutes
- Class Composition•6 minutes
- Type Hinting in Python 3.5+•5 minutes
- Imports in Python•10 minutes
- Relative Imports in Python•9 minutes
- Errors in Python•13 minutes
- Custom Error Classes•5 minutes
- First-Class Functions•8 minutes
- Simple Decorators in Python•7 minutes
- The "at" Syntax for Decorators•4 minutes
- Decorating Functions with Parameters•2 minutes
- Decorators with Parameters•5 minutes
- Mutability in Python•6 minutes
- Mutable Default Parameters (and Why They Are a Bad Idea)•4 minutes
In this module, we will guide you through building your first REST API using Flask. You'll learn to set up the Flask app, create endpoints, and interact with the API using JSON, laying the groundwork for more complex projects.
What's included
8 videos1 assignment
8 videos•Total 39 minutes
- Overview of the project we'll build•4 minutes
- Initial set-up for a Flask app•5 minutes
- Your first REST API endpoint•4 minutes
- What is JSON?•4 minutes
- How to interact with and test your REST API•4 minutes
- How to create stores in our REST API•6 minutes
- How to create items in each store•8 minutes
- How to get a specific store and its items•5 minutes
1 assignment•Total 15 minutes
- Assessment 1•15 minutes
In this module, we will introduce Docker and demonstrate how to containerize your Flask application. You will learn to use Docker and Docker Compose to streamline development and deployment processes.
What's included
3 videos
3 videos•Total 30 minutes
- What are Docker containers and images?•13 minutes
- How to run a Flask app in a Docker container•11 minutes
- How to run the Flask REST API with Docker Compose•5 minutes
In this module, we will explore the Flask-Smorest extension to improve your API development process. You'll learn to enhance data models, create new endpoints, and use Flask-Smorest for decorating responses and validating data.
What's included
8 videos
8 videos•Total 62 minutes
- Data model improvements for our API•16 minutes
- General improvements to our first REST API•7 minutes
- New endpoints for our first REST API•9 minutes
- How to run the API in Docker with automatic reloading and debug mode•6 minutes
- How to use Blueprints and MethodViews in Flask•10 minutes
- How to write marshmallow schemas for our API•4 minutes
- How to perform data validation with marshmallow•5 minutes
- Decorating responses with Flask-Smorest•5 minutes
In this module, we will cover integrating SQLAlchemy with Flask for robust database management. You'll learn to create and manage database models, handle relationships, and perform CRUD operations efficiently.
What's included
11 videos1 assignment
11 videos•Total 50 minutes
- Overview and why use SQLAlchemy•2 minutes
- How to code a simple SQLAlchemy model•5 minutes
- How to write one-to-many relationships using SQLAlchemy•10 minutes
- How to configure Flask-SQLAlchemy with your Flask app•8 minutes
- How to insert data into a table using SQLAlchemy•7 minutes
- How to find models in the database by ID or return a 404•4 minutes
- How to update models with SQLAlchemy•5 minutes
- How to retrieve list of all models•1 minute
- How to delete models with SQLAlchemy•1 minute
- Deleting related models with cascades•4 minutes
- Conclusion of this section•4 minutes
1 assignment•Total 15 minutes
- Assessment 2•15 minutes
In this module, we will delve into complex data relationships using SQLAlchemy. You will learn to implement one-to-many and many-to-many relationships, optimizing your database models for real-world scenarios.
What's included
3 videos
3 videos•Total 25 minutes
- Changes in this section•3 minutes
- One-to-many relationship between stores and tags•11 minutes
- Many-to-many relationship between items and tags•11 minutes
In this module, we will explore user authentication with Flask-JWT-Extended. You will learn to integrate JWT-based authentication, create registration and login endpoints, and secure your API endpoints effectively.
What's included
10 videos
10 videos•Total 67 minutes
- Who uses the JWT?•10 minutes
- How to set up Flask-JWT-Extended with our app•4 minutes
- Coding the User model and schema•2 minutes
- How to add a register endpoint to the REST API•10 minutes
- How to add a login endpoint to the REST API•9 minutes
- Protect endpoints by requiring a JWT•6 minutes
- JWT claims and authorization•6 minutes
- How to add logout to the REST API•6 minutes
- Request chaining with Insomnia•5 minutes
- Token refreshing with Flask-JWT-Extended•9 minutes
In this module, we will introduce Alembic and Flask-Migrate for handling database migrations. You will learn to set up, initialize, and manage database schemas, ensuring smooth transitions during development.
What's included
4 videos1 assignment
4 videos•Total 16 minutes
- How to add Flask-Migrate to our Flask app•2 minutes
- Initialize your database with Flask-Migrate•6 minutes
- Change SQLAlchemy models and generate a migration•5 minutes
- Manually review and modify database migrations•3 minutes
1 assignment•Total 15 minutes
- Assessment 3•15 minutes
In this module, we will provide a crash course on Git, covering the basics of version control, branching, merging, and resolving conflicts. You will learn to manage your code efficiently and collaborate effectively using Git.
What's included
7 videos
7 videos•Total 40 minutes
- What are Git repositories and commits?•10 minutes
- Initialize a Git repository for our project•8 minutes
- Writing Markdown for documents and commits•3 minutes
- Remote repositories and how to use them•5 minutes
- Git branches and merging•6 minutes
- Merge conflicts and how to resolve them•5 minutes
- Overview of the final e-book chapters•2 minutes
In this module, we will guide you through deploying your Flask applications on Render.com. You will learn to set up web services, manage PostgreSQL databases, and test your applications to ensure stability in production.
What's included
6 videos
6 videos•Total 41 minutes
- Creating a Render.com web service•6 minutes
- How to run Flask with gunicorn in Docker•6 minutes
- Get a deployed PostgreSQL database•2 minutes
- Run the app and database locally with Docker Compose•17 minutes
- Use PostgreSQL locally and in production•2 minutes
- Test the finished production app•9 minutes
In this module, we will cover task queues and background task management using rq. You will learn to send emails with Mailgun, manage task queues, and deploy background task workers, enhancing the functionality and reliability of your Flask applications.
What's included
7 videos3 assignments
7 videos•Total 47 minutes
- How to send emails with Python and Mailgun•5 minutes
- How to send emails when users register•10 minutes
- What is a task queue and setting up a Redis database•5 minutes
- How to Populate and consume the task queue with rq•6 minutes
- How to process background tasks with the rq worker•5 minutes
- How to send HTML emails using Mailgun and Python•10 minutes
- How to deploy a background worker to render.com•6 minutes
3 assignments•Total 90 minutes
- Full Course Practice Assessment•15 minutes
- Assessment 4•15 minutes
- Full Course Assessment•60 minutes
Instructor
Explore more from Mobile and Web Development
Course
- Status: Free Trial
Course
- Status: Free Trial
- Status: Free Trial
Why people choose Coursera for their career
Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
More questions
Financial aid available,