Mastering REST APIs with FastAPI

Focused View

Jose Salvatierra

8:42:55

35 View

1 - Course Introduction

1 - Community.mp4

00:24

2 - Instructions Join the Community.html

3 - Welcome to this course.mp4

02:59

4 - Platform features and notetaking.html

5 - You can do it.html

6 - What is an API.mp4

09:44

7 - What is REST.mp4

09:23

2 - Working with FastAPI

8 - Introduction to this section.mp4

02:52

9 - Your First FastAPI App.mp4

03:58

10 - Initial App Setup.mp4

07:49

11 - Linting formatting and sorting imports.mp4

06:42

11 - Set up VSCode for Python Teclado blog post.txt

12 - Our social media API adding posts.mp4

10:57

13 - Splitting our API into files with APIRouter.mp4

02:21

14 - Adding comments to the social medical API.mp4

11:07

3 - Introduction to pytest

15 - Introduction to the pytest section.mp4

00:42

16 - The basics of pytest.mp4

06:26

17 - Getting started with FastAPI tests.mp4

07:34

18 - Creating posts in our tests.mp4

04:30

19 - Adding tests for posts.mp4

09:16

20 - Adding comments tests.mp4

08:00

4 - Working with async databases

21 - Introduction to working with databases.mp4

01:19

22 - Installing requirements for async databases in FastAPI.mp4

01:57

23 - Creating a config file using Pydantic.mp4

03:25

24 - Different configurations per environment in.mp4

06:15

25 - Config caching and how to get the config object.mp4

04:26

26 - Async database setup with FastAPI.mp4

07:38

27 - Database connection with lifespan events in FastAPI.mp4

04:46

28 - Run your FastAPI test in test mode.mp4

02:19

29 - Using a database in our FastAPI router.mp4

16:07

5 - Logging in FastAPI applications

30 - Introduction to logging.mp4

01:00

31 - Python logging loggers handlers and formatters.mp4

15:59

32 - Logger hierarchies and name.mp4

08:09

33 - Adding Logging Configuration for FastAPI Applications.mp4

10:54

34 - How to configure multiple loggers in the logging module.mp4

03:37

35 - Adding File Handlers for Saving Logs.mp4

07:43

36 - Python logging filters and custom filters.mp4

06:53

37 - Logging HTTPExceptions with an Exception Handler.mp4

04:54

38 - Add logging to your FastAPI endpoints.mp4

02:35

39 - Identifying logs from the same request Correlation ID.mp4

07:27

40 - Adding JSONformatted log files.mp4

02:34

41 - Obfuscating email addresses in logs using a custom filter.mp4

09:14

42 - Adding Logtail for Cloud Logging in FastAPI.mp4

03:43

43 - Enabling Logtail in only in production.mp4

01:19

6 - User authentication with FastAPI

44 - Introduction to user authentication.mp4

01:01

45 - Installing requirements and what are JWTs.mp4

07:21

46 - Adding a users table and retrieving users by email.mp4

03:21

47 - Adding user registration and tests.mp4

11:12

48 - Adding tests for the user registration endpoint.mp4

03:14

49 - How to hash passwords with passlib.mp4

06:17

50 - Generate the access token.mp4

13:22

51 - Retrieve the current user with their token.mp4

06:35

52 - Use the current user in the API router.mp4

13:59

53 - Dependency injection getting the user.mp4

03:48

54 - Adding user relationships to other tables.mp4

03:02

7 - Manytomany relationships

55 - Introduction to manyto many.html

56 - Adding a table for post likes.mp4

01:11

57 - Adding an API route to like posts.mp4

07:21

58 - Extracting reusable queries with SQLAlchemy.mp4

08:16

59 - Query string arguments and data sorting with Enum.mp4

16:51

8 - User email confirmation

60 - Creating the confirmation token.mp4

07:01

61 - Decoding the confirmation token.mp4

14:33

62 - Adding a user confirmation endpoint.mp4

10:25

63 - Requiring user confirmation for authenticated requests.mp4

04:05

64 - Mailgun setup and configuration.mp4

02:44

65 - Sending emails and testing with Python.mp4

15:47

66 - Sending a confirmation email on registration.mp4

04:48

67 - Sending emails with background tasks.mp4

05:59

9 - File Uploads with FastAPI

68 - Account setup for Backblaze B2.html

69 - Our configuration for Backblaze B2.mp4

01:29

70 - Internal library for Backblaze B2.mp4

09:57

71 - Writing our file upload endpoint.mp4

09:24

72 - Writing tests for file upload.mp4

18:22

10 - Background Tasks for Image Generation

73 - Model and database changes for image generation.mp4

02:44

74 - Configuration for DeepAI our third party service.mp4

03:46

75 - Generating images using background tasks.mp4

20:41

76 - Executing image generation in our FastAPI endpoint.mp4

07:12

11 - FastAPI Deployments and Application Management

77 - Updating our project to Pydantic v2.mp4

06:29

78 - Deploy a FastAPI app to Render.mp4

06:09

79 - Add a free PostgreSQL database to your FastAPI app.mp4

09:15

80 - Error management with Sentry for FastAPI apps.mp4

07:58

81 - Continuous Integration with GitHub Actions for Python apps.mp4

08:19

Description

Build professional APIs using FastAPI, including 100% test coverage, background tasks, user authentication, and more!

What You'll Learn?

Gain broad experience with FastAPI
Understand how to test FastAPI apps using Pytest with 100% test coverage
Become a master of logging with the built-in logging module
Add user authentication with password hashing and Bearer tokens
Use an async SQL database and model one-to-many and many-to-many relationships
Send user emails when they register without a performance hit using background tasks
Handle file uploads and store them in a third-party service
Deploy your FastAPI apps to the cloud

Who is this for?

Software developers looking to expand their skill-set by learning to develop professional grade FAST APIs

Students wanting to extend the capabilities of mobile and web applications by using server-side technologies

What You Need to Know?

Some prior programming experience in any programming language.

All software used in the course is provided, and completely free

Complete beginners may wish to take a beginner Python course first, and then transition to this course afterwards

More details

Description
With FastAPIÂ you can build complete, high-performance APIs in days, and adding new features is blazing-fast. That's why FastAPIÂ has become so popular in recent years.
In this course, I'll show you how to go from a blank slate to a complete, finished FastAPI application.

The project
We'll build social media API with user authentication, email sending, and file upload. Users will be able to register and log in using Bearer (JWT) tokens. They will be able to create posts, leave comments, and like existing posts.
We'll use Pydantic for data validation and encode/databases as our database connectivity library.

Advanced knowledge
Use background tasks in FastAPI to improve performance when running slow code, such as when sending emails (covered in the course) or when making slow requests to third party APIs (also covered).
Throughout the course we use an async database library, again to maximise performance, which is nonetheless straightforward to use. You'll learn about the different types of data relationships and how to model them, including many-to-many relationships.
You'll learn how to handle file uploads and what to do with the uploaded files, so you don't run out of server space.

Complete APIÂ testing
Finally, 100% of the code in this course has tests. You'll use pytest extensively to write integration and unit tests for the API. You'll learn about pytest fixtures, parametrization, and testing conventions.
Part of real-world development means logging! There's a lot of logging knowledge in this course, including how to set up the logging module properly, when to make logging calls, and where to store logs when your application is deployed.

Deployments
Of course, I'll show you how to deploy your FastAPI app using popular service Render.Â You can deploy your FastAPIÂ app for free, but I'll also show you some paid options for improved performance.
We'll also look at application management, error handling with Sentry, and CI/CDÂ with GitHub Actions.

If you use or want to use FastAPI, this course contains everything you need to develop complete, real-world APIs.

Let's get started. I'll see you on the inside!
Who this course is for:
Software developers looking to expand their skill-set by learning to develop professional grade FAST APIs
Students wanting to extend the capabilities of mobile and web applications by using server-side technologies

User Reviews

Rating

average 0

Total votes0

Focused display

REST API

Jose Salvatierra

Instructor's Courses

Hi, I'm Jose! I love helping students learn to code and master software development. I've been teaching online for over 7 years, and I founded Teclado to bring software development to everyone—my objective is for you to truly understand everything that goes on behind the scenes.Coding is extremely rewarding. As you learn, things start to click and make sense. You can join the dots of all the things that weren't quite clear before. I'm here to make that journey quick and painless!I can help you with Python and JavaScript issues, particularly in web and backend development. I'm experienced with programming libraries and frameworks like Flask, React, React Native, and AngularJS. I've worked extensively with UNIX systems, MongoDB, PostgreSQL, and advanced system architecture design.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.