Build a Modern API with FastAPI and Python

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Denis Nutiu

6:59:35

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1. Introduction

1. Introduction.html

2. Environment Setup

1. Installing Python & Configuring IDE.mp4

04:22

2. Installing Docker and Docker-Compose.mp4

05:33

3. Installing Insomnia.mp4

02:07

4. Recap.html

3. Docker Basics

1. Docker Basics.mp4

10:07

2. Docker Recap.html

4. MongoDB Basics

1. Find and Insert.mp4

11:46

2. Object Ids.mp4

03:45

3. Update, Count and Delete.mp4

03:28

5. Web API Project Structure

1. Project Setup.mp4

18:45

2. Basic API Endpoints.mp4

25:25

6. Storage Layer

1. CRUD and Repository Pattern.mp4

11:27

2. In Memory Repository.mp4

10:03

3. Unit Testing the In Memory Repository.mp4

28:20

4. MongoDB Repository Pattern.mp4

31:01

5. Unit Testing the MongoDB Repository.mp4

34:41

6. Wrap-up.html

7. Movie Tracker API

1. Movie Tracker Create Endpoint.mp4

32:05

2. Movie Tracker Read Endpoint.mp4

22:00

3. Movie Tracker Update Endpoint.mp4

14:27

4. Movie Tracker Delete Endpoint.mp4

03:50

5. Implementing Pagination.mp4

20:15

6. Unit Testing the endpoints.mp4

53:54

8. Fast API Middleware

1.1 Middleware.pdf

1. What is Middleware.mp4

01:55

2. CORS Middleware.mp4

03:54

3. Prometheus Middleware.mp4

02:46

4. Writing Custom Middleware.mp4

04:24

9. Authentication

1. Basic Authenticatioon.mp4

10:43

2. Authentication JWT.mp4

12:42

10. Deployment

1. Dockerizing the application.mp4

15:28

2. Deployment on Kubernetes.mp4

16:12

3. Visualizing Metrics with Grafana.mp4

03:06

11. Wrap Up

1. Wrap-Up.mp4

01:04

Description

Design a REST API with Fast API, write unit-tests, use MongoDB. Learn containerization, middleware, scaling & auth.

What You'll Learn?

Learn to build APIs with FastAPI and Python and organize your projects.
Learn to write unit-tests for the API.
Learn to improve development workflow using Docker and Python specific tools.
Learn to apply advanced development techniques.
Learn about FastAPI's middleware and authentication.
Learn to use MongoDB as a database.
Learn to deploy your application on Kubernetes.

Who is this for?

Developers looking to learn back-end development with Fast API and Python.

Students looking to follow a project based aproach and learn a new skills.

Everyone who is interested in learning to build a Web APIs using Python.

More details

Description
Learn to build modern APIs from scratch using Python and FastÂ API.
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Join this course in order to learn to build a Movie Tracking API from scratch using Python with FastAPI and MongoDB.Â During the course you will learn web application development basics, how to structure a Python project, how to apply design patterns and to write unit tests for your API.
You will also learn how to use the tools that professional Python developers use in their day to day work and to improve yourÂ workflow.
The course uses Python 3.10 and Fast API.

What you'll learn in this course:
- How to build a real-world Movie Tracking web service API.
- How to write unit tests with Pytest.
- How to structure a Python project.
- How to improve your development workflow with Docker and compose plugin.
- How to apply design patterns such as the Repository.
- How to code an in-memory database from scratch.
- How to work with MongoDB from Python.
- How to write and think about the application's RESTful endpoints.
- How to handle pagination.
- How to work with FastÂ API's dependency injection feature.
- How to handle configuration for your Fast APIÂ project.
- How to containerize a Python project.
- How to deploy the solution on Kubernetes.
- How to scale the API.

Course Prerequisites:
- Python knowledge is desired but NOTÂ required, it can be picked up during this course as Python is intuitive.
- Web Fundamentals knowledge is desired but NOTÂ required, it can be learned during this course by using free linked resources.

Who this course is for:
Developers looking to learn back-end development with Fast API and Python.
Students looking to follow a project based aproach and learn a new skills.
Everyone who is interested in learning to build a Web APIs using Python.

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I am a Software Developer with over 6 years of experience in developing and architecting software solutions. I have an academic background in computer science and engineering from UPT.During my time as a developer, I've built and designed complex backend services using Python, Java and Golang and have deployed them on Kubernetes. I also have hands-on experience with SQL and noSQL databases such as Apache Cassandra, MongoDB, Redis and ElasticSearch.

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