There is a lot that goes into full stack web development.

With databases, REST architecture, HTTP requests, OAuth2, and all the other protocols that go alongside full stack web development, it can be hard to learn, especially when coupled with a complicated framework like FastAPI and the nuanced parts of Python.

This course aims to eliminate that confusion by teaching FastAPI from the very basics to the advanced level. It combines theory and practical use to give you everything you need to learn FastAPI, all while allowing you to build 3 full-stack web applications written primarily in Python along the way.

Throughout the course, you will:

• Create 3 full-stack applications using FastAPI in Python and industry-standard practices

• Use Jinja2, Bootstrap, HTML, and CSS to create front-end templates with control flow (conditionals, loops, etc.)

• Fundamentally understand

And the best part is; you don't have to know anything about FastAPI, web routing, security, or any of the above. All you need is a basic understanding of Python and some familiarity with HTML and CSS, and you will be on your way to becoming a master of full stack web development in Python and FastAPI.

The curriculum takes a comprehensive look at both FastAPI and the technologies needed to build it. Before we start building any apps, we take a look at the basics of Python, including:

• Type hints

• Pydantic models

• Nuanced Python features that make development much easier, such as virtual environments.

At the end of section, there is a coding exercise and quiz that incorporate all content covered to ensure understanding.

Once the basics are covered, we start by building the first of three full stack web applications. In the first app, we focus on the basics of FastAPI by teaching:

• REST API architecture

• Jinja2

• Bootstrap

• HTML templating

• The foundational FastAPI skills needed to get a basic application up and running.

Along the way, we will be building a car information viewer that lets you view, search, create, edit, and delete information about cars, all delivered in a clean and readable codebase using Python and FastAPI.

The home page contains a list of all the cars in our database, which is neatly formatted and displayed to the user in a gridlike manner.

The navbar contains working links to the home page, a form to create a car (more on that later. ), and an embedded search bar which, when used, takes you to a search page.

The search form uses IDs to search the database for cars, and displays them to the user. It also contains error handling in case an invalid ID is passed to the user.

Each car on the page has edit and delete buttons, with the edit button taking you to an auto-filled form on a separate page to edit the data, and the delete button passing a request to a hidden route that removes it from the database.

The create form is identical to the edit form, except it has no auto-filled data. When completed, it will redirect to the home page, where the newly created car will be available to view.

The second app focuses on web security, incorporating:

• OAuth2 flows and schemes

• Password hashing

• JSON web tokens

• FastAPI-specific authentication systems

• And industry-standard practices into a main FastAPI application written in Python.

This will be built around a social media feed that uses login and registration functionality to display user information under a protected page.

The home page is available to everyone, and contains some basic text prompting the user to login. The navbar contains links to a login, registration, and logout page, all with custom error messaging to ensure new users are unique and attempted logins are properly authenticated.

The protected page contains data about the user which is displayed in a responsive grid to the user. This displays user information, friends, and notifications.

The logout feature removes any of the authentication applied to the web session and redirects to the homepage.

The third app focuses on databases, using SQLite and SQLAlchemy to build and model databases in Python and FastAPI. You will also learn to use Alembic in combination with SQLAlchemy to perform database migrations and updates.

These topics will be built around a todo list that combines user login with SQLite databases to create a full stack web application, incorporating all the elements of FastAPI, Python, OAuth2, and all the other practices learned up to that point.

Similar to the second app, the homepage is available to everyone and prompts the user to log in.

The login, registration, and logout features use the same FastAPI logic to handle authentication as the previous app, except this time, data is being pulled from a real SQLite database. This is combined with past knowledge to create authentication that works with FastAPI.

The todo page contains a list of all the tasks that pertain to the user. At the bottom of the list is a form that lets you add a new task, which sends a request to a route that handles parsing and adding the task to the user's list of tasks through advanced, FastAPI-specific Python logic.

So, are you ready to start crushing web development and building full stack web applications in FastAPI and Python? Enroll and start your FastAPI journey today.