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FastAPI Prerequisite: Pydantic, Dependency Injection, Python

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Bare minimum requirements for getting started with FastAPI. Pydantic, SQLAlchemy, Async Python, Dependency Injection
5
5/5
(2) Ratings
612 students
Created by Sourabh Sinha
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What you'll learn

  • The bare minimum concepts needed to get started with FastAPI
  • Type hinting, Generators, Inheritance, Pydantic, Dependency Injection, Async Programming
  • Python basics that sets a foundation for effective fastapi learning experience.
  • Restful API Design Principles
This course includes:
1 total hour on-demand video
0 articles
0 downloadable resources
9 lessons
Full lifetime access
Access on mobile and TV
Certificate of completion
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Course content

Requirements

  • Basic understanding of Python is required.
  • Understanding of basic object oriented principles is needed.

Description

This course is designed for students and developers who want to learn how to build fast and reliable web applications using the FastAPI Python framework. This course serves as a prerequisite for anyone who wants to dive deeper into the FastAPI framework.

The course covers the basic concepts of Python programming, type hinting, data validation, inheritance, dependency injection, and asynchronous programming, which are necessary for building FastAPI applications.

Throughout the course, students will complete hands-on exercises and quizzes to solidify their understanding of the concepts covered. By the end of the course, students will have a solid foundation and will be ready to dive into the more advanced features of FastAPI.

Topics Covered:

– Type Hinting

– Inheritance

– Pydantic

– Dependency Injection

– Asynchronous Programming

The course starts by introducing Type Hinting, a powerful feature of Python 3. Type Hinting enables developers to annotate function signatures and class attributes with type information, helping to catch errors early and improve code readability. Next, students will learn about Inheritance, a key concept in Object-Oriented Programming (OOP).

Students will also dive into Pydantic, a powerful data validation and serialization library that is tightly integrated with FastAPI. They will learn how to use Pydantic to validate and serialize data in their FastAPI applications, and how to take advantage of its powerful features, such as model inheritance and advanced data types.

The course also covers Dependency Injection, a design pattern that helps developers write more modular and testable code. Students will learn how to use FastAPI’s built-in Dependency Injection system to manage their application’s dependencies and create more maintainable code.

Finally, the course covers Asynchronous Programming, a technique that allows developers to write code that can perform multiple tasks simultaneously, improving performance and scalability.

Who this course is for:

  • Beginners who want to get started with FastAPI
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