FastAPI: The Big Picture ► FastAPI Fundamentals [2023, ENG]

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FastAPI: The Big Picture ► FastAPI Fundamentals

Год выпуска: 2023
Производитель: Pluralsight
Сайт производителя: //app.pluralsight.com/library/courses/fastapi-big-picture
//app.pluralsight.com/library/courses/fastapi-fundamentals Автор: Abdul Rehman Yousaf / Reindert-Jan Ekker
Продолжительность: 4h 38m
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: FastAPI: The Big Picture (Abdul Rehman Yousaf, 2023)

This course explores the FastAPI framework to build APIs quickly and talks about why FastAPI is worth considering, the tradeoffs to consider, and reasons FastAPI may, or may not be, the right fit for you.

FastAPI is a modern, high-performance, web framework for building APIs with Python 3.7+ based on standard Python type-hints. In this course, FastAPI: The Big Picture, you’ll learn about what FastAPI is and what it is capable of. First, you’ll explore what FastAPI is along with its various features. Next, you’ll discover how to build a basic REST API using FastAPI. Finally, you’ll learn about where FastAPI stands when we compare it with other big giants like Django, Django REST Framework, and Flask. When you’re finished with this course, you’ll have the skills and knowledge of FastAPI needed to quickly build high-performance APIs.
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1. Course Overview 1. Course Overview 2. Introducing FastAPI 1. Overview
2. What Is FastAPI
3. Who Should Use FastAPI
4. Summary 3. Why Use FastAPI 1. Overview
2. Features of FastAPI
3. Exploring FastAPI Auto docs
4. Summary 4. Building a Basic FastAPI Application 1. Overview
2. Demo - Creating a Basic FastAPI App
3. Adding Routes and Databases to FastAPI
4. Generating Documentation with FastAPI
5. Summary 5. Inspirations from Alternatives and Trade-offs 1. Overview
2. Other Alternatives of FastAPI
3. Inspirations from Other Frameworks
4. Trade-off - Small Community of Developers
5. Summary 6. What’s Next 1. Overview
2. Next Steps
3. Executive Summary
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FastAPI Fundamentals (Reindert-Jan Ekker, 2022)

This course will teach you how to develop and serve a REST API using FastAPI, a Python framework that is quickly becoming the most popular way to build REST API’s in the Python world.

in this course I will teach you about creating web rest apis with FastAPI, a very popular and very modern framework that has taken the python world by storm. FastAPI takes advantage of many of the newest python features like type hints and async/await, and writing rest apis has never been faster or more fun. REST api’s written in fastapi tend to be very performant as well. In this course, we are going to build a Rest api with fastapi and along the way you will learn about all its major features. We will cover schemas and automatic data validation and conversion, persistence using sqlmodel, auto-generated documentation, authentication with oauth, and much more. By the end of this course you will have a firm understanding of all of these, and you’ll be ready to create your first rest api with fastapi. Before beginning the course you should be familiar with Python and the basics of rest API’s.
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1. Course Overview 1. Course Overview 2. Introducing FastAPI 1. Introducing FastAPI
2. Project Overview
3. What You Should Know
4. Project Requirements 3. First Steps 1. Starting a FastAPI Project
2. Adding Our First Operation
3. Running the Project
4. What if the Project Doesnt Run
5. Exploring the Auto-generated Documentation
6. How FastAPI Runs Your Code
7. Async vs. Non-Async Functions
8. Review 4. Serving Data with FastAPI 1. Adding a Parameter
2. Serving Car Data
3. Adding an Optional Query Parameter
4. Typed Parameters
5. Get by id - Path Parameters
6. Debugging with Pycharm
7. Debugging with Visual Studio Code
8. Returning 404 Not Found
9. Review 5. Serving Structured Data Using Pydantic Models 01. Creating a Data Model with Pydantic
02. Loading Data from JSON
03. Using Pydantic Models in Read-only Operations
04. Recap - HTTP Methods
05. Adding New Objects with POST
06. The Need for Separate Input and Output Models
07. The Response Model
08. Implementing PUT and DELETE
09. Using the Openapi Schema with Postman
10. Adding Example Data
11. Nested Models
12. Review 6. Using a Database with FastAPI 1. Introducing SQLModel
2. Creating a Model Class
3. Creating the Database
4. Inserting a New Car
5. Querying the Database
6. Injecting the Session
7. Implementing GET, PUT, and DELETE
8. Working with Relations
9. Review 7. Working with HTTP and FastAPI 1. Reorganizing the Code with APIRouter
2. Serving a Web Page
3. Dynamic HTML with Jinja
4. Processing Form Data
5. Status Codes and Error Handling
6. Middleware
7. Headers and Cookies
8. CORS Middleware
9. Review 8. Adding Authentication 1. Adding a User Model
2. Password Hashing
3. Column Settings - Unique and Index
4. HTTP Basic Authentication
5. OAuth 2
6. Review 9. Testing and Deployment 1. Unit Testing
2. Deployment Options
3. Deploying on Linux
4. HTTPS
5. Resources
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Prerequisites: Python

Related topics: [Pluralsight] Building Web Applications with Flask | Path [2021, ENG]
[Pluralsight] Building Web Applications with Django | Path [2021, ENG] Файлы примеров: присутствуют
Субтитры: присутствуют
Формат видео: MP4
Видео: H.264/AVC, 1280x720, 16:9, 30fps, 284 kb/s
Аудио: AAC, 48.0 kHz, 96.0 kbit/s, 2 channels
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