Learning Pydantic: Advanced Data Validation In Python – CG群

Pydantic高级数据验证完全指南

学习Pydantic高级数据验证与序列化技术，包含FastAPI和Redis实战项目。从模型定义到API部署，系统掌握Python数据验证核心技能，适合所有水平开发者。

Learning Pydantic: Advanced Data Validation In Python

The Complete Guide To Pydantic Including A Full Capstone Project with FastAPI And Redis

What you’ll learn
✓ Gain an in-depth understanding of what Pydantic is and how it is used
✓ Practice defining Pydantic data models using modern type hints, custom validations, and fine-tuned configuration
✓ Learn how to define complex, interdependent, and nested data models with Pydantic
✓ Serialize model instances into JSON and deserialize incoming data
✓ Practice using Pydantic in the context of building and deploying a real-world python web API
✓ Master relevant concepts in modern python application development, like dependency management and version control

Requirements
● Some basic experience with python would help but is NOT required
● A full-length introduction to Python is included as an optional Appendix
● A general willingness to learn is the only prerequisite as all relevant concepts will be explained as and when used

Description
Welcome to the best resource online for learning modern Pydantic, a data validation library that has taken the python community by storm.

There’s a good reason for this. Pydantic is a powerful library that elegantly solves a very common problem in software development: data validation.

Pydantic’s speed, simple declarative syntax, and extensibility make it an indispensable utility in modern python development.

And in this course, you will learn everything you need to know to get started with Pydantic, from the very basics of defining data models, to more advanced topics such as fields with factory defaults, creating custom model-validators, data serialization, and much more.

The first part of the course will be purely about pydantic, where we explore it in isolation. You will learn

• how to define data models with pydantic

• how to compose more complex models from simpler ones via inheritance

• the foundations of type hinting in python, including enumerations, literals, and other advanced types-

• how to use pydantic’s powerful validation system

• how to serialize and deserialize data

• how to extract models to schemas

• how to validate data against pydantic models

Then in the second part of the course we will turn our attention to the Capstone Project, where we will use pydantic to develop and deploy a python web API that allows users to create and vote on polls. This app will use Redis as our durable key-value data store, and will be deployed to production as a serverless function.

The Capstone will be developed step by step, in a series of about 30 skill challenges, where you will be asked to incrementally implement small features. This will give you the opportunity to practice what you’ve learned in the first part of the course, and to:

• get a practical feel for how Pydantic is used in real-world applications

• learn about modern API development with python

• understand what Redis is and how it can be used as a durable data store

• learn about virtual environments and dependency management in python

• practice using git and github

• learn the basics of serverless computing by deploying the API as a serverless function

The course will use the latest version of Pydantic, which leverages the power of Rust to achieve blazing fast performance.

Also, if you’re new to python or haven’t used the used the language in a while, there’s a full-featured python crash course included as an extra appendix which will get you up to speed in no time.

I’m very excited to share this with you, and I look forward to seeing you in the course!

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