Learning Pydantic: Advanced Data Validation In Python
Learning Pydantic: Advanced Data Validation In Python
The Complete Guide To Pydantic Including A Full Capstone Project with FastAPI And Redis
Product Brand: Udemy
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Learning Pydantic: Advanced Data Validation In Python Coupon Code. The Complete Guide To Pydantic Including A Full Capstone Project with FastAPI And Redis
Learning Pydantic: Advanced Data Validation In Python
Learning Pydantic: Advanced Data Validation In Python Course. Welcome to the best resource online for learning modern Pydantic, a data validation library that has taken the python community by storm. Pydantic is was first released in 2018 and has since become one of the most popular python libraries. It is nowadays downloaded more than 130 million times a month, and is used by some of the largest organizations out there, from the tech giants like Google, Amazon, Apple, Meta, and Netflix, to large conglomerates in various other industries, such as Starbucks, JPMorgan Chase. Oh, and yes, even NASA.
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.
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
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