Learning Pydantic: Advanced Data Validation In Python

🌟 Unlock Your Data Validation Potential with Pydantic! 🌟

Learning Pydantic: Advanced Data Validation In Python

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

🚀 Welcome to the best resource online for mastering modern Pydantic! 🐍

Pydantic, a data validation library first released in 2018, has quickly risen to become one of the most popular Python libraries. It's now downloaded more than 130 million times a month and is used by some of the largest organizations in the world, including tech giants like Google, Amazon, Apple, Meta, and Netflix, as well as industry leaders such as Starbucks and JPMorgan Chase. And let's not forget NASA!

🔍 There's a good reason for this. Pydantic elegantly solves a very common problem in software development: data validation. Its 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!

📚 Part 1: Diving Into Pydantic

In the first part of the course, we'll explore Pydantic from the ground up. You'll learn how to:

• Define data models with Pydantic, setting the foundation for your data validation journey.
• Use inheritance to compose more complex models from simpler ones, creating a modular and maintainable codebase.
• Understand the foundations of type hinting in Python, including enumerations, literals, and other advanced types.
• Utilize Pydantic's powerful validation system, ensuring your data is always accurate and reliable.
• Master serialization and deserialization processes to efficiently handle data transformations.
• Extract models to schemas, making your API endpoints self-documenting.
• Validate data against Pydantic models effectively, ensuring the integrity of your application's data.

🛠️ Part 2: Real-World Application with a Capstone Project

The second part of the course is where you'll apply your Pydantic knowledge to a real-world project. You'll develop and deploy a python web API using FastAPI that allows users to create and vote on polls. This project will incorporate Redis as our durable key-value data store, and it will be deployed as a serverless function.

The Capstone Project is a hands-on experience designed to:

• Practice how Pydantic is used in real-world applications.
• Understand modern API development with python.
• Learn what Redis is and how it can serve as a durable data store.
• Gain experience with virtual environments and dependency management in Python.
• Get comfortable using git and GitHub.
• Explore the basics of serverless computing, deploying your API as a serverless function.

🎉 Special Feature: Python Crash Course! 🎉

If you're new to python or need a refresher, this course includes an extra appendix dedicated to a full-featured python crash course. You'll get up to speed with the essentials of Python and be ready to tackle the capstone project with confidence.

Whether you're a seasoned developer or just starting out, this course will equip you with the skills to work efficiently and effectively with Pydantic in your Python projects. Join me, Andy Bek, on this exciting learning journey, and let's build something amazing together! 🚀✨

Key Takeaways:

• Comprehensive coverage of Pydantic from the basics to advanced usage.
• Hands-on experience with a real-world project: a polling API.
• Use of Redis as a data store, and FastAPI for creating high-performance APIs.
• Deployment as a serverless function to understand cloud services and scaling.
• A Python crash course to get up to speed or refresh your knowledge.

🔍 Dive into the world of Pydantic, where your code will be as efficient and accurate as it is expressive! 🚀