Pydantic V2: Essentials

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Goals and Prerequisites

Lecture 2: Course Curriculum Overview

Lecture 3: Using the Companion GitHub Repository

Chapter 2: Basics

Lecture 1: Introduction

Lecture 2: Creating a Pydantic Model

Lecture 3: Deserialization

Lecture 4: Serialization

Lecture 5: Type Coercion

Lecture 6: Required vs Optional Fields

Lecture 7: Nullable Fields

Lecture 8: Combining Nullable and Optional

Lecture 9: Inspecting Fields

Lecture 10: JSON Schema Generation

Lecture 11: Project

Lecture 12: Project Solution

Chapter 3: Model Configuration

Lecture 1: Introduction

Lecture 2: Handling Extra Fields

Lecture 3: Strict vs Lax Type Coercion

Lecture 4: Validating Default Values

Lecture 5: Validating Assignments

Lecture 6: Mutability

Lecture 7: Coercing Numbers to Strings

Lecture 8: Standardizing Strings

Lecture 9: Handling Python Enums

Lecture 10: Project

Lecture 11: Project Solution

Chapter 4: Field Aliasing, Serialization and Deserialization

Lecture 1: Introduction

Lecture 2: Field Aliases and Default Values

Lecture 3: Alias Generator Functions

Lecture 4: Deserializing by Field Name or Alias

Lecture 5: Serialization Aliases

Lecture 6: Validation Aliases

Lecture 7: Custom Serializers

Lecture 8: Project

Lecture 9: Project Solution

Chapter 5: Specialized Pydantic Types

Lecture 1: Introduction

Lecture 2: PositiveInt

Lecture 3: Constrained Lists

Lecture 4: UUID

Lecture 5: Date Related Types

Lecture 6: Network Types

Lecture 7: Project

Lecture 8: Project Solution

Chapter 6: Additional Field Features

Lecture 1: Introduction

Lecture 2: Numerical Constraints

Lecture 3: String Constraints

Lecture 4: Default Factories

Lecture 5: Additional Field Configurations

Lecture 6: Project

Lecture 7: Project Solution

Chapter 7: Annotated Types

Lecture 1: Introduction

Lecture 2: Pydantic and Annotated Types

Lecture 3: Annotated Types and Type Variables

Lecture 4: String Constraints

Lecture 5: Project

Lecture 6: Project Solution

Chapter 8: Custom Validators

Lecture 1: Introduction

Lecture 2: After Validators

Lecture 3: Before Validators

Lecture 4: Combining Before and After Validators

Lecture 5: Custom Validators using Annotated Types

Lecture 6: Dependent Field Validations

Lecture 7: Project

Lecture 8: Project Solution

Chapter 9: Properties and Computed Fields

Lecture 1: Introduction

Lecture 2: Properties

Lecture 3: Computed Fields

Lecture 4: Project

Lecture 5: Project Solution

Chapter 10: Custom Serializers using Annotated Types

Lecture 1: Introduction

Lecture 2: Custom Serializers with Annotated Types

Lecture 3: Project

Lecture 4: Project Solution

Chapter 11: Complex Models

Lecture 1: Introduction

Lecture 2: Model Composition

Lecture 3: Model Inheritance

Lecture 4: Project

Lecture 5: Project Solution

Lecture 6: Final Project Solution Recap

Chapter 12: Pydantic Applications

Lecture 1: Introduction

Lecture 2: Consuming a REST API

Lecture 3: Ingesting a CSV File

Lecture 4: Validating Function Arguments

Lecture 5: Model Code Generators

Chapter 13: Conclusion

Lecture 1: Conclusion