#pydantic Development Tutorials & Tips | Roast Dev

Pydantic in Action: Integrating with FastAPI and SQLAlchemy

In the previous post, we mastered custom validators, field aliases, and model configuration to tailor Pydantic’s behavior for complex data. Now, let’s put Pydantic to work in real-world applicatio...

05.05.2025 0 Read More

Advanced Pydantic: Generic Models, Custom Types, and Performance Tricks

In the previous post, we integrated Pydantic with FastAPI and SQLAlchemy, building robust APIs and database interactions. Now, in the final post of our series, we’ll explore advanced Pydantic techni...

05.05.2025 0 Read More

🧠 Why Python Dictionaries Can Secretly Ruin Your Codebase (and What To Do Instead)

🧠 Why Python Dictionaries Can Secretly Ruin Your Codebase (and What To Do Instead)TL;DR: Python dict is super convenient — until it silently turns your project into spaghetti code. Here's why, an...

21.03.2025 0 Read More

Practical Pydantic: Data Transformation, Aliases, and Validators

In our previous post, we explored how Pydantic handles nested models and structured data, enabling robust validation for complex APIs and configurations. But what if you need to enforce custom rules, ...

04.05.2025 0 Read More

Going Deeper with Pydantic: Nested Models and Data Structures

In the previous post, we explored the basics of Pydantic: creating models, enforcing type validation, and ensuring data integrity with minimal boilerplate. But real-world applications often involve mo...

03.05.2025 0 Read More

Getting Started with Pydantic: Type-Safe Data Models in Python

Pydantic is a powerful Python library that leverages type hints to provide robust data validation and serialization. It simplifies the process of defining, validating, and parsing data models, making ...