3 posts tagged with "flask"

The best way to precisely measure the execution time of a function or endpoint in Flask is by using a decorator or middleware. This approach allows you to wrap your functions with timing logic without directly altering the original function's code, which keeps your application clean and maintainable.

Here's a simple example of how to integrate Supabase with a Flask application. This guide will cover how to set up the environment, connect to your Supabase project, and perform basic CRUD (Create, Read, Update, Delete) operations.

Pydantic is widely known for its powerful data validation and parsing capabilities using Python type hints. While it's most popular with FastAPI, it can be elegantly integrated with Flask to improve request validation, input parsing, and response formatting.

This article outlines best practices for combining Flask with Pydantic in a clean, maintainable way.