Python, Flask & PostgreSQL - 2026

Python Flask & PostgreSQL In 2026, using PostgreSQL 17 running in Docker. This guide explains how to construct a **web application** using **Python, Flask, and PostgreSQL** while following modern development standards. The tutorial emphasizes using **Docker** for database management and the **uv package manager** for efficient dependency handling. Key technical recommendations include implementing **connection pooling** to handle multiple users and using **parameterized queries** to prevent SQL injection attacks. It also highlights essential **database best practices**, such as using identity columns instead of deprecated serial types and avoiding floating-point numbers for financial data. Finally, the source demonstrates how to use **Jinja2 templates** to create a dynamic front end that performs full **CRUD operations** without requiring JavaScript. Flask Playlist :https://www.youtube.com/playlist?list=PLKMY3XNPiQ7uTf4_E00BjPhcafEiGZP4M PROJECT STRUCTURE ------------------------------------ Full CRUD Operations - Create, Read, Update, and Delete products in a PostgreSQL database.. - Connection Pooling - Efficient database management using psycopg2.pool. - Dynamic Templates, see https://jinja.palletsprojects.com/en/stable/templates/ - Server-side rendering with Jinja2 for UI Secure by Design - Keys match psycopg2 connection arguments perfectly allowing for easy unpacking Safe Startup IF NOT EXISTS ensures the script won' t crash if the table is already there. Safe to run on every deploy. Note : You will need to create database "flask_db" on 1st run. In psql, ```CREATE DATABASE flask_db;``` https://docs.docker.com/get-started/get-docker/ docker run d \ name postgres db \ e POSTGRES_USER=myuser \ e POSTGRES_PASSWORD=mypassword \ e POSTGRES_DB=flask_db \ p 5432 5432 \ postgres:17 code: https://github.com/RGGH/flask_postgres #python #Flask #PostgreSQL