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 : • flask projects
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/...
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/g...
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
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