Python CRUD App Tutorial with PostgreSQL, SQLAlchemy, Docker & Pydantic
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Build a real Python CRUD application from scratch using SQLAlchemy 2.0, PostgreSQL, Docker, Pydantic, and Python.
In this full Python database tutorial, you will learn how to connect a Python app to a real Postgres database, create SQLAlchemy ORM models, validate data with Pydantic, run PostgreSQL inside Docker, and perform complete CRUD operations including create, read, update, and delete.
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🎬 Timestamps:
00:00 - Python PostgreSQL CRUD App Tutorial
00:15 - What We Are Building
01:14 - Python Project Setup
04:00 - Set Up our App Structure
05:00 - Setting up an Async Database with SQL Alchemy
07:30 - Setting Up PostgreSQL with Docker
12:47 - Creating SQL Alchemy Model for Postgres
18:00 - Difference between Models and Schemas
18:47 - Creating Pydantic Models
21:35 - Configuring Python to PostgreSQL
26:33 - Adding .ENV Data
27:53 - Creating Records in PostgreSQL
29:45 - Reading Data with SQLAlchemy
31:30 - Updating Database Records
33:00 - Deleting Records from PostgreSQL
34:50 - Writing a Docker Compose File for Postgres
35:25 - Testing the Python CRUD App with Postgres and Sql Alchemy
37:28 - Final Review and Next Steps
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