Python Database Mastery: Dive into SQLAlchemy & Alembic

Master SQLAlchemy & Alembic: Easily Create/Manage Databases, Implement ORM, Use Migration Tool, Boost Query Performance

Created by: Kostiantyn Kriuchkov
Project Manager and Python Developer

What Will I Learn?

• Understand the fundamentals of SQLAlchemy and Object Relational Mapping (ORM) in Python
• Create, define, and manage database tables using SQLAlchemy's ORM
• Utilize Alembic, a database migration tool for SQLAlchemy, to create, manage, and track changes in their database schema
• Apply best practices for using SQLAlchemy and Alembic in real-world projects

Requirements

• Basic Python programming knowledge: Understanding of Python data types, functions, classes, and syntax is essential for following the tutorial.
• Familiarity with SQL: Learners should have a basic understanding of SQL concepts like tables, primary keys, foreign keys, and CRUD operations (Create, Read, Update, and Delete).
• Object-Oriented Programming (OOP) understanding: Since the tutorial uses Object Relational Mapping (ORM) for creating tables, having some experience with OOP and Python classes would be beneficial.
• Python environment: Learners should have a Python development environment set up on their machine (Python 3.x and pip) or have access to a Jupyter Notebook environment where they can install packages and run code snippets as demonstrated in the tutorial
• Database access: Access to a PostgreSQL database server for hands-on practice is crucial. Familiarity with creating databases and user accounts would be useful but not required, as it can be learned along the way.

Target audience

• SQL users wanting Python ORM skills
• Developers seeking Pythonic DB management
• Data engineers improving DB knowledge
• SQLAlchemy newbies with SQL background
• App developers needing DB integration
• Python programmers with SQL experience
• Transitioning SQL users to SQLAlchemy