Python Database Mastery: Dive into SQLAlchemy & Alembic

Python Database Mastery: Dive into SQLAlchemy & Alembic | Udemy
English | Size: 3.63 GB
Genre: eLearning

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

What you’ll 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

This comprehensive course is designed for users who have some knowledge of SQL, and it aims to teach you how to leverage the power of SQLAlchemy and Alembic to streamline your work with databases. By learning the techniques taught in this course, you will have a better understanding of Object Relational Mapping (ORM), how to create and manipulate database tables using Python, and how to manage and track changes using Alembic migrations.

Throughout the course, you will gain hands-on experience by working on various practical examples and exercises. The course will be easy to follow, with a focus on making complex tasks easier to understand and apply in your own projects.

Key topics include:

1. Introduction to SQLAlchemy and Alembic

– Overview of SQLAlchemy and its benefits

– Getting started with Alembic for database migrations

2. Creating tables with SQLAlchemy

– Declarative base and table class creation

– Working with different column types and constraints

– Using Mixin classes to reuse column and key definitions

3. Working with data using ORM

– Inserting, updating, and deleting rows

– Querying data and using filtering options

– Working with relationships and joins.

4. Handling schema changes and migrations with Alembic

– Setting up an Alembic environment and configuration

– Generating, reviewing, and customizing migration scripts

– Upgrading and downgrading database schemas

5. Advanced SQLAlchemy features

– Query optimizations

– Building complex queries

– Managing transactions and session handling

6. Best practices and real-world case examples

– Implementing reusable patterns

– Scaling and performance considerations

– Common SQLAlchemy pitfalls and solutions

Upon completion of this course, you will have a strong foundation in using SQLAlchemy and Alembic to manage your databases effectively. You will be equipped with the skills necessary to create and manipulate databases with ease, enabling you to bring value to your projects and organization.

Who this course is for:
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

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