So far in our SQLAlchemy journey, we've covered managing database connections and model creation. So... how do we actually extract the data we want from our database?

SQLAlchemy's ORM query API simplifies the way we write database queries. Instead of writing raw SQL queries, we can construct queries on our SQLAlchemy session by chaining together methods to retrieve data. We're going to dive into SQLAlchemy's extensive query API to get an idea of all the ways we can query our data.

This tutorial will assume you know how to create an SQLAlchemy session. We'll also assume you have some data

There are plenty of good reasons to use SQLAlchemy, from managing database connections to easy integrations with libraries such as Pandas. If you're in the app-building business, I'd be willing to bet that managing your app's data via an ORM is at the top of your list of use cases for SQLAlchemy.

Most software engineers likely find database model management to be easier than SQL queries. For people with heavy data backgrounds (like us), the added abstractions can be a bit off-putting: why do we need foreign keys to execute JOINs between two tables? Why do we need to distinguish