!!! check "Inspired **FastAPI** to"
    Find ways to get great performance.

    Along with Hug (as Hug is based on Falcon) inspired **FastAPI** to declare a `response` parameter in functions.

    Although in FastAPI it's optional, and is used mainly to set headers, cookies, and alternative status codes.

When you run **multiple processes** of the same API program, they are commonly called **workers**.

### Worker Processes and Ports

---

Here's how to help others with questions (in discussions or issues):

### Understand the question

* Check if you can understand what is the **purpose** and use case of the person asking.

* Then check if the question (the vast majority are questions) is **clear**.

That, plus the simple fact that Python is the main language for **Data Science**, Machine Learning and especially Deep Learning, make FastAPI a very good match for Data Science / Machine Learning web APIs and applications (among many others).

To see how to achieve this parallelism in production see the section about [Deployment](deployment/index.md){.internal-link target=_blank}.

## `async` and `await`

Common ORMs are for example: Django-ORM (part of the Django framework), SQLAlchemy ORM (part of SQLAlchemy, independent of framework) and Peewee (independent of framework), among others.

Here we will see how to work with **SQLAlchemy ORM**.

In a similar way you could use any other ORM.

!!! tip
    There's an equivalent article using Peewee here in the docs.

## File structure

As this component would take the **load** of requests and distribute that among the workers in a (hopefully) **balanced** way, it is also commonly called a **Load Balancer**.

!!! tip
    The same **TLS Termination Proxy** component used for HTTPS would probably also be a **Load Balancer**.