FastAPI: A Course on API Integration with Modern Python

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FastAPI is a modern web framework for building APIs with Python. It is designed to be fast, easy to use, and scalable. In this tutorial, we will cover how to integrate APIs using FastAPI.

First, we need to install FastAPI and its dependencies. We can do this using pip, the Python package installer. Open a terminal window and run the following command:

pip install fastapi uvicorn

Next, we need to create a new Python file for our FastAPI application. Let’s call it main.py. In this file, we will define our API routes and business logic.

from fastapi import FastAPI

app = FastAPI()

@app.get("/")
def read_root():
    return {"message": "Hello, World!"}

@app.get("/items/{item_id}")
def read_item(item_id: int, q: str = None):
    return {"item_id": item_id, "q": q}

In the code above, we import the FastAPI module and create a new FastAPI instance. We then define two API routes using decorators: one for the root URL ("/") and one for a specific item ID ("/items/{item_id}"). The read_root function returns a JSON response with a simple message, while the read_item function takes an item ID as a parameter and an optional query parameter q.

To run our FastAPI application, we need to start a web server. We can use Uvicorn, a fast ASGI server implementation. In the terminal window, run the following command:

uvicorn main:app --reload

This will start the Uvicorn server and run our FastAPI application. You should see output indicating that the server is running on http://localhost:8000. You can now open a web browser and navigate to this URL to access your API.

To test our API routes, you can use a tool like Postman or curl. For example, to test the root route, you can run the following command in the terminal:

curl http://localhost:8000/

This should return a JSON response with the message "Hello, World!". You can also test the item route by specifying an item ID and an optional query parameter:

curl http://localhost:8000/items/1?q=test

This should return a JSON response with the item ID and the query parameter.

In this tutorial, we have covered the basics of API integration using FastAPI. You can now extend your application by adding more routes, handling POST requests, implementing authentication, and integrating with databases or external APIs. FastAPI provides a rich set of features and tools to help you build powerful and scalable APIs with Python.

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@1stcode
1 month ago

Thank you Beau, it was a pleasure to share this course and be a part of this amazing community. I hope you all enjoy the course, and if you have any ideas/requests -> feel free to comment here or on my channel, as we will potentially create another similar course for freeCodeCamp in the future.

Good luck everyone 🙂
Zak

@SubZeroLondon
1 month ago

Dude, this is way too quick, I literally stop every 5 seconds of the video, especially when you use shortcuts when navigating the terminal. + The code in repo is different from what I see on this video, hard to follow so far. Ended up doing everything myself with chatGPT, and eventually, was not able to translate anything because I'm on a free tier and have no credit. Now sure how to avoid it to try out at least!

@СветланаОтурбекова
1 month ago

Everything is clear, thank you

@oscarman8070
1 month ago

👎

@gregv6367
1 month ago

Anyone has edible suggestions?

@justalex8342
1 month ago

Fantastic video! And the timing is great since I needed a fastapi app asap! Btw @zedcodes what is the extension you use that displays the errors on the end of each line?

@geraldjunior4235
1 month ago

🤔

@NovaPlant_world
1 month ago

I`m learning fast api but i forget all the syntax .. what should i do

@pritamsarkar3371
1 month ago

your html code in github of the first priject not matching with what you are doing here

@jacekjastrzebski1714
1 month ago

Why current code in github for translation app and what is shown in the video are not the same?

@Shaft0
1 month ago

Is youtube bugging out, or is the Tesseract tutorial repeated ?

@Shaft0
1 month ago

Really cool, though tesseract fails very quickly with small obstacles like slight paper crumpling.

@Drmellon
1 month ago

how do resolve this

@Drmellon
1 month ago

ERROR: Could not find a version that satisfies the requirement unicorn==0.18.2 (from versions: 1.0.0rc2, 1.0.0rc3, 1.0.0, 1.0.1, 1.0.2rc1, 1.0.2rc2, 1.0.2rc3, 1.0.2rc4, 1.0.2rc5, 1.0.2rc6, 1.0.2, 1.0.3, 2.0.0rc1, 2.0.0rc2, 2.0.0rc3, 2.0.0rc4, 2.0.0rc5, 2.0.0rc5.post1, 2.0.0rc6, 2.0.0rc7, 2.0.0, 2.0.1, 2.0.1.post1)

ERROR: No matching distribution found for unicorn==0.18.2

@morrazzo4432
1 month ago

Is this course for absolute beginners?

@prosperzegue6735
1 month ago

Good job 👍🏽.
Please, make complete scalable project with FastAPI (well structured project with JWT authentification and separeted services) for backend and React/Next.js for frontend using PostgreSQL

@forheuristiclifeksh7836
1 month ago

5:17

@ahmadbilalfarooqi
1 month ago

your repo and and your video real time code is different kindly update

@justpassingbylearning
1 month ago

any one else getting an issue with asyncpg failing to build the wheelf for the first project
? I'm on a mac in a clean conda environment with python3.11

@amadzarak7746
1 month ago

i am absolutely SHOCKED this video came out just as i started a new project. This was my exact search term. Thank you freecodecamp as always