FastAPI Installation
Welcome to the first step in your FastAPI journey! This guide will walk you through installing FastAPI and setting up your development environment. FastAPI is a modern, fast web framework for building APIs with Python based on standard Python type hints.
Prerequisites
Before installing FastAPI, make sure you have:
- Python 3.7+ (FastAPI requires Python 3.7 or above)
- Basic knowledge of Python programming
- A terminal or command prompt
Installation Methods
Method 1: Using pip (Recommended)
The simplest way to install FastAPI is using pip, Python's package installer:
pip install fastapi uvicorn
We're installing two packages:
- FastAPI: The framework itself
- Uvicorn: An ASGI server required to run FastAPI applications
Verifying Installation
To verify the installation was successful, you can check the installed versions:
pip show fastapi
pip show uvicorn
Method 2: Using a Virtual Environment (Best Practice)
For a cleaner development environment, it's recommended to use virtual environments:
1. Create a virtual environment
# On Windows
python -m venv fastapi-env
# On macOS/Linux
python3 -m venv fastapi-env
2. Activate the virtual environment
# On Windows
fastapi-env\Scripts\activate
# On macOS/Linux
source fastapi-env/bin/activate
3. Install FastAPI and Uvicorn
pip install fastapi uvicorn
Optional Dependencies
FastAPI has several optional dependencies that provide additional features:
# For full features including data validation
pip install "fastapi[all]"
This will install:
- Uvicorn: ASGI server with reload capability
- Pydantic: For data validation
- Starlette: The core of FastAPI
- Email validator: For email validation
- PyJWT: For JWT tokens
- Python-multipart: For form data parsing
- Itsdangerous: For security features
- SQLAlchemy: For database support
- Ujson: For fast JSON parsing
Creating Your First FastAPI App
Let's create a simple "Hello World" application to test our installation:
- Create a file named
main.py
with the following content:
from fastapi import FastAPI
app = FastAPI()
@app.get("/")
def read_root():
return {"Hello": "World"}
- Run the server:
uvicorn main:app --reload
- Open your browser and navigate to
http://127.0.0.1:8000/
. You should see:
{
"Hello": "World"
}
The --reload
flag enables hot reloading, which means your application will automatically update when you make changes to the code.
Understanding the Installation Components
FastAPI Framework
The core framework that provides all the functionality for building APIs. It is built on top of Starlette for web parts and Pydantic for data validation.
Uvicorn
An ASGI server implementation that FastAPI applications run on. ASGI (Asynchronous Server Gateway Interface) allows asynchronous Python web applications to communicate with the server.
Troubleshooting Common Installation Issues
Issue 1: Python Version
If you encounter an error like:
ERROR: fastapi requires Python >=3.7
Solution: Update your Python version to 3.7 or higher.
Issue 2: Permission Errors
ERROR: Could not install packages due to an EnvironmentError: [Errno 13] Permission denied
Solution: Use the --user
flag or run the command with administrator/sudo privileges:
pip install --user fastapi uvicorn
Issue 3: Dependency Conflicts
If you have conflicting packages:
pip install --upgrade pip
pip install "fastapi[all]" --upgrade
Real-world Application: Project Structure Setup
For a real project, you might want to set up a more organized structure:
my-fastapi-project/
├── app/
│ ├── __init__.py
│ ├── main.py
│ ├── models/
│ │ └── __init__.py
│ ├── routes/
│ │ └── __init__.py
│ └── services/
│ └── __init__.py
├── requirements.txt
└── README.md
Create a requirements.txt
file:
fastapi>=0.100.0
uvicorn>=0.22.0
pydantic>=2.0.0
Then install dependencies:
pip install -r requirements.txt
Summary
You've successfully installed FastAPI and learned how to:
- Install FastAPI using pip
- Set up a virtual environment for your project
- Create a simple "Hello World" application
- Structure a real-world FastAPI project
FastAPI is now ready to use on your system! With this setup, you're prepared to build high-performance, easy-to-develop APIs using Python's type hints.
Additional Resources
Exercises
- Create a FastAPI application with two different routes, returning different data types.
- Set up a FastAPI project using a virtual environment and create a custom
requirements.txt
file. - Implement a FastAPI application that receives a query parameter and returns it as part of the response.
If you spot any mistakes on this website, please let me know at [email protected]. I’d greatly appreciate your feedback! :)