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Introduce Fleet maritime services bermudaltd
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Okay, let's get our hands dirty and create our first **PSEIIFastAPI** project! We'll walk through the initial setup, ensuring you have everything you need to get started. First off, you'll need Python installed on your system. Make sure you have Python 3.7 or higher, as **PSEIIFastAPI** leverages some of the newer features of Python. Once Python is ready, let's create a virtual environment. This is super important because it isolates your project's dependencies from other Python projects you might have. In your terminal, navigate to the directory where you want to create your project and run `python -m venv .venv`. This command creates a virtual environment named `.venv`. After creating the virtual environment, activate it. On Linux and macOS, you can do this with `source .venv/bin/activate`. On Windows, it’s `.venvinash`. Now that your virtual environment is active, you need to install **PSEIIFastAPI**. You can do this using pip, Python's package installer. In your terminal, run `pip install fastapi uvicorn`. This command installs **PSEIIFastAPI** and **Uvicorn**, which is an ASGI server we'll use to run our application. Now, create a new directory for your project and inside it, create a file named `main.py`. This is where we'll write the code for our API. In `main.py`, we'll start with a basic "Hello, World!" example. Import `FastAPI` from the `fastapi` package, create an instance of the `FastAPI` class, and define a simple endpoint. This will handle GET requests to the root path ("/") and return a JSON response. The `main.py` should look something like this:
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Conclusion Fleet maritime services bermudaltd
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