Proper installation guide
Step 1: Checking System Requirements
Before installing Tornado, ensure that your system meets the following requirements:
- Python 3.5 or higher.
- An operating system that supports Python (Windows, MacOS, Linux, etc.).
Step 2: Setting up Python Environment
If you haven't already installed Python, you can download it from Python's official website. Make sure to verify the installation by typing python --version
in your terminal.
Step 3: Installing pip
pip is a Python package installer. It's included in Python versions 3.4 and above. If your Python environment doesn't already have pip, you can install it using the pip installation guide.
Step 4: Installing Tornado
Now we're ready to install Tornado! Open your terminal and type the following command:
pip install tornado
This command installs the latest version of Tornado.
Step 5: Verifying the Installation
To confirm that Tornado was installed correctly, we can create a simple "Hello, World!" application.
Create a new Python file, hello.py
, and write the following code:
import tornado.ioloop
import tornado.web
class MainHandler(tornado.web.RequestHandler):
def get(self):
self.write("Hello, World!")
def make_app():
return tornado.web.Application([
(r"/", MainHandler),
])
if __name__ == "__main__":
app = make_app()
app.listen(8888)
tornado.ioloop.IOLoop.current().start()
Save the file then run it using the command python hello.py
. If Tornado is properly installed, you should be able to navigate to http://localhost:8888
in your web browser and see the message "Hello, World!".
Step 6: Understanding Tornado's Architecture
Now that we've verified the installation, let's briefly touch on Tornado's architecture. Tornado is a Python web framework and asynchronous networking library. It uses a non-blocking network I/O and can scale to tens of thousands of open connections, making it ideal for long polling, WebSockets, and other applications that require a long-lived connection to each user.
Remember, the key to mastering Tornado lies in consistent practice and exploration. Happy coding!