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How to Implement Python WebSocket?

Learn how to implement Python WebSocket for real-time communication. This guide covers setup, server creation, and advanced techniques.

Introduction to Python WebSocket

WebSockets are essential for real-time communication in modern web applications, enabling instant data transfer between the server and client. Unlike traditional HTTP requests, which follow a request-response model, WebSockets maintain an open connection, allowing data to be sent and received continuously without the need for repeated requests. This makes WebSockets ideal for applications like chat apps, live notifications, and real-time data feeds.
Python, a versatile and powerful programming language, provides robust support for WebSocket implementation through libraries like websockets and asyncio. These tools enable developers to create interactive, real-time applications with ease. In this article, we will explore how to set up and use Python WebSockets effectively, providing practical examples and step-by-step guidance to help you get started.

Setting Up Python WebSocket Environment

To begin working with Python WebSockets, you need to set up your development environment. The primary libraries you will use are websockets for handling WebSocket connections and asyncio for asynchronous programming.

Step-by-Step Installation Guide

  1. Ensure you have Python installed on your system. You can download it from


  2. Install the necessary packages using pip:


1pip install websockets asyncio
Once installed, you are ready to start building your WebSocket server.

Implementing a Basic Python WebSocket Server

Step 1: Setting Up the Server

First, create a simple WebSocket server. This server will handle client connections and echo messages back to the client.


1import asyncio
2import websockets
4async def echo(websocket, path):
5    async for message in websocket:
6        await websocket.send(message)
8start_server = websockets.serve(echo, "localhost", 8765)
This script sets up a WebSocket server on localhost at port 8765.

Step 2: Handling Client Connections

Managing multiple client connections is crucial. The server should handle each connection asynchronously.


1async def handler(websocket, path):
2    name = await websocket.recv()
3    greeting = f"Hello {name}!"
4    await websocket.send(greeting)
6start_server = websockets.serve(handler, "localhost", 8765)
This script receives a message from the client and sends a greeting back.

Step 3: Sending and Receiving Messages

To handle bidirectional communication, modify the server to send and receive messages.


1async def handler(websocket, path):
2    while True:
3        message = await websocket.recv()
4        print(f"Received message: {message}")
5        await websocket.send(f"Echo: {message}")
7start_server = websockets.serve(handler, "localhost", 8765)
Here, the server continuously receives and echoes messages from the client.

Step 4: Error Handling and Closing Connections

Implementing error handling ensures your server can gracefully manage exceptions and close connections.


1async def handler(websocket, path):
2    try:
3        async for message in websocket:
4            await websocket.send(f"Echo: {message}")
5    except websockets.ConnectionClosed as e:
6        print(f"Connection closed: {e}")
7    finally:
8        await websocket.close()
10start_server = websockets.serve(handler, "localhost", 8765)
This script handles connection closures and errors.

Step 5: Integrating with Web Frameworks

Integrate WebSockets with web frameworks like Flask or Django to add real-time capabilities to web applications.

Flask Example


1from flask import Flask
2from flask_socketio import SocketIO, send
4app = Flask(__name__)
5socketio = SocketIO(app)
8def handleMessage(msg):
9    send(msg, broadcast=True)
11if __name__ == '__main__':
12    socketio.run(app)
This Flask application uses flask_socketio to handle WebSocket messages.

Step 6: Testing Your WebSocket Server

Testing your WebSocket server ensures it functions correctly. Use tools like websocat or custom client scripts.

WebSocket Client Example


1import asyncio
2import websockets
4async def hello():
5    uri = "ws://localhost:8765"
6    async with websockets.connect(uri) as websocket:
7        await websocket.send("Hello, server!")
8        response = await websocket.recv()
9        print(f"Received: {response}")
This client script connects to the server, sends a message, and prints the response.

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Advanced Python WebSocket Techniques

Securing WebSocket connections is crucial for sensitive data transmissions. Enable SSL/TLS in your WebSocket server to ensure secure communication.


1import ssl
3ssl_context = ssl.SSLContext(ssl.PROTOCOL_TLS_SERVER)
4ssl_context.load_cert_chain(certfile="path/to/cert.pem", keyfile="path/to/key.pem")
6start_server = websockets.serve(echo, "localhost", 8765, ssl=ssl_context)
Handling binary data allows you to work with non-text data such as images or files.


1async def handler(websocket, path):
2    while True:
3        message = await websocket.recv()
4        if isinstance(message, bytes):
5            print("Binary data received")
6        else:
7            print("Text data received")
8        await websocket.send(message)
Implement WebSocket clients in Python to create comprehensive real-time applications.


1async def hello():
2    uri = "wss://localhost:8765"
3    async with websockets.connect(uri) as websocket:
4        await websocket.send("Hello, secure server!")
5        response = await websocket.recv()
6        print(f"Received: {response}")
By following these steps and implementing advanced techniques, you can build robust and secure WebSocket applications using Python.


Implementing WebSockets in Python opens up numerous possibilities for real-time communication in your applications. From setting up a basic server to handling advanced features like security and binary data, you now have a comprehensive understanding to start building your own WebSocket-based solutions.
By integrating WebSockets with frameworks like Flask or Django, you can enhance your web applications with dynamic, real-time capabilities. Continue experimenting and expanding your knowledge to fully leverage the power of WebSockets in your projects, ensuring a more interactive and responsive user experience.

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