From 6ba5193e9ec71ad1df871eef44a4aba4781a04c8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Mose=20M=C3=BCller?= <mosemueller@gmail.com>
Date: Mon, 19 May 2025 14:38:08 +0200
Subject: [PATCH] docs: remove commented-out information

---
 docs/user-guide/interaction/README.md | 63 ---------------------------
 1 file changed, 63 deletions(-)

diff --git a/docs/user-guide/interaction/README.md b/docs/user-guide/interaction/README.md
index 8c6b19b..e363cde 100644
--- a/docs/user-guide/interaction/README.md
+++ b/docs/user-guide/interaction/README.md
@@ -16,66 +16,3 @@
    include-markdown "./Python Client.md"
    heading-offset=1
 %}
-
-<!-- ## 2. **Socket.IO for Real-Time Updates** -->
-<!-- For scenarios requiring real-time data updates, `pydase` includes a Socket.IO server. This feature is ideal for applications where live data tracking is crucial, such as monitoring systems or interactive dashboards. -->
-<!---->
-<!-- ### Key Features: -->
-<!-- - **Live Data Streams**: Receive real-time updates for data changes. -->
-<!-- - **Event-Driven Communication**: Utilize event-based messaging to push updates and handle client actions. -->
-<!---->
-<!-- ### Example Usage: -->
-<!-- Clients can connect to the Socket.IO server to receive updates: -->
-<!-- ```javascript -->
-<!-- var socket = io.connect('http://<hostname>:<port>'); -->
-<!-- socket.on('<event_name>', function(data) { -->
-<!--     console.log(data); -->
-<!-- }); -->
-<!-- ``` -->
-<!---->
-<!-- **Use Cases:** -->
-<!---->
-<!-- - Real-time monitoring and alerts -->
-<!-- - Live data visualization -->
-<!-- - Collaborative applications -->
-<!---->
-<!-- ## 3. **Auto-Generated Frontend** -->
-<!-- `pydase` automatically generates a web frontend based on the service definitions. This frontend is a convenient interface for interacting with the service, especially for users who prefer a graphical interface over command-line or code-based interactions. -->
-<!---->
-<!-- ### Key Features: -->
-<!-- - **User-Friendly Interface**: Intuitive and easy to use, with real-time interaction capabilities. -->
-<!-- - **Customizable**: Adjust the frontend's appearance and functionality to suit specific needs. -->
-<!---->
-<!-- ### Accessing the Frontend: -->
-<!-- Once the service is running, access the frontend via a web browser: -->
-<!-- ``` -->
-<!-- http://<hostname>:<port> -->
-<!-- ``` -->
-<!---->
-<!-- **Use Cases:** -->
-<!---->
-<!-- - End-user interfaces for data control and visualization -->
-<!-- - Rapid prototyping and testing -->
-<!-- - Demonstrations and training -->
-<!---->
-<!-- ## 4. **Python Client** -->
-<!-- `pydase` also provides a Python client for programmatic interactions. This client is particularly useful for developers who want to integrate `pydase` services into other Python applications or automate interactions. -->
-<!---->
-<!-- ### Key Features: -->
-<!-- - **Direct Interaction**: Call methods and access properties as if they were local. -->
-<!-- - **Tab Completion**: Supports tab completion in interactive environments like Jupyter notebooks. -->
-<!---->
-<!-- ### Example Usage: -->
-<!-- ```python -->
-<!-- import pydase -->
-<!---->
-<!-- client = pydase.Client(hostname="<ip_addr>", port=8001) -->
-<!-- service = client.proxy -->
-<!-- service.some_method() -->
-<!-- ``` -->
-<!---->
-<!-- **Use Cases:** -->
-<!---->
-<!-- - Integrating with other Python applications -->
-<!-- - Automation and scripting -->
-<!-- - Data analysis and manipulation -->