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docs/user-guide/interaction/README.md
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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 -->