Live Coding Demonstrations

This section outlines how live coding demonstrations are implemented.

Core Components

Live coding demonstrations consist of three main components:

1. Code Input: Users provide code using the web interface.
2. Code Execution: Received code is executed in real-time.
3. Code Output: Output is displayed dynamically.

Input Handling

Users interact with the live coding environment through a web interface. Input is received via the InputManager class (found in src/input_manager.py) which handles user interactions such as typing, pasting, and manipulating code.

from src.input_manager import InputManager
          
          # Create an instance of the InputManager
          input_manager = InputManager()
          
          # Retrieve user input
          user_input = input_manager.get_input()
          
          # Process user input
          # ...
          

Code Execution

The received code is executed using a Python interpreter (or other relevant interpreter if supported). The ExecutionEngine class (found in src/execution_engine.py) manages code execution. It communicates with the interpreter, receives output, and provides feedback to the user.

from src.execution_engine import ExecutionEngine
          
          # Create an instance of the ExecutionEngine
          execution_engine = ExecutionEngine()
          
          # Execute user code
          execution_engine.execute_code(user_input)
          
          # Retrieve execution results
          results = execution_engine.get_results()
          
          # Handle execution results (e.g., display output)
          # ...
          

Output Display

The OutputManager class (found in src/output_manager.py) is responsible for displaying code output dynamically. It receives output from the ExecutionEngine and uses a web framework to update the user interface in real-time.

from src.output_manager import OutputManager
          
          # Create an instance of the OutputManager
          output_manager = OutputManager()
          
          # Display execution results
          output_manager.display_output(results)
          
          # Update the UI
          # ...
          

Supporting Libraries and Tools

The live coding demonstrations may utilize libraries such as Flask (for web application development), Jinja2 (for template rendering), requests (for making API requests), and matplotlib (for data visualization).