Add robotics-focused data structures examples to 04_data_structures.py

[Copilot]

This PR implements robotics-focused data structure examples for the Python coding examples template, making the content more relevant and engaging for RobotX Workshops students.

Changes Made

Created 04_data_structures.py with practical robotics examples:

Flight Path List Example

• Implemented a flight_path list containing coordinate tuples representing waypoints: [(0, 0), (5, 10), (10, 10)]
• Added a for loop that iterates through and prints each waypoint in a clear, formatted manner
• Demonstrates how lists can be used to store sequential mission data

Sensor Readings Dictionary Example

• Created a sensor_readings dictionary with realistic robotics sensor data:
  • "gyro": 0.05 (rad/s)
  • "accel": 9.81 (m/s²)
  • "temp": 25.3 (°C)
• Demonstrates dictionary key-value access by retrieving and printing the accelerometer ("accel") value
• Shows practical application of dictionaries for storing sensor telemetry

Example Output

Flight Path Waypoints:
  Waypoint: (0, 0)
  Waypoint: (5, 10)
  Waypoint: (10, 10)

Sensor Readings:
  Accelerometer: 9.81 m/s²

These examples help students understand how Python data structures can be applied to real-world robotics scenarios like mission planning and sensor data management.

Original prompt

Use Robotics Data Structures
This task instructs Copilot to populate the data structures file with examples a student might actually use, like a flight plan or sensor data.

In 04_data_structures.py, replace the generic examples with robotics data.

• Create a list named flight_path containing coordinate tuples, like [(0,0), (5,10), (10,10)]. Use a for loop to print each waypoint.
• Create a dictionary named sensor_readings with keys like "gyro", "accel", and "temp" and some sample values. Show how to access and print the "accel" value.

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