⚡ Optimize sine wave generation with NumPy vectorization

[ManupaKDU]

💡 What: Replaced the explicit for loop that built sine_wave iteratively with a vectorized operation using np.arange and np.sin.
🎯 Why: To improve performance by avoiding the overhead of Python loops and function calls per array element, a standard optimization pattern for NumPy-based scripts.
📊 Measured Improvement: The loop iteration approach took ~2.9 seconds for 100 iterations of generating a 48,000-sample wave. Using the vectorized numpy operations takes ~0.1 seconds for 100 iterations. This represents an ~29x speedup over the baseline.

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PR created automatically by Jules for task 3639300582941623251 started by @ManupaKDU

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