A step-by-step tutorial demonstrating how to build a Python script that analyzes employee productivity data across multiple companies. The guide covers reading data from text files, processing it with NumPy arrays, calculating productivity metrics (best/worst performers, averages), implementing an object-oriented wrapper class for salary calculations, and visualizing results with Matplotlib line plots. Each code section is explained in detail, making it suitable for learners wanting to combine file handling, numerical operations, and basic data analysis.
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