NumPy for Absolute Beginners: A Project-Based Approach to Data Analysis

This tutorial demonstrates the performance benefits of NumPy for data analysis through a project-based example. It compares a standard Python loop to a vectorized NumPy operation for calculating the mean of a million sensor readings, highlighting a massive speed increase. The guide then walks through calculating foundational statistics like mean, median, and standard deviation on simulated temperature and pressure data. The entire process is framed as a proof-of-concept for a fictional client needing to optimize their data pipeline.