NumPy offers a suite of functions for executing basic statistical operations on NumPy arrays, making it indispensable for data analysis. Key functions include:

• mean(): Computes the mean (average) of array elements;
• median(): Determines the median (middle value) of array elements;
• std(): Calculates the standard deviation, measuring the spread of the array elements;
• var(): Assesses the variance, indicating the variability of array elements;
• min(): Identifies the minimum value within an array;
• max(): Locates the maximum value within an array;
• argmin(): Finds the index of the minimum value in an array;
• argmax(): Discovers the index of the maximum value in an array.