Tell about your experience using the NumPy library in your work.

In my work with the NumPy library, I used it for efficient processing and analysis of large arrays of numerical data. NumPy allows working with multi-dimensional arrays and matrices, providing high performance thanks to its implementation in C.

Examples of usage:

• Fast arithmetic operations on arrays without Python loops.
• Using linear algebra functions, for example, to solve systems of equations.
• Data transformation for subsequent visualization or machine learning.

Example code for creating an array and calculating the mean value:

import numpy as np

arr = np.array([1, 2, 3, 4, 5])
mean_val = np.mean(arr)
print(f"Mean value: {mean_val}")