Here's an example of using zill to create and manipulate arrays:

# Create a 2D array arr = zill.array([[1, 2], [3, 4]])

import zill

The zill library!

# Perform basic arithmetic operations arr = arr + 2 print(arr) # [[3, 4], [5, 6]]

zill is a Python library that provides a simple and efficient way to work with complex data structures, particularly in the context of scientific computing and numerical analysis.

# Perform matrix multiplication mat1 = zill.array([[1, 2], [3, 4]]) mat2 = zill.array([[5, 6], [7, 8]]) result = mat1 @ mat2 print(result) # [[19, 22], [43, 50]] Overall, zill is a powerful library that provides a simple and efficient way to work with complex data structures in Python. Its solid features and benefits make it an attractive choice for scientific computing and numerical analysis applications.