NumPy is a powerful library for scientific computing in Python. It provides a high-performance multidimensional array object, and tools for working with these arrays.
To get started using NumPy, import the library into your script:
import numpy as np
Once imported, you can create NumPy arrays using the array() function. For example:
my_array = np.array([1,2,3,4])
You can also use NumPy to perform mathematical operations on arrays. For example, you can add two arrays together:
a = np.array([1,2,3])
b = np.array([4,5,6])
c = a + b
# Output: [5, 7, 9]
NumPy also provides a wide range of functions for working with arrays, such as sorting, reshaping, and finding statistics. For more information, check out the NumPy documentation.