Python uses NumPy to perform array and matrix operations, including addition, subtraction, multiplication, division, dot multiplication, matrix addition, matrix multiplication, etc

Before using NumPy for array and matrix operations, it is necessary to first build a Python development environment and install the NumPy library. The following are the steps for preparation: 1. Install Python: Visit the official Python website（ https://www.python.org/downloads/ ）Download and install the Python version suitable for your operating system. 2. Install NumPy: You can use the pip command to install NumPy on the command line. Open the command line and enter the following command: pip install numpy 3. Import NumPy Library: In a Python script that requires the use of NumPy, use the following statement to import the NumPy library: python import numpy as np Then, NumPy can be used for array and matrix operations. The following are some common operations and their corresponding NumPy functions: -Addition: Use the '+' operator or the 'np. add()' function. -Subtraction: Use the '-' operator or the 'np. subtract()' function. -Multiplication: Use the '*' operator or the 'np. multiply()' function. -Division: Use the '/' operator or the 'np. divide()' function. -Dot multiplication (multiplication of corresponding positional elements): Use the '*' operator or the 'np. multiply()' function. -Matrix addition: use the '+' operator or the 'np. add()' function. -Matrix multiplication: use the '@' operator or the 'np. matmul()' function. Next, we will demonstrate a complete example where we will use NumPy for array and matrix operations: python import numpy as np #Create sample arrays and matrices array1 = np.array([1, 2, 3]) array2 = np.array([4, 5, 6]) matrix1 = np.array([[1, 2, 3], [4, 5, 6]]) matrix2 = np.array([[7, 8], [9, 10], [11, 12]]) #Array operation array_sum = array1 + array2 array_difference = array1 - array2 array_product = array1 * array2 array_quotient = array1 / array2 array_dot_product = np.dot(array1, array2) print("Array Sum:", array_sum) print("Array Difference:", array_difference) print("Array Product:", array_product) print("Array Quotient:", array_quotient) print("Array Dot Product:", array_dot_product) #Matrix operation matrix_sum = matrix1 + matrix2 matrix_product = np.matmul(matrix1, matrix2) print("Matrix Sum:") print(matrix_sum) print("Matrix Product:") print(matrix_product) This code demonstrates how to use NumPy for array and matrix operations. Firstly, we created two one-dimensional arrays (array1 and array2) and a two-dimensional matrix (matrix1), and then performed addition, subtraction, multiplication, and division operations on them. Next, we calculated the point multiplication results of two one-dimensional arrays and printed out all the results. Finally, we performed addition and multiplication operations on two two-dimensional matrices and printed out the results. You can ensure that the Python environment has been built and the NumPy library has been installed according to the above steps before running this code. The running results of this code will display the results of various operations.