Two common implementations of matrices or multidimensional arrays-python

In Python, there are two common methods of implementing multidimensional arrays or matrices:

Built-in list method and numpy Scientific calculation package method.

The following is an example of creating a 10*10 matrix or multidimensional array, and initializing it to 0, the program is as follows:

#Method 1:listARR1 = [[0]*10 forIinchRange (10)]arr1[0][0]= 1Print "Method 1:\n", ARR1ARR2= [[0 forIinchRange (10)] forIinchRange (10)]arr2[0][0]= 1Printarr2#Wrong simplified versionA = [[0]*10]*10A[0][0]= 23Print "Error method:\n", a#Method 2:numpy PackageImportNumPy as Nparr3= Np.array ([[0]*10]*10) arr3[0][0]= 2Print "Method 2:\n", ARR3

Two common implementations of matrices or multidimensional arrays-python