EDA Python - 16-3_Numpy_slicing

The video tutorial covers indexing and slicing in Python arrays. It begins with basic indexing, explaining how to access specific rows and columns using indices. The tutorial then moves on to creating arrays and demonstrates slicing techniques, including how to replace elements. Finally, it explores advanced slicing with step sizes, showing how to select specific rows and columns in a 5x5 array. The tutorial emphasizes consistency in Python's indexing and slicing logic.

What does 'my_array[1, 2]' return when accessing a 2D array?

• The entire first row

• The element at row 1, column 2

• The entire second column

• The element at row 2, column 1

How do you replace the third element of an array with the value 88?

• my_array[88] = 3

• my_array[5] = 88

• my_array[2] = 88

• my_array[3] = 88

What does the slice 'array[3:8:2]' return?

• Elements from index 3 to 8 with a step of 2

• Elements from index 3 to 7 with a step of 2

• Elements from index 3 to 8 with a step of 1

• Elements from index 3 to 7 with a step of 1

How would you extract the first column from a 2D array?

• array[:, 1]

• array[0]

• array[0, :]

• array[:, 0]

Which slicing operation would you use to get every second element from the entire array?

• array[::2]

• array[2::]

• array[2:2]

• array[:2:]