You can access data from a two-dimensional array in Python using indices. Each element in the array is identified by its row and column position.

Accessing Elements

To access a specific element, you use square brackets [] with the row index followed by the column index, separated by a comma.

• Example:

  
  my_array = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]

Access the element at row 1, column 0 (value 4)

element = my_array[1][0]
print(element) # Output: 4

## Slicing Arrays

You can also access a portion of the array using slicing. This allows you to extract rows, columns, or sub-arrays.

* **Example:**
```python
# Extract the first two rows
first_two_rows = my_array[:2]
print(first_two_rows)  # Output: [[1, 2, 3], [4, 5, 6]]

# Extract the second column
second_column = [row[1] for row in my_array]
print(second_column)  # Output: [2, 5, 8] 

Iterating Over Arrays

You can iterate through the rows and columns of a two-dimensional array using nested loops.

• Example:

  for row in my_array:
    for element in row:
        print(element, end=" ")
    print() 

This will print each element in the array, moving from left to right across each row.

Practical Insights

• Zero-based indexing: Remember that Python uses zero-based indexing, meaning the first element in a row or column has an index of 0.
• Out-of-bounds errors: Be careful not to access elements outside the array's bounds, as this will result in an IndexError.