Python Coding Challange - Question With Answer(01240225)

 

Step-by-Step Execution:

1. import numpy as np
   • This imports the NumPy library, which provides efficient array operations.
2. numbers = np.array([1, 2, 3])
   • This creates a NumPy array:

     
     numbers = [1, 2, 3] (as a NumPy array)

3. new_numbers = numbers + 1
   • NumPy allows element-wise operations, so adding 1 increases each element by 1:

     
     [1+1, 2+1, 3+1]  → [2, 3, 4]

4. print(new_numbers.tolist())
   • new_numbers.tolist() converts the NumPy array back into a Python list:

     
     [2, 3, 4]

   • Finally, it prints the result.

Final Output:

[2, 3, 4]

Why use NumPy?

• Faster operations than standard Python lists.
• Supports vectorized computations without loops.
• Memory efficient for large datasets.