Bird
0
0

Which of the following is true about NumPy arrays compared to Python lists when working with large numeric data?

easy📝 Conceptual Q11 of 15
NumPy - Fundamentals
Which of the following is true about NumPy arrays compared to Python lists when working with large numeric data?
APython lists use less memory than NumPy arrays for numbers.
BPython lists are faster for numeric calculations than NumPy arrays.
CNumPy arrays and Python lists have the same speed for math operations.
DNumPy arrays perform mathematical operations faster than Python lists.
Step-by-Step Solution
Solution:
  1. Step 1: Understand data structure differences

    NumPy arrays store data in a continuous block of memory optimized for numeric operations, unlike Python lists which store references to objects.
  2. Step 2: Compare performance for math operations

    This memory layout allows NumPy to perform vectorized operations much faster than Python lists, which require looping in Python code.
  3. Final Answer:

    NumPy arrays perform mathematical operations faster than Python lists. -> Option D
  4. Quick Check:

    NumPy arrays faster for math = D [OK]
Quick Trick: NumPy arrays are optimized for math speed, unlike lists. [OK]
Common Mistakes:
  • Thinking Python lists are faster for math
  • Assuming both have same speed
  • Confusing memory usage with speed

Want More Practice?

15+ quiz questions · All difficulty levels · Free

Free Signup - Practice All Questions
More NumPy Quizzes