Bird
0
0

Which numpy float type uses the least amount of memory?

easy📝 Conceptual Q11 of 15
NumPy - Array Data Types
Which numpy float type uses the least amount of memory?
A<code>float16</code>
B<code>float32</code>
C<code>float64</code>
D<code>float128</code>
Step-by-Step Solution
Solution:

  1. Step 1: Recall memory sizes of float types

    float16 uses 2 bytes, float32 uses 4 bytes, and float64 uses 8 bytes.

  2. Step 2: Identify the smallest memory usage

    Among these, float16 uses the least memory (2 bytes).

  3. Final Answer:

    float16 -> Option A

  4. Quick Check:

    Smallest memory float = float16 [OK]
Quick Trick: Smaller float number means less memory used [OK]
Common Mistakes:
  • Confusing float32 as smallest
  • Thinking float64 uses less memory
  • Assuming float128 is standard

Want More Practice?

15+ quiz questions · All difficulty levels · Free

Free Signup - Practice All Questions
More NumPy Quizzes
Aggregation Functions - Aggregation along specific axes - Quiz 14medium Array Data Types - Complex number type - Quiz 5medium Array Data Types - Integer types (int8, int16, int32, int64) - Quiz 10hard Array Data Types - Type casting with astype() - Quiz 3easy Array Operations - Scalar operations on arrays - Quiz 7medium Creating Arrays - np.eye() for identity matrices - Quiz 12easy Indexing and Slicing - Fancy indexing with integer arrays - Quiz 1easy Indexing and Slicing - Fancy indexing with integer arrays - Quiz 3easy Indexing and Slicing - Indexing returns views not copies - Quiz 8hard NumPy Fundamentals - Array attributes (shape, dtype, ndim, size) - Quiz 14medium