[Solved] Which is the best way to do this using np.empty()?import numpy as np arr = np.empty((1000, 1000)) # Next step: fill arr with valuesWhy is np.empty() preferred here over np.zeros()? | NumPy

NumPy - Creating Arrays

You want to create a large array quickly and fill it later. Which is the best way to do this using np.empty()?

import numpy as np
arr = np.empty((1000, 1000))
# Next step: fill arr with values

Why is np.empty() preferred here over np.zeros()?

ABecause <code>np.empty()</code> creates a copy of an existing array

BBecause <code>np.empty()</code> fills with zeros automatically

CBecause <code>np.empty()</code> is faster as it skips initialization

DBecause <code>np.empty()</code> initializes with random values

Step-by-Step Solution

Solution:

Step 1: Understand performance difference
np.empty() allocates memory without setting values, so it is faster than np.zeros() which sets all values to zero.
Step 2: Reason why this is useful
When you plan to fill the array later, skipping initialization saves time and resources.
Final Answer:
Because np.empty() is faster as it skips initialization -> Option C
Quick Check:
np.empty() = fast allocation without init [OK]

Quick Trick: Use np.empty() for speed when filling later [OK]

Common Mistakes:

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You want to create a large array quickly and fill it later. Which is the best way to do this using np.empty()?