How can I benchmark NumPy performance in Python?

How can I benchmark NumPy performance in Python?

You can use the time module or the timeit library to benchmark NumPy operations. Would you like an example?

Yes, please provide an example using the timeit library.

Sure! Here's a simple example:

import numpy as np
import timeit

# Define a function to benchmark

def benchmark():
    a = np.random.rand(1000, 1000)
    b = np.random.rand(1000, 1000)
    c = np.dot(a, b)

# Run the benchmark
execution_time = timeit.timeit(benchmark, number=10)
print(f'Execution time: {execution_time}')

What does the number parameter in timeit do?

The number parameter specifies how many times to execute the benchmark function. In this case, it runs the function 10 times.