<｜begin▁of▁sentence｜>### Instruction:
As a nanotechnologist focusing on material development, imagine you're tasked with analyzing a dataset of measurements from newly synthesized nanomaterials. Your team needs to understand if the size distribution of nanoparticles follows a power law, which could have significant implications for their behavior in various applications.

Could you utilize the powerlaw library to fit a power law distribution to the dataset and provide a descriptive summary of the fitted power law object?
### Response:
from powerlaw import Fit
import numpy as np

# generate some data
data = np.random.power(a=5, size=1000)

# fit the power law
fit = Fit(data)
fitted_power_law = fit.power_law

# now use the __str__ method to get a string representation
print(str(fitted_power_law))
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