<｜begin▁of▁sentence｜>### Instruction:
Alright, let's set the scene here Ã¢ÂÂ imagine we're out in the field, I've got my hard hat on, climbing up the ladder inside the massive tower of a wind turbine to get to the nacelle. That's the part right behind the rotor blades housing all the crucial machinery. Gotta make sure everything's running smoothly, you know? Maintenance is key in this job Ã¢ÂÂ from the gearbox to the electrical systems. It's all about efficiency and minimizing downtime.

Lately, we've been thinking about improving how we analyze the network of sensors we've got installed throughout the wind farm. These sensors collect all sorts of data Ã¢ÂÂ vibration, temperature, you name it Ã¢ÂÂ to help us predict and prevent failures. It's a complex network, really, like a web linking all the turbines and their individual parts.

Now, we've got this data network laid out in a graph format saved in a file with the fancy name "littleballoffur15.sparse6". Our goal here is to simplify the network, to get a clearer picture by focusing on a sample Ã¢ÂÂ just enough to see the patterns without overloading ourselves with information. It's sort of like when you're troubleshooting a turbine Ã¢ÂÂ you don't need to inspect every bolt, just the critical ones.

So, imagine this Ã¢ÂÂ we're trying our hand at using this handy tool they call the BreadthFirstSearchSampler. It's a bit like when we do a methodical inspection starting from the top of the turbine and working our way down. We want to use this tool to cherry-pick a smaller section of our sensor network graph. Specifically, we're aiming to get a manageable subgraph that represents just 10 nodes. It's as if we're selecting 10 turbines to focus our attention on, out of a field of hundreds.

Could you guide me on how to use this BreadthFirstSearchSampler to do just that with our data from the "littleballoffur15.sparse6" file? Translate that into the techy side of things for me?
### Response:
import networkx as nx
from littleballoffur import BreadthFirstSearchSampler
G = nx.read_sparse6('littleballoffur15.sparse6')
sampler = BreadthFirstSearchSampler(number_of_nodes=10)
sampler_G = sampler.sample(G)
print(sampler_G.edges()), print(sampler_G.nodes())
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