<｜begin▁of▁sentence｜>### Instruction:
Imagine you're working on designing a new energy distribution network, and you have a data set representing various linkage points of subsystems within a larger grid. The data, organized in a nested iterable structure [['A', 'B'], ['C', ['D', 'E']], 'F'], represents connections between different elements and sub-networks of the grid.

Could you walk me through the process of employing NetworkX's flatten utility to convert this complex nested connection dataset into a streamlined, single-layered list format? This transformation would be essential to streamline the integration of these subsystems into a comprehensive energy network model for further analysis and development.
### Response:
import networkx as nx
# Create a nested iterable
nested_iterable = [['A', 'B'], ['C', ['D', 'E']], 'F']
# Use NetworkX's flatten function
collapsed = list(nx.utils.flatten(nested_iterable))
print(collapsed)
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