<｜begin▁of▁sentence｜>### Instruction:
In the context of organizing financial data for tax purposes, imagine we've come across a set of records currently stored in a nested fashion, resembling something along these lines: [['a', 'b'], ['c', ['d', 'e']], 'f']. For a streamlined analysis and reporting process, we require this collection of items to be reformatted into a singular, non-nested sequence where each item stands alone at the same hierarchical level. Could you rephrase how we might leverage NetworkX's suite of tools to achieve a flattened list from the aforementioned complex, multi-tiered data structure? Please keep in mind that the integrity of the original information must be preserved during this simplification task.
### Response:
from networkx.utils import flatten

# Create a nested list
nested_list = [['a', 'b'], ['c', ['d', 'e']], 'f']

# Use flatten to convert it to a flat list
flat_list = list(flatten(nested_list))

print(flat_list)
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