<｜begin▁of▁sentence｜>### Instruction:
Imagine you're designing a new office workspace, where the layout of desks follows the pattern of an interconnected network. Think of each desk as a node, and the paths between them as edges. The arrangement you've planned is quite unique - it forms two loops of movement within the office. One loop connects desks 0 to 1, then 1 to 2, 2 to 3, and finally 3 back to 0. The second loop connects desk 0 to 3, 3 to 4, 4 to 5, and 5 back to 0. In order to optimize the flow of movement and ensure efficient use of space, can we employ NetworkX to establish a cycle basis for this network, initiating our analysis at desk 0? This approach could substantially aid in creating an environment that promotes both productivity and comfort.
### Response:
import networkx as nx

# Create a Graph and add cycles
g = nx.Graph()
nx.add_cycle(g, [0, 1, 2, 3])
nx.add_cycle(g, [0, 3, 4, 5])

# Get the cycle basis starting from node 0
cycle_basis = nx.cycle_basis(g, 0)
print(cycle_basis)
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