<｜begin▁of▁sentence｜>### Instruction:
Certainly! Here's how to rephrase the question while imitating the knowledge level and tone of a Financial Analyst:

"In reviewing the flow of transactions within a directed network of financial transfers, we've identified a sequence of transactions represented by the following directed connections: (0 to 3), (1 to 2), (2 to 3), (3 to 0), and (3 to 1). To optimize our transaction routing and ensure a seamless flow of capital, we need to evaluate the network's structure for cyclical transaction potential, or in graph theoretical terms, determine if the transaction ledger represents an Eulerian cycle. Could we employ NetworkX to ascertain the Eulerian nature of this transaction network? This analysis will assist in ascertaining the efficiency and robustness of our current transaction system."
### Response:
import networkx as nx

# Create a directed graph
G = nx.DiGraph([(0, 3), (1, 2), (2, 3), (3, 0), (3, 1)])

# Check if the graph is Eulerian
is_euler = nx.is_eulerian(G)

print('Is the graph Eulerian?', is_euler)
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