<｜begin▁of▁sentence｜>### Instruction:
Given a graph whose edge set is [('A', 'B'), ('B', 'C'), ('A', 'C'), ('C', 'D')], and the initial coloring is 'A' with color 0 and 'B' with color 1, how can you iterate over the nodes using the saturation largest first strategy from NetworkX?
### Response:
import networkx as nx
# Create a graph
G = nx.Graph()
G.add_edges_from([('A', 'B'), ('B', 'C'), ('A', 'C'), ('C', 'D')])
# Define an initial coloring
colors = {'A': 0, 'B': 1}
# Create the iterator using the saturation largest first strategy
iterator = nx.coloring.strategy_saturation_largest_first(G, colors)
# Apply the coloring strategy
for node in iterator:
    print(node)
<|EOT|>
