<｜begin▁of▁sentence｜>### Instruction:
Given a bipartite graph with nodes [1, 2, 3, 4] in one set and ['a', 'b', 'c'] in the other, connected by the edges [(1, 'a'), (1, 'b'), (2, 'b'), (3, 'c'), (4, 'a')], can you calculate the density of the graph? Use NetworkX and make sure to pass all nodes in one of the bipartite node sets to the function to avoid ambiguity.
### Response:
import networkx as nx
from networkx.algorithms import bipartite

# Create a bipartite graph
G = nx.Graph()
G.add_nodes_from([1, 2, 3, 4], bipartite=0)
G.add_nodes_from(['a', 'b', 'c'], bipartite=1)
G.add_edges_from([(1, 'a'), (1, 'b'), (2, 'b'), (3, 'c'), (4, 'a')])

# Set of nodes from one of the bipartite sets
nodes = set([1, 2, 3, 4])

# Compute the bipartite density
bipartite_density = bipartite.density(G, nodes)

print('Bipartite density:', bipartite_density)
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