<｜begin▁of▁sentence｜>### Instruction:
As a veterinary technician, you may have recently been involved in assisting with a surgery on a group of animals, and as a result, there have been some changes to the post-surgery care plan, including adjustments to the medication and monitoring requirements. To ensure that the animals' recovery is being accurately evaluated, the modularity score of the post-surgery care plan clustering may need to be updated. Utilizing the 'recalculate_modularity' function of the igraph API, you can recalculate the modularity value to reflect the current status of the post-surgery care plan clustering in order to monitor and optimize the animals' recovery progress.
### Response:
from igraph import Graph
import igraph as ig

g = ig.Graph.Famous('Zachary')
vc = g.community_edge_betweenness()
clustering = vc.as_clustering()
print('Old modularity:', clustering.modularity)

# Modify the graph, for example, by deleting an edge
g.delete_edges(0)

# Recalculate the modularity after the graph modification
new_modularity = clustering.recalculate_modularity()
print('New modularity:', new_modularity)
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