<｜begin▁of▁sentence｜>### Instruction:
Picture this—you're about to hit the stage with your jazz band, and you've got a set that's as interconnected as the streets of New Orleans. Your band is like a network, my friend, with every musician (or node) passing the groove (or edge) to the next. Currently, your groovy graph of melodies has riffs flowing from sax to piano (0 to 1), piano to drums (1 to 2), drums to bass (2 to 3), and bass back to sax (3 to 0), with an extra fancy improvisation loop between the drums and the guest percussionist (2 to 4 to 2).

The question harmonizing in my mind is, does every smooth cat in your ensemble get a chance to lead and follow everyone else? In other words, is your band's sonic connection strong enough that the rhythm is unbroken no matter who starts the jam?

Now, imagine if during the gig, the connection from the drums to the bass (that's the 2 to 3 vibe) dropped out due to, let's say, the drummer taking a surprise solo, leaving everyone else hanging. Would the band still keep that strong connection, passing leads to each and every member?

That's the musical conundrum for today, no sheet music needed, just a feel for the flow. Can everyone still get their moment in the spotlight, even with that missing beat?
### Response:
import networkx as nx

# Create a directed graph
G = nx.DiGraph()

# Add edges
G.add_edges_from([(0, 1), (1, 2), (2, 3), (3, 0), (2, 4), (4, 2)])

# Check if the graph is strongly connected
connected = nx.is_strongly_connected(G)

print('The graph is strongly connected:', connected)

# Remove an edge to potentially disrupt strong connectivity
G.remove_edge(2, 3)

# Recheck if the graph is strongly connected
connected = nx.is_strongly_connected(G)

print('The graph is strongly connected after removing an edge:', connected)
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