<｜begin▁of▁sentence｜>### Instruction:
Given a graph created using NetworkX's built-in 'karate_club_graph' function, can you use the 'louvain_communities' method to find and print the community partition of the graph using the Louvain Community Detection Algorithm?
### Response:
import networkx as nx
from networkx.algorithms import community

# Create a graph
G = nx.karate_club_graph()

# Find the best partition using the Louvain Community Detection Algorithm
partition = community.louvain_communities(G, weight='weight', resolution=1, threshold=0.0000001, seed=42)

# Print the communities
for community in partition:
    print(community)
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