<｜begin▁of▁sentence｜>### Instruction:
Using the NetworkX Python library, how can you generate a random k-out graph with 5 nodes, where each node is joined to 2 others nodes using a preferential attachment parameter alpha of 0.5, without allowing self-loops and with a seed of 42 for reproducibility?
### Response:
import networkx as nx

# Parameters for the random k-out graph
n = 5  # Number of nodes
k = 2  # Each node is joined with k other nodes
alpha = 0.5  # The alpha parameter for the preferential attachment
self_loops = False  # Allow self loops or not
seed = 42  # Seed for the random number generator

# Create the random k-out graph with preferential attachment
G = nx.random_k_out_graph(n, k, alpha, self_loops=self_loops, seed=seed)

# Print the nodes and edges of the graph
print('Nodes:', G.nodes())
print('Edges:', G.edges())
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