<｜begin▁of▁sentence｜>### Instruction:
Given a number of nodes and a fixed out-degree along with a preference attachment weighting factor and a seed for random state, can you create a random k-out graph using NetworkX and visualize it without allowing self-loops?
### Response:
import networkx as nx

# Parameters for the random k-out graph
n = 5 # number of nodes
k = 2 # each node will have an out-degree of k
alpha = 0.5 # controls the attachment preference
self_loops = False # self-loops are not allowed
seed = 42 # seed for random number generation

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

# Draw the graph
import matplotlib.pyplot as plt
nx.draw(G, with_labels=True)
plt.show()
<|EOT|>
