<｜begin▁of▁sentence｜>### Instruction:
As a telecommunications engineer, you may encounter a situation where you need to design a k-regular network for a specific number of nodes and degree. For instance, you might be tasked with setting up a communication network for a company with a certain number of offices or devices, ensuring that each node has the same number of connections for optimal data transmission. In this scenario, you'd need to make sure that the total number of nodes multiplied by the degree of connectivity is an even number, which is important for maintaining balanced traffic flow within the network.

In this context, you could utilize the NetworkX library in Python, a versatile tool for network analysis, to programmatically create and visualize the k-regular graph based on the given parameters. The generated graph can then serve as a blueprint for implementing the physical network infrastructure required to support voice and data transmission across the organization.

By leveraging your expertise in telecommunications and network design, you can ensure the seamless operation and efficient communication flow within the company's network.
### Response:
import igraph as ig

# Generate a k-regular graph where each vertex has degree k
k = 3
num_nodes = 10

# It's important that a k-regular graph with n vertices can only be generated if n*k is even
if num_nodes * k % 2 == 0:
    graph = ig.Graph.K_Regular(n=num_nodes, k=k)
    ig.plot(graph, vertex_label=range(num_nodes))
else:
    print('Cannot create a k-regular graph with these parameters')
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