<｜begin▁of▁sentence｜>### Instruction:
In the midst of curating a more holistic and mindful approach towards our daily activities, imagine we view the interconnectedness of life as a metaphorical directed graph, where the relationships between various entities are like the energy flow in our asanas. Each connection, represented here by edges like (0, 1), (1, 2), (2, 0), (3, 4), (4, 5), (5, 3), and (6, 7), mirrors the give and take in our journey towards interconnected enlightenment.

As a Yoga Instructor, you know very well the importance of understanding each individual component of our practice and how they collectively contribute to the balance and flow of energy. How, then, does one find harmony by obtaining a sorted list of these interconnected components that are strongly linked, akin to how our bodies and minds function as bounded circles of energy within our yoga practice, using the principles outlined by our virtual guide, NetworkX?
### Response:
import networkx as nx

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

# Add some edges
G.add_edges_from([(0, 1), (1, 2), (2, 0), (3, 4), (4, 5), (5, 3), (6, 7)])

# Generate the strongly connected components
components = sorted(nx.strongly_connected_components(G), key=len, reverse=True)

# Print the sorted components
for comp in components:
    print(comp)

# If you want the largest component
largest_comp = max(nx.strongly_connected_components(G), key=len)
print("Largest component:", largest_comp)
<|EOT|>
