I fully agree that the workflow should be Python to C. Thanks for the suggested 
tools. I heard about Cython almost the same time I heard about Python. I will 
look at it for wisdom! 

My situation is exactly the "Unless" one you mentioned. Since the dataset can 
be huge, multiple computer nodes will be needed to crunch the numbers and form 
something ( hopefully much smaller ) to be visualized in Python ( via 
matplotlib ). I could save a dataset ( say in hdf5 ) after all the computers 
finished calculation, and read it into Python. But I was thinking since the 
processed dataset is already in the memory, maybe a direct call to Python for 
matplotlib functionality could be achieved?
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