One of the neat features of Python is that it works very well as a “glue” language. That is, it enables us to manage many, if not all, parts of a scientific or engineering workflow, within a single computing environment. In earlier chapters, we saw how Python can be used for reading in data, doing calculations on the data, and making plots of the results. We have also seen that Python can be used to generate “data,” in the form of model or simulation results, which can also be analyzed and graphed. In the past, scientists and engineers used separate programs to work on each of these steps in their workflow, and these separate programs did not communicate with each other except through files.
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