Summary
In this chapter, we were able to explore more topics in computational thinking, especially in dealing with data and deep learning, using the Python programming language. We learned how to create pairplots in order to determine the relationship between variables in a dataset. We also learned how to produce various types of plots to visually represent our datasets. We also learned how to create electric field lines using Python. In short, we applied what we'd learned throughout the previous chapters and extended our knowledge while working in applied problems.
And that's really what this book sought to do: Show a wide variety of Python applications while looking at real problems in context. Did we cover everything Python can do? That's fairly impossible, as Python capabilities continue to grow because of its ease of use, how easy it is to learn, and how many applications continue to be added because of its open source nature. Hopefully, you got to work with...
