Data Visualization is an important and exciting aspect of data science. It reveals information we otherwise wouldn't have noticed. It allows us to showcase the work we've done through visualizations, ...

# rerunning the script produces the same results.

We use matplotlib for plotting in python. To have some more control over the coordinate axis we'll use .subplots. The first few lines of code just change the plot from a bounding box to a set of ...

We use matplotlib for plotting in python. We also have to convert SymPy matrices to NumPy arrays prior to plotting. Therefore, we prefer to define vectors as NumPy arrays if we intend to just plot ...