It is possible to use generic Python objects as the dtype for a NumPy array, but if you do this, you’ll get no better performance with NumPy than you would with Python generally.

This tells Python to import SymPy into the main namespace, define a symbolic x variable, and set up "pretty printing." This will make the output look more like it does in a math textbook.

That was [gnebehay’s] thought when his university studies were too high level, so he decided to write an arithmetic expression parser in Python. It came out in about 100 lines of code.

The solution he came up with is to use the Python interpreter as a binary math aide. We knew that you could use Python to convert between decimal, hexadecimal, and binary.