Goal

This concept exercise should teach how basic non-customized comparisons work in python and how to use them effectively.

Learning objectives

understand all comparison operations in Python have the same priority and are evaluated after arithmetic, shifting, or bitwise operations.
understand all comparisons yield the boolean values True and False
know that identity comparisons is and is not are for checking an objects identity only
understand that == and != compare both the value & type of an object.
know where Python has altered the behavior of == and != for certain built-in types (such as numbers, or for standard library types like decimals, and fractions to allow comparison across and within type.
know that unlike numeric types, strings (str) and binary sequences (bytes & byte array) cannot be directly compared.
understand how comparisons work within built-in sequence types(list, tuple, range) and built-in collection types (set, [dict])
know about the "special" comparisons None, NotImplemented (comparing either should use identity operators and not equality operators because they are singleton objects) and NaN (NaN is never == to itself)
use the value comparison operators ==, >, <, != with numeric types
use the value comparison operators ==, >, <, != with non-numeric types
use is and is not to check/verify identity

rich comparison with __lt__, __le__, __ne__, __ge__, __gt__
understanding (and using the concept) that the == operator calls the dunder method __eq__() on a specific object, and uses that object's implementation for comparison. Where no implementation is present, the default __eq__() from generic object is used.
overloading the default implementation of the __eq__() dunder method on a specific object to customize comparison behavior.
set operations
performance considerations