Python floating point number comparison

This might be illuminating:

>>> float.hex(2.2 * 3.0)
'0x1.a666666666667p+2'
>>> float.hex(3.3 * 2.0)
'0x1.a666666666666p+2'
>>> float.hex(6.6)
'0x1.a666666666666p+2'

Although they are all displayed in decimal as 6.6, when you inspect the internal representation, two of them are represented in the same way, while one of them is not.

In order to complete Amadan's good answer, here is a more obvious way of seeing that 2.2*3. and 3.3*2. are not represented by the same float: in a Python shell,

>>> 2.2 * 3.
6.6000000000000005
>>> 3.3 * 2.
6.6

In fact, the Python shell displays the representation of numbers, which by definition should allow the corresponding float to be correctly built back from the representation, so you see the numerical approximation of 2.2*3 that Python does. The fact that 2.2*3. != 3.3*2. is obvious when seeing all the necessary digits, like above.