Floating point numbers in Python and most of the modern langua | Python etc

Floating point numbers in Python and most of the modern languages are implemented according to IEEE 754. The most interesting and hardcore part is "arithmetic formats" which defines a few special values:

+ inf and -inf representing infinity.
+ nan representing a special "Not a Number" value.
+ -0.0 representing "negative zero"

Negative zero is the easiest case, for all operations it considered to be the same as the positive zero:

-.0 == .0 # True
-.0 < .0 # False

Nan returns False for all comparison operations (except !=) including comparison with inf:

import math

math.nan < 10 # False
math.nan > 10 # False
math.nan < math.inf # False
math.nan > math.inf # False
math.nan == math.nan # False
math.nan != 10 # True

And all binary operations on nan return nan:

math.nan + 10 # nan
1 / math.nan # nan

You can read more about nan in previous posts:

+ https://t.me/pythonetc/561
+ https://t.me/pythonetc/597

Infinity is bigger than anything else (except nan). However, unlike in pure math, infinity is equal to infinity:

10 < math.inf # True
math.inf == math.inf # True

The sum of positive and negative infinity is nan:

-math.inf + math.inf # nan