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[doc] Enhance readability by avoiding big blocks for small numbers. (GH-31157) 

Initially reported by Gregory Jacob on the docs@ mailing list:

https://mail.python.org/archives/list/docs@python.org/thread/VPSFGLOZOHSPF7TGPOI65AOH25TCPSVR/
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Julien Palard 2022-02-06 13:44:04 +01:00 committed by GitHub
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Doc/tutorial/floatingpoint.rst
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@ -12,15 +12,9 @@ Floating Point Arithmetic: Issues and Limitations
Floating-point numbers are represented in computer hardware as base 2 (binary)
fractions. For example, the decimal fraction ::
0.125
has value 1/10 + 2/100 + 5/1000, and in the same way the binary fraction ::
0.001
has value 0/2 + 0/4 + 1/8. These two fractions have identical values, the only
fractions. For example, the **decimal** fraction ``0.125``
has value 1/10 + 2/100 + 5/1000, and in the same way the **binary** fraction ``0.001``
has value 0/2 + 0/4 + 1/8. These two fractions have identical values, the only
real difference being that the first is written in base 10 fractional notation,
and the second in base 2.