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

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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) Floating-point numbers are represented in computer hardware as base 2 (binary)
fractions. For example, the decimal fraction :: 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``
0.125 has value 0/2 + 0/4 + 1/8. These two fractions have identical values, the only
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, real difference being that the first is written in base 10 fractional notation,
and the second in base 2. and the second in base 2.