[3.13] gh-121905: Consistently use "floating-point" instead of "floating point" (GH-121907) (GH-122012)

(cherry picked from commit 1a0c7b9ba4)

Doc/tutorial/floatingpoint.rst

@@ -6,7 +6,7 @@
 .. _tut-fp-issues:
 
 **************************************************
-Floating Point Arithmetic:  Issues and Limitations
+Floating-Point Arithmetic:  Issues and Limitations
 **************************************************
 
 .. sectionauthor:: Tim Peters <tim_one@users.sourceforge.net>
@@ -88,7 +88,7 @@ the one with 17 significant digits, ``0.10000000000000001``.   Starting with
 Python 3.1, Python (on most systems) is now able to choose the shortest of
 these and simply display ``0.1``.
 
-Note that this is in the very nature of binary floating-point: this is not a bug
+Note that this is in the very nature of binary floating point: this is not a bug
 in Python, and it is not a bug in your code either.  You'll see the same kind of
 thing in all languages that support your hardware's floating-point arithmetic
 (although some languages may not *display* the difference by default, or in all
@@ -148,13 +148,13 @@ Binary floating-point arithmetic holds many surprises like this.  The problem
 with "0.1" is explained in precise detail below, in the "Representation Error"
 section.  See `Examples of Floating Point Problems
 <https://jvns.ca/blog/2023/01/13/examples-of-floating-point-problems/>`_ for
-a pleasant summary of how binary floating-point works and the kinds of
+a pleasant summary of how binary floating point works and the kinds of
 problems commonly encountered in practice.  Also see
 `The Perils of Floating Point <http://www.indowsway.com/floatingpoint.htm>`_
 for a more complete account of other common surprises.
 
 As that says near the end, "there are no easy answers."  Still, don't be unduly
-wary of floating-point!  The errors in Python float operations are inherited
+wary of floating point!  The errors in Python float operations are inherited
 from the floating-point hardware, and on most machines are on the order of no
 more than 1 part in 2\*\*53 per operation.  That's more than adequate for most
 tasks, but you do need to keep in mind that it's not decimal arithmetic and

Doc/tutorial/introduction.rst

@@ -62,7 +62,7 @@ For example::
    20
    >>> (50 - 5*6) / 4
    5.0
-   >>> 8 / 5  # division always returns a floating point number
+   >>> 8 / 5  # division always returns a floating-point number
    1.6
 
 The integer numbers (e.g. ``2``, ``4``, ``20``) have type :class:`int`,
@@ -544,7 +544,7 @@ This example introduces several new features.
 * The :func:`print` function writes the value of the argument(s) it is given.
   It differs from just writing the expression you want to write (as we did
   earlier in the calculator examples) in the way it handles multiple arguments,
-  floating point quantities, and strings.  Strings are printed without quotes,
+  floating-point quantities, and strings.  Strings are printed without quotes,
   and a space is inserted between items, so you can format things nicely, like
   this::
 

Doc/tutorial/stdlib.rst

@@ -138,7 +138,7 @@ Mathematics
 ===========
 
 The :mod:`math` module gives access to the underlying C library functions for
-floating point math::
+floating-point math::
 
    >>> import math
    >>> math.cos(math.pi / 4)

Doc/tutorial/stdlib2.rst

@@ -352,11 +352,11 @@ not want to run a full list sort::
 
 .. _tut-decimal-fp:
 
-Decimal Floating Point Arithmetic
+Decimal Floating-Point Arithmetic
 =================================
 
 The :mod:`decimal` module offers a :class:`~decimal.Decimal` datatype for
-decimal floating point arithmetic.  Compared to the built-in :class:`float`
+decimal floating-point arithmetic.  Compared to the built-in :class:`float`
 implementation of binary floating point, the class is especially helpful for
 
 * financial applications and other uses which require exact decimal