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authorDavid Goodger <goodger@python.org>2009-01-31 22:53:46 (GMT)
committerDavid Goodger <goodger@python.org>2009-01-31 22:53:46 (GMT)
commita528dc507caab7b549ec7b6a8f84c2a76dd6c1c7 (patch)
treed1669895957030b8b37e18246718858f6c70f189 /Doc/tutorial
parent1c5d21d644bf74551f4d4cb33d74cedbfc69d61c (diff)
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markup fix
Diffstat (limited to 'Doc/tutorial')
-rw-r--r--Doc/tutorial/floatingpoint.rst2
1 files changed, 1 insertions, 1 deletions
diff --git a/Doc/tutorial/floatingpoint.rst b/Doc/tutorial/floatingpoint.rst
index 6913c46..cb3009b 100644
--- a/Doc/tutorial/floatingpoint.rst
+++ b/Doc/tutorial/floatingpoint.rst
@@ -157,7 +157,7 @@ Why is that? 1/10 is not exactly representable as a binary fraction. Almost all
machines today (November 2000) use IEEE-754 floating point arithmetic, and
almost all platforms map Python floats to IEEE-754 "double precision". 754
doubles contain 53 bits of precision, so on input the computer strives to
-convert 0.1 to the closest fraction it can of the form *J*/2\*\**N* where *J* is
+convert 0.1 to the closest fraction it can of the form *J*/2**\ *N* where *J* is
an integer containing exactly 53 bits. Rewriting ::
1 / 10 ~= J / (2**N)