[Python-checkins] python/dist/src/Doc/tut tut.tex,1.237,1.238

Thu Jul 8 11:33:02 CEST 2004

Update of /cvsroot/python/python/dist/src/Doc/tut
In directory sc8-pr-cvs1.sourceforge.net:/tmp/cvs-serv11587
Modified Files:
	tut.tex 
Log Message:
Fix markup and nits.
Index: tut.tex
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RCS file: /cvsroot/python/python/dist/src/Doc/tut/tut.tex,v
retrieving revision 1.237
retrieving revision 1.238
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*** tut.tex	7 Jul 2004 02:32:36 -0000	1.237
--- tut.tex	8 Jul 2004 09:33:00 -0000	1.238
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*** 5058,5076 ****

! \section{Tools for Working with Decimal Floating Point\label{decimal-fp}}

! The \module{decimal} module, offers a \class{Decimal} data type for
 decimal floating point arithmetic. Compared to the built-in \class{float}
! type implemented with binary floating point, the new class is especially
! useful for financial applications and other uses which require exact
 decimal representation, control over precision, control over rounding
 to meet legal or regulatory requirements, tracking of significant
 decimal places, or for applications where the user expects the results
! to match hand calculations done as taught in school.

! For example, calculating a 5% tax on a 70 cent phone charge gives
! different results in decimal floating point and binary floating point
! with the difference being significant when rounding to the nearest
! cent:

 \begin{verbatim}
--- 5058,5076 ----

! \section{Decimal Floating Point Arithmetic\label{decimal-fp}}

! The \module{decimal} module offers a \class{Decimal} datatype for
 decimal floating point arithmetic. Compared to the built-in \class{float}
! implementation of binary floating point, the new class is especially
! helpful for financial applications and other uses which require exact
 decimal representation, control over precision, control over rounding
 to meet legal or regulatory requirements, tracking of significant
 decimal places, or for applications where the user expects the results
! to match hand calculations as taught in school.

! For example, calculating a 5\%{} tax on a 70 cent phone charge gives
! different results in decimal floating point and binary floating point.
! The difference becomes significant if the results are rounded to the
! nearest cent:

 \begin{verbatim}