[Python-checkins] python/dist/src/Doc/whatsnew whatsnew23.tex,1.130,1.131

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Update of /cvsroot/python/python/dist/src/Doc/whatsnew
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Modified Files:
	whatsnew23.tex 
Log Message:
Update datetime section a bit

Index: whatsnew23.tex
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RCS file: /cvsroot/python/python/dist/src/Doc/whatsnew/whatsnew23.tex,v
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retrieving revision 1.131
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*** 1680,1685 ****
  \subsection{Date/Time Type}
  
- % XXX This is out-of-date already: timetz and so on have gone away.
- 
  Date and time types suitable for expressing timestamps were added as
  the \module{datetime} module.  The types don't support different
--- 1680,1683 ----
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*** 1690,1697 ****
  and year; \class{time}, consisting of hour, minute, and second; and
  \class{datetime}, which contains all the attributes of both
! \class{date} and \class{time}.  These basic types don't understand
! time zones, but there are subclasses named \class{timetz} and
! \class{datetimetz} that do.  There's also a
! \class{timedelta} class representing a difference between two points
  in time, and time zone logic is implemented by classes inheriting from
  the abstract \class{tzinfo} class.
--- 1688,1693 ----
  and year; \class{time}, consisting of hour, minute, and second; and
  \class{datetime}, which contains all the attributes of both
! \class{date} and \class{time}.  There's also a
! \class{timedelta} class representing differences between two points
  in time, and time zone logic is implemented by classes inheriting from
  the abstract \class{tzinfo} class.
***************
*** 1700,1704 ****
  supplying keyword arguments to the appropriate constructor,
  e.g. \code{datetime.date(year=1972, month=10, day=15)}, or by using
! one of a number of class methods.  For example, the \method{today()}
  class method returns the current local date.
  
--- 1696,1700 ----
  supplying keyword arguments to the appropriate constructor,
  e.g. \code{datetime.date(year=1972, month=10, day=15)}, or by using
! one of a number of class methods.  For example, the \method{date.today()}
  class method returns the current local date.
  
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*** 1733,1737 ****
  result is the same as that of \method{isoformat()}).  \class{date} and
  \class{datetime} instances can be subtracted from each other, and
! added to \class{timedelta} instances.
  
  For more information, refer to the \ulink{module's reference
--- 1729,1735 ----
  result is the same as that of \method{isoformat()}).  \class{date} and
  \class{datetime} instances can be subtracted from each other, and
! added to \class{timedelta} instances.  The largest missing feature is
! that there's no support for parsing strings and getting back a
! \class{date} or \class{datetime}.
  
  For more information, refer to the \ulink{module's reference
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*** 1824,1837 ****
  \section{Specialized Object Allocator (pymalloc)\label{section-pymalloc}}
  
! An experimental feature added to Python 2.1 was pymalloc, a
! specialized object allocator written by Vladimir Marangozov.  Pymalloc
! is intended to be faster than the system \cfunction{malloc()} and
! to have less memory overhead for allocation patterns typical of Python
! programs.  The allocator uses C's \cfunction{malloc()} function to get
! large pools of memory and then fulfills smaller memory requests from
! these pools.
  
  In 2.1 and 2.2, pymalloc was an experimental feature and wasn't
! enabled by default; you had to explicitly turn it on by providing the
  \longprogramopt{with-pymalloc} option to the \program{configure}
  script.  In 2.3, pymalloc has had further enhancements and is now
--- 1822,1836 ----
  \section{Specialized Object Allocator (pymalloc)\label{section-pymalloc}}
  
! Pymalloc, a specialized object allocator written by Vladimir
! Marangozov, was a feature added to Python 2.1.  Pymalloc is intended
! to be faster than the system \cfunction{malloc()} and to have less
! memory overhead for allocation patterns typical of Python programs.
! The allocator uses C's \cfunction{malloc()} function to get large
! pools of memory and then fulfills smaller memory requests from these
! pools.
  
  In 2.1 and 2.2, pymalloc was an experimental feature and wasn't
! enabled by default; you had to explicitly enable it when compiling
! Python by providing the
  \longprogramopt{with-pymalloc} option to the \program{configure}
  script.  In 2.3, pymalloc has had further enhancements and is now