cpython/Doc/whatsnew/whatsnew25.tex

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\documentclass{howto}
\usepackage{distutils}
% $Id$
\title{What's New in Python 2.5}
\release{0.0}
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\author{A.M. Kuchling}
\authoraddress{\email{amk@amk.ca}}
\begin{document}
\maketitle
\tableofcontents
This article explains the new features in Python 2.5. No release date
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for Python 2.5 has been set; it will probably be released in late 2005.
% Compare with previous release in 2 - 3 sentences here.
This article doesn't attempt to provide a complete specification of
the new features, but instead provides a convenient overview. For
full details, you should refer to the documentation for Python 2.5.
% add hyperlink when the documentation becomes available online.
If you want to understand the complete implementation and design
rationale, refer to the PEP for a particular new feature.
%======================================================================
\section{PEP 309: Partial Function Application}
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The \module{functional} module is intended to contain tools for
functional-style programming. Currently it only contains
\class{partial}, but new functions will probably be added in future
versions of Python.
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For programs written in a functional style, it can be useful to
construct variants of existing functions that have some of the
parameters filled in. Consider a Python function \code{f(a, b, c)};
you could create a new function \code{g(b, c)} that was equivalent to
\code{f(1, b, c)}. This is called ``partial function application'',
and is provided by the \class{partial} class in the new
\module{functional} module.
The constructor for \class{partial} takes the arguments
\code{(\var{function}, \var{arg1}, \var{arg2}, ...
\var{kwarg1}=\var{value1}, \var{kwarg2}=\var{value2})}. The resulting
object is callable, so you can just call it to invoke \var{function}
with the filled-in arguments.
Here's a small but realistic example:
\begin{verbatim}
import functional
def log (message, subsystem):
"Write the contents of 'message' to the specified subsystem."
print '%s: %s' % (subsystem, message)
...
server_log = functional.partial(log, subsystem='server')
\end{verbatim}
Here's another example, from a program that uses PyGTk.
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% XXX add example from my GTk programming
\begin{seealso}
\seepep{309}{Partial Function Application}{PEP proposed and written by
Peter Harris; implemented by Hye-Shik Chang, with adaptations by
Raymond Hettinger.}
\end{seealso}
%======================================================================
\section{PEP 314: Metadata for Python Software Packages v1.1}
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Some simple dependency support was added to Distutils. The
\function{setup()} function now has \code{requires},\code{provides},
and \code{obsoletes}. When you build a source distribution using the
\code{sdist} command, the dependency information will be recorded in
the \file{PKG-INFO} file.
Another new keyword is \code{download_url}, which should be set to a
URL for the package's source code. This means it's now possible to
look up an entry in the package index, determine the dependencies for
a package, and download the required packages.
% XXX put example here
\begin{seealso}
\seepep{314}{Metadata for Python Software Packages v1.1}{PEP proposed
and written by A.M. Kuchling, Richard Jones, and Fred Drake;
implemented by Richard Jones and Fred Drake.}
\end{seealso}
%======================================================================
\section{Other Language Changes}
Here are all of the changes that Python 2.5 makes to the core Python
language.
\begin{itemize}
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\item The \function{min()} and \function{max()} built-in functions
gained a \code{key} keyword argument analogous to the \code{key}
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argument for \method{sort()}. This argument supplies a function
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that takes a single argument and is called for every value in the list;
\function{min()}/\function{max()} will return the element with the
smallest/largest return value from this function.
For example, to find the longest string in a list, you can do:
\begin{verbatim}
L = ['medium', 'longest', 'short']
# Prints 'longest'
print max(L, key=len)
# Prints 'short', because lexicographically 'short' has the largest value
print max(L)
\end{verbatim}
(Contributed by Steven Bethard and Raymond Hettinger.)
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\item The list of base classes in a class definition can now be empty.
As an example, this is now legal:
\begin{verbatim}
class C():
pass
\end{verbatim}
(Implemented by Brett Cannon.)
\end{itemize}
%======================================================================
\subsection{Optimizations}
\begin{itemize}
\item Optimizations should be described here.
\end{itemize}
The net result of the 2.5 optimizations is that Python 2.5 runs the
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pystone benchmark around XX\% faster than Python 2.4.
%======================================================================
\section{New, Improved, and Deprecated Modules}
As usual, Python's standard library received a number of enhancements and
bug fixes. Here's a partial list of the most notable changes, sorted
alphabetically by module name. Consult the
\file{Misc/NEWS} file in the source tree for a more
complete list of changes, or look through the CVS logs for all the
details.
\begin{itemize}
% the cPickle module no longer accepts the deprecated None option in the
% args tuple returned by __reduce__().
% csv module improvements
% datetime.datetime() now has a strptime class method which can be used to
% create datetime object using a string and format.
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\item The \function{nsmallest()} and
\function{nlargest()} functions in the \module{heapq} module
now support a \code{key} keyword argument similar to the one
provided by the \function{min()}/\function{max()} functions
and the \method{sort()} methods. For example:
Example:
\begin{verbatim}
>>> import heapq
>>> L = ["short", 'medium', 'longest', 'longer still']
>>> heapq.nsmallest(2, L) # Return two lowest elements, lexicographically
['longer still', 'longest']
>>> heapq.nsmallest(2, L, key=len) # Return two shortest elements
['short', 'medium']
\end{verbatim}
(Contributed by Raymond Hettinger.)
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\item The \function{itertools.islice()} function now accepts
\code{None} for the start and step arguments. This makes it more
compatible with the attributes of slice objects, so that you can now write
the following:
\begin{verbatim}
s = slice(5) # Create slice object
itertools.islice(iterable, s.start, s.stop, s.step)
\end{verbatim}
(Contributed by Raymond Hettinger.)
\item New module: \module{spwd} provides functions for accessing the
shadow password database on systems that support it.
% XXX give example
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\item The \module{os} module underwent a number of changes. The
\member{stat_float_times} variable now defaults to true, meaning that
\function{os.stat()} will now return time values as floats. (This
doesn't necessarily mean that \function{os.stat()} will return times
that are precise to fractions of a second; not all systems support
such precision.)
Also, constants named \member{os.SEEK_SET}, \member{os.SEEK_CUR}, and
\member{os.SEEK_END} have been added; these are the parameters to the
\function{os.lseek()} function.
\item The \class{TarFile} class in the \module{tarfile} module now has
a \method{extractall()} method that extracts all members from the
archive into the current working directory. It's also possible to set
a different directory as the extraction target, and to unpack only a
subset of the archive's members. (Contributed by Lars Gust\"abel.)
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\end{itemize}
%======================================================================
% whole new modules get described in \subsections here
% ======================================================================
\section{Build and C API Changes}
Changes to Python's build process and to the C API include:
\begin{itemize}
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\item The \cfunction{PyRange_New()} function was removed. It was never documented,
never used in the core code, and had dangerously lax error checking.
\end{itemize}
%======================================================================
\subsection{Port-Specific Changes}
Platform-specific changes go here.
%======================================================================
\section{Other Changes and Fixes \label{section-other}}
As usual, there were a bunch of other improvements and bugfixes
scattered throughout the source tree. A search through the CVS change
logs finds there were XXX patches applied and YYY bugs fixed between
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Python 2.4 and 2.5. Both figures are likely to be underestimates.
Some of the more notable changes are:
\begin{itemize}
\item Details go here.
\end{itemize}
%======================================================================
\section{Porting to Python 2.5}
This section lists previously described changes that may require
changes to your code:
\begin{itemize}
\item Some old deprecated modules (\module{statcache}, \module{tzparse},
\module{whrandom}) have been moved to \file{Lib/lib-old}.
You can get access to these modules again by adding the directory
to your \code{sys.path}:
\begin{verbatim}
import os
from distutils import sysconfig
lib_dir = sysconfig.get_python_lib(standard_lib=True)
old_dir = os.path.join(lib_dir, 'lib-old')
sys.path.append(old_dir)
\end{verbatim}
Doing so is discouraged, however; it's better to update any code that
still uses these modules.
% the pickle module no longer uses the deprecated bin parameter.
\end{itemize}
%======================================================================
\section{Acknowledgements \label{acks}}
The author would like to thank the following people for offering
suggestions, corrections and assistance with various drafts of this
article: .
\end{document}