Python3.0有什么新变化

python lib

作者

Guido van Rossum

This article explains the new features in Python 3.0, compared to 2.6.

Python 3.0, also known as "Python 3000" or "Py3K", is the first ever

intentionally backwards incompatible Python release. There are more

changes than in a typical release, and more that are important for all

Python users. Nevertheless, after digesting the changes, you'll find

that Python really hasn't changed all that much -- by and large, we're

mostly fixing well-known annoyances and warts, and removing a lot of

old cruft.

This article doesn't attempt to provide a complete specification of

all new features, but instead tries to give a convenient overview.

For full details, you should refer to the documentation for Python

3.0, and/or the many PEPs referenced in the text. If you want to

understand the complete implementation and design rationale for a

particular feature, PEPs usually have more details than the regular

documentation; but note that PEPs usually are not kept up-to-date once

a feature has been fully implemented.

Due to time constraints this document is not as complete as it should

have been. As always for a new release, the Misc/NEWS file in the

source distribution contains a wealth of detailed information about

every small thing that was changed.

常见的绊脚石¶

This section lists those few changes that are most likely to trip you

up if you're used to Python 2.5.

Views And Iterators Instead Of Lists¶

Some well-known APIs no longer return lists:

  • dict methods dict.keys(), dict.items() and

    dict.values() return "views" instead of lists. For example,

    this no longer works: k=d.keys();k.sort(). Use k=

    sorted(d) instead (this works in Python 2.5 too and is just

    as efficient).

  • Also, the dict.iterkeys(), dict.iteritems() and

    dict.itervalues() methods are no longer supported.

  • map() and filter() return iterators. If you really need

    a list and the input sequences are all of equal length, a quick

    fix is to wrap map() in list(), e.g. list(map(...)),

    but a better fix is

    often to use a list comprehension (especially when the original code

    uses lambda), or rewriting the code so it doesn't need a

    list at all. Particularly tricky is map() invoked for the

    side effects of the function; the correct transformation is to use a

    regular for loop (since creating a list would just be

    wasteful).

    If the input sequences are not of equal length, map() will

    stop at the termination of the shortest of the sequences. For full

    compatibility with map() from Python 2.x, also wrap the sequences in

    itertools.zip_longest(), e.g. map(func,*sequences) becomes

    list(map(func,itertools.zip_longest(*sequences))).

  • range() now behaves like xrange() used to behave, except

    it works with values of arbitrary size. The latter no longer

    exists.

  • zip() now returns an iterator.

Ordering Comparisons¶

Python 3.0 has simplified the rules for ordering comparisons:

  • The ordering comparison operators (<, <=, >=, >)

    raise a TypeError exception when the operands don't have a

    meaningful natural ordering. Thus, expressions like 1<'', 0

    >None or len<=len are no longer valid, and e.g. None<

    None raises TypeError instead of returning

    False. A corollary is that sorting a heterogeneous list

    no longer makes sense -- all the elements must be comparable to each

    other. Note that this does not apply to the == and !=

    operators: objects of different incomparable types always compare

    unequal to each other.

  • builtin.sorted() and list.sort() no longer accept the

    cmp argument providing a comparison function. Use the key

    argument instead. N.B. the key and reverse arguments are now

    "keyword-only".

  • The cmp() function should be treated as gone, and the __cmp__()

    special method is no longer supported. Use __lt__() for sorting,

    __eq__() with __hash__(), and other rich comparisons as needed.

    (If you really need the cmp() functionality, you could use the

    expression (a>b)-(a<b) as the equivalent for cmp(a,b).)

整数¶

  • PEP 237: Essentially, long renamed to int.

    That is, there is only one built-in integral type, named

    int; but it behaves mostly like the old long type.

  • PEP 238: An expression like 1/2 returns a float. Use

    1//2 to get the truncating behavior. (The latter syntax has

    existed for years, at least since Python 2.2.)

  • The sys.maxint constant was removed, since there is no

    longer a limit to the value of integers. However, sys.maxsize

    can be used as an integer larger than any practical list or string

    index. It conforms to the implementation's "natural" integer size

    and is typically the same as sys.maxint in previous releases

    on the same platform (assuming the same build options).

  • The repr() of a long integer doesn't include the trailing L

    anymore, so code that unconditionally strips that character will

    chop off the last digit instead. (Use str() instead.)

  • Octal literals are no longer of the form 0720; use 0o720

    instead.

Text Vs. Data Instead Of Unicode Vs. 8-bit¶

Everything you thought you knew about binary data and Unicode has

changed.

  • Python 3.0 uses the concepts of text and (binary) data instead

    of Unicode strings and 8-bit strings. All text is Unicode; however

    encoded Unicode is represented as binary data. The type used to

    hold text is str, the type used to hold data is

    bytes. The biggest difference with the 2.x situation is

    that any attempt to mix text and data in Python 3.0 raises

    TypeError, whereas if you were to mix Unicode and 8-bit

    strings in Python 2.x, it would work if the 8-bit string happened to

    contain only 7-bit (ASCII) bytes, but you would get

    UnicodeDecodeError if it contained non-ASCII values. This

    value-specific behavior has caused numerous sad faces over the

    years.

  • As a consequence of this change in philosophy, pretty much all code

    that uses Unicode, encodings or binary data most likely has to

    change. The change is for the better, as in the 2.x world there

    were numerous bugs having to do with mixing encoded and unencoded

    text. To be prepared in Python 2.x, start using unicode

    for all unencoded text, and str for binary or encoded data

    only. Then the 2to3 tool will do most of the work for you.

  • You can no longer use u"..." literals for Unicode text.

    However, you must use b"..." literals for binary data.

  • As the str and bytes types cannot be mixed, you

    must always explicitly convert between them. Use str.encode()

    to go from str to bytes, and bytes.decode()

    to go from bytes to str. You can also use

    bytes(s,encoding=...) and str(b,encoding=...),

    respectively.

  • Like str, the bytes type is immutable. There is a

    separate mutable type to hold buffered binary data,

    bytearray. Nearly all APIs that accept bytes also

    accept bytearray. The mutable API is based on

    collections.MutableSequence.

  • All backslashes in raw string literals are interpreted literally.

    This means that '\U' and '\u' escapes in raw strings are not

    treated specially. For example, r'\u20ac' is a string of 6

    characters in Python 3.0, whereas in 2.6, ur'\u20ac' was the

    single "euro" character. (Of course, this change only affects raw

    string literals; the euro character is '\u20ac' in Python 3.0.)

  • The built-in basestring abstract type was removed. Use

    str instead. The str and bytes types

    don't have functionality enough in common to warrant a shared base

    class. The 2to3 tool (see below) replaces every occurrence of

    basestring with str.

  • Files opened as text files (still the default mode for open())

    always use an encoding to map between strings (in memory) and bytes

    (on disk). Binary files (opened with a b in the mode argument)

    always use bytes in memory. This means that if a file is opened

    using an incorrect mode or encoding, I/O will likely fail loudly,

    instead of silently producing incorrect data. It also means that

    even Unix users will have to specify the correct mode (text or

    binary) when opening a file. There is a platform-dependent default

    encoding, which on Unixy platforms can be set with the LANG

    environment variable (and sometimes also with some other

    platform-specific locale-related environment variables). In many

    cases, but not all, the system default is UTF-8; you should never

    count on this default. Any application reading or writing more than

    pure ASCII text should probably have a way to override the encoding.

    There is no longer any need for using the encoding-aware streams

    in the codecs module.

  • The initial values of sys.stdin, sys.stdout and

    sys.stderr are now unicode-only text files (i.e., they are

    instances of io.TextIOBase). To read and write bytes data

    with these streams, you need to use their io.TextIOBase.buffer

    attribute.

  • Filenames are passed to and returned from APIs as (Unicode) strings.

    This can present platform-specific problems because on some

    platforms filenames are arbitrary byte strings. (On the other hand,

    on Windows filenames are natively stored as Unicode.) As a

    work-around, most APIs (e.g. open() and many functions in the

    os module) that take filenames accept bytes objects

    as well as strings, and a few APIs have a way to ask for a

    bytes return value. Thus, os.listdir() returns a

    list of bytes instances if the argument is a bytes

    instance, and os.getcwdb() returns the current working

    directory as a bytes instance. Note that when

    os.listdir() returns a list of strings, filenames that

    cannot be decoded properly are omitted rather than raising

    UnicodeError.

  • Some system APIs like os.environ and sys.argv can

    also present problems when the bytes made available by the system is

    not interpretable using the default encoding. Setting the LANG

    variable and rerunning the program is probably the best approach.

  • PEP 3138: The repr() of a string no longer escapes

    non-ASCII characters. It still escapes control characters and code

    points with non-printable status in the Unicode standard, however.

  • PEP 3120:现在默认的源码编码格式是UTF-8。

  • PEP 3131: Non-ASCII letters are now allowed in identifiers.

    (However, the standard library remains ASCII-only with the exception

    of contributor names in comments.)

  • The StringIO and cStringIO modules are gone. Instead,

    import the io module and use io.StringIO or

    io.BytesIO for text and data respectively.

  • See also the Unicode 指南, which was updated for Python 3.0.

语法变化概述¶

This section gives a brief overview of every syntactic change in

Python 3.0.

新语法¶

  • PEP 3107: Function argument and return value annotations. This

    provides a standardized way of annotating a function's parameters

    and return value. There are no semantics attached to such

    annotations except that they can be introspected at runtime using

    the __annotations__ attribute. The intent is to encourage

    experimentation through metaclasses, decorators or frameworks.

  • PEP 3102: Keyword-only arguments. Named parameters occurring

    after *args in the parameter list must be specified using

    keyword syntax in the call. You can also use a bare * in the

    parameter list to indicate that you don't accept a variable-length

    argument list, but you do have keyword-only arguments.

  • Keyword arguments are allowed after the list of base classes in a

    class definition. This is used by the new convention for specifying

    a metaclass (see next section), but can be used for other purposes

    as well, as long as the metaclass supports it.

  • PEP 3104: nonlocal statement. Using nonlocalx

    you can now assign directly to a variable in an outer (but

    non-global) scope. nonlocal is a new reserved word.

  • PEP 3132: Extended Iterable Unpacking. You can now write things

    like a,b,*rest=some_sequence. And even *rest,a=

    stuff. The rest object is always a (possibly empty) list; the

    right-hand side may be any iterable. Example:

    (a,*rest,b)=range(5)

    This sets a to 0, b to 4, and rest to [1,2,3].

  • Dictionary comprehensions: {k:vfork,vinstuff} means the

    same thing as dict(stuff) but is more flexible. (This is

    PEP 274 vindicated. :-)

  • Set literals, e.g. {1,2}. Note that {} is an empty

    dictionary; use set() for an empty set. Set comprehensions are

    also supported; e.g., {xforxinstuff} means the same thing as

    set(stuff) but is more flexible.

  • New octal literals, e.g. 0o720 (already in 2.6). The old octal

    literals (0720) are gone.

  • New binary literals, e.g. 0b1010 (already in 2.6), and

    there is a new corresponding built-in function, bin().

  • Bytes literals are introduced with a leading b or B, and

    there is a new corresponding built-in function, bytes().

修改的语法¶

  • PEP 3109 and PEP 3134: new raise statement syntax:

    raise[expr[fromexpr]]. See below.

  • as and with are now reserved words. (Since

    2.6, actually.)

  • True, False, and None are reserved words. (2.6 partially enforced

    the restrictions on None already.)

  • Change from exceptexc, var to

    exceptexcasvar. See PEP 3110.

  • PEP 3115: New Metaclass Syntax. Instead of:

    classC:

    __metaclass__=M

    ...

    你现在需要使用:

    classC(metaclass=M):

    ...

    The module-global __metaclass__ variable is no longer

    supported. (It was a crutch to make it easier to default to

    new-style classes without deriving every class from

    object.)

  • List comprehensions no longer support the syntactic form

    [...forvarinitem1,item2,...]. Use

    [...forvarin(item1,item2,...)] instead.

    Also note that list comprehensions have different semantics: they

    are closer to syntactic sugar for a generator expression inside a

    list() constructor, and in particular the loop control

    variables are no longer leaked into the surrounding scope.

  • The ellipsis (...) can be used as an atomic expression

    anywhere. (Previously it was only allowed in slices.) Also, it

    must now be spelled as .... (Previously it could also be

    spelled as ..., by a mere accident of the grammar.)

移除的语法¶

  • PEP 3113: Tuple parameter unpacking removed. You can no longer

    write deffoo(a,(b,c)):....

    Use deffoo(a,b_c):b,c=b_c instead.

  • Removed backticks (use repr() instead).

  • Removed <> (use != instead).

  • Removed keyword: exec() is no longer a keyword; it remains as

    a function. (Fortunately the function syntax was also accepted in

    2.x.) Also note that exec() no longer takes a stream argument;

    instead of exec(f) you can use exec(f.read()).

  • Integer literals no longer support a trailing l or L.

  • String literals no longer support a leading u or U.

  • The frommoduleimport* syntax is only

    allowed at the module level, no longer inside functions.

  • The only acceptable syntax for relative imports is from.[module]

    importname. All import forms not starting with . are

    interpreted as absolute imports. (PEP 328)

  • Classic classes are gone.

Changes Already Present In Python 2.6¶

Since many users presumably make the jump straight from Python 2.5 to

Python 3.0, this section reminds the reader of new features that were

originally designed for Python 3.0 but that were back-ported to Python

2.6. The corresponding sections in Python 2.6 有什么新变化 should be

consulted for longer descriptions.

  • PEP 343: "with" 语句. The with statement is now a standard

    feature and no longer needs to be imported from the __future__.

    Also check out Writing Context Managers and

    contextlib 模块.

  • PEP 366: 从主模块显式相对导入. This enhances the usefulness of the -m

    option when the referenced module lives in a package.

  • PEP 370: 分用户的 site-packages 目录.

  • PEP 371: 多任务处理包.

  • PEP 3101: 高级字符串格式. Note: the 2.6 description mentions the

    format() method for both 8-bit and Unicode strings. In 3.0,

    only the str type (text strings with Unicode support)

    supports this method; the bytes type does not. The plan is

    to eventually make this the only API for string formatting, and to

    start deprecating the % operator in Python 3.1.

  • PEP 3105: print 改为函数. This is now a standard feature and no longer needs

    to be imported from __future__. More details were given above.

  • PEP 3110: 异常处理的变更. The exceptexcasvar

    syntax is now standard and exceptexc, var is no

    longer supported. (Of course, the asvar part is still

    optional.)

  • PEP 3112: 字节字面值. The b"..." string literal notation (and its

    variants like b'...', b"""...""", and br"...") now

    produces a literal of type bytes.

  • PEP 3116: 新 I/O 库. The io module is now the standard way of

    doing file I/O. The built-in open() function is now an

    alias for io.open() and has additional keyword arguments

    encoding, errors, newline and closefd. Also note that an

    invalid mode argument now raises ValueError, not

    IOError. The binary file object underlying a text file

    object can be accessed as f.buffer (but beware that the

    text object maintains a buffer of itself in order to speed up

    the encoding and decoding operations).

  • PEP 3118: 修改缓冲区协议. The old builtin buffer() is now really gone;

    the new builtin memoryview() provides (mostly) similar

    functionality.

  • PEP 3119: 抽象基类. The abc module and the ABCs defined in the

    collections module plays a somewhat more prominent role in

    the language now, and built-in collection types like dict

    and list conform to the collections.MutableMapping

    and collections.MutableSequence ABCs, respectively.

  • PEP 3127: 整型文字支持和语法. As mentioned above, the new octal literal

    notation is the only one supported, and binary literals have been

    added.

  • PEP 3129: 类装饰器.

  • PEP 3141: A Type Hierarchy for Numbers. The numbers module is another new use of

    ABCs, defining Python's "numeric tower". Also note the new

    fractions module which implements numbers.Rational.

Library Changes¶

Due to time constraints, this document does not exhaustively cover the

very extensive changes to the standard library. PEP 3108 is the

reference for the major changes to the library. Here's a capsule

review:

  • Many old modules were removed. Some, like gopherlib (no

    longer used) and md5 (replaced by hashlib), were

    already deprecated by PEP 4. Others were removed as a result

    of the removal of support for various platforms such as Irix, BeOS

    and Mac OS 9 (see PEP 11). Some modules were also selected for

    removal in Python 3.0 due to lack of use or because a better

    replacement exists. See PEP 3108 for an exhaustive list.

  • The bsddb3 package was removed because its presence in the

    core standard library has proved over time to be a particular burden

    for the core developers due to testing instability and Berkeley DB's

    release schedule. However, the package is alive and well,

    externally maintained at https://www.jcea.es/programacion/pybsddb.htm.

  • Some modules were renamed because their old name disobeyed

    PEP 8, or for various other reasons. Here's the list:

    旧名称

    新名称

    _winreg

    winreg

    ConfigParser

    configparser

    copy_reg

    copyreg

    队列

    queue

    SocketServer

    socketserver

    markupbase

    _markupbase

    repr

    reprlib

    test.test_support

    test.support

  • A common pattern in Python 2.x is to have one version of a module

    implemented in pure Python, with an optional accelerated version

    implemented as a C extension; for example, pickle and

    cPickle. This places the burden of importing the accelerated

    version and falling back on the pure Python version on each user of

    these modules. In Python 3.0, the accelerated versions are

    considered implementation details of the pure Python versions.

    Users should always import the standard version, which attempts to

    import the accelerated version and falls back to the pure Python

    version. The pickle / cPickle pair received this

    treatment. The profile module is on the list for 3.1. The

    StringIO module has been turned into a class in the io

    module.

  • Some related modules have been grouped into packages, and usually

    the submodule names have been simplified. The resulting new

    packages are:

    • dbm (anydbm, dbhash, dbm,

      dumbdbm, gdbm, whichdb).

    • html (HTMLParser, htmlentitydefs).

    • http (httplib, BaseHTTPServer,

      CGIHTTPServer, SimpleHTTPServer, Cookie,

      cookielib).

    • tkinter (all Tkinter-related modules except

      turtle). The target audience of turtle doesn't

      really care about tkinter. Also note that as of Python

      2.6, the functionality of turtle has been greatly enhanced.

    • urllib (urllib, urllib2, urlparse,

      robotparse).

    • xmlrpc (xmlrpclib, DocXMLRPCServer,

      SimpleXMLRPCServer).

Some other changes to standard library modules, not covered by

PEP 3108:

  • Killed sets. Use the built-in set() class.

  • Cleanup of the sys module: removed sys.exitfunc(),

    sys.exc_clear(), sys.exc_type, sys.exc_value,

    sys.exc_traceback. (Note that sys.last_type

    etc. remain.)

  • Cleanup of the array.array type: the read() and

    write() methods are gone; use fromfile() and

    tofile() instead. Also, the 'c' typecode for array is

    gone -- use either 'b' for bytes or 'u' for Unicode

    characters.

  • Cleanup of the operator module: removed

    sequenceIncludes() and isCallable().

  • Cleanup of the thread module: acquire_lock() and

    release_lock() are gone; use acquire() and

    release() instead.

  • Cleanup of the random module: removed the jumpahead() API.

  • The new module is gone.

  • The functions os.tmpnam(), os.tempnam() and

    os.tmpfile() have been removed in favor of the tempfile

    module.

  • The tokenize module has been changed to work with bytes. The

    main entry point is now tokenize.tokenize(), instead of

    generate_tokens.

  • string.letters and its friends (string.lowercase and

    string.uppercase) are gone. Use

    string.ascii_letters etc. instead. (The reason for the

    removal is that string.letters and friends had

    locale-specific behavior, which is a bad idea for such

    attractively-named global "constants".)

  • Renamed module __builtin__ to builtins (removing the

    underscores, adding an 's'). The __builtins__ variable

    found in most global namespaces is unchanged. To modify a builtin,

    you should use builtins, not __builtins__!

PEP 3101: A New Approach To String Formatting¶

  • A new system for built-in string formatting operations replaces the

    % string formatting operator. (However, the % operator is

    still supported; it will be deprecated in Python 3.1 and removed

    from the language at some later time.) Read PEP 3101 for the full

    scoop.

Changes To Exceptions¶

The APIs for raising and catching exception have been cleaned up and

new powerful features added:

  • PEP 352: All exceptions must be derived (directly or indirectly)

    from BaseException. This is the root of the exception

    hierarchy. This is not new as a recommendation, but the

    requirement to inherit from BaseException is new. (Python

    2.6 still allowed classic classes to be raised, and placed no

    restriction on what you can catch.) As a consequence, string

    exceptions are finally truly and utterly dead.

  • Almost all exceptions should actually derive from Exception;

    BaseException should only be used as a base class for

    exceptions that should only be handled at the top level, such as

    SystemExit or KeyboardInterrupt. The recommended

    idiom for handling all exceptions except for this latter category is

    to use exceptException.

  • StandardError was removed.

  • Exceptions no longer behave as sequences. Use the args

    attribute instead.

  • PEP 3109: Raising exceptions. You must now use raise

    Exception(args) instead of raiseException,args.

    Additionally, you can no longer explicitly specify a traceback;

    instead, if you have to do this, you can assign directly to the

    __traceback__ attribute (see below).

  • PEP 3110: Catching exceptions. You must now use

    exceptSomeExceptionasvariable instead

    of exceptSomeException,variable. Moreover, the

    variable is explicitly deleted when the except block

    is left.

  • PEP 3134: Exception chaining. There are two cases: implicit

    chaining and explicit chaining. Implicit chaining happens when an

    exception is raised in an except or finally

    handler block. This usually happens due to a bug in the handler

    block; we call this a secondary exception. In this case, the

    original exception (that was being handled) is saved as the

    __context__ attribute of the secondary exception.

    Explicit chaining is invoked with this syntax:

    raiseSecondaryException()fromprimary_exception

    (where primary_exception is any expression that produces an

    exception object, probably an exception that was previously caught).

    In this case, the primary exception is stored on the

    __cause__ attribute of the secondary exception. The

    traceback printed when an unhandled exception occurs walks the chain

    of __cause__ and __context__ attributes and prints a

    separate traceback for each component of the chain, with the primary

    exception at the top. (Java users may recognize this behavior.)

  • PEP 3134: Exception objects now store their traceback as the

    __traceback__ attribute. This means that an exception

    object now contains all the information pertaining to an exception,

    and there are fewer reasons to use sys.exc_info() (though the

    latter is not removed).

  • A few exception messages are improved when Windows fails to load an

    extension module. For example, errorcode193 is now %1is

    notavalidWin32application. Strings now deal with non-English

    locales.

Miscellaneous Other Changes¶

Operators And Special Methods¶

  • != now returns the opposite of ==, unless == returns

    NotImplemented.

  • The concept of "unbound methods" has been removed from the language.

    When referencing a method as a class attribute, you now get a plain

    function object.

  • __getslice__(), __setslice__() and __delslice__()

    were killed. The syntax a[i:j] now translates to

    a.__getitem__(slice(i,j)) (or __setitem__() or

    __delitem__(), when used as an assignment or deletion target,

    respectively).

  • PEP 3114: the standard next() method has been renamed to

    __next__().

  • The __oct__() and __hex__() special methods are removed

    -- oct() and hex() use __index__() now to convert

    the argument to an integer.

  • Removed support for __members__ and __methods__.

  • The function attributes named func_X have been renamed to

    use the __X__ form, freeing up these names in the function

    attribute namespace for user-defined attributes. To wit,

    func_closure, func_code, func_defaults,

    func_dict, func_doc, func_globals,

    func_name were renamed to __closure__,

    __code__, __defaults__, __dict__,

    __doc__, __globals__, __name__,

    respectively.

  • __nonzero__() is now __bool__().

Builtins¶

  • PEP 3135: New super(). You can now invoke super()

    without arguments and (assuming this is in a regular instance method

    defined inside a class statement) the right class and

    instance will automatically be chosen. With arguments, the behavior

    of super() is unchanged.

  • PEP 3111: raw_input() was renamed to input(). That

    is, the new input() function reads a line from

    sys.stdin and returns it with the trailing newline stripped.

    It raises EOFError if the input is terminated prematurely.

    To get the old behavior of input(), use eval(input()).

  • A new built-in function next() was added to call the

    __next__() method on an object.

  • The round() function rounding strategy and return type have

    changed. Exact halfway cases are now rounded to the nearest even

    result instead of away from zero. (For example, round(2.5) now

    returns 2 rather than 3.) round(x[,n]) now

    delegates to x.__round__([n]) instead of always returning a

    float. It generally returns an integer when called with a single

    argument and a value of the same type as x when called with two

    arguments.

  • Moved intern() to sys.intern().

  • Removed: apply(). Instead of apply(f,args) use

    f(*args).

  • Removed callable(). Instead of callable(f) you can use

    isinstance(f,collections.Callable). The operator.isCallable()

    function is also gone.

  • Removed coerce(). This function no longer serves a purpose

    now that classic classes are gone.

  • Removed execfile(). Instead of execfile(fn) use

    exec(open(fn).read()).

  • Removed the file type. Use open(). There are now several

    different kinds of streams that open can return in the io module.

  • Removed reduce(). Use functools.reduce() if you really

    need it; however, 99 percent of the time an explicit for

    loop is more readable.

  • Removed reload(). Use imp.reload().

  • Removed. dict.has_key() -- use the in operator

    instead.

构建和 C API 的改变¶

Due to time constraints, here is a very incomplete list of changes

to the C API.

  • Support for several platforms was dropped, including but not limited

    to Mac OS 9, BeOS, RISCOS, Irix, and Tru64.

  • PEP 3118: New Buffer API.

  • PEP 3121: Extension Module Initialization & Finalization.

  • PEP 3123: Making PyObject_HEAD conform to standard C.

  • No more C API support for restricted execution.

  • PyNumber_Coerce(), PyNumber_CoerceEx(),

    PyMember_Get(), and PyMember_Set() C APIs are removed.

  • New C API PyImport_ImportModuleNoBlock(), works like

    PyImport_ImportModule() but won't block on the import lock

    (returning an error instead).

  • Renamed the boolean conversion C-level slot and method:

    nb_nonzero is now nb_bool.

  • Removed METH_OLDARGS and WITH_CYCLE_GC from the C API.

性能¶

The net result of the 3.0 generalizations is that Python 3.0 runs the

pystone benchmark around 10% slower than Python 2.5. Most likely the

biggest cause is the removal of special-casing for small integers.

There's room for improvement, but it will happen after 3.0 is

released!

移植 Python 3.0¶

For porting existing Python 2.5 or 2.6 source code to Python 3.0, the

best strategy is the following:

  1. (Prerequisite:) Start with excellent test coverage.

  2. Port to Python 2.6. This should be no more work than the average

    port from Python 2.x to Python 2.(x+1). Make sure all your tests

    pass.

  3. (Still using 2.6:) Turn on the -3 command line switch.

    This enables warnings about features that will be removed (or

    change) in 3.0. Run your test suite again, and fix code that you

    get warnings about until there are no warnings left, and all your

    tests still pass.

  4. Run the 2to3 source-to-source translator over your source code

    tree. (See 2to3 - 自动将 Python 2 代码转为 Python 3 代码 for more on this tool.) Run the

    result of the translation under Python 3.0. Manually fix up any

    remaining issues, fixing problems until all tests pass again.

It is not recommended to try to write source code that runs unchanged

under both Python 2.6 and 3.0; you'd have to use a very contorted

coding style, e.g. avoiding print statements, metaclasses,

and much more. If you are maintaining a library that needs to support

both Python 2.6 and Python 3.0, the best approach is to modify step 3

above by editing the 2.6 version of the source code and running the

2to3 translator again, rather than editing the 3.0 version of the

source code.

For porting C extensions to Python 3.0, please see 将扩展模块移植到 Python 3.

以上是 Python3.0有什么新变化 的全部内容, 来源链接: utcz.com/z/508498.html

回到顶部