### 导航
- [索引](../genindex.xhtml "总目录")
- [模块](../py-modindex.xhtml "Python 模块索引") |
- [下一页](getpass.xhtml "getpass --- 便携式密码输入工具") |
- [上一页](logging.config.xhtml "logging.config --- 日志记录配置") |
- ![](https://box.kancloud.cn/a721fc7ec672275e257bbbfde49a4d4e_16x16.png)
- [Python](https://www.python.org/) »
- zh\_CN 3.7.3 [文档](../index.xhtml) »
- [Python 标准库](index.xhtml) »
- [通用操作系统服务](allos.xhtml) »
- $('.inline-search').show(0); |
# [`logging.handlers`](#module-logging.handlers "logging.handlers: Handlers for the logging module.") --- Logging handlers
**源代码:** [Lib/logging/handlers.py](https://github.com/python/cpython/tree/3.7/Lib/logging/handlers.py) \[https://github.com/python/cpython/tree/3.7/Lib/logging/handlers.py\]
Important
此页面仅包含参考信息。有关教程,请参阅
- [Basic Tutorial](../howto/logging.xhtml#logging-basic-tutorial)
- [Advanced Tutorial](../howto/logging.xhtml#logging-advanced-tutorial)
- [Logging Cookbook](../howto/logging-cookbook.xhtml#logging-cookbook)
- - - - - -
The following useful handlers are provided in the package. Note that three of the handlers ([`StreamHandler`](#logging.StreamHandler "logging.StreamHandler"), [`FileHandler`](#logging.FileHandler "logging.FileHandler") and [`NullHandler`](#logging.NullHandler "logging.NullHandler")) are actually defined in the [`logging`](logging.xhtml#module-logging "logging: Flexible event logging system for applications.") module itself, but have been documented here along with the other handlers.
## StreamHandler
The [`StreamHandler`](#logging.StreamHandler "logging.StreamHandler") class, located in the core [`logging`](logging.xhtml#module-logging "logging: Flexible event logging system for applications.") package, sends logging output to streams such as *sys.stdout*, *sys.stderr* or any file-like object (or, more precisely, any object which supports `write()`and `flush()` methods).
*class* `logging.``StreamHandler`(*stream=None*)Returns a new instance of the [`StreamHandler`](#logging.StreamHandler "logging.StreamHandler") class. If *stream* is specified, the instance will use it for logging output; otherwise, *sys.stderr*will be used.
`emit`(*record*)If a formatter is specified, it is used to format the record. The record is then written to the stream with a terminator. If exception information is present, it is formatted using [`traceback.print_exception()`](traceback.xhtml#traceback.print_exception "traceback.print_exception") and appended to the stream.
`flush`()Flushes the stream by calling its [`flush()`](#logging.StreamHandler.flush "logging.StreamHandler.flush") method. Note that the `close()` method is inherited from [`Handler`](logging.xhtml#logging.Handler "logging.Handler") and so does no output, so an explicit [`flush()`](#logging.StreamHandler.flush "logging.StreamHandler.flush") call may be needed at times.
`setStream`(*stream*)Sets the instance's stream to the specified value, if it is different. The old stream is flushed before the new stream is set.
参数**stream** -- The stream that the handler should use.
返回the old stream, if the stream was changed, or *None* if it wasn't.
3\.7 新版功能.
在 3.2 版更改: The `StreamHandler` class now has a `terminator` attribute, default value `'\n'`, which is used as the terminator when writing a formatted record to a stream. If you don't want this newline termination, you can set the handler instance's `terminator` attribute to the empty string. In earlier versions, the terminator was hardcoded as `'\n'`.
## FileHandler
The [`FileHandler`](#logging.FileHandler "logging.FileHandler") class, located in the core [`logging`](logging.xhtml#module-logging "logging: Flexible event logging system for applications.") package, sends logging output to a disk file. It inherits the output functionality from [`StreamHandler`](#logging.StreamHandler "logging.StreamHandler").
*class* `logging.``FileHandler`(*filename*, *mode='a'*, *encoding=None*, *delay=False*)Returns a new instance of the [`FileHandler`](#logging.FileHandler "logging.FileHandler") class. The specified file is opened and used as the stream for logging. If *mode* is not specified, `'a'` is used. If *encoding* is not `None`, it is used to open the file with that encoding. If *delay* is true, then file opening is deferred until the first call to [`emit()`](#logging.FileHandler.emit "logging.FileHandler.emit"). By default, the file grows indefinitely.
在 3.6 版更改: As well as string values, [`Path`](pathlib.xhtml#pathlib.Path "pathlib.Path") objects are also accepted for the *filename* argument.
`close`()Closes the file.
`emit`(*record*)Outputs the record to the file.
## NullHandler
3\.1 新版功能.
The [`NullHandler`](#logging.NullHandler "logging.NullHandler") class, located in the core [`logging`](logging.xhtml#module-logging "logging: Flexible event logging system for applications.") package, does not do any formatting or output. It is essentially a 'no-op' handler for use by library developers.
*class* `logging.``NullHandler`Returns a new instance of the [`NullHandler`](#logging.NullHandler "logging.NullHandler") class.
`emit`(*record*)This method does nothing.
`handle`(*record*)This method does nothing.
`createLock`()This method returns `None` for the lock, since there is no underlying I/O to which access needs to be serialized.
See [配置库的日志记录](../howto/logging.xhtml#library-config) for more information on how to use [`NullHandler`](#logging.NullHandler "logging.NullHandler").
## WatchedFileHandler
The [`WatchedFileHandler`](#logging.handlers.WatchedFileHandler "logging.handlers.WatchedFileHandler") class, located in the [`logging.handlers`](#module-logging.handlers "logging.handlers: Handlers for the logging module.")module, is a `FileHandler` which watches the file it is logging to. If the file changes, it is closed and reopened using the file name.
A file change can happen because of usage of programs such as *newsyslog* and *logrotate* which perform log file rotation. This handler, intended for use under Unix/Linux, watches the file to see if it has changed since the last emit. (A file is deemed to have changed if its device or inode have changed.) If the file has changed, the old file stream is closed, and the file opened to get a new stream.
This handler is not appropriate for use under Windows, because under Windows open log files cannot be moved or renamed - logging opens the files with exclusive locks - and so there is no need for such a handler. Furthermore, *ST\_INO* is not supported under Windows; [`stat()`](os.xhtml#os.stat "os.stat") always returns zero for this value.
*class* `logging.handlers.``WatchedFileHandler`(*filename*, *mode='a'*, *encoding=None*, *delay=False*)Returns a new instance of the [`WatchedFileHandler`](#logging.handlers.WatchedFileHandler "logging.handlers.WatchedFileHandler") class. The specified file is opened and used as the stream for logging. If *mode* is not specified, `'a'` is used. If *encoding* is not `None`, it is used to open the file with that encoding. If *delay* is true, then file opening is deferred until the first call to [`emit()`](#logging.handlers.WatchedFileHandler.emit "logging.handlers.WatchedFileHandler.emit"). By default, the file grows indefinitely.
在 3.6 版更改: As well as string values, [`Path`](pathlib.xhtml#pathlib.Path "pathlib.Path") objects are also accepted for the *filename* argument.
`reopenIfNeeded`()Checks to see if the file has changed. If it has, the existing stream is flushed and closed and the file opened again, typically as a precursor to outputting the record to the file.
3\.6 新版功能.
`emit`(*record*)Outputs the record to the file, but first calls [`reopenIfNeeded()`](#logging.handlers.WatchedFileHandler.reopenIfNeeded "logging.handlers.WatchedFileHandler.reopenIfNeeded") to reopen the file if it has changed.
## BaseRotatingHandler
The [`BaseRotatingHandler`](#logging.handlers.BaseRotatingHandler "logging.handlers.BaseRotatingHandler") class, located in the [`logging.handlers`](#module-logging.handlers "logging.handlers: Handlers for the logging module.")module, is the base class for the rotating file handlers, [`RotatingFileHandler`](#logging.handlers.RotatingFileHandler "logging.handlers.RotatingFileHandler") and [`TimedRotatingFileHandler`](#logging.handlers.TimedRotatingFileHandler "logging.handlers.TimedRotatingFileHandler"). You should not need to instantiate this class, but it has attributes and methods you may need to override.
*class* `logging.handlers.``BaseRotatingHandler`(*filename*, *mode*, *encoding=None*, *delay=False*)The parameters are as for `FileHandler`. The attributes are:
`namer`If this attribute is set to a callable, the [`rotation_filename()`](#logging.handlers.BaseRotatingHandler.rotation_filename "logging.handlers.BaseRotatingHandler.rotation_filename")method delegates to this callable. The parameters passed to the callable are those passed to [`rotation_filename()`](#logging.handlers.BaseRotatingHandler.rotation_filename "logging.handlers.BaseRotatingHandler.rotation_filename").
注解
The namer function is called quite a few times during rollover, so it should be as simple and as fast as possible. It should also return the same output every time for a given input, otherwise the rollover behaviour may not work as expected.
3\.3 新版功能.
`rotator`If this attribute is set to a callable, the [`rotate()`](#logging.handlers.BaseRotatingHandler.rotate "logging.handlers.BaseRotatingHandler.rotate") method delegates to this callable. The parameters passed to the callable are those passed to [`rotate()`](#logging.handlers.BaseRotatingHandler.rotate "logging.handlers.BaseRotatingHandler.rotate").
3\.3 新版功能.
`rotation_filename`(*default\_name*)Modify the filename of a log file when rotating.
This is provided so that a custom filename can be provided.
The default implementation calls the 'namer' attribute of the handler, if it's callable, passing the default name to it. If the attribute isn't callable (the default is `None`), the name is returned unchanged.
参数**default\_name** -- The default name for the log file.
3\.3 新版功能.
`rotate`(*source*, *dest*)When rotating, rotate the current log.
The default implementation calls the 'rotator' attribute of the handler, if it's callable, passing the source and dest arguments to it. If the attribute isn't callable (the default is `None`), the source is simply renamed to the destination.
参数- **source** -- The source filename. This is normally the base filename, e.g. 'test.log'.
- **dest** -- The destination filename. This is normally what the source is rotated to, e.g. 'test.log.1'.
3\.3 新版功能.
The reason the attributes exist is to save you having to subclass - you can use the same callables for instances of [`RotatingFileHandler`](#logging.handlers.RotatingFileHandler "logging.handlers.RotatingFileHandler") and [`TimedRotatingFileHandler`](#logging.handlers.TimedRotatingFileHandler "logging.handlers.TimedRotatingFileHandler"). If either the namer or rotator callable raises an exception, this will be handled in the same way as any other exception during an `emit()` call, i.e. via the `handleError()` method of the handler.
If you need to make more significant changes to rotation processing, you can override the methods.
For an example, see [Using a rotator and namer to customize log rotation processing](../howto/logging-cookbook.xhtml#cookbook-rotator-namer).
## RotatingFileHandler
The [`RotatingFileHandler`](#logging.handlers.RotatingFileHandler "logging.handlers.RotatingFileHandler") class, located in the [`logging.handlers`](#module-logging.handlers "logging.handlers: Handlers for the logging module.")module, supports rotation of disk log files.
*class* `logging.handlers.``RotatingFileHandler`(*filename*, *mode='a'*, *maxBytes=0*, *backupCount=0*, *encoding=None*, *delay=False*)Returns a new instance of the [`RotatingFileHandler`](#logging.handlers.RotatingFileHandler "logging.handlers.RotatingFileHandler") class. The specified file is opened and used as the stream for logging. If *mode* is not specified, `'a'` is used. If *encoding* is not `None`, it is used to open the file with that encoding. If *delay* is true, then file opening is deferred until the first call to [`emit()`](#logging.handlers.RotatingFileHandler.emit "logging.handlers.RotatingFileHandler.emit"). By default, the file grows indefinitely.
You can use the *maxBytes* and *backupCount* values to allow the file to *rollover* at a predetermined size. When the size is about to be exceeded, the file is closed and a new file is silently opened for output. Rollover occurs whenever the current log file is nearly *maxBytes* in length; but if either of *maxBytes* or *backupCount* is zero, rollover never occurs, so you generally want to set *backupCount* to at least 1, and have a non-zero *maxBytes*. When *backupCount* is non-zero, the system will save old log files by appending the extensions '.1', '.2' etc., to the filename. For example, with a *backupCount*of 5 and a base file name of `app.log`, you would get `app.log`, `app.log.1`, `app.log.2`, up to `app.log.5`. The file being written to is always `app.log`. When this file is filled, it is closed and renamed to `app.log.1`, and if files `app.log.1`, `app.log.2`, etc. exist, then they are renamed to `app.log.2`, `app.log.3` etc. respectively.
在 3.6 版更改: As well as string values, [`Path`](pathlib.xhtml#pathlib.Path "pathlib.Path") objects are also accepted for the *filename* argument.
`doRollover`()Does a rollover, as described above.
`emit`(*record*)Outputs the record to the file, catering for rollover as described previously.
## TimedRotatingFileHandler
The [`TimedRotatingFileHandler`](#logging.handlers.TimedRotatingFileHandler "logging.handlers.TimedRotatingFileHandler") class, located in the [`logging.handlers`](#module-logging.handlers "logging.handlers: Handlers for the logging module.") module, supports rotation of disk log files at certain timed intervals.
*class* `logging.handlers.``TimedRotatingFileHandler`(*filename*, *when='h'*, *interval=1*, *backupCount=0*, *encoding=None*, *delay=False*, *utc=False*, *atTime=None*)Returns a new instance of the [`TimedRotatingFileHandler`](#logging.handlers.TimedRotatingFileHandler "logging.handlers.TimedRotatingFileHandler") class. The specified file is opened and used as the stream for logging. On rotating it also sets the filename suffix. Rotating happens based on the product of *when* and *interval*.
You can use the *when* to specify the type of *interval*. The list of possible values is below. Note that they are not case sensitive.
值
间隔类型
如果/如何使用 *atTime*
`'S'`
秒
忽略
`'M'`
分钟
忽略
`'H'`
小时
忽略
`'D'`
天
忽略
`'W0'-'W6'`
工作日(0=星期一)
Used to compute initial rollover time
`'midnight'`
Roll over at midnight, if *atTime* not specified, else at time *atTime*
Used to compute initial rollover time
When using weekday-based rotation, specify 'W0' for Monday, 'W1' for Tuesday, and so on up to 'W6' for Sunday. In this case, the value passed for *interval* isn't used.
The system will save old log files by appending extensions to the filename. The extensions are date-and-time based, using the strftime format `%Y-%m-%d_%H-%M-%S` or a leading portion thereof, depending on the rollover interval.
When computing the next rollover time for the first time (when the handler is created), the last modification time of an existing log file, or else the current time, is used to compute when the next rotation will occur.
If the *utc* argument is true, times in UTC will be used; otherwise local time is used.
If *backupCount* is nonzero, at most *backupCount* files will be kept, and if more would be created when rollover occurs, the oldest one is deleted. The deletion logic uses the interval to determine which files to delete, so changing the interval may leave old files lying around.
If *delay* is true, then file opening is deferred until the first call to [`emit()`](#logging.handlers.TimedRotatingFileHandler.emit "logging.handlers.TimedRotatingFileHandler.emit").
If *atTime* is not `None`, it must be a `datetime.time` instance which specifies the time of day when rollover occurs, for the cases where rollover is set to happen "at midnight" or "on a particular weekday". Note that in these cases, the *atTime* value is effectively used to compute the *initial*rollover, and subsequent rollovers would be calculated via the normal interval calculation.
注解
Calculation of the initial rollover time is done when the handler is initialised. Calculation of subsequent rollover times is done only when rollover occurs, and rollover occurs only when emitting output. If this is not kept in mind, it might lead to some confusion. For example, if an interval of "every minute" is set, that does not mean you will always see log files with times (in the filename) separated by a minute; if, during application execution, logging output is generated more frequently than once a minute, *then* you can expect to see log files with times separated by a minute. If, on the other hand, logging messages are only output once every five minutes (say), then there will be gaps in the file times corresponding to the minutes where no output (and hence no rollover) occurred.
在 3.4 版更改: *atTime* parameter was added.
在 3.6 版更改: As well as string values, [`Path`](pathlib.xhtml#pathlib.Path "pathlib.Path") objects are also accepted for the *filename* argument.
`doRollover`()Does a rollover, as described above.
`emit`(*record*)Outputs the record to the file, catering for rollover as described above.
## SocketHandler
The [`SocketHandler`](#logging.handlers.SocketHandler "logging.handlers.SocketHandler") class, located in the [`logging.handlers`](#module-logging.handlers "logging.handlers: Handlers for the logging module.") module, sends logging output to a network socket. The base class uses a TCP socket.
*class* `logging.handlers.``SocketHandler`(*host*, *port*)Returns a new instance of the [`SocketHandler`](#logging.handlers.SocketHandler "logging.handlers.SocketHandler") class intended to communicate with a remote machine whose address is given by *host* and *port*.
在 3.4 版更改: If `port` is specified as `None`, a Unix domain socket is created using the value in `host` - otherwise, a TCP socket is created.
`close`()Closes the socket.
`emit`()Pickles the record's attribute dictionary and writes it to the socket in binary format. If there is an error with the socket, silently drops the packet. If the connection was previously lost, re-establishes the connection. To unpickle the record at the receiving end into a [`LogRecord`](logging.xhtml#logging.LogRecord "logging.LogRecord"), use the [`makeLogRecord()`](logging.xhtml#logging.makeLogRecord "logging.makeLogRecord")function.
`handleError`()Handles an error which has occurred during [`emit()`](#logging.handlers.SocketHandler.emit "logging.handlers.SocketHandler.emit"). The most likely cause is a lost connection. Closes the socket so that we can retry on the next event.
`makeSocket`()This is a factory method which allows subclasses to define the precise type of socket they want. The default implementation creates a TCP socket ([`socket.SOCK_STREAM`](socket.xhtml#socket.SOCK_STREAM "socket.SOCK_STREAM")).
`makePickle`(*record*)Pickles the record's attribute dictionary in binary format with a length prefix, and returns it ready for transmission across the socket.
Note that pickles aren't completely secure. If you are concerned about security, you may want to override this method to implement a more secure mechanism. For example, you can sign pickles using HMAC and then verify them on the receiving end, or alternatively you can disable unpickling of global objects on the receiving end.
`send`(*packet*)Send a pickled string *packet* to the socket. This function allows for partial sends which can happen when the network is busy.
`createSocket`()Tries to create a socket; on failure, uses an exponential back-off algorithm. On initial failure, the handler will drop the message it was trying to send. When subsequent messages are handled by the same instance, it will not try connecting until some time has passed. The default parameters are such that the initial delay is one second, and if after that delay the connection still can't be made, the handler will double the delay each time up to a maximum of 30 seconds.
This behaviour is controlled by the following handler attributes:
- `retryStart` (initial delay, defaulting to 1.0 seconds).
- `retryFactor` (multiplier, defaulting to 2.0).
- `retryMax` (maximum delay, defaulting to 30.0 seconds).
This means that if the remote listener starts up *after* the handler has been used, you could lose messages (since the handler won't even attempt a connection until the delay has elapsed, but just silently drop messages during the delay period).
## DatagramHandler
The [`DatagramHandler`](#logging.handlers.DatagramHandler "logging.handlers.DatagramHandler") class, located in the [`logging.handlers`](#module-logging.handlers "logging.handlers: Handlers for the logging module.")module, inherits from [`SocketHandler`](#logging.handlers.SocketHandler "logging.handlers.SocketHandler") to support sending logging messages over UDP sockets.
*class* `logging.handlers.``DatagramHandler`(*host*, *port*)Returns a new instance of the [`DatagramHandler`](#logging.handlers.DatagramHandler "logging.handlers.DatagramHandler") class intended to communicate with a remote machine whose address is given by *host* and *port*.
在 3.4 版更改: If `port` is specified as `None`, a Unix domain socket is created using the value in `host` - otherwise, a UDP socket is created.
`emit`()Pickles the record's attribute dictionary and writes it to the socket in binary format. If there is an error with the socket, silently drops the packet. To unpickle the record at the receiving end into a [`LogRecord`](logging.xhtml#logging.LogRecord "logging.LogRecord"), use the [`makeLogRecord()`](logging.xhtml#logging.makeLogRecord "logging.makeLogRecord")function.
`makeSocket`()The factory method of [`SocketHandler`](#logging.handlers.SocketHandler "logging.handlers.SocketHandler") is here overridden to create a UDP socket ([`socket.SOCK_DGRAM`](socket.xhtml#socket.SOCK_DGRAM "socket.SOCK_DGRAM")).
`send`(*s*)Send a pickled string to a socket.
## SysLogHandler
The [`SysLogHandler`](#logging.handlers.SysLogHandler "logging.handlers.SysLogHandler") class, located in the [`logging.handlers`](#module-logging.handlers "logging.handlers: Handlers for the logging module.") module, supports sending logging messages to a remote or local Unix syslog.
*class* `logging.handlers.``SysLogHandler`(*address=('localhost'*, *SYSLOG\_UDP\_PORT)*, *facility=LOG\_USER*, *socktype=socket.SOCK\_DGRAM*)Returns a new instance of the [`SysLogHandler`](#logging.handlers.SysLogHandler "logging.handlers.SysLogHandler") class intended to communicate with a remote Unix machine whose address is given by *address* in the form of a `(host, port)` tuple. If *address* is not specified, `('localhost', 514)` is used. The address is used to open a socket. An alternative to providing a `(host, port)` tuple is providing an address as a string, for example '/dev/log'. In this case, a Unix domain socket is used to send the message to the syslog. If *facility* is not specified, `LOG_USER` is used. The type of socket opened depends on the *socktype* argument, which defaults to [`socket.SOCK_DGRAM`](socket.xhtml#socket.SOCK_DGRAM "socket.SOCK_DGRAM") and thus opens a UDP socket. To open a TCP socket (for use with the newer syslog daemons such as rsyslog), specify a value of [`socket.SOCK_STREAM`](socket.xhtml#socket.SOCK_STREAM "socket.SOCK_STREAM").
Note that if your server is not listening on UDP port 514, [`SysLogHandler`](#logging.handlers.SysLogHandler "logging.handlers.SysLogHandler") may appear not to work. In that case, check what address you should be using for a domain socket - it's system dependent. For example, on Linux it's usually '/dev/log' but on OS/X it's '/var/run/syslog'. You'll need to check your platform and use the appropriate address (you may need to do this check at runtime if your application needs to run on several platforms). On Windows, you pretty much have to use the UDP option.
在 3.2 版更改: *socktype* was added.
`close`()Closes the socket to the remote host.
`emit`(*record*)The record is formatted, and then sent to the syslog server. If exception information is present, it is *not* sent to the server.
在 3.2.1 版更改: (See: [bpo-12168](https://bugs.python.org/issue12168) \[https://bugs.python.org/issue12168\].) In earlier versions, the message sent to the syslog daemons was always terminated with a NUL byte, because early versions of these daemons expected a NUL terminated message - even though it's not in the relevant specification ([**RFC 5424**](https://tools.ietf.org/html/rfc5424.html) \[https://tools.ietf.org/html/rfc5424.html\]). More recent versions of these daemons don't expect the NUL byte but strip it off if it's there, and even more recent daemons (which adhere more closely to RFC 5424) pass the NUL byte on as part of the message.
To enable easier handling of syslog messages in the face of all these differing daemon behaviours, the appending of the NUL byte has been made configurable, through the use of a class-level attribute, `append_nul`. This defaults to `True` (preserving the existing behaviour) but can be set to `False` on a `SysLogHandler` instance in order for that instance to *not* append the NUL terminator.
在 3.3 版更改: (See: [bpo-12419](https://bugs.python.org/issue12419) \[https://bugs.python.org/issue12419\].) In earlier versions, there was no facility for an "ident" or "tag" prefix to identify the source of the message. This can now be specified using a class-level attribute, defaulting to `""` to preserve existing behaviour, but which can be overridden on a `SysLogHandler` instance in order for that instance to prepend the ident to every message handled. Note that the provided ident must be text, not bytes, and is prepended to the message exactly as is.
`encodePriority`(*facility*, *priority*)Encodes the facility and priority into an integer. You can pass in strings or integers - if strings are passed, internal mapping dictionaries are used to convert them to integers.
The symbolic `LOG_` values are defined in [`SysLogHandler`](#logging.handlers.SysLogHandler "logging.handlers.SysLogHandler") and mirror the values defined in the `sys/syslog.h` header file.
**优先级**
名称(字符串)
符号值
`alert`
LOG\_ALERT
`crit` 或 `critical`
LOG\_CRIT
`debug`
LOG\_DEBUG
`emerg` 或 `panic`
LOG\_EMERG
`err` 或 `error`
LOG\_ERR
`info`
LOG\_INFO
`notice`
LOG\_NOTICE
`warn` 或 `warning`
LOG\_WARNING
**设备**
名称(字符串)
符号值
`auth`
LOG\_AUTH
`authpriv`
LOG\_AUTHPRIV
`cron`
LOG\_CRON
`daemon`
LOG\_DAEMON
`ftp`
LOG\_FTP
`kern`
LOG\_KERN
`lpr`
LOG\_LPR
`mail`
LOG\_MAIL
`news`
LOG\_NEWS
`syslog`
LOG\_SYSLOG
`user`
LOG\_USER
`uucp`
LOG\_UUCP
`local0`
LOG\_LOCAL0
`local1`
LOG\_LOCAL1
`local2`
LOG\_LOCAL2
`local3`
LOG\_LOCAL3
`local4`
LOG\_LOCAL4
`local5`
LOG\_LOCAL5
`local6`
LOG\_LOCAL6
`local7`
LOG\_LOCAL7
`mapPriority`(*levelname*)Maps a logging level name to a syslog priority name. You may need to override this if you are using custom levels, or if the default algorithm is not suitable for your needs. The default algorithm maps `DEBUG`, `INFO`, `WARNING`, `ERROR` and `CRITICAL` to the equivalent syslog names, and all other level names to 'warning'.
## NTEventLogHandler
The [`NTEventLogHandler`](#logging.handlers.NTEventLogHandler "logging.handlers.NTEventLogHandler") class, located in the [`logging.handlers`](#module-logging.handlers "logging.handlers: Handlers for the logging module.")module, supports sending logging messages to a local Windows NT, Windows 2000 or Windows XP event log. Before you can use it, you need Mark Hammond's Win32 extensions for Python installed.
*class* `logging.handlers.``NTEventLogHandler`(*appname*, *dllname=None*, *logtype='Application'*)Returns a new instance of the [`NTEventLogHandler`](#logging.handlers.NTEventLogHandler "logging.handlers.NTEventLogHandler") class. The *appname* is used to define the application name as it appears in the event log. An appropriate registry entry is created using this name. The *dllname* should give the fully qualified pathname of a .dll or .exe which contains message definitions to hold in the log (if not specified, `'win32service.pyd'` is used - this is installed with the Win32 extensions and contains some basic placeholder message definitions. Note that use of these placeholders will make your event logs big, as the entire message source is held in the log. If you want slimmer logs, you have to pass in the name of your own .dll or .exe which contains the message definitions you want to use in the event log). The *logtype* is one of `'Application'`, `'System'` or `'Security'`, and defaults to `'Application'`.
`close`()At this point, you can remove the application name from the registry as a source of event log entries. However, if you do this, you will not be able to see the events as you intended in the Event Log Viewer - it needs to be able to access the registry to get the .dll name. The current version does not do this.
`emit`(*record*)Determines the message ID, event category and event type, and then logs the message in the NT event log.
`getEventCategory`(*record*)Returns the event category for the record. Override this if you want to specify your own categories. This version returns 0.
`getEventType`(*record*)Returns the event type for the record. Override this if you want to specify your own types. This version does a mapping using the handler's typemap attribute, which is set up in [`__init__()`](../reference/datamodel.xhtml#object.__init__ "object.__init__") to a dictionary which contains mappings for `DEBUG`, `INFO`, `WARNING`, `ERROR` and `CRITICAL`. If you are using your own levels, you will either need to override this method or place a suitable dictionary in the handler's *typemap* attribute.
`getMessageID`(*record*)Returns the message ID for the record. If you are using your own messages, you could do this by having the *msg* passed to the logger being an ID rather than a format string. Then, in here, you could use a dictionary lookup to get the message ID. This version returns 1, which is the base message ID in `win32service.pyd`.
## SMTPHandler
The [`SMTPHandler`](#logging.handlers.SMTPHandler "logging.handlers.SMTPHandler") class, located in the [`logging.handlers`](#module-logging.handlers "logging.handlers: Handlers for the logging module.") module, supports sending logging messages to an email address via SMTP.
*class* `logging.handlers.``SMTPHandler`(*mailhost*, *fromaddr*, *toaddrs*, *subject*, *credentials=None*, *secure=None*, *timeout=1.0*)Returns a new instance of the [`SMTPHandler`](#logging.handlers.SMTPHandler "logging.handlers.SMTPHandler") class. The instance is initialized with the from and to addresses and subject line of the email. The *toaddrs* should be a list of strings. To specify a non-standard SMTP port, use the (host, port) tuple format for the *mailhost* argument. If you use a string, the standard SMTP port is used. If your SMTP server requires authentication, you can specify a (username, password) tuple for the *credentials* argument.
To specify the use of a secure protocol (TLS), pass in a tuple to the *secure* argument. This will only be used when authentication credentials are supplied. The tuple should be either an empty tuple, or a single-value tuple with the name of a keyfile, or a 2-value tuple with the names of the keyfile and certificate file. (This tuple is passed to the [`smtplib.SMTP.starttls()`](smtplib.xhtml#smtplib.SMTP.starttls "smtplib.SMTP.starttls") method.)
A timeout can be specified for communication with the SMTP server using the *timeout* argument.
3\.3 新版功能: The *timeout* argument was added.
`emit`(*record*)Formats the record and sends it to the specified addressees.
`getSubject`(*record*)If you want to specify a subject line which is record-dependent, override this method.
## MemoryHandler
The [`MemoryHandler`](#logging.handlers.MemoryHandler "logging.handlers.MemoryHandler") class, located in the [`logging.handlers`](#module-logging.handlers "logging.handlers: Handlers for the logging module.") module, supports buffering of logging records in memory, periodically flushing them to a *target* handler. Flushing occurs whenever the buffer is full, or when an event of a certain severity or greater is seen.
[`MemoryHandler`](#logging.handlers.MemoryHandler "logging.handlers.MemoryHandler") is a subclass of the more general [`BufferingHandler`](#logging.handlers.BufferingHandler "logging.handlers.BufferingHandler"), which is an abstract class. This buffers logging records in memory. Whenever each record is added to the buffer, a check is made by calling `shouldFlush()` to see if the buffer should be flushed. If it should, then `flush()` is expected to do the flushing.
*class* `logging.handlers.``BufferingHandler`(*capacity*)Initializes the handler with a buffer of the specified capacity.
`emit`(*record*)Appends the record to the buffer. If [`shouldFlush()`](#logging.handlers.BufferingHandler.shouldFlush "logging.handlers.BufferingHandler.shouldFlush") returns true, calls [`flush()`](#logging.handlers.BufferingHandler.flush "logging.handlers.BufferingHandler.flush") to process the buffer.
`flush`()You can override this to implement custom flushing behavior. This version just zaps the buffer to empty.
`shouldFlush`(*record*)Returns true if the buffer is up to capacity. This method can be overridden to implement custom flushing strategies.
*class* `logging.handlers.``MemoryHandler`(*capacity*, *flushLevel=ERROR*, *target=None*, *flushOnClose=True*)Returns a new instance of the [`MemoryHandler`](#logging.handlers.MemoryHandler "logging.handlers.MemoryHandler") class. The instance is initialized with a buffer size of *capacity*. If *flushLevel* is not specified, `ERROR` is used. If no *target* is specified, the target will need to be set using [`setTarget()`](#logging.handlers.MemoryHandler.setTarget "logging.handlers.MemoryHandler.setTarget") before this handler does anything useful. If *flushOnClose* is specified as `False`, then the buffer is *not* flushed when the handler is closed. If not specified or specified as `True`, the previous behaviour of flushing the buffer will occur when the handler is closed.
在 3.6 版更改: The *flushOnClose* parameter was added.
`close`()Calls [`flush()`](#logging.handlers.MemoryHandler.flush "logging.handlers.MemoryHandler.flush"), sets the target to `None` and clears the buffer.
`flush`()For a [`MemoryHandler`](#logging.handlers.MemoryHandler "logging.handlers.MemoryHandler"), flushing means just sending the buffered records to the target, if there is one. The buffer is also cleared when this happens. Override if you want different behavior.
`setTarget`(*target*)Sets the target handler for this handler.
`shouldFlush`(*record*)Checks for buffer full or a record at the *flushLevel* or higher.
## HTTPHandler
The [`HTTPHandler`](#logging.handlers.HTTPHandler "logging.handlers.HTTPHandler") class, located in the [`logging.handlers`](#module-logging.handlers "logging.handlers: Handlers for the logging module.") module, supports sending logging messages to a Web server, using either `GET` or `POST` semantics.
*class* `logging.handlers.``HTTPHandler`(*host*, *url*, *method='GET'*, *secure=False*, *credentials=None*, *context=None*)Returns a new instance of the [`HTTPHandler`](#logging.handlers.HTTPHandler "logging.handlers.HTTPHandler") class. The *host* can be of the form `host:port`, should you need to use a specific port number. If no *method* is specified, `GET` is used. If *secure* is true, a HTTPS connection will be used. The *context* parameter may be set to a [`ssl.SSLContext`](ssl.xhtml#ssl.SSLContext "ssl.SSLContext") instance to configure the SSL settings used for the HTTPS connection. If *credentials* is specified, it should be a 2-tuple consisting of userid and password, which will be placed in a HTTP 'Authorization' header using Basic authentication. If you specify credentials, you should also specify secure=True so that your userid and password are not passed in cleartext across the wire.
在 3.5 版更改: The *context* parameter was added.
`mapLogRecord`(*record*)Provides a dictionary, based on `record`, which is to be URL-encoded and sent to the web server. The default implementation just returns `record.__dict__`. This method can be overridden if e.g. only a subset of [`LogRecord`](logging.xhtml#logging.LogRecord "logging.LogRecord") is to be sent to the web server, or if more specific customization of what's sent to the server is required.
`emit`(*record*)Sends the record to the Web server as a URL-encoded dictionary. The [`mapLogRecord()`](#logging.handlers.HTTPHandler.mapLogRecord "logging.handlers.HTTPHandler.mapLogRecord") method is used to convert the record to the dictionary to be sent.
注解
Since preparing a record for sending it to a Web server is not the same as a generic formatting operation, using [`setFormatter()`](logging.xhtml#logging.Handler.setFormatter "logging.Handler.setFormatter") to specify a [`Formatter`](logging.xhtml#logging.Formatter "logging.Formatter") for a [`HTTPHandler`](#logging.handlers.HTTPHandler "logging.handlers.HTTPHandler") has no effect. Instead of calling [`format()`](logging.xhtml#logging.Handler.format "logging.Handler.format"), this handler calls [`mapLogRecord()`](#logging.handlers.HTTPHandler.mapLogRecord "logging.handlers.HTTPHandler.mapLogRecord") and then [`urllib.parse.urlencode()`](urllib.parse.xhtml#urllib.parse.urlencode "urllib.parse.urlencode") to encode the dictionary in a form suitable for sending to a Web server.
## QueueHandler
3\.2 新版功能.
The [`QueueHandler`](#logging.handlers.QueueHandler "logging.handlers.QueueHandler") class, located in the [`logging.handlers`](#module-logging.handlers "logging.handlers: Handlers for the logging module.") module, supports sending logging messages to a queue, such as those implemented in the [`queue`](queue.xhtml#module-queue "queue: A synchronized queue class.") or [`multiprocessing`](multiprocessing.xhtml#module-multiprocessing "multiprocessing: Process-based parallelism.") modules.
Along with the [`QueueListener`](#logging.handlers.QueueListener "logging.handlers.QueueListener") class, [`QueueHandler`](#logging.handlers.QueueHandler "logging.handlers.QueueHandler") can be used to let handlers do their work on a separate thread from the one which does the logging. This is important in Web applications and also other service applications where threads servicing clients need to respond as quickly as possible, while any potentially slow operations (such as sending an email via [`SMTPHandler`](#logging.handlers.SMTPHandler "logging.handlers.SMTPHandler")) are done on a separate thread.
*class* `logging.handlers.``QueueHandler`(*queue*)Returns a new instance of the [`QueueHandler`](#logging.handlers.QueueHandler "logging.handlers.QueueHandler") class. The instance is initialized with the queue to send messages to. The queue can be any queue-like object; it's used as-is by the [`enqueue()`](#logging.handlers.QueueHandler.enqueue "logging.handlers.QueueHandler.enqueue") method, which needs to know how to send messages to it.
`emit`(*record*)Enqueues the result of preparing the LogRecord.
`prepare`(*record*)Prepares a record for queuing. The object returned by this method is enqueued.
The base implementation formats the record to merge the message, arguments, and exception information, if present. It also removes unpickleable items from the record in-place.
You might want to override this method if you want to convert the record to a dict or JSON string, or send a modified copy of the record while leaving the original intact.
`enqueue`(*record*)Enqueues the record on the queue using `put_nowait()`; you may want to override this if you want to use blocking behaviour, or a timeout, or a customized queue implementation.
## QueueListener
3\.2 新版功能.
The [`QueueListener`](#logging.handlers.QueueListener "logging.handlers.QueueListener") class, located in the [`logging.handlers`](#module-logging.handlers "logging.handlers: Handlers for the logging module.")module, supports receiving logging messages from a queue, such as those implemented in the [`queue`](queue.xhtml#module-queue "queue: A synchronized queue class.") or [`multiprocessing`](multiprocessing.xhtml#module-multiprocessing "multiprocessing: Process-based parallelism.") modules. The messages are received from a queue in an internal thread and passed, on the same thread, to one or more handlers for processing. While [`QueueListener`](#logging.handlers.QueueListener "logging.handlers.QueueListener") is not itself a handler, it is documented here because it works hand-in-hand with [`QueueHandler`](#logging.handlers.QueueHandler "logging.handlers.QueueHandler").
Along with the [`QueueHandler`](#logging.handlers.QueueHandler "logging.handlers.QueueHandler") class, [`QueueListener`](#logging.handlers.QueueListener "logging.handlers.QueueListener") can be used to let handlers do their work on a separate thread from the one which does the logging. This is important in Web applications and also other service applications where threads servicing clients need to respond as quickly as possible, while any potentially slow operations (such as sending an email via [`SMTPHandler`](#logging.handlers.SMTPHandler "logging.handlers.SMTPHandler")) are done on a separate thread.
*class* `logging.handlers.``QueueListener`(*queue*, *\*handlers*, *respect\_handler\_level=False*)Returns a new instance of the [`QueueListener`](#logging.handlers.QueueListener "logging.handlers.QueueListener") class. The instance is initialized with the queue to send messages to and a list of handlers which will handle entries placed on the queue. The queue can be any queue-like object; it's passed as-is to the [`dequeue()`](#logging.handlers.QueueListener.dequeue "logging.handlers.QueueListener.dequeue") method, which needs to know how to get messages from it. If `respect_handler_level` is `True`, a handler's level is respected (compared with the level for the message) when deciding whether to pass messages to that handler; otherwise, the behaviour is as in previous Python versions - to always pass each message to each handler.
在 3.5 版更改: The `respect_handler_levels` argument was added.
`dequeue`(*block*)Dequeues a record and return it, optionally blocking.
The base implementation uses `get()`. You may want to override this method if you want to use timeouts or work with custom queue implementations.
`prepare`(*record*)Prepare a record for handling.
This implementation just returns the passed-in record. You may want to override this method if you need to do any custom marshalling or manipulation of the record before passing it to the handlers.
`handle`(*record*)Handle a record.
This just loops through the handlers offering them the record to handle. The actual object passed to the handlers is that which is returned from [`prepare()`](#logging.handlers.QueueListener.prepare "logging.handlers.QueueListener.prepare").
`start`()Starts the listener.
This starts up a background thread to monitor the queue for LogRecords to process.
`stop`()Stops the listener.
This asks the thread to terminate, and then waits for it to do so. Note that if you don't call this before your application exits, there may be some records still left on the queue, which won't be processed.
`enqueue_sentinel`()Writes a sentinel to the queue to tell the listener to quit. This implementation uses `put_nowait()`. You may want to override this method if you want to use timeouts or work with custom queue implementations.
3\.3 新版功能.
参见
模块 [`logging`](logging.xhtml#module-logging "logging: Flexible event logging system for applications.")日志记录模块的 API 参考。
模块 [`logging.config`](logging.config.xhtml#module-logging.config "logging.config: Configuration of the logging module.")日志记录模块的配置 API 。
### 导航
- [索引](../genindex.xhtml "总目录")
- [模块](../py-modindex.xhtml "Python 模块索引") |
- [下一页](getpass.xhtml "getpass --- 便携式密码输入工具") |
- [上一页](logging.config.xhtml "logging.config --- 日志记录配置") |
- ![](https://box.kancloud.cn/a721fc7ec672275e257bbbfde49a4d4e_16x16.png)
- [Python](https://www.python.org/) »
- zh\_CN 3.7.3 [文档](../index.xhtml) »
- [Python 标准库](index.xhtml) »
- [通用操作系统服务](allos.xhtml) »
- $('.inline-search').show(0); |
© [版权所有](../copyright.xhtml) 2001-2019, Python Software Foundation.
Python 软件基金会是一个非盈利组织。 [请捐助。](https://www.python.org/psf/donations/)
最后更新于 5月 21, 2019. [发现了问题](../bugs.xhtml)?
使用[Sphinx](http://sphinx.pocoo.org/)1.8.4 创建。
- Python文档内容
- Python 有什么新变化?
- Python 3.7 有什么新变化
- 摘要 - 发布重点
- 新的特性
- 其他语言特性修改
- 新增模块
- 改进的模块
- C API 的改变
- 构建的改变
- 性能优化
- 其他 CPython 实现的改变
- 已弃用的 Python 行为
- 已弃用的 Python 模块、函数和方法
- 已弃用的 C API 函数和类型
- 平台支持的移除
- API 与特性的移除
- 移除的模块
- Windows 专属的改变
- 移植到 Python 3.7
- Python 3.7.1 中的重要变化
- Python 3.7.2 中的重要变化
- Python 3.6 有什么新变化A
- 摘要 - 发布重点
- 新的特性
- 其他语言特性修改
- 新增模块
- 改进的模块
- 性能优化
- Build and C API Changes
- 其他改进
- 弃用
- 移除
- 移植到Python 3.6
- Python 3.6.2 中的重要变化
- Python 3.6.4 中的重要变化
- Python 3.6.5 中的重要变化
- Python 3.6.7 中的重要变化
- Python 3.5 有什么新变化
- 摘要 - 发布重点
- 新的特性
- 其他语言特性修改
- 新增模块
- 改进的模块
- Other module-level changes
- 性能优化
- Build and C API Changes
- 弃用
- 移除
- Porting to Python 3.5
- Notable changes in Python 3.5.4
- What's New In Python 3.4
- 摘要 - 发布重点
- 新的特性
- 新增模块
- 改进的模块
- CPython Implementation Changes
- 弃用
- 移除
- Porting to Python 3.4
- Changed in 3.4.3
- What's New In Python 3.3
- 摘要 - 发布重点
- PEP 405: Virtual Environments
- PEP 420: Implicit Namespace Packages
- PEP 3118: New memoryview implementation and buffer protocol documentation
- PEP 393: Flexible String Representation
- PEP 397: Python Launcher for Windows
- PEP 3151: Reworking the OS and IO exception hierarchy
- PEP 380: Syntax for Delegating to a Subgenerator
- PEP 409: Suppressing exception context
- PEP 414: Explicit Unicode literals
- PEP 3155: Qualified name for classes and functions
- PEP 412: Key-Sharing Dictionary
- PEP 362: Function Signature Object
- PEP 421: Adding sys.implementation
- Using importlib as the Implementation of Import
- 其他语言特性修改
- A Finer-Grained Import Lock
- Builtin functions and types
- 新增模块
- 改进的模块
- 性能优化
- Build and C API Changes
- 弃用
- Porting to Python 3.3
- What's New In Python 3.2
- PEP 384: Defining a Stable ABI
- PEP 389: Argparse Command Line Parsing Module
- PEP 391: Dictionary Based Configuration for Logging
- PEP 3148: The concurrent.futures module
- PEP 3147: PYC Repository Directories
- PEP 3149: ABI Version Tagged .so Files
- PEP 3333: Python Web Server Gateway Interface v1.0.1
- 其他语言特性修改
- New, Improved, and Deprecated Modules
- 多线程
- 性能优化
- Unicode
- Codecs
- 文档
- IDLE
- Code Repository
- Build and C API Changes
- Porting to Python 3.2
- What's New In Python 3.1
- PEP 372: Ordered Dictionaries
- PEP 378: Format Specifier for Thousands Separator
- 其他语言特性修改
- New, Improved, and Deprecated Modules
- 性能优化
- IDLE
- Build and C API Changes
- Porting to Python 3.1
- What's New In Python 3.0
- Common Stumbling Blocks
- Overview Of Syntax Changes
- Changes Already Present In Python 2.6
- Library Changes
- PEP 3101: A New Approach To String Formatting
- Changes To Exceptions
- Miscellaneous Other Changes
- Build and C API Changes
- 性能
- Porting To Python 3.0
- What's New in Python 2.7
- The Future for Python 2.x
- Changes to the Handling of Deprecation Warnings
- Python 3.1 Features
- PEP 372: Adding an Ordered Dictionary to collections
- PEP 378: Format Specifier for Thousands Separator
- PEP 389: The argparse Module for Parsing Command Lines
- PEP 391: Dictionary-Based Configuration For Logging
- PEP 3106: Dictionary Views
- PEP 3137: The memoryview Object
- 其他语言特性修改
- New and Improved Modules
- Build and C API Changes
- Other Changes and Fixes
- Porting to Python 2.7
- New Features Added to Python 2.7 Maintenance Releases
- Acknowledgements
- Python 2.6 有什么新变化
- Python 3.0
- Changes to the Development Process
- PEP 343: The 'with' statement
- PEP 366: Explicit Relative Imports From a Main Module
- PEP 370: Per-user site-packages Directory
- PEP 371: The multiprocessing Package
- PEP 3101: Advanced String Formatting
- PEP 3105: print As a Function
- PEP 3110: Exception-Handling Changes
- PEP 3112: Byte Literals
- PEP 3116: New I/O Library
- PEP 3118: Revised Buffer Protocol
- PEP 3119: Abstract Base Classes
- PEP 3127: Integer Literal Support and Syntax
- PEP 3129: Class Decorators
- PEP 3141: A Type Hierarchy for Numbers
- 其他语言特性修改
- New and Improved Modules
- Deprecations and Removals
- Build and C API Changes
- Porting to Python 2.6
- Acknowledgements
- What's New in Python 2.5
- PEP 308: Conditional Expressions
- PEP 309: Partial Function Application
- PEP 314: Metadata for Python Software Packages v1.1
- PEP 328: Absolute and Relative Imports
- PEP 338: Executing Modules as Scripts
- PEP 341: Unified try/except/finally
- PEP 342: New Generator Features
- PEP 343: The 'with' statement
- PEP 352: Exceptions as New-Style Classes
- PEP 353: Using ssize_t as the index type
- PEP 357: The 'index' method
- 其他语言特性修改
- New, Improved, and Removed Modules
- Build and C API Changes
- Porting to Python 2.5
- Acknowledgements
- What's New in Python 2.4
- PEP 218: Built-In Set Objects
- PEP 237: Unifying Long Integers and Integers
- PEP 289: Generator Expressions
- PEP 292: Simpler String Substitutions
- PEP 318: Decorators for Functions and Methods
- PEP 322: Reverse Iteration
- PEP 324: New subprocess Module
- PEP 327: Decimal Data Type
- PEP 328: Multi-line Imports
- PEP 331: Locale-Independent Float/String Conversions
- 其他语言特性修改
- New, Improved, and Deprecated Modules
- Build and C API Changes
- Porting to Python 2.4
- Acknowledgements
- What's New in Python 2.3
- PEP 218: A Standard Set Datatype
- PEP 255: Simple Generators
- PEP 263: Source Code Encodings
- PEP 273: Importing Modules from ZIP Archives
- PEP 277: Unicode file name support for Windows NT
- PEP 278: Universal Newline Support
- PEP 279: enumerate()
- PEP 282: The logging Package
- PEP 285: A Boolean Type
- PEP 293: Codec Error Handling Callbacks
- PEP 301: Package Index and Metadata for Distutils
- PEP 302: New Import Hooks
- PEP 305: Comma-separated Files
- PEP 307: Pickle Enhancements
- Extended Slices
- 其他语言特性修改
- New, Improved, and Deprecated Modules
- Pymalloc: A Specialized Object Allocator
- Build and C API Changes
- Other Changes and Fixes
- Porting to Python 2.3
- Acknowledgements
- What's New in Python 2.2
- 概述
- PEPs 252 and 253: Type and Class Changes
- PEP 234: Iterators
- PEP 255: Simple Generators
- PEP 237: Unifying Long Integers and Integers
- PEP 238: Changing the Division Operator
- Unicode Changes
- PEP 227: Nested Scopes
- New and Improved Modules
- Interpreter Changes and Fixes
- Other Changes and Fixes
- Acknowledgements
- What's New in Python 2.1
- 概述
- PEP 227: Nested Scopes
- PEP 236: future Directives
- PEP 207: Rich Comparisons
- PEP 230: Warning Framework
- PEP 229: New Build System
- PEP 205: Weak References
- PEP 232: Function Attributes
- PEP 235: Importing Modules on Case-Insensitive Platforms
- PEP 217: Interactive Display Hook
- PEP 208: New Coercion Model
- PEP 241: Metadata in Python Packages
- New and Improved Modules
- Other Changes and Fixes
- Acknowledgements
- What's New in Python 2.0
- 概述
- What About Python 1.6?
- New Development Process
- Unicode
- 列表推导式
- Augmented Assignment
- 字符串的方法
- Garbage Collection of Cycles
- Other Core Changes
- Porting to 2.0
- Extending/Embedding Changes
- Distutils: Making Modules Easy to Install
- XML Modules
- Module changes
- New modules
- IDLE Improvements
- Deleted and Deprecated Modules
- Acknowledgements
- 更新日志
- Python 下一版
- Python 3.7.3 最终版
- Python 3.7.3 发布候选版 1
- Python 3.7.2 最终版
- Python 3.7.2 发布候选版 1
- Python 3.7.1 最终版
- Python 3.7.1 RC 2版本
- Python 3.7.1 发布候选版 1
- Python 3.7.0 正式版
- Python 3.7.0 release candidate 1
- Python 3.7.0 beta 5
- Python 3.7.0 beta 4
- Python 3.7.0 beta 3
- Python 3.7.0 beta 2
- Python 3.7.0 beta 1
- Python 3.7.0 alpha 4
- Python 3.7.0 alpha 3
- Python 3.7.0 alpha 2
- Python 3.7.0 alpha 1
- Python 3.6.6 final
- Python 3.6.6 RC 1
- Python 3.6.5 final
- Python 3.6.5 release candidate 1
- Python 3.6.4 final
- Python 3.6.4 release candidate 1
- Python 3.6.3 final
- Python 3.6.3 release candidate 1
- Python 3.6.2 final
- Python 3.6.2 release candidate 2
- Python 3.6.2 release candidate 1
- Python 3.6.1 final
- Python 3.6.1 release candidate 1
- Python 3.6.0 final
- Python 3.6.0 release candidate 2
- Python 3.6.0 release candidate 1
- Python 3.6.0 beta 4
- Python 3.6.0 beta 3
- Python 3.6.0 beta 2
- Python 3.6.0 beta 1
- Python 3.6.0 alpha 4
- Python 3.6.0 alpha 3
- Python 3.6.0 alpha 2
- Python 3.6.0 alpha 1
- Python 3.5.5 final
- Python 3.5.5 release candidate 1
- Python 3.5.4 final
- Python 3.5.4 release candidate 1
- Python 3.5.3 final
- Python 3.5.3 release candidate 1
- Python 3.5.2 final
- Python 3.5.2 release candidate 1
- Python 3.5.1 final
- Python 3.5.1 release candidate 1
- Python 3.5.0 final
- Python 3.5.0 release candidate 4
- Python 3.5.0 release candidate 3
- Python 3.5.0 release candidate 2
- Python 3.5.0 release candidate 1
- Python 3.5.0 beta 4
- Python 3.5.0 beta 3
- Python 3.5.0 beta 2
- Python 3.5.0 beta 1
- Python 3.5.0 alpha 4
- Python 3.5.0 alpha 3
- Python 3.5.0 alpha 2
- Python 3.5.0 alpha 1
- Python 教程
- 课前甜点
- 使用 Python 解释器
- 调用解释器
- 解释器的运行环境
- Python 的非正式介绍
- Python 作为计算器使用
- 走向编程的第一步
- 其他流程控制工具
- if 语句
- for 语句
- range() 函数
- break 和 continue 语句,以及循环中的 else 子句
- pass 语句
- 定义函数
- 函数定义的更多形式
- 小插曲:编码风格
- 数据结构
- 列表的更多特性
- del 语句
- 元组和序列
- 集合
- 字典
- 循环的技巧
- 深入条件控制
- 序列和其它类型的比较
- 模块
- 有关模块的更多信息
- 标准模块
- dir() 函数
- 包
- 输入输出
- 更漂亮的输出格式
- 读写文件
- 错误和异常
- 语法错误
- 异常
- 处理异常
- 抛出异常
- 用户自定义异常
- 定义清理操作
- 预定义的清理操作
- 类
- 名称和对象
- Python 作用域和命名空间
- 初探类
- 补充说明
- 继承
- 私有变量
- 杂项说明
- 迭代器
- 生成器
- 生成器表达式
- 标准库简介
- 操作系统接口
- 文件通配符
- 命令行参数
- 错误输出重定向和程序终止
- 字符串模式匹配
- 数学
- 互联网访问
- 日期和时间
- 数据压缩
- 性能测量
- 质量控制
- 自带电池
- 标准库简介 —— 第二部分
- 格式化输出
- 模板
- 使用二进制数据记录格式
- 多线程
- 日志
- 弱引用
- 用于操作列表的工具
- 十进制浮点运算
- 虚拟环境和包
- 概述
- 创建虚拟环境
- 使用pip管理包
- 接下来?
- 交互式编辑和编辑历史
- Tab 补全和编辑历史
- 默认交互式解释器的替代品
- 浮点算术:争议和限制
- 表示性错误
- 附录
- 交互模式
- 安装和使用 Python
- 命令行与环境
- 命令行
- 环境变量
- 在Unix平台中使用Python
- 获取最新版本的Python
- 构建Python
- 与Python相关的路径和文件
- 杂项
- 编辑器和集成开发环境
- 在Windows上使用 Python
- 完整安装程序
- Microsoft Store包
- nuget.org 安装包
- 可嵌入的包
- 替代捆绑包
- 配置Python
- 适用于Windows的Python启动器
- 查找模块
- 附加模块
- 在Windows上编译Python
- 其他平台
- 在苹果系统上使用 Python
- 获取和安装 MacPython
- IDE
- 安装额外的 Python 包
- Mac 上的图形界面编程
- 在 Mac 上分发 Python 应用程序
- 其他资源
- Python 语言参考
- 概述
- 其他实现
- 标注
- 词法分析
- 行结构
- 其他形符
- 标识符和关键字
- 字面值
- 运算符
- 分隔符
- 数据模型
- 对象、值与类型
- 标准类型层级结构
- 特殊方法名称
- 协程
- 执行模型
- 程序的结构
- 命名与绑定
- 异常
- 导入系统
- importlib
- 包
- 搜索
- 加载
- 基于路径的查找器
- 替换标准导入系统
- Package Relative Imports
- 有关 main 的特殊事项
- 开放问题项
- 参考文献
- 表达式
- 算术转换
- 原子
- 原型
- await 表达式
- 幂运算符
- 一元算术和位运算
- 二元算术运算符
- 移位运算
- 二元位运算
- 比较运算
- 布尔运算
- 条件表达式
- lambda 表达式
- 表达式列表
- 求值顺序
- 运算符优先级
- 简单语句
- 表达式语句
- 赋值语句
- assert 语句
- pass 语句
- del 语句
- return 语句
- yield 语句
- raise 语句
- break 语句
- continue 语句
- import 语句
- global 语句
- nonlocal 语句
- 复合语句
- if 语句
- while 语句
- for 语句
- try 语句
- with 语句
- 函数定义
- 类定义
- 协程
- 最高层级组件
- 完整的 Python 程序
- 文件输入
- 交互式输入
- 表达式输入
- 完整的语法规范
- Python 标准库
- 概述
- 可用性注释
- 内置函数
- 内置常量
- 由 site 模块添加的常量
- 内置类型
- 逻辑值检测
- 布尔运算 — and, or, not
- 比较
- 数字类型 — int, float, complex
- 迭代器类型
- 序列类型 — list, tuple, range
- 文本序列类型 — str
- 二进制序列类型 — bytes, bytearray, memoryview
- 集合类型 — set, frozenset
- 映射类型 — dict
- 上下文管理器类型
- 其他内置类型
- 特殊属性
- 内置异常
- 基类
- 具体异常
- 警告
- 异常层次结构
- 文本处理服务
- string — 常见的字符串操作
- re — 正则表达式操作
- 模块 difflib 是一个计算差异的助手
- textwrap — Text wrapping and filling
- unicodedata — Unicode 数据库
- stringprep — Internet String Preparation
- readline — GNU readline interface
- rlcompleter — GNU readline的完成函数
- 二进制数据服务
- struct — Interpret bytes as packed binary data
- codecs — Codec registry and base classes
- 数据类型
- datetime — 基础日期/时间数据类型
- calendar — General calendar-related functions
- collections — 容器数据类型
- collections.abc — 容器的抽象基类
- heapq — 堆队列算法
- bisect — Array bisection algorithm
- array — Efficient arrays of numeric values
- weakref — 弱引用
- types — Dynamic type creation and names for built-in types
- copy — 浅层 (shallow) 和深层 (deep) 复制操作
- pprint — 数据美化输出
- reprlib — Alternate repr() implementation
- enum — Support for enumerations
- 数字和数学模块
- numbers — 数字的抽象基类
- math — 数学函数
- cmath — Mathematical functions for complex numbers
- decimal — 十进制定点和浮点运算
- fractions — 分数
- random — 生成伪随机数
- statistics — Mathematical statistics functions
- 函数式编程模块
- itertools — 为高效循环而创建迭代器的函数
- functools — 高阶函数和可调用对象上的操作
- operator — 标准运算符替代函数
- 文件和目录访问
- pathlib — 面向对象的文件系统路径
- os.path — 常见路径操作
- fileinput — Iterate over lines from multiple input streams
- stat — Interpreting stat() results
- filecmp — File and Directory Comparisons
- tempfile — Generate temporary files and directories
- glob — Unix style pathname pattern expansion
- fnmatch — Unix filename pattern matching
- linecache — Random access to text lines
- shutil — High-level file operations
- macpath — Mac OS 9 路径操作函数
- 数据持久化
- pickle —— Python 对象序列化
- copyreg — Register pickle support functions
- shelve — Python object persistence
- marshal — Internal Python object serialization
- dbm — Interfaces to Unix “databases”
- sqlite3 — SQLite 数据库 DB-API 2.0 接口模块
- 数据压缩和存档
- zlib — 与 gzip 兼容的压缩
- gzip — 对 gzip 格式的支持
- bz2 — 对 bzip2 压缩算法的支持
- lzma — 用 LZMA 算法压缩
- zipfile — 在 ZIP 归档中工作
- tarfile — Read and write tar archive files
- 文件格式
- csv — CSV 文件读写
- configparser — Configuration file parser
- netrc — netrc file processing
- xdrlib — Encode and decode XDR data
- plistlib — Generate and parse Mac OS X .plist files
- 加密服务
- hashlib — 安全哈希与消息摘要
- hmac — 基于密钥的消息验证
- secrets — Generate secure random numbers for managing secrets
- 通用操作系统服务
- os — 操作系统接口模块
- io — 处理流的核心工具
- time — 时间的访问和转换
- argparse — 命令行选项、参数和子命令解析器
- getopt — C-style parser for command line options
- 模块 logging — Python 的日志记录工具
- logging.config — 日志记录配置
- logging.handlers — Logging handlers
- getpass — 便携式密码输入工具
- curses — 终端字符单元显示的处理
- curses.textpad — Text input widget for curses programs
- curses.ascii — Utilities for ASCII characters
- curses.panel — A panel stack extension for curses
- platform — Access to underlying platform's identifying data
- errno — Standard errno system symbols
- ctypes — Python 的外部函数库
- 并发执行
- threading — 基于线程的并行
- multiprocessing — 基于进程的并行
- concurrent 包
- concurrent.futures — 启动并行任务
- subprocess — 子进程管理
- sched — 事件调度器
- queue — 一个同步的队列类
- _thread — 底层多线程 API
- _dummy_thread — _thread 的替代模块
- dummy_threading — 可直接替代 threading 模块。
- contextvars — Context Variables
- Context Variables
- Manual Context Management
- asyncio support
- 网络和进程间通信
- asyncio — 异步 I/O
- socket — 底层网络接口
- ssl — TLS/SSL wrapper for socket objects
- select — Waiting for I/O completion
- selectors — 高级 I/O 复用库
- asyncore — 异步socket处理器
- asynchat — 异步 socket 指令/响应 处理器
- signal — Set handlers for asynchronous events
- mmap — Memory-mapped file support
- 互联网数据处理
- email — 电子邮件与 MIME 处理包
- json — JSON 编码和解码器
- mailcap — Mailcap file handling
- mailbox — Manipulate mailboxes in various formats
- mimetypes — Map filenames to MIME types
- base64 — Base16, Base32, Base64, Base85 数据编码
- binhex — 对binhex4文件进行编码和解码
- binascii — 二进制和 ASCII 码互转
- quopri — Encode and decode MIME quoted-printable data
- uu — Encode and decode uuencode files
- 结构化标记处理工具
- html — 超文本标记语言支持
- html.parser — 简单的 HTML 和 XHTML 解析器
- html.entities — HTML 一般实体的定义
- XML处理模块
- xml.etree.ElementTree — The ElementTree XML API
- xml.dom — The Document Object Model API
- xml.dom.minidom — Minimal DOM implementation
- xml.dom.pulldom — Support for building partial DOM trees
- xml.sax — Support for SAX2 parsers
- xml.sax.handler — Base classes for SAX handlers
- xml.sax.saxutils — SAX Utilities
- xml.sax.xmlreader — Interface for XML parsers
- xml.parsers.expat — Fast XML parsing using Expat
- 互联网协议和支持
- webbrowser — 方便的Web浏览器控制器
- cgi — Common Gateway Interface support
- cgitb — Traceback manager for CGI scripts
- wsgiref — WSGI Utilities and Reference Implementation
- urllib — URL 处理模块
- urllib.request — 用于打开 URL 的可扩展库
- urllib.response — Response classes used by urllib
- urllib.parse — Parse URLs into components
- urllib.error — Exception classes raised by urllib.request
- urllib.robotparser — Parser for robots.txt
- http — HTTP 模块
- http.client — HTTP协议客户端
- ftplib — FTP protocol client
- poplib — POP3 protocol client
- imaplib — IMAP4 protocol client
- nntplib — NNTP protocol client
- smtplib —SMTP协议客户端
- smtpd — SMTP Server
- telnetlib — Telnet client
- uuid — UUID objects according to RFC 4122
- socketserver — A framework for network servers
- http.server — HTTP 服务器
- http.cookies — HTTP state management
- http.cookiejar — Cookie handling for HTTP clients
- xmlrpc — XMLRPC 服务端与客户端模块
- xmlrpc.client — XML-RPC client access
- xmlrpc.server — Basic XML-RPC servers
- ipaddress — IPv4/IPv6 manipulation library
- 多媒体服务
- audioop — Manipulate raw audio data
- aifc — Read and write AIFF and AIFC files
- sunau — 读写 Sun AU 文件
- wave — 读写WAV格式文件
- chunk — Read IFF chunked data
- colorsys — Conversions between color systems
- imghdr — 推测图像类型
- sndhdr — 推测声音文件的类型
- ossaudiodev — Access to OSS-compatible audio devices
- 国际化
- gettext — 多语种国际化服务
- locale — 国际化服务
- 程序框架
- turtle — 海龟绘图
- cmd — 支持面向行的命令解释器
- shlex — Simple lexical analysis
- Tk图形用户界面(GUI)
- tkinter — Tcl/Tk的Python接口
- tkinter.ttk — Tk themed widgets
- tkinter.tix — Extension widgets for Tk
- tkinter.scrolledtext — 滚动文字控件
- IDLE
- 其他图形用户界面(GUI)包
- 开发工具
- typing — 类型标注支持
- pydoc — Documentation generator and online help system
- doctest — Test interactive Python examples
- unittest — 单元测试框架
- unittest.mock — mock object library
- unittest.mock 上手指南
- 2to3 - 自动将 Python 2 代码转为 Python 3 代码
- test — Regression tests package for Python
- test.support — Utilities for the Python test suite
- test.support.script_helper — Utilities for the Python execution tests
- 调试和分析
- bdb — Debugger framework
- faulthandler — Dump the Python traceback
- pdb — The Python Debugger
- The Python Profilers
- timeit — 测量小代码片段的执行时间
- trace — Trace or track Python statement execution
- tracemalloc — Trace memory allocations
- 软件打包和分发
- distutils — 构建和安装 Python 模块
- ensurepip — Bootstrapping the pip installer
- venv — 创建虚拟环境
- zipapp — Manage executable Python zip archives
- Python运行时服务
- sys — 系统相关的参数和函数
- sysconfig — Provide access to Python's configuration information
- builtins — 内建对象
- main — 顶层脚本环境
- warnings — Warning control
- dataclasses — 数据类
- contextlib — Utilities for with-statement contexts
- abc — 抽象基类
- atexit — 退出处理器
- traceback — Print or retrieve a stack traceback
- future — Future 语句定义
- gc — 垃圾回收器接口
- inspect — 检查对象
- site — Site-specific configuration hook
- 自定义 Python 解释器
- code — Interpreter base classes
- codeop — Compile Python code
- 导入模块
- zipimport — Import modules from Zip archives
- pkgutil — Package extension utility
- modulefinder — 查找脚本使用的模块
- runpy — Locating and executing Python modules
- importlib — The implementation of import
- Python 语言服务
- parser — Access Python parse trees
- ast — 抽象语法树
- symtable — Access to the compiler's symbol tables
- symbol — 与 Python 解析树一起使用的常量
- token — 与Python解析树一起使用的常量
- keyword — 检验Python关键字
- tokenize — Tokenizer for Python source
- tabnanny — 模糊缩进检测
- pyclbr — Python class browser support
- py_compile — Compile Python source files
- compileall — Byte-compile Python libraries
- dis — Python 字节码反汇编器
- pickletools — Tools for pickle developers
- 杂项服务
- formatter — Generic output formatting
- Windows系统相关模块
- msilib — Read and write Microsoft Installer files
- msvcrt — Useful routines from the MS VC++ runtime
- winreg — Windows 注册表访问
- winsound — Sound-playing interface for Windows
- Unix 专有服务
- posix — The most common POSIX system calls
- pwd — 用户密码数据库
- spwd — The shadow password database
- grp — The group database
- crypt — Function to check Unix passwords
- termios — POSIX style tty control
- tty — 终端控制功能
- pty — Pseudo-terminal utilities
- fcntl — The fcntl and ioctl system calls
- pipes — Interface to shell pipelines
- resource — Resource usage information
- nis — Interface to Sun's NIS (Yellow Pages)
- Unix syslog 库例程
- 被取代的模块
- optparse — Parser for command line options
- imp — Access the import internals
- 未创建文档的模块
- 平台特定模块
- 扩展和嵌入 Python 解释器
- 推荐的第三方工具
- 不使用第三方工具创建扩展
- 使用 C 或 C++ 扩展 Python
- 自定义扩展类型:教程
- 定义扩展类型:已分类主题
- 构建C/C++扩展
- 在Windows平台编译C和C++扩展
- 在更大的应用程序中嵌入 CPython 运行时
- Embedding Python in Another Application
- Python/C API 参考手册
- 概述
- 代码标准
- 包含文件
- 有用的宏
- 对象、类型和引用计数
- 异常
- 嵌入Python
- 调试构建
- 稳定的应用程序二进制接口
- The Very High Level Layer
- Reference Counting
- 异常处理
- Printing and clearing
- 抛出异常
- Issuing warnings
- Querying the error indicator
- Signal Handling
- Exception Classes
- Exception Objects
- Unicode Exception Objects
- Recursion Control
- 标准异常
- 标准警告类别
- 工具
- 操作系统实用程序
- 系统功能
- 过程控制
- 导入模块
- Data marshalling support
- 语句解释及变量编译
- 字符串转换与格式化
- 反射
- 编解码器注册与支持功能
- 抽象对象层
- Object Protocol
- 数字协议
- Sequence Protocol
- Mapping Protocol
- 迭代器协议
- 缓冲协议
- Old Buffer Protocol
- 具体的对象层
- 基本对象
- 数值对象
- 序列对象
- 容器对象
- 函数对象
- 其他对象
- Initialization, Finalization, and Threads
- 在Python初始化之前
- 全局配置变量
- Initializing and finalizing the interpreter
- Process-wide parameters
- Thread State and the Global Interpreter Lock
- Sub-interpreter support
- Asynchronous Notifications
- Profiling and Tracing
- Advanced Debugger Support
- Thread Local Storage Support
- 内存管理
- 概述
- 原始内存接口
- Memory Interface
- 对象分配器
- 默认内存分配器
- Customize Memory Allocators
- The pymalloc allocator
- tracemalloc C API
- 示例
- 对象实现支持
- 在堆中分配对象
- Common Object Structures
- Type 对象
- Number Object Structures
- Mapping Object Structures
- Sequence Object Structures
- Buffer Object Structures
- Async Object Structures
- 使对象类型支持循环垃圾回收
- API 和 ABI 版本管理
- 分发 Python 模块
- 关键术语
- 开源许可与协作
- 安装工具
- 阅读指南
- 我该如何...?
- ...为我的项目选择一个名字?
- ...创建和分发二进制扩展?
- 安装 Python 模块
- 关键术语
- 基本使用
- 我应如何 ...?
- ... 在 Python 3.4 之前的 Python 版本中安装 pip ?
- ... 只为当前用户安装软件包?
- ... 安装科学计算类 Python 软件包?
- ... 使用并行安装的多个 Python 版本?
- 常见的安装问题
- 在 Linux 的系统 Python 版本上安装
- 未安装 pip
- 安装二进制编译扩展
- Python 常用指引
- 将 Python 2 代码迁移到 Python 3
- 简要说明
- 详情
- 将扩展模块移植到 Python 3
- 条件编译
- 对象API的更改
- 模块初始化和状态
- CObject 替换为 Capsule
- 其他选项
- Curses Programming with Python
- What is curses?
- Starting and ending a curses application
- Windows and Pads
- Displaying Text
- User Input
- For More Information
- 实现描述器
- 摘要
- 定义和简介
- 描述器协议
- 发起调用描述符
- 描述符示例
- Properties
- 函数和方法
- Static Methods and Class Methods
- 函数式编程指引
- 概述
- 迭代器
- 生成器表达式和列表推导式
- 生成器
- 内置函数
- itertools 模块
- The functools module
- Small functions and the lambda expression
- Revision History and Acknowledgements
- 引用文献
- 日志 HOWTO
- 日志基础教程
- 进阶日志教程
- 日志级别
- 有用的处理程序
- 记录日志中引发的异常
- 使用任意对象作为消息
- 优化
- 日志操作手册
- 在多个模块中使用日志
- 在多线程中使用日志
- 使用多个日志处理器和多种格式化
- 在多个地方记录日志
- 日志服务器配置示例
- 处理日志处理器的阻塞
- Sending and receiving logging events across a network
- Adding contextual information to your logging output
- Logging to a single file from multiple processes
- Using file rotation
- Use of alternative formatting styles
- Customizing LogRecord
- Subclassing QueueHandler - a ZeroMQ example
- Subclassing QueueListener - a ZeroMQ example
- An example dictionary-based configuration
- Using a rotator and namer to customize log rotation processing
- A more elaborate multiprocessing example
- Inserting a BOM into messages sent to a SysLogHandler
- Implementing structured logging
- Customizing handlers with dictConfig()
- Using particular formatting styles throughout your application
- Configuring filters with dictConfig()
- Customized exception formatting
- Speaking logging messages
- Buffering logging messages and outputting them conditionally
- Formatting times using UTC (GMT) via configuration
- Using a context manager for selective logging
- 正则表达式HOWTO
- 概述
- 简单模式
- 使用正则表达式
- 更多模式能力
- 修改字符串
- 常见问题
- 反馈
- 套接字编程指南
- 套接字
- 创建套接字
- 使用一个套接字
- 断开连接
- 非阻塞的套接字
- 排序指南
- 基本排序
- 关键函数
- Operator 模块函数
- 升序和降序
- 排序稳定性和排序复杂度
- 使用装饰-排序-去装饰的旧方法
- 使用 cmp 参数的旧方法
- 其它
- Unicode 指南
- Unicode 概述
- Python's Unicode Support
- Reading and Writing Unicode Data
- Acknowledgements
- 如何使用urllib包获取网络资源
- 概述
- Fetching URLs
- 处理异常
- info and geturl
- Openers and Handlers
- Basic Authentication
- Proxies
- Sockets and Layers
- 脚注
- Argparse 教程
- 概念
- 基础
- 位置参数介绍
- Introducing Optional arguments
- Combining Positional and Optional arguments
- Getting a little more advanced
- Conclusion
- ipaddress模块介绍
- 创建 Address/Network/Interface 对象
- 审查 Address/Network/Interface 对象
- Network 作为 Address 列表
- 比较
- 将IP地址与其他模块一起使用
- 实例创建失败时获取更多详细信息
- Argument Clinic How-To
- The Goals Of Argument Clinic
- Basic Concepts And Usage
- Converting Your First Function
- Advanced Topics
- 使用 DTrace 和 SystemTap 检测CPython
- Enabling the static markers
- Static DTrace probes
- Static SystemTap markers
- Available static markers
- SystemTap Tapsets
- 示例
- Python 常见问题
- Python常见问题
- 一般信息
- 现实世界中的 Python
- 编程常见问题
- 一般问题
- 核心语言
- 数字和字符串
- 性能
- 序列(元组/列表)
- 对象
- 模块
- 设计和历史常见问题
- 为什么Python使用缩进来分组语句?
- 为什么简单的算术运算得到奇怪的结果?
- 为什么浮点计算不准确?
- 为什么Python字符串是不可变的?
- 为什么必须在方法定义和调用中显式使用“self”?
- 为什么不能在表达式中赋值?
- 为什么Python对某些功能(例如list.index())使用方法来实现,而其他功能(例如len(List))使用函数实现?
- 为什么 join()是一个字符串方法而不是列表或元组方法?
- 异常有多快?
- 为什么Python中没有switch或case语句?
- 难道不能在解释器中模拟线程,而非得依赖特定于操作系统的线程实现吗?
- 为什么lambda表达式不能包含语句?
- 可以将Python编译为机器代码,C或其他语言吗?
- Python如何管理内存?
- 为什么CPython不使用更传统的垃圾回收方案?
- CPython退出时为什么不释放所有内存?
- 为什么有单独的元组和列表数据类型?
- 列表是如何在CPython中实现的?
- 字典是如何在CPython中实现的?
- 为什么字典key必须是不可变的?
- 为什么 list.sort() 没有返回排序列表?
- 如何在Python中指定和实施接口规范?
- 为什么没有goto?
- 为什么原始字符串(r-strings)不能以反斜杠结尾?
- 为什么Python没有属性赋值的“with”语句?
- 为什么 if/while/def/class语句需要冒号?
- 为什么Python在列表和元组的末尾允许使用逗号?
- 代码库和插件 FAQ
- 通用的代码库问题
- 通用任务
- 线程相关
- 输入输出
- 网络 / Internet 编程
- 数据库
- 数学和数字
- 扩展/嵌入常见问题
- 可以使用C语言中创建自己的函数吗?
- 可以使用C++语言中创建自己的函数吗?
- C很难写,有没有其他选择?
- 如何从C执行任意Python语句?
- 如何从C中评估任意Python表达式?
- 如何从Python对象中提取C的值?
- 如何使用Py_BuildValue()创建任意长度的元组?
- 如何从C调用对象的方法?
- 如何捕获PyErr_Print()(或打印到stdout / stderr的任何内容)的输出?
- 如何从C访问用Python编写的模块?
- 如何从Python接口到C ++对象?
- 我使用Setup文件添加了一个模块,为什么make失败了?
- 如何调试扩展?
- 我想在Linux系统上编译一个Python模块,但是缺少一些文件。为什么?
- 如何区分“输入不完整”和“输入无效”?
- 如何找到未定义的g++符号__builtin_new或__pure_virtual?
- 能否创建一个对象类,其中部分方法在C中实现,而其他方法在Python中实现(例如通过继承)?
- Python在Windows上的常见问题
- 我怎样在Windows下运行一个Python程序?
- 我怎么让 Python 脚本可执行?
- 为什么有时候 Python 程序会启动缓慢?
- 我怎样使用Python脚本制作可执行文件?
- *.pyd 文件和DLL文件相同吗?
- 我怎样将Python嵌入一个Windows程序?
- 如何让编辑器不要在我的 Python 源代码中插入 tab ?
- 如何在不阻塞的情况下检查按键?
- 图形用户界面(GUI)常见问题
- 图形界面常见问题
- Python 是否有平台无关的图形界面工具包?
- 有哪些Python的GUI工具是某个平台专用的?
- 有关Tkinter的问题
- “为什么我的电脑上安装了 Python ?”
- 什么是Python?
- 为什么我的电脑上安装了 Python ?
- 我能删除 Python 吗?
- 术语对照表
- 文档说明
- Python 文档贡献者
- 解决 Bug
- 文档错误
- 使用 Python 的错误追踪系统
- 开始为 Python 贡献您的知识
- 版权
- 历史和许可证
- 软件历史
- 访问Python或以其他方式使用Python的条款和条件
- Python 3.7.3 的 PSF 许可协议
- Python 2.0 的 BeOpen.com 许可协议
- Python 1.6.1 的 CNRI 许可协议
- Python 0.9.0 至 1.2 的 CWI 许可协议
- 集成软件的许可和认可
- Mersenne Twister
- 套接字
- Asynchronous socket services
- Cookie management
- Execution tracing
- UUencode and UUdecode functions
- XML Remote Procedure Calls
- test_epoll
- Select kqueue
- SipHash24
- strtod and dtoa
- OpenSSL
- expat
- libffi
- zlib
- cfuhash
- libmpdec