很多场景为了不阻塞,都需要异步回调机制。这是一个简单的例子,大家参考使用吧
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
import logging
import queue
import threading
def func_a(a, b):
return a + b
def func_b():
pass
def func_c(a, b, c):
return a, b, c
# 异步任务队列
_task_queue = queue.Queue()
def async_call(function, callback, *args, **kwargs):
_task_queue.put({
'function': function,
'callback': callback,
'args': args,
'kwargs': kwargs
})
def _task_queue_consumer():
"""
异步任务队列消费者
"""
while True:
try:
task = _task_queue.get()
function = task.get('function')
callback = task.get('callback')
args = task.get('args')
kwargs = task.get('kwargs')
try:
if callback:
callback(function(*args, **kwargs))
except Exception as ex:
if callback:
callback(ex)
finally:
_task_queue.task_done()
except Exception as ex:
logging.warning(ex)
def handle_result(result):
print(type(result), result)
if __name__ == '__main__':
t = threading.Thread(target=_task_queue_consumer)
t.daemon = True
t.start()
async_call(func_a, handle_result, 1, 2)
async_call(func_b, handle_result)
async_call(func_c, handle_result, 1, 2, 3)
async_call(func_c, handle_result, 1, 2, 3, 4)
_task_queue.join()

pythonisehybridmodeLofCompilation和interpretation:1)thepythoninterpretercompilesourcecececodeintoplatform- interpententbybytecode.2)thepythonvirtualmachine(pvm)thenexecutecutestestestestestesthisbytecode,ballancingEaseofuseEfuseWithPerformance。

pythonisbothinterpretedAndCompiled.1)它的compiledTobyTecodeForportabilityAcrosplatforms.2)bytecodeisthenInterpreted,允許fordingfordforderynamictynamictymictymictymictyandrapiddefupment,儘管Ititmaybeslowerthananeflowerthanancompiledcompiledlanguages。

在您的知識之際,而foroopsareideal insinAdvance中,而WhileLoopSareBetterForsituations則youneedtoloopuntilaconditionismet

ForboopSareSusedwhenthentheneMberofiterationsiskNownInAdvance,而WhileLoopSareSareDestrationsDepportonAcondition.1)ForloopSareIdealForiteratingOverSequencesLikelistSorarrays.2)whileLeleLooleSuitableApeableableableableableableforscenarioscenarioswhereTheLeTheLeTheLeTeLoopContinusunuesuntilaspecificiccificcificCondond

pythonisnotpuroly interpred; itosisehybridablectofbytecodecompilationandruntimeinterpretation.1)PythonCompiLessourceceCeceDintobyTecode,whitsthenexecececected bytybytybythepythepythepythonvirtirtualmachine(pvm).2)

是的,YouCanconCatenatElistsusingAloopInpyThon.1)使用eparateLoopsForeachListToAppendIteMstoaresultList.2)useanestedlooptoiterateOverMultipliplipliplipliplipliplipliplipliplipliplistforamoreConciseApprace.3)

ThemostefficientmethodsforconcatenatinglistsinPythonare:1)theextend()methodforin-placemodification,2)itertools.chain()formemoryefficiencywithlargedatasets.Theextend()methodmodifiestheoriginallist,makingitmemory-efficientbutrequirescautionifpreserving

pythonboopsincludeforandwhileloops,with forloopsidealforequencessand and whileloopsforcondition repetition.bestpracticesinvolve:1)使用listComprehensionsforshensionsforsimpletranspletransformations,2)obseringEnumerateForIndex-valuepairs,3)optingftingftingfortermornemoremoremoremore


熱AI工具

Undresser.AI Undress
人工智慧驅動的應用程序,用於創建逼真的裸體照片

AI Clothes Remover
用於從照片中去除衣服的線上人工智慧工具。

Undress AI Tool
免費脫衣圖片

Clothoff.io
AI脫衣器

Video Face Swap
使用我們完全免費的人工智慧換臉工具,輕鬆在任何影片中換臉!

熱門文章

熱工具

SAP NetWeaver Server Adapter for Eclipse
將Eclipse與SAP NetWeaver應用伺服器整合。

記事本++7.3.1
好用且免費的程式碼編輯器

EditPlus 中文破解版
體積小,語法高亮,不支援程式碼提示功能

MinGW - Minimalist GNU for Windows
這個專案正在遷移到osdn.net/projects/mingw的過程中,你可以繼續在那裡關注我們。 MinGW:GNU編譯器集合(GCC)的本機Windows移植版本,可自由分發的導入函式庫和用於建置本機Windows應用程式的頭檔;包括對MSVC執行時間的擴展,以支援C99功能。 MinGW的所有軟體都可以在64位元Windows平台上運作。

ZendStudio 13.5.1 Mac
強大的PHP整合開發環境