看到了这样一段代码:
def foo(a, b=[]): b.append(a) print b
回复内容:
<span class="o">>>></span> <span class="k">def</span> <span class="nf">foo</span><span class="p">(</span><span class="n">bar</span><span class="o">=</span><span class="p">[]):</span>
<span class="o">...</span> <span class="k">return</span> <span class="n">bar</span>
<span class="o">>>></span> <span class="n">foo</span><span class="o">.</span><span class="n">func_name</span>
<span class="s">'foo'</span>
<span class="o">>>></span> <span class="n">foo</span><span class="o">.</span><span class="n">func_defaults</span>
<span class="p">([],)</span>
<span class="o">>>></span> <span class="n">foo</span><span class="p">()</span> <span class="ow">is</span> <span class="n">foo</span><span class="o">.</span><span class="n">func_defaults</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="bp">True</span>
官方文档解释在这里:default args 的求值是在定义的时候,只做一次4. More Control Flow Tools
但是……
>>> def f(a, b=[]):
... b.append(a)
... print b
...
>>> f(1)
[1]
>>> f(1)
[1, 1]
>>> def f(a, b=None):
... b = b if b is not None else []
... b.append(a)
... print b
...
>>> f(1)
[1]
>>> f(1)
[1]
>>> f(1)
[1]
>>> a = []
>>> b = []
>>> a.append(1)
>>> b
[]
>>>
啥都不用说,加一个id()输出b的所谓的地址,你就明白了
note, 建议了解一下 def foo(a=[])和 foo(a=[])的区别:前者是参数默认值,后者是keyword arguments. 还有这种def foo(*args, **kargs) 和 这种 foo(*args, **kargs), 都是有细微区别的。 不会的, 默认值之间是共享的, 只会创建一次, 并不会每次创建一个新的对象. 也就是说使用可变对象作为函数的默认值时会导致函数的混乱. 同理使用字典作为默认参数,会得出类似的返回.
<span class="k">def</span> <span class="nf">foo</span><span class="p">(</span><span class="n">k</span><span class="p">,</span><span class="n">v</span><span class="p">,</span> <span class="n">fdict</span><span class="o">=</span><span class="p">{}):</span>
<span class="n">fdict</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="n">v</span>
<span class="k">print</span> <span class="n">fdict</span>
<span class="n">foo</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">)</span>
<span class="n">foo</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span><span class="mi">4</span><span class="p">)</span>

Python是解释型语言,但也包含编译过程。1)Python代码先编译成字节码。2)字节码由Python虚拟机解释执行。3)这种混合机制使Python既灵活又高效,但执行速度不如完全编译型语言。

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pythonloopscanleadtoerrorslikeinfiniteloops,modifyingListsDuringteritation,逐个偏置,零indexingissues,andnestedloopineflinefficiencies

forloopsareadvantageousforknowniterations and sequests,供应模拟性和可读性;而LileLoopSareIdealFordyNamicConcitionSandunknowniterations,提供ControloperRoverTermination.1)forloopsareperfectForeTectForeTerToratingOrtratingRiteratingOrtratingRitterlistlistslists,callings conspass,calplace,cal,ofstrings ofstrings,orstrings,orstrings,orstrings ofcces

pythonisehybridmodelofcompilationand interpretation:1)thepythoninterspretercompilesourcececodeintoplatform- interpententbybytecode.2)thepytythonvirtualmachine(pvm)thenexecuteCutestestestesteSteSteSteSteSteSthisByTecode,BelancingEaseofuseWithPerformance。

pythonisbothinterpretedAndCompiled.1)它的compiledTobyTecodeForportabilityAcrosplatforms.2)bytecodeisthenInterpreted,允许fordingfordforderynamictynamictymictymictymictyandrapiddefupment,尽管Ititmaybeslowerthananeflowerthanancompiledcompiledlanguages。

在您的知识之际,而foroopsareideal insinAdvance中,而WhileLoopSareBetterForsituations则youneedtoloopuntilaconditionismet

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


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