在使用他人代码时,为不保留文件头部版权信息,需要一个个删掉,费时费力,
写了个脚本,简单清除掉目录下所有的文件的头部版权信息。
# -*- coding: utf8 -*- ''''' 删除java文件头部的版权等注释 package之上的部分 ''' import os import sys def delHeader(filepath): if os.path.exists(filepath) : file = open(filepath) lines = file.readlines() beforeTag = True writer = open(filepath, 'w') for line in lines : if 'package' in line: beforeTag = False if beforeTag == False: writer.write(line) if __name__ == '__main__': path='F:\\space\\xxx\\src' list = os.walk(path, True) for dir in list: files = dir[2] for file in files : if '.java' in file : filepath = os.path.join(dir[0], file) print filepath delHeader(filepath) print 'Complete!!!!!!!!!!!!!!!'

Pythonusesahybridmodelofcompilationandinterpretation:1)ThePythoninterpretercompilessourcecodeintoplatform-independentbytecode.2)ThePythonVirtualMachine(PVM)thenexecutesthisbytecode,balancingeaseofusewithperformance.

Pythonisbothinterpretedandcompiled.1)It'scompiledtobytecodeforportabilityacrossplatforms.2)Thebytecodeistheninterpreted,allowingfordynamictypingandrapiddevelopment,thoughitmaybeslowerthanfullycompiledlanguages.

Forloopsareidealwhenyouknowthenumberofiterationsinadvance,whilewhileloopsarebetterforsituationswhereyouneedtoloopuntilaconditionismet.Forloopsaremoreefficientandreadable,suitableforiteratingoversequences,whereaswhileloopsoffermorecontrolandareusefulf

Forloopsareusedwhenthenumberofiterationsisknowninadvance,whilewhileloopsareusedwhentheiterationsdependonacondition.1)Forloopsareidealforiteratingoversequenceslikelistsorarrays.2)Whileloopsaresuitableforscenarioswheretheloopcontinuesuntilaspecificcond

Pythonisnotpurelyinterpreted;itusesahybridapproachofbytecodecompilationandruntimeinterpretation.1)Pythoncompilessourcecodeintobytecode,whichisthenexecutedbythePythonVirtualMachine(PVM).2)Thisprocessallowsforrapiddevelopmentbutcanimpactperformance,req

ToconcatenatelistsinPythonwiththesameelements,use:1)the operatortokeepduplicates,2)asettoremoveduplicates,or3)listcomprehensionforcontroloverduplicates,eachmethodhasdifferentperformanceandorderimplications.

Pythonisaninterpretedlanguage,offeringeaseofuseandflexibilitybutfacingperformancelimitationsincriticalapplications.1)InterpretedlanguageslikePythonexecuteline-by-line,allowingimmediatefeedbackandrapidprototyping.2)CompiledlanguageslikeC/C transformt

Useforloopswhenthenumberofiterationsisknowninadvance,andwhileloopswheniterationsdependonacondition.1)Forloopsareidealforsequenceslikelistsorranges.2)Whileloopssuitscenarioswheretheloopcontinuesuntilaspecificconditionismet,usefulforuserinputsoralgorit


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