这是一本编程入门书籍，正如序言所说：Thegoalofthisbookistoteachthereadertothinkrecursively.Andtoreadthisbook,thereadermustbecomfortablereadingEnglish,recognizingnumbers,andcounting.

littlevgl技术参考手册.rar

使用python从中英文混排的txt文件《littlePrincess小王子.txt》中提取出英文文本。

ExploratoryDataAnalysisUsingRprovidesaclassroom-testedintroductiontoexploratorydataanalysis(EDA)andintroducestherangeof"interesting"–good,bad,andugly–featuresthatcanbefoundindata,andwhyitisimportanttofindthem.ItalsointroducesthemechanicsofusingRtoexploreandexplaindata.Thebookbeginswithadetailedoverviewofdata,exploratoryanalysis,andR,aswellasgraphicsinR.Itthenexploresworkingwithexternaldata,linearregressionmodels,andcraftingdatastories.ThesecondpartofthebookfocusesondevelopingRprograms,includinggoodprogrammingpracticesandexamples,workingwithtextdata,andgeneralpredictivemodels.Thebookendswithachapteron"keepingitalltogether"thatincludesmanagingtheRinstallation,managingfiles,documenting,andanintroductiontoreproduciblecomputing.Thebookisdesignedforbothadvancedundergraduate,entry-levelgraduatestudents,andworkingprofessionalswithlittletonopriorexposuretodataanalysis,modeling,statistics,orprogramming.itkeepsthetreatmentrelativelynon-mathematical,eventhoughdataanalysisisaninherentlymathematicalsubject.Exercisesareincludedattheendofmostchapters,andaninstructor'ssolutionmanualisavailable.AbouttheAuthor:RonaldK.PearsonholdsthepositionofSeniorDataScientistwithGeoVera,apropertyinsurancecompanyinFairfield,California,andhehaspreviouslyheldsimilarpositionsinavarietyofapplicationareas,includingsoftwaredevelopment,drugsafetydataanalysis,andtheanalysisofindustrialprocessdata.HeholdsaPhDinElectricalEngineeringandComputerSciencefromtheMassachusettsInstituteofTechnologyandhaspublishedconferenceandjournalpapersontopicsrangingfromnonlineardynamicmodelstructureselectiontotheproblemsofdisguisedmissingdatainpredictivemodeling.Dr.Pearsonhasauthoredorco-authoredbooksincludingExploringDatainEngineeri

Theacceleratingdeploymentoflarge-scaleweb,cloud,BigData,andvirtualizedcomputingsystemshasintroducedseriousnewchallengesinperformanceoptimization.Untilnow,however,littlereliable,practicalinformationhasbeenavailabletoITprofessionalswhoareresponsibleforrunningthesesystemsefficientlyandcost-effectively.SystemsPerformance:EnterpriseandtheCloudisthesolution.InternationallyrenownedperformanceoptimizationexpertBrendanGreggbringstogetherstate-of-the-arttechniquesandtoolsforanalysisandtuningoflarge-scaleweb/cloudcomputingenvironments.GreggfocusesonLinux/Unix/Solarisperformanceissues,whileofferingprovenmethodologiesanddiscussingkeyissuesthatapplytoallenterpriseoperatingsystems.Coverageincludes:Modernperformanceanalysisandcapacityplanning,includingkeyissuessuchaslatencyanddynamictracingNewperformanceandreliabilitychallengesassociatedwithcloudcomputingMethodology,concepts,terminology,tools,andmetricsKeytradeoffs,includingproblemsofloadvs.architectureTuningoperatingsystems,CPUs,memory,filesystems,disks,networks,andbussesTuningvirtualizedsystemsProgramminglanguageissuesrelatedtoperformance—includingapplicationprofilingforC,C++,Java,andnode.jsBenchmarkingstrategiesandpitfalls,includingcustommicrobenchmarking

如果要运行所有功能，则需要在计算机上正确安装以下Matlab工具箱：-Flandrin的EMD工具箱（在一维变换中需要执行希尔伯特变换并且可视化时频平面）可从http://perso.ens-lyon.fr/patrick.flandrin/emd.html获得-Elad的伪极谱FFT工具箱（2D变换除了基于张量变换之外）可从http://www.cs.technion.ac.il/~elad/software/获得如果要运行所有功能，则需要在计算机上正确安装以下Matlab工具箱：-Flandrin的EMD工具箱（在一维变换中需要执行希尔伯特变换并且可视化时频平面）可从http://perso.ens-lyon.fr/patrick.flandrin/emd.html获得-Elad的伪极谱FFT工具箱（2D变换除了基于张量变换之外）可从http://www.cs.technion.ac.il/~elad/software/获得如果要运行所有功能，则需要在计算机上正确安装以下Matlab工具箱：-Flandrin的EMD工具箱（在一维变换中需要执行希尔伯特变换并且可视化时频平面）可从http://perso.ens-lyon.fr/patrick.flandrin/emd.html获得-Elad的伪极谱FFT工具箱（2D变换除了基于张量变换之外）可从http://www.cs.technion.ac.il/~elad/software/获得如果要运行所有功能，则需要在计算机上正确安装以下Matlab工具箱：-Flandrin的EMD工具箱（在一维变换中需要执行希尔伯特变换并且可视化时频平面）可从http://perso.ens-lyon.fr/patrick.flandrin/emd.html获得-Elad的伪极谱FFT工具箱（2D变换除了基于张量变换之外）可从http://www.cs.technion.ac.il/~elad/software/获得如果要运行所有功能，则需要在计算机上正确安装以下Matlab工具箱：-Flandrin的EMD工具箱（在一维变换中需要执行希尔伯特变换并且可视化时频平面）可从http://perso.ens-lyon.fr/patrick.flandrin/emd.html获得-Elad的伪极谱FFT工具箱（2D变换除了基于张量变换之外）可从http://www.cs.technion.ac.il/~elad/software/获得这个工具箱组织如下：EWT?|?|-1D：1DEWT功能?|-2D：2DEWT功能?||-小波：经验曲线变换?||-Littlewood-Paley：经验的Littlewood-Paley小波变换?||-Ridgelet：经验Ridgelet变换?||-张量：经验张量小波变换?-边界：用于执行傅里叶支持的函数?||-LocalMaxima：根据当地最大值，中途或当地最小值执行检测的功能?||-MorphoMath：执行形态学操作符对谱进行预处理的功能?||-PowerLaw：通过去除其幂律近似来预处理谱?||-ScaleSpace：基于尺度空间方法执行检测的函数?|-文档：工具箱文档?|-Tests?||-1D：对几个1D信号执行基本测试的功能?||-2D：用于在不同图像上执行几个2D变换的基本测试的功能?|-utilities?||-1D：在1D情况下绘制结果的有用函数（时频平面，分量，边界）?||-2D：用于在2D情况下绘制结果的有用函数（不同类型的组件，2D边界，...）如果要运行所有功能，则需要在计算机上正确安装以下Matlab工具箱：-Flandrin的EMD工具箱（在一维变换中需要执行希尔伯特变换并且可视化时频平面）可从http://perso.ens-lyon.fr/patrick.flandrin/emd.html获得-Elad的伪极谱FFT工具箱（2D变换除了基于张量变换之外）可从http://www.cs.technion.ac.il/~elad/software/获得已经包含了

R-Studio是一系列强大和具成本效益的撤消删除与数据恢复软件。
获得新独一无二数据恢复技术的支持，它是面向恢复文件的最为全面数据恢复解决方案，适用于FAT12/16/32/exFAT、NTFS、NTFS5（由Windows2000/XP/2003/Vista/2008/Win7创建或更新）、HFS/HFS+(Macintosh)、Little和UFS1/UFS2的BigEndianvariants(FreeBSD/OpenBSD/NetBSD/Solaris)，以及Ext2/Ext3/Ext4FS(Linux)分区。
它亦可针对严重毁损或未知的文件系统，使用原始文件恢复（扫描已知的文件类型）。
亦可用于本地和网络磁盘，即使已格式化、毁损或删除该分区。
弹性参数设置，让您得以全面控制数据恢复过程。

html小游戏https://blog.csdn.net/qq_45467083/article/details/104208876

计算机组成与设计第五版英文书+答案Webelievethatlearningincomputerscienceandengineeringshouldreflectthecurrentstateofthefield,aswellasintroducetheprinciplesthatareshapingcomputing.Wealsofeelthatreadersineveryspecialtyofcomputingneedtoappreciatetheorganizationalparadigmsthatdeterminethecapabilities,performance,energy,and,ultimately,thesuccessofcomputersystems.Moderncomputertechnologyrequiresprofessionalsofeverycomputingspecialtytounderstandbothhardwareandsoftware.Theinteractionbetweenhardwareandsoftwareatavarietyoflevelsalsooffersaframeworkforunderstandingthefundamentalsofcomputing.Whetheryourprimaryinterestishardwareorsoftware,computerscienceorelectricalengineering,thecentralideasincomputerorganizationanddesignarethesame.Thus,ouremphasisinthisbookistoshowtherelationshipbetweenhardwareandsoftwareandtofocusontheconceptsthatarethebasisforcurrentcomputers.Therecentswitchfromuniprocessortomulticoremicroprocessorsconfirmedthesoundnessofthisperspective,givensincethefirstedition.Whileprogrammerscouldignoretheadviceandrelyoncomputerarchitects,compilerwriters,andsiliconengineerstomaketheirprogramsrunfasterorbemoreenergy-efficientwithoutchange,thateraisover.Forprogramstorunfaster,theymustbecomeparallel.Whilethegoalofmanyresearchersistomakeitpossibleforprogrammerstobeunawareoftheunderlyingparallelnatureofthehardwaretheyareprogramming,itwilltakemanyyearstorealizethisvision.Ourviewisthatforatleastthenextdecade,mostprogrammersaregoingtohavetounderstandthehardware/softwareinterfaceiftheywantprogramstorunefficientlyonparallelcomputers.Theaudienceforthisbookincludesthosewithlittleexperienceinassemblylanguageorlogicdesignwhoneedtounderstandbasiccomputerorganizationaswellasreaderswithbackgroundsinassemblyl

DeriveusefulinsightsfromyourdatausingPython.Learnthetechniquesrelatedtonaturallanguageprocessingandtextanalytics,andgaintheskillstoknowwhichtechniqueisbestsuitedtosolveaparticularproblem.TextAnalyticswithPythonteachesyoubothbasicandadvancedconcepts,includingtextandlanguagesyntax,structure,semantics.Youwillfocusonalgorithmsandtechniques,suchastextclassification,clustering,topicmodeling,andtextsummarization.Astructuredandcomprehensiveapproachisfollowedinthisbooksothatreaderswithlittleornoexperiencedonotfindthemselvesoverwhelmed.YouwillstartwiththebasicsofnaturallanguageandPythonandmoveontoadvancedanalyticalandmachinelearningconcepts.Youwilllookateachtechniqueandalgorithmwithbothabird'seyeviewtounderstandhowitcanbeusedaswellaswithamicroscopicviewtounderstandthemathematicalconceptsandtoimplementthemtosolveyourownproblems.ThisbookProvidescompletecoverageofthemajorconceptsandtechniquesofnaturallanguageprocessing(NLP)andtextanalyticsIncludespracticalreal-worldexamplesoftechniquesforimplementation,suchasbuildingatextclassificationsystemtocategorizenewsarticles,analyzingapporgamereviewsusingtopicmodelingandtextsummarization,andclusteringpopularmoviesynopsesandanalyzingthesentimentofmoviereviewsShowsimplementationsbasedonPythonandseveralpopularopensourcelibrariesinNLPandtextanalytics,suchasthenaturallanguagetoolkit(nltk),gensim,scikit-learn,spaCyandPatternWhatyouwilllearnNaturalLanguageconceptsAnalyzingTextsyntaxandstructureTextClassificationTextClusteringandSimilarityanalysisTextSummarizationSemanticandSentimentanalysisReadershipThebookisforITprofessionals,analysts,developers,linguisticexperts,datascientists,andanyonewithakeeninterestinlinguistics,analytics,andgeneratinginsightsfrom

在日常工作中，钉钉打卡成了我生活中不可或缺的一部分。然而，有时候这个看似简单的任务却给我带来了不少烦恼。 每天早晚，我总是得牢记打开钉钉应用，点击"工作台"，再找到"考勤打卡"进行签到。有时候因为工作忙碌，会忘记打卡，导致考勤异常，影响当月的工作评价。而且，由于我使用的是苹果手机，有时候系统更新后，钉钉的某些功能会出现异常，使得打卡变得更加麻烦。 另外，我的家人使用的是安卓手机，他们也经常抱怨钉钉打卡的繁琐。尤其是对于那些不太熟悉手机操作的长辈来说，每次打卡都是一次挑战。他们总是担心自己会操作失误，导致打卡失败。 为了解决这些烦恼，我开始思考是否可以通过编写一个全自动化脚本来实现钉钉打卡。经过一段时间的摸索和学习，我终于成功编写出了一个适用于苹果和安卓系统的钉钉打卡脚本。