Fixedtableheaderappropriatewithwidthofcolumns(tablebody)andyoustillcanusesortoncolumns.Scrolldownyourpageandsee!

DataAnalyticswithSparkUsingPython(Addison-WesleyData&AnalyticsSeries)By作者:JeffreyAvenISBN-10书号:013484601XISBN-13书号:9780134846019Edition版本:1出版日期:2018-06-16pages页数:851SolveDataAnalyticsProblemswithSpark,PySpark,andRelatedOpenSourceToolsSparkisattheheartoftoday’sBigDatarevolution,helpingdataprofessionalssuperchargeefficiencyandperformanceinawiderangeofdataprocessingandanalyticstasks.Inthisguide,BigDataexpertJeffreyAvencoversallyouneedtoknowtoleverageSpark,togetherwithitsextensions,subprojects,andwiderecosystem.Avencombinesalanguage-agnosticintroductiontofoundationalSparkconceptswithextensiveprogrammingexamplesutilizingthepopularandintuitivePySparkdevelopmentenvironment.Thisguide’sfocusonPythonmakesitwidelyaccessibletolargeaudiencesofdataprofessionals,analysts,anddevelopers—eventhosewithlittleHadooporSparkexperience.Aven’sbroadcoveragerangesfrombasictoadvancedSparkprogramming,andSparkSQLtomachinelearning.You’lllearnhowtoefficientlymanageallformsofdatawithSpark:streaming,structured,semi-structured,andunstructured.Throughout,concisetopicoverviewsquicklygetyouuptospeed,andextensivehands-onexercisesprepareyoutosolverealproblems.Coverageincludes:UnderstandSpark’sevolvingroleintheBigDataandHadoopecosystemsCreateSparkclustersusingvariousdeploymentmodesControlandoptimizetheoperationofSparkclustersandapplicationsMasterSparkCoreRDDAPIprogrammingtechniquesExtend,accelerate,andoptimizeSparkroutineswithadvancedAPIplatformconstructs,includingsharedvariables,RDDstorage,andpartitioningEfficientlyintegrateSparkwithbothSQLandnonrelationaldatastoresPerformstreamprocessingandmessagingwithSparkStreamingandApacheKafkaImplementpredictivemodelingwithSparkRandSparkMLlibI:SparkFoundations1IntroducingBigData,Hadoop,an

修改osiris开源虹膜算法，使用python编写GUI。
软件实现虹膜拍照（需有红外摄像头）录入与验证功能。

使用python代理池爬虫亚马逊网站时所需要的redis文件和proxy_pool文件，结合文章https://blog.csdn.net/Qiaozian/article/details/113521867使用

pandas-0.24.2-cp36-cp36m-win_amd64缺少pandas模块可以下载此文件

VSc++调用Python3.7.x版本的程序，缺少python37_d.lib链接库，这里为你提供，亲测可以使用。

利用拉格朗日插值法求插值函数，显示其图像、并使用实用误差估计法进行误差估计。

django+python+sqlite实现的简单登录注册功能的网页，运行环境为python+django

安装wxPython-4.0.7.post2-cp38-cp38-win_amd64.whl时，需要下载numpy-1.18.1-cp38-cp38-win_amd64.whl。
但是官网下载numpy-1.18.1-cp38-cp38-win_amd64.whl特别慢，还总是掉线，这里分享一下，希望对遇到同样问题的朋友有帮助。
(当前是最新版本，适用于python3.8)

异构信息网络中基于元路径APVPA的相似度PathSim实现，基于Path2.7