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零基礎(chǔ)學(xué)游戲UI設(shè)計(jì)
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現(xiàn)如今,各種通信與網(wǎng)絡(luò)連接設(shè)備與大眾生活的聯(lián)系日益密切。游戲UI是玩家與機(jī)器設(shè)備進(jìn)行交互的平臺(tái),這就導(dǎo)致人們對(duì)各種類型的游戲UI界面的要求越來(lái)越高,同時(shí)使得游戲UI設(shè)計(jì)行業(yè)飛速發(fā)展。零基礎(chǔ)學(xué)游戲UI設(shè)計(jì)應(yīng)廣大游戲UI設(shè)計(jì)者的需求,向讀者介紹如何設(shè)計(jì)既美觀又符合要求的游戲UI界面。零基礎(chǔ)學(xué)游戲UI設(shè)計(jì)主要依據(jù)初學(xué)者學(xué)習(xí)游戲UI設(shè)計(jì)的普遍規(guī)律安排內(nèi)容,由淺入深地講解初學(xué)者需要掌握和感興趣的基礎(chǔ)知識(shí)和操作技巧,全面解析各個(gè)知識(shí)點(diǎn)。全書結(jié)合實(shí)例進(jìn)行講解,詳細(xì)地介紹了制作的步驟和游戲的應(yīng)用技巧,使讀者能輕松地學(xué)習(xí)并掌握。零基礎(chǔ)學(xué)游戲UI設(shè)計(jì)共分為5章,主要內(nèi)容包括初識(shí)游戲UI設(shè)計(jì)、游戲UI的構(gòu)成元素、網(wǎng)頁(yè)游戲UI設(shè)計(jì)、網(wǎng)絡(luò)游戲UI設(shè)計(jì)和移動(dòng)端游戲UI設(shè)計(jì)。零基礎(chǔ)學(xué)游戲UI設(shè)計(jì)根據(jù)讀者學(xué)習(xí)的難易程度,以及在實(shí)際工作中的應(yīng)用需求來(lái)安排章節(jié),真正做到為讀者考慮,也讓不同程度的讀者更有針對(duì)性地學(xué)習(xí)內(nèi)容,彌補(bǔ)自己的弱項(xiàng),并有效幫助游戲UI設(shè)計(jì)愛好者提高操作速度與效率。零基礎(chǔ)學(xué)游戲UI設(shè)計(jì)知識(shí)點(diǎn)結(jié)構(gòu)清晰、內(nèi)容有針對(duì)性、實(shí)例精美實(shí)用,適合UI設(shè)計(jì)專業(yè)、網(wǎng)絡(luò)游戲設(shè)計(jì)專業(yè)和平面設(shè)計(jì)專業(yè)的師生以及UI設(shè)計(jì)人員和游戲UI設(shè)計(jì)愛好者閱讀。讀者可以掃描書中提供的二維碼,查看書中所有實(shí)例的微視頻、素材和PPT課件,補(bǔ)充書中遺漏的細(xì)節(jié)內(nèi)容。

胡雪梅 ·辦公軟件 ·7萬(wàn)字

Beginning C++ Game Programming
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GettogripswithprogrammingtechniquesandgamedevelopmentusingC++librariesandVisualStudio2019KeyFeatures*LearngamedevelopmentandC++withafun,example-drivenapproach*BuildclonesofpopulargamessuchasTimberman,ZombieSurvivalShooter,aco-oppuzzleplatformer,andSpaceInvaders*Discovertipstoexpandyourfinishedgamesbythinkingcritically,technically,andcreativelyBookDescriptionThesecondeditionofBeginningC++GameProgrammingisupdatedandimprovedtoincludethelatestfeaturesofVisualStudio2019,SFML,andmodernC++programmingtechniques.Withthisbook,you’llgetafunintroductiontogameprogrammingbybuildingfivefullyplayablegamesofincreasingcomplexity.You’lllearntobuildclonesofpopulargamessuchasTimberman,Pong,aZombiesurvivalshooter,acooppuzzleplatformerandSpaceInvaders.Thebookstartsbycoveringthebasicsofprogramming.You’llstudykeyC++topics,suchasobject-orientedprogramming(OOP)andC++pointers,andgetacquaintedwiththeStandardTemplateLibrary(STL).ThebookhelpsyoulearnaboutcollisiondetectiontechniquesandgamephysicsbybuildingaPonggame.Asyoubuildgames,you’llalsolearnexcitinggameprogrammingconceptssuchasparticleeffects,directionalsound(spatialization),OpenGLprogrammableshaders,spawningobjects,andmuchmore.Finally,you’llexploregamedesignpatternstoenhanceyourC++gameprogrammingskills.Bytheendofthebook,you’llhavegainedtheknowledgeyouneedtobuildyourowngameswithexcitingfeaturesfromscratchWhatyouwilllearn*SetupyourgamedevelopmentprojectinVisualStudio2019andexploreC++librariessuchasSFML*ExploreC++OOPbybuildingaPonggame*Understandcoregameconceptssuchasgameanimation,gamephysics,collisiondetection,scorekeeping,andgamesound*Useclasses,inheritance,andreferencestospawnandcontrolthousandsofenemiesandshootrapid-firemachineguns*Addadvancedfeaturestoyourgameusingpointers,references,andtheSTL*ScaleandreuseyourgamecodebylearningmoderngameprogrammingdesignpatternsWhothisbookisforThisbookisperfectforyouifyouhavenoC++programmingknowledge,youneedabeginner-levelrefreshercourse,oryouwanttolearnhowtobuildgamesorjustusegamesasanengagingwaytolearnC++.Whetheryouaspiretopublishagame(perhapsonSteam)orjustwanttoimpressfriendswithyourcreations,you’llfindthisbookuseful.

John Horton ·程序設(shè)計(jì) ·19.1萬(wàn)字

Python Machine Learning / Second Edition
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UnlockmodernmachinelearninganddeeplearningtechniqueswithPythonbyusingthelatestcutting-edgeopensourcePythonlibraries.AboutThisBook?SecondeditionofthebestsellingbookonMachineLearning?Apracticalapproachtokeyframeworksindatascience,machinelearning,anddeeplearning?UsethemostpowerfulPythonlibrariestoimplementmachinelearninganddeeplearning?GettoknowthebestpracticestoimproveandoptimizeyourmachinelearningsystemsandalgorithmsWhoThisBookIsForIfyouknowsomePythonandyouwanttousemachinelearninganddeeplearning,pickupthisbook.Whetheryouwanttostartfromscratchorextendyourmachinelearningknowledge,thisisanessentialandunmissableresource.Writtenfordevelopersanddatascientistswhowanttocreatepracticalmachinelearninganddeeplearningcode,thisbookisidealfordevelopersanddatascientistswhowanttoteachcomputershowtolearnfromdata.WhatYouWillLearn?Understandthekeyframeworksindatascience,machinelearning,anddeeplearning?HarnessthepowerofthelatestPythonopensourcelibrariesinmachinelearning?Exploremachinelearningtechniquesusingchallengingreal-worlddata?MasterdeepneuralnetworkimplementationusingtheTensorFlowlibrary?Learnthemechanicsofclassificationalgorithmstoimplementthebesttoolforthejob?Predictcontinuoustargetoutcomesusingregressionanalysis?Uncoverhiddenpatternsandstructuresindatawithclustering?DelvedeeperintotextualandsocialmediadatausingsentimentanalysisInDetailMachinelearningiseatingthesoftwareworld,andnowdeeplearningisextendingmachinelearning.Understandandworkatthecuttingedgeofmachinelearning,neuralnetworks,anddeeplearningwiththissecondeditionofSebastianRaschka’sbestsellingbook,PythonMachineLearning.ThoroughlyupdatedusingthelatestPythonopensourcelibraries,thisbookoffersthepracticalknowledgeandtechniquesyouneedtocreateandcontributetomachinelearning,deeplearning,andmoderndataanalysis.Fullyextendedandmodernized,PythonMachineLearningSecondEditionnowincludesthepopularTensorFlowdeeplearninglibrary.Thescikit-learncodehasalsobeenfullyupdatedtoincluderecentimprovementsandadditionstothisversatilemachinelearninglibrary.SebastianRaschkaandVahidMirjalili’suniqueinsightandexpertiseintroduceyoutomachinelearninganddeeplearningalgorithmsfromscratch,andshowyouhowtoapplythemtopracticalindustrychallengesusingrealisticandinterestingexamples.Bytheendofthebook,you’llbereadytomeetthenewdataanalysisopportunitiesintoday’sworld.Ifyou’vereadthefirsteditionofthisbook,you’llbedelightedtofindanewbalanceofclassicalideasandmoderninsightsintomachinelearning.Everychapterhasbeencriticallyupdated,andtherearenewchaptersonkeytechnologies.You’llbeabletolearnandworkwithTensorFlowmoredeeplythaneverbefore,andgetessentialcoverageoftheKerasneuralnetworklibrary,alongwiththemostrecentupdatestoscikit-learn.StyleandApproachPythonMachineLearningSecondEditiontakesapractical,hands-oncodingapproachsoyoucanlearnaboutmachinelearningbycodingwithPython.ThisbookmovesfluentlybetweenthetheoreticalprinciplesofmachinelearningandthepracticaldetailsofimplementationwithPython.

Sebastian Raschka Vahid Mirjalili ·程序設(shè)計(jì) ·13.3萬(wàn)字

Solutions Architect's Handbook
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FromfundamentalsanddesignpatternstothedifferentstrategiesforcreatingsecureandreliablearchitecturesinAWScloud,learneverythingyouneedtobecomeasuccessfulsolutionsarchitectKeyFeatures*Createsolutionsandtransformbusinessrequirementsintotechnicalarchitecturewiththispracticalguide*Understandvariouschallengesthatyoumightcomeacrosswhilerefactoringormodernizinglegacyapplications*Delveintosecurityautomation,DevOps,andvalidationofsolutionarchitectureBookDescriptionBecomingasolutionsarchitectgivesyoutheflexibilitytoworkwithcutting-edgetechnologiesanddefineproductstrategies.Thishandbooktakesyouthroughtheessentialconcepts,designprinciplesandpatterns,architecturalconsiderations,andallthelatesttechnologythatyouneedtoknowtobecomeasuccessfulsolutionsarchitect.Thisbookstartswithaquickintroductiontothefundamentalsofsolutionarchitecturedesignprinciplesandattributesthatwillassistyouinunderstandinghowsolutionarchitecturebenefitssoftwareprojectsacrossenterprises.You'lllearnwhatacloudmigrationandapplicationmodernizationframeworklookslike,andwillusemicroservices,event-driven,cache-based,andserverlesspatternstodesignrobustarchitectures.You'llthenexplorethemainpillarsofarchitecturedesign,includingperformance,scalability,costoptimization,security,operationalexcellence,andDevOps.Additionally,you'llalsolearnadvancedconceptsrelatingtobigdata,machinelearning,andtheInternetofThings(IoT).Finally,you'llgettogripswiththedocumentationofarchitecturedesignandthesoftskillsthatarenecessarytobecomeabettersolutionsarchitect.Bytheendofthisbook,you'llhavelearnedtechniquestocreateanefficientarchitecturedesignthatmeetsyourbusinessrequirements.Whatyouwilllearn*Explorethevariousrolesofasolutionsarchitectandtheirinvolvementintheenterpriselandscape*Approachbigdataprocessing,machinelearning,andIoTfromanarchitect'sperspectiveandunderstandhowtheyfitintomodernarchitecture*Discoverdifferentsolutionarchitecturepatternssuchasevent-drivenandmicroservicepatterns*Findwaystokeepyourselfupdatedwithnewtechnologiesandenhanceyourskills*Modernizelegacyapplicationswiththehelpofcloudintegration*GettogripswithchoosinganappropriatestrategytoreducecostWhothisbookisforThisbookisforsoftwaredevelopers,systemengineers,DevOpsengineers,architects,andteamleadersworkingintheinformationtechnologyindustrywhoaspiretobecomesolutionsarchitectprofessionals.Agoodunderstandingofthesoftwaredevelopmentprocessandgeneralprogrammingexperiencewithanylanguagewillbeuseful.

Saurabh Shrivastava Neelanjali Srivastav Kamal Arora ·程序設(shè)計(jì) ·13.2萬(wàn)字

Python爬蟲、數(shù)據(jù)分析與可視化:工具詳解與案例實(shí)戰(zhàn)
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本書根據(jù)大多數(shù)軟件公司對(duì)Python數(shù)據(jù)分析和可視化的需求,面向Python初學(xué)者講述爬蟲、數(shù)據(jù)分析、數(shù)據(jù)可視化和機(jī)器學(xué)習(xí)等方面的技術(shù)和實(shí)踐案例。全書共13章:第1~4章為基礎(chǔ)篇,主要講述Python基礎(chǔ)知識(shí)、Python數(shù)據(jù)結(jié)構(gòu)、面向?qū)ο缶幊趟枷搿ython異常處理和讀寫文件的技巧;第5~7章為數(shù)據(jù)分析的工具篇,主要講述NumPy庫(kù)、Pandas庫(kù)和Matplotlib庫(kù)的基本功能和應(yīng)用;第8、9章為數(shù)據(jù)分析高級(jí)技能篇,主要通過(guò)爬取技術(shù)博客案例講述基于Scrapy爬蟲框架的實(shí)用技巧,以及數(shù)據(jù)分析的常用方法;第10~13章為綜合案例篇,主要講述圖書分析案例、二手房數(shù)據(jù)分析案例、股票數(shù)據(jù)分析案例和基于sklearn庫(kù)的機(jī)器學(xué)習(xí)相關(guān)實(shí)踐,涉及線性回歸分析、嶺回歸分析、SVM分類、KNN分類和邏輯回歸等機(jī)器學(xué)習(xí)算法。本書語(yǔ)言通俗易懂,案例豐富,適合想要入職數(shù)據(jù)分析崗位的新手、大學(xué)生以及欲轉(zhuǎn)行進(jìn)入大數(shù)據(jù)分析領(lǐng)域的從業(yè)人員使用,也可以作為大專院校或培訓(xùn)機(jī)構(gòu)的教學(xué)用書。

成立明 胡書敏 黃勇 ·程序設(shè)計(jì) ·13.3萬(wàn)字

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