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AIwithPython
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AbouttheTutorial
Artificialintelligenceistheintelligencedemonstratedbymachines,incontrasttotheintelligencedisplayedbyhumans.
ThistutorialcoversthebasicconceptsofvariousfieldsofartificialintelligencelikeArtificialNeuralNetworks,NaturalLanguageProcessing,MachineLearning,DeepLearning,Geneticalgorithmsetc.,anditsimplementationinPython.
Audience
Thistutorialwillbeusefulforgraduates,postgraduates,andresearchstudentswhoeitherhaveaninterestinthissubjectorhavethissubjectasapartoftheircurriculum.Thereadercanbeabeginneroranadvancedlearner.
Prerequisites
WeassumethatthereaderhasbasicknowledgeaboutArtificialIntelligenceandPythonprogramming.He/sheshouldbeawareaboutbasicterminologiesusedinAIalongwithsomeusefulpythonpackageslikenltk,OpenCV,pandas,OpenAIGym,etc.
Copyright&Disclaimer
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TableofContents
TOC\o"1-2"\h\z\u
AbouttheTutorial i
Audience i
Prerequisites i
Copyright&Disclaimer i
TableofContents ii
AIwithPython–PrimerConcepts 1
BasicConceptofArtificialIntelligence(AI) 1
TheNecessityofLearningAI 1
WhatisIntelligence? 2
WhatisIntelligenceComposedOf? 3
Learning?l 4
What’sInvolvedinAI 6
ApplicationofAI 6
CognitiveModeling:SimulatingHumanThinkingProcedure 7
Agent&Environment 8
AIwithPython–GettingStarted 9
WhyPythonforAI 9
FeaturesofPython 9
InstallingPython 10
SettingupPATH 11
RunningPython 12
ScriptfromtheCommand-line 13
IntegratedDevelopmentEnvironment 13
AIwithPython–MachineLearning 15
TypesofMachineLearning(ML) 15
MostCommonMachineLearningAlgorithms 16
AIwithPython–DataPreparation 20
PreprocessingtheData 20
TechniquesforDataPreprocessing 21
LabelingtheData 23
AIwithPython–SupervisedLearning:Classification 26
StepsforBuildingaClassifierinPython 26
BuildingClassifierinPython 29
LogisticRegression 34
DecisionTreeClassifier 37
RandomForestClassifier 39
Performanceofaclassifier 40
ClassImbalanceProblem 42
EnsembleTechniques 43
AIwithPython–SupervisedLearning:Regression 44
BuildingRegressorsinPython 44
AIwithPython–LogicProgramming 49
HowtoSolveProblemswithLogicProgramming 49
InstallingUsefulPackages 50
ExamplesofLogicProgramming 50
CheckingforPrimeNumbers 51
SolvingPuzzles 52
AIwithPython–UnsupervisedLearning:Clustering 55
WhatisClustering? 55
AlgorithmsforClusteringtheData 55
MeasuringtheClusteringPerformance 61
CalculatingSilhouetteScore 61
FindingNearestNeighbors 63
K-NearestNeighborsClassifier 65
AIwithPython–NaturalLanguageProcessing 69
ComponentsofNLP 69
DifficultiesinNLU 69
NLPTerminology 70
StepsinNLP 70
AIwithPython–NLTKpackage 72
ImportingNLTK 72
DownloadingNLTK’sData 72
InstallingOtherNecessaryPackages 73
ConceptofTokenization,Stemming,andLemmatization 73
Chunking:DividingDataintoChunks 75
Typesofchunking 76
BagofWord(BoW)Model 77
ConceptoftheStatistics 78
BuildingaBagofWordsModelinNLTK 79
SolvingProblems 79
TopicModeling:IdentifyingPatternsinTextData 84
AlgorithmsforTopicModeling 84
AIwithPython–AnalyzingTimeSeriesData 86
Introduction 86
InstallingUsefulPackages 86
Pandas:Handling,SlicingandExtractingStatisticfromTimeSeriesData 87
ExtractingStatisticfromTimeSeriesData 91
AnalyzingSequentialDatabyHiddenMarkovModel(HMM) 95
Example:AnalysisofStockMarketdata 96
AIwithPython–SpeechRecognition 99
BuildingaSpeechRecognizer 99
VisualizingAudioSignals-ReadingfromaFileandWorkingonit 100
CharacterizingtheAudioSignal:TransformingtoFrequencyDomain 102
GeneratingMonotoneAudioSignal 104
FeatureExtractionfromSpeech 106
RecognitionofSpokenWords 108
AIwithPython–HeuristicSearch 111
ConceptofHeuristicSearchinAI 111
DifferencebetweenUninformedandInformedSearch 111
RealWorldProblemSolvedbyConstraintSatisfaction 112
AIwithPython–Gaming 115
SearchAlgorithms 115
CombinationalSearch 115
MinimaxAlgorithm 115
Alpha-BetaPruning 116
NegamaxAlgorithm 116
BuildingBotstoPlayGames 116
ABottoPlayLastCoinStanding 116
ABottoPlayTicTacToe 119
AIwithPython–NeuralNetworks 122
WhatisArtificialNeuralNetworks(ANN) 122
InstallingUsefulPackages 122
BuildingNeuralNetworks 122
PerceptronbasedClassifier 123
Single-LayerNeuralNetworks 124
Multi-LayerNeuralNetworks 127
AIwithPython–ReinforcementLearning 131
BasicsofReinforcementLearning 131
BuildingBlocks:EnvironmentandAgent 131
ConstructinganEnvironmentwithPython 133
ConstructingalearningagentwithPython 134
AIwithPython–GeneticAlgorithms 135
WhatareGeneticAlgorithms? 135
HowtoUseGAforOptimizationProblems? 135
InstallingNecessaryPackages 136
ImplementingSolutionsusingGeneticAlgorithms 136
AIwithPython–ComputerVision 142
ComputerVision 142
ComputerVisionVsImageProcessing 142
InstallingUsefulPackages 143
Reading,WritingandDisplayinganImage 144
ColorSpaceConversion 145
EdgeDetection 147
FaceDetection 148
EyeDetection 149
AIwithPython–DeepLearning 151
MachineLearningv/sDeepLearning 151
ConvolutionalNeuralNetwork(CNN) 151
InstallingUsefulPythonPackages 152
BuildingLinearRegressorusingANN 153
ImageClassifier:AnApplicationofDeepLearning 154
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1
AIwithPython
AIwithPython–PrimerConcepts
Sincetheinventionofcomputersormachines,theircapabilitytoperformvarioustaskshasexperiencedanexponentialgrowth.Humanshavedevelopedthepowerofcomputersystemsintermsoftheirdiverseworkingdomains,theirincreasingspeed,andreducingsizewithrespecttotime.
AbranchofComputerSciencenamedArtificialIntelligencepursuescreatingthecomputersormachinesasintelligentashumanbeings.
BasicConceptofArtificialIntelligence(AI)
AccordingtothefatherofArtificialIntelligence,JohnMcCarthy,itis“Thescienceandengineeringofmakingintelligentmachines,especiallyintelligentcomputerprograms”.
ArtificialIntelligenceisawayofmakingacomputer,acomputer-controlledrobot,orasoftwarethinkintelligently,inthesimilarmannertheintelligenthumansthink.AIisaccomplishedbystudyinghowhumanbrainthinksandhowhumanslearn,decide,andworkwhiletryingtosolveaproblem,andthenusingtheoutcomesofthisstudyasabasisofdevelopingintelligentsoftwareandsystems.
Whileexploitingthepowerofthecomputersystems,thecuriosityofhuman,leadhimtowonder,“Canamachinethinkandbehavelikehumansdo?”
Thus,thedevelopmentofAIstartedwiththeintentionofcreatingsimilarintelligenceinmachinesthatwefindandregardhighinhumans.
TheNecessityofLearningAI
AsweknowthatAIpursuescreatingthemachinesasintelligentashumanbeings.TherearenumerousreasonsforustostudyAI.Thereasonsareasfollows:
AIcanlearnthroughdata
Inourdailylife,wedealwithhugeamountofdataandhumanbraincannotkeeptrackofsomuchdata.Thatiswhyweneedtoautomatethethings.Fordoingautomation,weneedtostudyAIbecauseitcanlearnfromdataandcandotherepetitivetaskswithaccuracyandwithouttiredness.
AIcanteachitself
Itisverynecessarythatasystemshouldteachitselfbecausethedataitselfkeepschangingandtheknowledgewhichisderivedfromsuchdatamustbeupdatedconstantly.WecanuseAItofulfillthispurposebecauseanAIenabledsystemcanteachitself.
AIcanrespondinrealtime
Artificialintelligencewiththehelpofneuralnetworkscananalyzethedatamoredeeply.Duetothiscapability,AIcanthinkandrespondtothesituationswhicharebasedontheconditionsinrealtime.
AIwithPython
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AIachievesaccuracy
Withthehelpofdeepneuralnetworks,AIcanachievetremendousaccuracy.AIhelpsinthefieldofmedicinetodiagnosediseasessuchascancerfromtheMRIsofpatients.
AIcanorganizedatatogetmostoutofit
Thedataisanintellectualpropertyforthesystemswhichareusingself-learningalgorithms.WeneedAItoindexandorganizethedatainawaythatitalwaysgivesthebestresults.
UnderstandingIntelligence
WithAI,smartsystemscanbebuilt.Weneedtounderstandtheconceptofintelligencesothatourbraincanconstructanotherintelligencesystemlikeitself.
WhatisIntelligence?
Theabilityofasystemtocalculate,reason,perceiverelationshipsandanalogies,learnfromexperience,storeandretrieveinformationfrommemory,solveproblems,comprehendcomplexideas,usenaturallanguagefluently,classify,generalize,andadaptnewsituations.
TypesofIntelligence
AsdescribedbyHowardGardner,anAmericandevelopmentalpsychologist,Intelligencecomesinmultifold:
Intelligence
Description
Example
Linguisticintelligence
Theabilitytospeak,recognize,andusemechanismsofphonology(speechsounds),syntax(grammar),andsemantics(meaning).
Narrators,Orators
Musicalintelligence
Theabilitytocreate,communicatewith,andunderstandmeaningsmadeofsound,understandingofpitch,rhythm.
Musicians,Singers,Composers
Logical-mathematicalintelligence
Theabilitytouseandunderstandrelationshipsintheabsenceofactionorobjects.Itisalsotheabilitytounderstandcomplexandabstractideas.
Mathematicians,Scientists
Spatialintelligence
Theabilitytoperceivevisualorspatialinformation,changeit,andre-createvisualimageswithoutreferencetotheobjects,construct3D
Map readers,Astronauts,Physicists
images,andtomoveandrotatethem.
Bodily-Kinestheticintelligence
Theabilitytousecompleteorpartofthebodytosolveproblemsorfashionproducts,controloverfineandcoarsemotorskills,andmanipulatetheobjects.
Players,Dancers
Intra-personalintelligence
Theabilitytodistinguishamongone’sownfeelings,intentions,andmotivations.
GautamBuddhha
Interpersonalintelligence
Theabilitytorecognizeandmakedistinctionsamongotherpeople’sfeelings,beliefs,andintentions.
MassCommunicators,Interviewers
Youcansayamachineorasystemisartificiallyintelligentwhenitisequippedwithatleastoneorallintelligencesinit.
WhatisIntelligenceComposedOf?
Theintelligenceisintangible.Itiscomposedof?
Reasoning
Learning
ProblemSolving
Perception
LinguisticIntelligence
Letusgothroughallthecomponentsbriefly?
Reasoning
Itisthesetofprocessesthatenableustoprovidebasisforjudgement,makingdecisions,andprediction.Therearebroadlytwotypes?
InductiveReasoning
DeductiveReasoning
Itconductsspecificobservationstomakesbroadgeneralstatements.
Itstartswithageneralstatement and
examines thepossibilitiestoreachaspecific, logicalconclusion.
Evenifallofthepremisesaretrueinastatement,inductivereasoningallowsfortheconclusiontobefalse.
Ifsomethingistrueofaclassofthingsingeneral,itisalsotrueforallmembersofthatclass.
Example?"Nitaisateacher.Nitaisstudious.Therefore,Allteachersarestudious."
Example?"Allwomenofageabove60yearsaregrandmothers.Shaliniis65years.Therefore,Shaliniisagrandmother."
Learning?l
Theabilityoflearningispossessedbyhumans,particularspeciesofanimals,andAI-enabledsystems.Learningiscategorizedasfollows?
AuditoryLearning
Itislearningbylisteningandhearing.Forexample,studentslisteningtorecordedaudiolectures.
EpisodicLearning
Tolearnbyrememberingsequencesofeventsthatonehaswitnessedorexperienced.Thisislinearandorderly.
MotorLearning
Itislearningbyprecisemovementofmuscles.Forexample,pickingobjects,writing,etc.
ObservationalLearning
Tolearnbywatchingandimitatingothers.Forexample,childtriestolearnbymimickingherparent.
PerceptualLearning
Itislearningtorecognizestimulithatonehasseenbefore.Forexample,identifyingandclassifyingobjectsandsituations.
RelationalLearning
Itinvolveslearningtodifferentiateamongvariousstimulionthebasisofrelationalproperties,ratherthanabsoluteproperties.ForExample,Adding‘littleless’saltatthetimeofcookingpotatoesthatcameupsaltylasttime,whencookedwithaddingsayatablespoonofsalt.
SpatialLearning?Itislearningthroughvisualstimulisuchasimages,colors,maps,etc.Forexample,Apersoncancreateroadmapinmindbeforeactuallyfollowingtheroad.
Stimulus-ResponseLearning?Itislearningtoperformaparticularbehaviorwhenacertainstimulusispresent.Forexample,adograisesitsearonhearingdoorbell.
ProblemSolving
Itistheprocessinwhichoneperceivesandtriestoarriveatadesiredsolutionfromapresentsituationbytakingsomepath,whichisblockedbyknownorunknownhurdles.
Problemsolvingalsoincludesdecisionmaking,whichistheprocessofselectingthebestsuitablealternativeoutofmultiplealternativestoreachthedesiredgoal.
Perception
Itistheprocessofacquiring,interpreting,selecting,andorganizingsensoryinformation.
Perceptionpresumessensing.Inhumans,perceptionisaidedbysensoryorgans.InthedomainofAI,perceptionmechanismputsthedataacquiredbythesensorstogetherinameaningfulmanner.
LinguisticIntelligence
Itisone’sabilitytouse,comprehend,speak,andwritetheverbalandwrittenlanguage.Itisimportantininterpersonalcommunication.
What’sInvolvedinAI
Artificialintelligenceisavastareaofstudy.Thisfieldofstudyhelpsinfindingsolutionstorealworldproblems.
LetusnowseethedifferentfieldsofstudywithinAI:
MachineLearning
ItisoneofthemostpopularfieldsofAI.Thebasicconceptofthisfiledistomakethemachinelearningfromdataasthehumanbeingscanlearnfromhis/herexperience.Itcontainslearningmodelsonthebasisofwhichthepredictionscanbemadeonunknowndata.
Logic
Itisanotherimportantfieldofstudyinwhichmathematicallogicisusedtoexecutethecomputerprograms.Itcontainsrulesandfactstoperformpatternmatching,semanticanalysis,etc.
Searching
Thisfieldofstudyisbasicallyusedingameslikechess,tic-tac-toe.Searchalgorithmsgivetheoptimalsolutionaftersearchingthewholesearchspace.
Artificialneuralnetworks
Thisisanetworkofefficientcomputingsystemsthecentralthemeofwhichisborrowedfromtheanalogyofbiologicalneuralnetworks.ANNcanbeusedinrobotics,speechrecognition,speechprocessing,etc.
GeneticAlgorithm
Geneticalgorithmshelpinsolvingproblemswiththeassistanceofmorethanoneprogram.Theresultwouldbebasedonselectingthefittest.
KnowledgeRepresentation
Itisthefieldofstudywiththehelpofwhichwecanrepresentthefactsinawaythemachinethatisunderstandabletothemachine.Themoreefficientlyknowledgeisrepresented;themoresystemwouldbeintelligent.
ApplicationofAI
Inthissection,wewillseethedifferentfieldssupportedbyAI:
Gaming
AIplayscrucialroleinstrategicgamessuchaschess,poker,tic-tac-toe,etc.,wheremachinecanthinkoflargenumberofpossiblepositionsbasedonheuristicknowledge.
NaturalLanguageProcessing
Itispossibletointeractwiththecomputerthatunderstandsnaturallanguagespokenbyhumans.
ExpertSystems
Therearesomeapplicationswhichintegratemachine,software,andspecialinformationtoimpartreasoningandadvising.Theyprovideexplanationandadvicetotheusers.
VisionSystems
Thesesystemsunderstand,interpret,andcomprehendvisualinputonthecomputer.Forexample,
Aspyingaeroplanetakesphotographs,whichareusedtofigureoutspatialinformationormapoftheareas.
Doctorsuseclinicalexpertsystemtodiagnosethepatient.
Policeusecomputersoftwarethatcanrecognizethefaceofcriminalwiththestoredportraitmadebyforensicartist.
SpeechRecognition
Someintelligentsystemsarecapableofhearingandcomprehendingthelanguageintermsofsentencesandtheirmeaningswhileahumantalkstoit.Itcanhandledifferentaccents,slangwords,noiseinthebackground,changeinhuman’snoiseduetocold,etc.
HandwritingRecognition
Thehandwritingrecognitionsoftwarereadsthetextwrittenonpaperbyapenoronscreenbyastylus.Itcanrecognizetheshapesofthelettersandconvertitintoeditabletext.
IntelligentRobots
Robotsareabletoperformthetasksgivenbyahuman.Theyhavesensorstodetectphysicaldatafromtherealworldsuchaslight,heat,temperature,movement,sound,bump,andpressure.Theyhaveefficientprocessors,multiplesensorsandhugememory,toexhibitintelligence.Inaddition,theyarecapableoflearningfromtheirmistakesandtheycanadapttothenewenvironment.
CognitiveModeling:SimulatingHumanThinkingProcedure
Cognitivemodelingisbasicallythefieldofstudywithincomputersciencethatdealswiththestudyandsimulatingthethinkingprocessofhumanbeings.ThemaintaskofAIistomakemachinethinklikehuman.Themostimportantfeatureofhumanthinkingprocessisproblemsolving.Thatiswhymoreorlesscognitivemodelingtriestounderstandhowhumanscansolvetheproblems.AfterthatthismodelcanbeusedforvariousAIapplicationssuchasmachinelearning,robotics,naturallanguageprocessing,etc.Followingisthediagramofdifferentthinkinglevelsofhumanbrain:
Cognitive
Behaviora
Physical
Kinematic
Geometri
Agent&Environment
Inthissection,wewillfocusontheagentandenvironmentandhowthesehelpinArtificialIntelligence.
Agent
Anagentisanythingthatcanperceiveitsenvironmentthroughsensorsandactsuponthatenvironmentthrougheffectors.
Ahumanagenthassensoryorganssuchaseyes,ears,nose,tongueandskinparalleltothesensors,andotherorganssuchashands,legs,mouth,foreffectors.
Aroboticagentreplacescamerasandinfraredrangefindersforthesensors,andvariousmotorsandactuatorsforeffectors.
Asoftwareagenthasencodedbitstringsasitsprogramsandactions.
Environment
Someprogramsoperateinanentirelyartificialenvironmentconfinedtokeyboardinput,database,computerfilesystemsandcharacteroutputonascreen.
Incontrast,somesoftwareagents(softwarerobotsorsoftbots)existinrich,unlimitedsoftbotsdomains.Thesimulatorhasaverydetailed,complexenvironment.Thesoftwareagentneedstochoosefromalongarrayofactionsinrealtime.Asoftbotisdesignedtoscantheonlinepreferencesofthecustomerandshowsinterestingitemstothecustomerworksintherealaswellasanartificialenvironment.
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9
AIwithPython
AIwithPython–GettingStarted
Inthischapter,wewilllearnhowtogetstartedwithPython.WewillalsounderstandhowPythonhelpsforArtificialIntelligence.
WhyPythonforAI
Artificialintelligenceisconsideredtobethetrendingtechnologyofthefuture.Alreadythereareanumberofapplicationsmadeonit.Duetothis,manycompaniesandresearchersaretakinginterestinit.ButthemainquestionthatariseshereisthatinwhichprogramminglanguagecantheseAIapplicationsbedeveloped?TherearevariousprogramminglanguageslikeLisp,Prolog,C++,JavaandPython,whichcanbeusedfordevelopingapplicationsofAI.Amongthem,Pythonprogramminglanguagegainsahugepopularityandthereasonsareasfollows:
Simplesyntax&lesscoding
PythoninvolvesverylesscodingandsimplesyntaxamongotherprogramminglanguageswhichcanbeusedfordevelopingAIapplications.Duetothisfeature,thetestingcanbeeasierandwecanfocusmoreonprogramming.
InbuiltlibrariesforAIprojects
AmajoradvantageforusingPythonforAIisthatitcomeswithinbuiltlibraries.PythonhaslibrariesforalmostallkindsofAIprojects.Forexample,NumPy,SciPy,matplotlib,nltk,SimpleAIaresometheimportantinbuiltlibrariesofPython.
Opensource:Pythonisanopensourceprogramminglanguage.Thismakesitwidelypopularinthecommunity.
Canbeusedforbroadrangeofprogramming:Pythoncanbeusedforabroadrangeofprogrammingtaskslikesmallshellscripttoenterprisewebapplications.ThisisanotherreasonPythonissuitableforAIprojects.
FeaturesofPython
Pythonisahigh-level,interpreted,interactiveandobject-orientedscriptinglanguage.Pythonisdesignedtobehighlyreadable.ItusesEnglishkeywordsfrequentlywhereasotherlanguagesusepunctuation,andithasfewersyntacticalconstructionsthanotherlanguages.Python'sfeaturesincludethefollowing?
Easy-to-learn?Pythonhasfewkeywords,simplestructure,andaclearlydefinedsyntax.Thisallowsthestudenttopickupthelanguagequickly.
Easy-to-read?Pythoncodeismoreclearlydefinedandvisibletotheeyes.
Easy-to-maintain?Python'ssourcecodeisfairlyeasy-to-maintain.
Abroadstandardlibrary?Python'sbulkofthelibraryisveryportableandcross-platformcompatibleonUNIX,Windows,andMacintosh.
AIwithPython
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InteractiveMode?Pythonhassupportforaninteractivemodewhichallowsinteractivetestinganddebuggingofsnippetsofcode.
Portable?Pythoncanrunonawidevarietyofhardwareplatformsandhasthesameinterfaceonallplatforms.
Extendable?Wecanaddlow-levelmodulestothePythoninterpreter.Thesemodulesenableprogrammerstoaddtoorcustomizetheirtoolstobemoreefficient.
Databases?Pythonprovidesinterfacestoallmajorcommercialdatabases.
GUIProgramming?PythonsupportsGUIapplicationsthatcanbecreatedandportedtomanysystemcalls,librariesandwindowssystems,suchasWindowsMFC,Macintosh,andtheXWindowsystemofUnix.
Scalable?Pythonprovidesabetterstructureandsupportforlargeprogramsthanshellscripting.
ImportantfeaturesofPython
LetusnowconsiderthefollowingimportantfeaturesofPython:
ItsupportsfunctionalandstructuredprogrammingmethodsaswellasOOP.
Itcanbeusedasascriptinglanguageorcanbecompiledtobyte-codeforbuildinglargeapplications.
Itprovidesveryhigh-leveldynamicdatatypesandsupportsdynamictypechecking.
Itsupportsautomaticgarbagecollection.
ItcanbeeasilyintegratedwithC,C++,COM,ActiveX,CORBA,andJava.
InstallingPython
Pythondistributionisavailableforalargenumberofplatforms.YouneedtodownloadonlythebinarycodeapplicableforyourplatformandinstallPython.
Ifthebinarycodeforyourplatformisnotavailable,youneedaCcompilertocompilethesourcecodemanually.Compilingthesourcecodeoffersmoreflexibilityintermsofchoiceoffeaturesthatyourequireinyourinstallation.
HereisaquickoverviewofinstallingPythononvariousplatforms?
UnixandLinuxInstallation
FollowthesestepstoinstallPythononUnix/Linuxmachine.
OpenaWebbrowserandgoto
/downloads/
.
FollowthelinktodownloadzippedsourcecodeavailableforUnix/Linux.
Downloadandextractfiles.
EditingtheModules/Setupfileifyouwanttocustomizesomeoptions.
run./configurescript
make
makeinstall
ThisinstallsPythonatthestandardlocation/usr/local/binanditslibrariesat/usr/local/lib/pythonXXwhereXXistheversionofPython.
WindowsInstallation
FollowthesestepstoinstallPythononWindowsmachine.
OpenaWebbrowserandgoto
/downloads/
.
FollowthelinkfortheWindowsinstallerpython-XYZ.msifilewhereXYZistheversionyouneedtoinstall.
Tousethisinstallerpython-XYZ.msi,theWindowssystemmustsupportMicrosoftInstaller2.0.SavetheinstallerfiletoyourlocalmachineandthenrunittofindoutifyourmachinesupportsMSI.
Runthedownloadedfile.ThisbringsupthePythoninstallwizard,whichisreallyeasytouse.Justacceptthedefaultsettingsandwaituntiltheinstallisfinished.
MacintoshInstallation
IfyouareonMacOSX,itisrecommendedthatyouuseHomebrewtoinstallPython3.ItisagreatpackageinstallerforMacOSXanditisreallyeasytouse.Ifyoudon'thaveHomebrew,youcaninstallitusingthefollowingcommand:
$ruby-e"$(curl-fsSL/Homebrew/install/master/install)"
Wecanupdatethepackagemanagerwiththecommandbelow:
$brewupdate
NowrunthefollowingcommandtoinstallPython3onyoursystem:
$brewinstallpython3
SettingupPATH
Programsandotherexecutablefilescanbeinmanydirectories,sooperatingsystemsprovideasearchpaththatliststhedirectoriesthattheOSsearchesforexecutables.
Thepathisstoredinanenvironmentvariable,whichisanamedstringmaintainedbytheoperatingsystem.Thisvariablecontainsinformationavailabletothecommandshellandotherprograms.
ThepathvariableisnamedasPATHinUnixorPathinWindows(Unixiscase-sensitive;Windowsisnot).
InMacOS,theinstallerhandlesthepathdetails.ToinvokethePythoninterpreterfromanyparticulardirectory,youmustaddthePythondirectorytoyourpath.
SettingPathatUnix/Linux
ToaddthePythondirectorytothepathforaparticularsessioninUnix?
Inthecshshell?typesetenvPATH"$PATH:/usr/local/bin/python"andpressEnter.
In the bash shell (Linux)? type exportATH="$PATH:/usr/local/bin/python"andpressEnter.
Intheshor
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