How C/C++ runs and its distribution in memory

C/C++ Restart? 1.0 Question: How does the written C++ code run? In the following order from left to right Writing source code Preprocessing Compilation Assembly Linking Loading Execute() Writing source code: writing in high-level programming languages, such as following C/C++ syntax rules to write good code correctly Preprocessing: Before compilation, the preprocessor processes header files […]

How to implement large-scale image management and distribution based on Harbor and Registry

Follow the “Wonderful World of Linux” on the public account Set it as a “star” and let you play Linux every day! 1. Challenges brought by Harbor’s cross-region If you simply store image data, Registry will be a good choice as an image warehouse. Registry not only supports multiple storage backends, but can also configure […]

Exclusive and original! The sparrow optimization algorithm that combines northern goshawk and adaptive t distribution has excellent results! Highly recommended product! MATLAB code…

Statement: Resale and reselling of the author’s original code is prohibited, and violators will be prosecuted! The sparrow search algorithm (SSA) was proposed in 2020 and has been widely used in many fields. The design of the Sparrow algorithm is inspired by the biological characteristics of birds. The mathematical model established based on the foraging […]

[C++]: Memory management: C++ memory distribution || Dynamic memory management in C++ (new || delete)

1. C/C++ memory distribution 【illustrate】 1. The stack is also called a stack – non-static local variables/function parameters/return values, etc. The stack grows downwards 2. Memory mapping segment is an efficient I/O mapping method, used to load a shared dynamic memory library. Users can use the system interface to create shared shared memory for inter-process […]

R language Bayesian METROPOLIS-HASTINGS GIBBS Gibbs sampler estimation change point exponential distribution analysis Poisson process station waiting time…

Original link: http://tecdat.cn/?p=26578 The exponential distribution is a probability distribution of the time between events in a Poisson process, so it is used to predict the waiting time until the next event, for example, the time you need to wait at a bus stop until the next bus arrives(< /strong>Click “Read the original text” at […]

R language Bayesian METROPOLIS-HASTINGS GIBBS Gibbs sampler estimation change point exponential distribution analysis Poisson process station waiting time…

Original link: http://tecdat.cn/?p=26578 The exponential distribution is a probability distribution of the time between events in a Poisson process, so it is used to predict the waiting time until the next event, for example, the time you need to wait at a bus stop until the next bus arrives(< /strong>Click “Read the original text” at […]

[Thermodynamics] Simulating two-dimensional transient heat conduction based on MATLAB allows users to analyze the temperature distribution changing with time and space.

?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For code acquisition, paper reproduction and scientific research simulation cooperation, please send a private message. Personal homepage: Matlab Research Studio Personal credo: Investigate things to gain knowledge. For more Matlab complete code and simulation customization […]

Use Python to analyze the distribution relationship between Luckin and Starbucks nationwide stores

WillLuckinshakeStarbucks’industrystatus? Lastmonth,LuckinCoffee’ssaucelattebecamepopular,puttingLuckininthespotlightagain.Thelasttimewaswhenitcommittedfinancialfraud. Thedomesticcoffeemarkethasbeenboominginrecentyears,drivingtherapiddevelopmentofmanycoffeebrandsincludingLuckin.From2013to2023,China’spercapitacoffeeconsumptionisexpectedtoincreaseby238%.Thetotalnumberofcoffeestoresinthecountrynowexceeds100,000.Andthenumberisgrowingbytensofthousandseveryyear. TheriseofLuckinCoffeeremindsusofStarbucks,thebenchmarkinthecoffeeindustry.Starbuckshasbeenalmostsynonymouswithcoffeeinthepasttenyearsandisalsothelifestyleofurbanwhite-collarworkers. WhatishappeningnowisthatwhereverthereisaStarbucksstore,thereisalmostaLuckinstorewithinafewhundredmeters,andsomeareevensurroundedbytwoorthree. ThefollowingusesvisualdashboardsandPythondataanalysistocomparethedifferencesandcorrelationsbetweenStarbucksandLuckinstoresintermsofquantity,regionaldistribution. Therearetwomainfindings: 1.StarbucksismoreconcentratedineconomicallydevelopedcoastalareassuchastheYangtzeRiverDelta,PearlRiverDelta,andBeijing-Tianjin-Hebei,especiallyfirst-andsecond-tiercities.LuckinismoredispersedthanStarbucksandhasstoresinmanythird-andfourth-tiercitiesandbelow. 2.LuckinstorelocationsareconcentratedaroundStarbucks.Datashowsthatwithinaradiusof500meters,thereareanaverageof0.6LuckinstoresaroundeachStarbucksstorenationwide. Preparationphase ThetoolsusedinthisanalysistaskincludeNextDataRobot,Python,andshapely. XiamiaoDataRobotisaclouddataplatformthatintegratesdatasets,datacleaning,dataanalysis,datavisualizationandbillboardconstruction.TheStarbucksandLuckinstoredatasetsusedinthisanalysisareallstoredinXiamiaoDataRobot. Wewilldevelopdatadashboardsbasedondatasets,andalsouseAPIinterfacestodirectlycallPythonfordataanalysisandvisualization.Pythonisusedtoconnecttothedatainterfaceoftherobotandprocessandanalyzethedata. Shapelyisathird-partylibraryforPython,usedtoprocesslatitudeandlongitudedata,andcandeterminethedistanceandinclusionrelationshipbetweendifferentgeographicalcoordinates. Dataset BecauseweneedtocompareandanalyzethenumberandlocationofStarbucksandLuckinstores,themainfieldsofthedatasetincludestorename,longitude,latitude,andcity. ? Note:Thedatasetisin2022,andthereisaquantitativeerrorofabout20%. ? NationalStarbuckscoffeestoredataset:NationalLuckinCoffeeStoredataset: Bothdatasetsarestoredonthenextdatarobotplatform.Youcandirectlyviewandusethedatasetsthroughthedataview,whichwewillusetobuildadatadashboardlater. BecausePythonisneededtoprocessthedatalater,thedataneedstobeobtainedthroughtheAPIdatainterface.Itisveryconvenienttooperateandcanbesavedforlateruse. importrequests headers={“x-token”:”yourauthenticationtoken”} response=requests.get(“http://app.chafer.nexadata.cn/openapi/v1/sheet/sht22nId5uouP2/records?size=1&page=1”,headers=headers) print(response.json()) Buildananalysisdashboard ItisrelativelysimpletobuildadashboardontheNextDataRobot.First,createaprocesstaskandselecttwodataviews:StarbucksandLuckin. ThencreateaKanbanboardandeditthedesignchart,whichissimilartowhatweusuallydoonBIsoftware. Therearemorethanadozenchartformshere,whichcanbasicallymeetmostvisualizationscenarios. ComparisonofthenumberofStarbucksandLuckinstoresnationwide Asofthedatasettime(2022),thenumberofStarbucksstoresnationwideisexpectedtobe4,442,andthenumberofLuckinCoffeestoresnationwideisexpectedtobe3,904.Starbuckshas14%morestoresthanLuckin. Judgingfromthemagnitude,thetwoareveryclose,andLuckinisexpandingitsstoresataterrifyinggrowthrate.Takingthebusinessdistrictnearmyhomeasanexample,therewasonlyoneLuckinlastyear,andtherearethreethisyear. StarbucksismoredemandingthanRuixingintermsoflocation,storeopeningcost,storearea,andnumberofstoreemployees.Ruixingspecializesintakeout+takeout.ThisisalsothereasonwhyRuixingcanexpandrapidlyinadditiontomarketdemandfactors. Starbucksisdistributedinthetop20citiesacrossthecountry ThetopfivecitieswiththenumberofStarbucksstoresare:Shanghai,Beijing,Hangzhou,Shenzhen,andGuangzhou.Amongthetop20cities,thereare6intheYangtzeRiverDelta,5inthePearlRiverDelta,and2intheBeijing-Tianjin-Hebeiregion. ThenumberofStarbucksstoresinShanghaiis668,whichistwiceasmanyasthesecond-placeBeijing.Atthesametime,ShanghaiisalsothecitywiththelargestnumberofStarbucksstoresintheworld.ItseemsthatthepeopleofShanghaihaveawell-deservedloveforcoffee. ThenumberofStarbucksinHangzhouissecondonlytoShanghaiandBeijing,andhigherthanShenzhenandGuangzhou.Internetande-commercepractitionersinHangzhoualsopreferStarbucks. LuckinisdistributedinTop20citiesacrossthecountry ThetopfivecitieswiththenumberofLuckinstoresare:Shanghai,Beijing,Guangzhou,Shenzhen,andHangzhou.TheyarethesameasthetopfivecitiesforStarbucks,buttheorderingisslightlydifferent. Amongthetop20cities,thereare6intheYangtzeRiverDelta,2inthePearlRiverDelta,and2intheBeijing-Tianjin-Hebeiregion. Starbucksismainlyconcentratedinfirst-andsecond-tiercoastalcities,whileLuckinisrapidlyoccupyingthemarketininlandcities.Luckin’stop20citiesalreadyincludeHefei,Kunming,andZhengzhou,butthesethreeprovincialcapitalcitiesarenotinStarbucks’top20. Therefore,thedistributionofLuckinstoresismoredispersedandnotoverlyconcentratedinfirst-tiercities. Starbucksnationwidedistributionheatmap ItcanalsobeseenfromtheheatmapofStarbucksstoresthattheredhigh-densityareasaremainlyconcentratedincoastalareas,whiletheinlandareasaredistributedinapoint-likemannerandarerelativelysparse. Ruixing’snationwidedistributionheatmap ThedistributionofLuckinstoresismoreeven.Inadditiontocoastalareas,therearealsomanystoresincentralChinasuchasHunan,Anhui,Hubei,andHunan. StarbucksShanghaidistributionheatmap Shanghaiisthecitywiththelargestcoffeeconsumptiondemandinthecountry.Let’stakealookatthedistributionofStarbucksstoresinShanghai. Generallyspeaking,StarbucksstoresareconcentratedintheinnerringofShanghai,andarescatteredoutwardsindottedlines.Thefivemajornewcitiesinthesuburbs,PudongAirport,andHongqiaohubarealsorelativelyconcentratedareas. LuckinShanghaidistributionheatmap TheconcentrationofLuckinintheinnerringofShanghaiisnotasobviousasthatofStarbucks,andtheoverallnumberisalsomuchsmaller. Pythondataanalysis Previously,weanalyzedthedistributionofStarbucksandLuckinstoresacrossthecountrybybuildingavisualsignageontheNextMiaoRobot.Theregionaldifferencesarestillquiteobvious. Let’sfurtheranalyzetherelationshipbetweenStarbucksandLuckinstores.WeknowthatLuckinCoffeeisarisingstar.ItissaidthatthelocationofmanystoresmainlydependsonwhetherthereisaStarbucksnearby. […]

Use Python to analyze the distribution relationship between Luckin and Starbucks nationwide stores

Will Luckin shake Starbucks’ industry status? Last month, Luckin Coffee’s sauce latte became popular, putting Luckin in the spotlight again. The last time was when it committed financial fraud. The domestic coffee market has been booming in recent years, driving the rapid development of many coffee brands including Luckin. From 2013 to 2023, China’s per […]

Use Python to analyze the distribution relationship between Luckin and Starbucks nationwide stores

Will Luckin shake Starbucks’ industry status? Last month, Luckin Coffee’s sauce latte became popular, putting Luckin in the spotlight again. The last time was when it committed financial fraud. The domestic coffee market has been booming in recent years, driving the rapid development of many coffee brands including Luckin. From 2013 to 2023, China’s per […]