IiHacks zobomi kwinkomfa yethu ye-IT
Molweni, balandeli abathandekayo be-Intanethi yeZinto! Makhe ndikhumbuze wonke umntu ukuba igama lam ngu-Oleg Plotnikov. Ndingumlawuli weziko le-Intanethi ye-Intanethi yenkampani enkulu ye-Ural IT. Kutshanje silungiselele inkomfa enkulu ye-IT.IS. Ngokuqhelekileyo iindwendwe zazingekho ngaphezu kwamakhulu amathathu. Nangona kunjalo, ngeli xesha kukho into engalunganga kwaye isiphumo sadlula konke ebesikulindele. Kwiiveki ezimbini ngaphambi kokuqala kwenkomfa, phantse abantu abangama-800 babhalise kwiwebhusayithi. Kwingingqi yaseChelyabinsk oku kuyimpumelelo. Kodwa sasingenalo nofifi lokuba singayifaka njani le βmpumeleloβ eholweni kwaye singayoyikisi nenani lazo zonke izithethi zethu.
Ungothuki njani ukuba abadwelisi benkqubo beza kutyelela?
Ndiyabelana nawe ngamava ethu axabisekileyo ekuququzeleleni inkomfa yase-Ural IT.IS-2019.
Lo mbono ufike njani
Siya rhoqo kwiinkomfa ze-IT. Ngamava anika umdla ngokwenene kwaye anomvuzo. Kodwa ngaxa lithile siye sabona ukuba sasingenakusoloko sizifumanela into entsha apho. Ngokuchasene noko, thina ngokwethu sinento yokuthetha nento esingabelana ngayo. Kwaye ngaphandle kokufihla nantoni na, kuba oku kuya kunceda abanye baphephe iimpazamo.
Ubuchule babaphuhlisi baseChelyabinsk sele befikile kwinqanaba elitsha. Kwiminyaka nje embalwa edlulileyo kwakukho ukuphuma okukhulu kweengcali ezivela kwisixeko, kodwa ngoku yonke into iyatshintsha. Kuhlala kukho umsebenzi apha kwaye ungaphezulu kokuthembisa.
Iingcali zethu zinokuthetha ngokuzolileyo malunga nomjikelo wonke wemveliso yeemveliso ezikrelekrele - ukuqala ngombono kunye nokuphela kokuphunyezwa kobuchwepheshe. Lonke olu lwazi lunokufumaneka ngaphakathi kwesakhelo seengxelo kunye neendibano zocweyo, hayi ngeedosi, kodwa ngokupheleleyo nangokupheleleyo simahla.
Kwiminyaka emibini edlulileyo sabamba inkomfa yethu yokuqala ye-IT.IS. Ngabantu abali-100 kuphela abathathe inxaxheba kuyo β isiqingatha sabo ibingabasebenzi benkampani. Bathetha ngophuhliso lwewebhu, izicelo zeselula, kunye nombono we "Smart City" e-Chelyabinsk. I-dessert - unxibelelwano olungekho sikweni kunye nabo bonke abathathi-nxaxheba kunye ne-buffet.
Yintoni eyayingalunganga?
Kuthi βyayiluvavanyo losiba.β Kwakungekho mava aneleyo okulungiselela isiganeko esinjalo ngelo xesha. Sakhetha indawo eyayingafanelekanga kwaphela, apho wonke umntu wayengenako ukulingana ngokwasemzimbeni. Kwakukho izithethi ezimbalwa kwinkomfa, kwaye izihloko zazimbalwa, ngoko sayigqiba ngentsimbi yesi-5 saza sagoduka sizolile.
Yintoni yatshintshile?
Okokuqala, satshintsha indawo. Sakhetha iholo eliphangaleleyo elilungele oku, elinokuguqulwa ngokukhawuleza libe ziindawo ezininzi ezifanelekileyo. Iindwendwe ngoku ngaxeshanye zimamela iingxelo kumacandelo amathathu awohlukeneyo.
Okwesibini, simeme izithethi ezisuka kwezinye iinkampani. Emva koko, injongo yethu ayikona nje ukwabelana ngamava ethu, kodwa kunye nokudibanisa uluntu lwe-IT lommandla. Ukongeza kwiingcali ze-Intersvyaz, izithethi ezivela kwiQela le-Yii Core, i-Everpixel Media Innovation Group, i-ZABBIX, i-Yandex kunye ne-Google banike iintetho zabo.
Okwesithathu, siyitshintshile indlela yokujonga iingxelo. Sahlulahlula kwizihloko ezininzi ezidumileyo: ukufunda ngomatshini, ubukrelekrele bokwenziwa, uphuhliso lwezicelo eziphathwayo, iziseko zophuhliso, uthungelwano, iinkonzo kunye nomnxeba. Iingxelo ezingama-25 zizonke (ezi-6 kuzo zigcinwe) kunye nezithethi ezingama-28.
Inkomfa ngokwayo yandisiwe β ngoku ithatha iintsuku ezimbini ezipheleleyo. Ngosuku lokuqala, iindwendwe zinokumamela izithethi, zibonise umsebenzi wazo, zifumane ukugxekwa okwakhayo kunye nengxelo, kwaye zinxibelelane nezithethi kwi-buffet kwimeko engacwangciswanga. Usuku lwesibini lunikezelwe ngokupheleleyo kwiindibano zocweyo kunye neeklasi zeenkosi.
Kweneke ntoni?
I-IT.IS-2019 ibe yinkomfa yesine yoshishino lwasimahla kwinkampani yethu. Iindaba zokuba inomdla ngokwenene apha zasasazeka ngoko nangoko. Ikakhulu enkosi ngelizwi lomlomo. Kodwa sisamangaliswa xa inani lababhalisiweyo lidlula i-700. Ngokomgaqo, akukho baninzi abaprogram baseChelyabinsk, sacinga. Yaye babengaphazami. Abafana bagqiba ekubeni beze bevela kuwo wonke ummandla. Ukongeza kwiingcali ezikhoyo, kwakukho abafundi abaninzi. Wonke umntu ngokucacileyo akazange afaneleke kwinkomfa, kodwa asizange silurhoxise ubhaliso ngengozi yethu kunye nomngcipheko.
Akuzange kuthathe xesha lide ukuphakuzela. Sagqiba ekubeni sijonge imeko. Ngenxa yoko, kungekhona wonke umntu oza, kodwa kuphela i-60% yabathathi-nxaxheba ababhalisiweyo. Kodwa nako oku kwakwanele ukuziva ukuba zibaluleke kangakanani iinkomfa ezinjalo ebantwini.
Owona mbuzo uxhaphakileyo ibisithi "kutheni isimahla?" Ndiyaphendula - kutheni kungenjalo?
Sikwazile ukuqokelela abantu abanengqondo efanayo, abo olu hambo alubizi nto, kodwa ngokubuyisela bazise amava aluncedo, abantu esibaziyo abanomdla, ulwazi olutsha, izivumelwano kunye noqhagamshelo lweshishini.
Inkqubo yenkomfa
Inkomfa yethu iye yaneziganeko ezininzi. Izithethi zibonise izisombululo ezininzi zamashishini avulekileyo. Ezona zazidume kakhulu zezi zilandelayo:
Iingxelo:
Injineli yeSRE kaGoogle uKonstantin Khankin:
Ndifunde njani Ukuyeka ukuxhalaba kwaye ndithande iPager
Ingxelo kaKonstantin Khankin ichaze imigaqo esisiseko yomsebenzi we-SRE kwiGoogle: isebe eligxile ekuthembekeni nasekugcinweni kweenkqubo ezinkulu. I-SREs kwiGoogle ayigcini nje ukubeka iliso kwimpilo yeenkonzo, kodwa kwakhona ingqalelo ekuqinisekiseni ukuba iinkqubo zilula ukuphuhlisa nokugcina ngemigudu yeqela elincinci.
INjineli yeSebe lokuFunda loMatshini e-Intersvyaz Yulia Smetanina:
Indlela uMethodius awaba nguAnna ngayo: amava ekuphuhliseni nasekusunguleni abahlalutyi bemiyalezo yelizwi
Le ngxelo imalunga neempawu kunye neengxaki esiye sadibana nazo xa sisenza ngokuzenzekelayo ukusetyenzwa kwezicelo zelizwi lomthengi. Sikuxelele ukuba yeyiphi na indlela eya kufuneka ithathwe ukusuka ekuqeqesheni umdidiyeli wesifundo sokufowuna ukuya ekuphumezeni inkqubo yemveliso. Kwaye kutheni, xa usombulula iingxaki ezisebenzayo, kubalulekile ukuba ungacingi kakhulu malunga ne-stacking kunye ne-neural networks, kodwa malunga noyilo lwe-interfaces yomsebenzisi kunye neengqondo zabantu.
UMlawuli weeMveliso kunye noTshintsho kwi-Intersvyaz Alexander Trofimov:
Ukusetyenziswa kwe-Agile kuphuhliso lwe-hardware
Le ngxelo imalunga nokusetyenziswa kwe-Agile kuphuhliso lwe-elektroniki. Malunga namava amahle kunye namaraki, kunye malunga nokuba ngaba abathengi kunye nabadlali abathatha isigqibo sokusebenza besebenzisa i-Agile kwiprojekthi enxulumene ne-hardware kufuneka balungiselele.
UMlawuli weZiko le-Intanethi ye-Intanethi e-Intersvyaz Oleg Plotnikov (ndim lowo, ndim lowo): Ukuzalisa isixeko esilumkileyo
Ndathetha ngomkhombandlela wam wesixeko esikrelekrele. Ukulawulwa kwezinto zokufudumeza, ukuthunyelwa kwezindlu kunye neenkonzo zoluntu, ukulawula ukukhanya, ukubeka iliso kwendalo, sele ndibhale malunga nezinto ezininzi kumanqaku am. Ndiza kubhala ngenye into.
Iiklasi zeMasters:
Iworkshop evela kwintloko yesebe lophuhliso lweNkampani ye-Intersvyaz u-Ivan Bagaev kunye nentloko yeqela lophuhliso lwesicelo sewebhu uNikolai Philip:
Ukulungiselela iprojekthi yewebhu kwimithwalo ephezulu
Kumasifundisane, abaququzeleli bathathe umsebenzi ocacileyo wokubeka iliso kwimisitho, ephunyezwe kwi-PHP kunye nesakhelo se-YII. Sijonge iindlela eziqhelekileyo kunye nezixhobo zokuphucula iiprojekthi ze-PHP kwimithwalo ephezulu. Ngenxa yoko, kwiyure enesiqingatha kwakunokwenzeka ukwandisa imveliso yeprojekthi ngemiyalelo emininzi yobukhulu. Ngokubanzi, iworkshop yenzelwe abaphuhlisi benqanaba eliphakathi, kodwa ngokophononongo, nabanye abaphuhlisi abanamava bafumana izinto ezintsha zokufunda.
Iworkshop evela kumphuhlisi, ingcali yohlalutyo lwedatha kwiprojekthi yeYandex.Vzglyad. UAlexey Sotov:
Ukwazi i-Fastai neural network framework
Abathathi-nxaxheba bacubungule isicatshulwa besebenzisa i-neural networks besebenzisa i-Fast AI framework. Sijonge ukuba yintoni imodeli yolwimi kunye nendlela yokuyiqeqesha, indlela yokusombulula iingxaki zokuhlelwa kunye nokuveliswa kweetekisi.
Iworkshop evela kwiinjineli zesebe lokufunda koomatshini benkampani ye-Intersvyaz uYuri Dmitrin kunye noYuri Samusevich:
Ukufunda ngokunzulu ukuqondwa kwezinto kwimifanekiso
Abafana bancedisa ukuxazulula ingxaki yokuqaphela izinto kwimifanekiso usebenzisa i-neural network architectures e-Keras. Kwaye abathathi-nxaxheba bavavanya ukuba zeziphi iindlela zokulungiswa kwedatha zikhona, zeziphi ii-hyperparameters ezichaphazelayo ngexesha loqeqesho, kunye nendlela ukongezwa kwedatha kunokuphucula umgangatho wemodeli.
Siphinde sahamba kancinci kunye nokutya kwitafile ye-buffet, ngoko ke kwakwanele kungekuphela nje kwiindibano zocweyo eziqhutywe ngosuku lwesibini lwenkomfa, kodwa kunye nesidlo sakusasa esipheleleyo kunye nabalingane eofisini.
Izicatshulwa zazo zonke iindibano zocweyo ziyafumaneka kwiwebhusayithi yenkomfa
Kwaye unokubukela imbonakalo yenkomfa yeendwendwe kunye nabathathi-nxaxheba kwividiyo
VIDEO
umthombo: www.habr.com