Ua hiki mai ka manawa no ka loiloi hope loa o nā hanana IT ma 2019. Hoʻopiha ʻia ke kaʻa hope loa, no ka hapa nui, me ka hoʻāʻo ʻana, DevOps, hoʻomohala kelepona, a me ka hoʻopuehu holoʻokoʻa o nā hui mai nā ʻano kaiāulu ʻōlelo (PHP, Java, Javascript, Ruby) a me nā hackathons ʻelua no ka poʻe i komo. ma ke aʻo ʻana i ka mīkini.
Āhea: ʻO 28 Nowemapa
ʻAuhea: Tver, st. Simeonovskaya, 30/27
Nā huaʻōlelo o ke komo ʻana: manuahi, pono ke kakau inoa
Ua mākaukau nā limahana o ke keʻena ʻo Epam Tver e kaʻana like i kā lākou ʻike e pili ana i ka hoʻomohala ʻana a me ka hoʻokele papahana ma kahi hālāwai hāmama. Ua kono ʻia nā loea a pau e hana ana ma ka ʻāpana IT. Ma ka papahana: hana me nā koi, kahi papa hana no ka hoʻokō ʻana i kahi hale hana microservices me ka nānā ʻana i nā pono a me nā pōʻino o ka gRPC i hoʻohālikelike ʻia me ka REST API, nā mana haʻahaʻa o Dev Tools, a me ke ʻano o ka helehelena a me nā kuleana o kahi ʻEnekinia Kūlana ʻIkepili ma ka hui.
Āhea: ʻO 28 Nowemapa
ʻAuhea: St. Petersburg, emb. Obvodny Canal, 136
Nā huaʻōlelo o ke komo ʻana: manuahi, pono ke kakau inoa
Ma ka lā hoʻokahi, e mālama ʻia kahi hālāwai hui hui ma kahi ʻokoʻa loa - i kēia manawa mai MDG. E kaʻana like nā ʻelele o ka ʻoihana i kā lākou ʻike ma ka hoʻomohala ʻana o Java ma nā hōʻike ʻelua: ʻo ka mea mua e nānā i ka hoʻomohala ʻana i kahi ʻōnaehana halihali maʻamau (ka pilina o nā lawelawe ma lalo o ka puʻu, nā koi, nā hana), ʻo ka lua e kālele ana i ka neʻe ʻana i ke ao me ka hoʻohana ʻana. ka laʻana o ka pahi ʻikepili.
Āhea: ʻO 28 Nowemapa
ʻAuhea: Moscow, Varshavskoe alanui, 9, hale 1, hale hana Danilovskaya, nā lālani Soldatenkov, komo 5
Nā huaʻōlelo o ke komo ʻana: manuahi, pono ke kakau inoa
ʻO ka hālāwai hope loa o ka hui Moscow Ruby i kēia makahiki e hoʻolaʻa ʻia i nā pilikia koʻikoʻi: loiloi code me ka ʻole o ka hana ʻino i loko o ke keʻena, kahi ʻike pragmatic o ka hoʻolālā maʻemaʻe o nā noi Ruby on Rails, ka hoʻonui ʻana i ke kumukūʻai ma AWS, nā microservices no nā hui liʻiliʻi, e hōʻuluʻulu ana. ma luna o ka pizza. Hiki ke hoʻonui ʻia ka papahana.
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I ka manawa a ma hea:
Nowemapa 29 - Kekemapa 1 - Novosibirsk (Nikolaeva St., 12, Akadempark)
Kekemapa 7 - Krasnodar (Krasnaya St., 109)
Nā huaʻōlelo o ke komo ʻana: 7999 rub.. 1750 rub.
E lohe ʻia nā mele hope loa o ka DevFest-2019 ma nā ʻāpana ʻelua o ka ʻāina, kahi mamao loa mai kekahi i kekahi. Hoʻonohonoho nā kaiāulu ʻelua i ka ʻahaʻaina e like me kā lākou makemake. Ma Novosibirsk he hanana nui ʻekolu lā i hoʻopili ʻia me nā papa aʻoaʻo a me nā kūkākūkā panel e pili ana i kahi ākea o nā kumuhana (hoʻomohala kelepona, hoʻomohala pūnaewele, Data Science, DevOps, palekana). Ma Krasnodar, e maʻalahi nā mea a pau: hoʻokahi lā a ʻekolu mau kuhikuhi nui - hoʻomohala, hoʻolālā, kūʻai aku. Eia nō naʻe, lawa ka ʻokoʻa i nā hōʻike ma aneʻi - backend a me ka pūnaewele AR a me ka serverless, IT market a me ke kānāwai.
Āhea: Nowemapa 30 – Kekemapa 1
ʻAuhea: Innopolis, st. Universitetskaya, 1
Nā huaʻōlelo o ke komo ʻana: manuahi, pono ke kakau inoa
He hackathon no ka hoʻomaʻamaʻa ʻana i nā mea hoʻomohala mai ke kahua o ka robotics, a me ka poʻe e aʻo wale nei. Ua hoʻolaha ʻia ʻelua mau wahi kaʻawale o ka hana - anthropomorphic robotics (hopu a hoʻoneʻe i kahi mea e ka robot i loko o kahi simulator environment) a me ka halihali autonomous (hoʻoholo ʻana i ke ala kaʻaahi me nā ʻano aʻo hohonu). Hāʻawi ʻia nā makana kālā no nā prototypes maikaʻi loa ʻekolu (30 rubles, 000 rubles, 50 rubles no ke kolu, ka lua a me nā wahi mua, kēlā me kēia); e hāʻawi pū nā hoa hana i nā mea hoʻokūkū hoʻohiki i kā lākou ʻoihana IT.
Āhea: Nowemapa 30 – Kekemapa 1
ʻAuhea: Nizhny Novgorod, st. Pochainskaya, 17k1
Nā huaʻōlelo o ke komo ʻana: manuahi, pono ke kakau inoa
ʻO nā hackathon e pili ana i ka pilikanaka i nā manawa a pau - ma Kekemapa, ma o ka hoʻoikaika ʻana o ka lālā Intel kūloko, e hui pū ke kaiāulu Nizhny Novgorod i ka ʻano. Hoʻokumu ʻia nā hui i ka hoʻomohala ʻana i kahi hopena prototype e hoʻohana ana i hoʻokahi a ʻoi aʻe paha o ka neural network-based computer vision algorithms no ka pono o ke kaiāulu. Hiki i nā mea komo ke hoʻokō i kā lākou papahana a i ʻole koho i kekahi o nā hana i helu ʻia ma ka pūnaewele (ka nānā ʻana i ka palekana o ka ʻoihana, ka ʻike ʻana i nā ʻano like ʻole o ka poʻe ma nā wahi ākea, wānana i nā kūlana pilikia, a me nā mea ʻē aʻe). ʻO kahi koi koi ka hoʻohana ʻana i ka Intel Distribution of OpenVINO toolkit a me kahi loiloi o ka hoʻohana waiwai o ka papahana. ʻO ka makana mua - 100 rubles. me nā makana liʻiliʻi no nā mea mekala kala a me keleawe.
Āhea: ʻO 30 Nowemapa
ʻAuhea: Moscow, Paveletskaya embankment, 2, hale 18
Nā huaʻōlelo o ke komo ʻana: manuahi, ma muli o nā hopena koho
Ke hoʻonohonoho nei ʻo Yandex i kahi pāʻina no nā backenders ma kāna keʻena, kahi e loaʻa ai nā mea āpau: nā haʻiʻōlelo mai nā loea mai nā mea hoʻonohonoho, nā huakaʻi i nā wahi hoihoi kūloko, nā kūkākūkā wehe a me nā holomua ʻoihana. E māhele ʻia nā hōʻike i ʻelua ala: ʻo ka mea mua e kūkākūkā i nā pilikia e pili ana i ka ulu ʻana i ka ʻoihana a me ka mākeke hana (ʻoiai he nui ka aʻo ʻana i ka mīkini), ʻo ka lua ka mea maʻemaʻe a me ka hihia. ʻO ka poʻe e moeʻuhane e komo i ka hui Yandex hiki ke hoʻohana i ka manawa kūpono e hoʻopili i kahi resume i ka palapala hoʻopaʻa inoa a, i kēia manawa, e hele i nā pae āpau o ka nīnauele ma ka pūnaewele.
Āhea: ʻOkakopa 3
ʻAuhea: St. Petersburg, Sverdlovskaya embankment, 44D
Nā huaʻōlelo o ke komo ʻana: manuahi, pono ke kakau inoa
ʻO kahi ahiahi pōkole me nā kamaʻilio ʻelua e pili ana i nā mea hoʻomohala Java ʻike kokoke i ke kumuhana o ka huahana. E nānā kekahi o nā hōʻike i nā nuances o ka hana maikaʻi me nā faila (he aha, me ka hoʻouka ʻana, e pili ana i ka hana, pehea e loaʻa ai ka hapa nui o kahi disk, a me nā hewa e nānā ai). Ma kahi ʻē aʻe e kamaʻilio mākou e pili ana i nā loko JDBC - no ke aha lākou e pono ai, no ke aha i nui ai nā ʻano like ʻole, kahi āu e pono ai a pehea e hoʻonohonoho ai.
Āhea: Kekemapa 5-6
ʻAuhea: Moscow, Leningradsky Prospekt 31A hale 1
Nā huaʻōlelo o ke komo ʻana: mai 21 000 rub.
He ʻaha kūkā nui e pili ana i ka hoʻāʻo ʻana, kahi e hoihoi ai nā mea a pau - nā mea hoʻāʻo iā lākou iho, nā mea papahana a me nā luna hui. Hāʻawi ʻia ka mea nui i ka ʻaoʻao ʻenehana; ʻO nā kumuhana nui o ka hanana, ʻo ia ka automation, nā mea hana a me nā kaiapuni, ka hoʻāʻo ʻana i nā ʻōnaehana puʻupuʻu a me nā noi kelepona, nā ʻano hoʻokolohua like ʻole (UX, Security, A / B), ka nānā ʻana i nā code static, ka hoʻāʻo ʻana, ka benchmarking. E kaʻana like nā poʻe loea mai Amazon, Smashing Magazine, JFrog, Sberbank, Tinkoff a me nā hui IT kaulana ʻē aʻe i kā lākou ʻike. E like me ka manawa mau, e loaʻa i ka pūnaewele nā wahi i koho ʻia no nā ʻano kamaʻilio like ʻole - hoʻokahi a me ka hui, manuahi a hoʻonohonoho ʻia.
Āhea: ʻOkakopa 7
ʻAuhea: Moscow, Volgogradsky pr-t., 42, hale 5
Nā huaʻōlelo o ke komo ʻana: 7000 руб.
ʻO ka hālāwai kūkā, kahi e kamaʻilio ai lākou e pili ana i ka hoʻonohonoho ʻana i ka launa pū ʻana o nā hui IT i kāna mau hōʻike like ʻole, ua hoʻonohonoho ʻia e nā mea hoʻoikaika mai ke kaiāulu Moscow. ʻO ka lehulehu (e like me nā koho mua, 500 poʻe) aia nā mea hoʻomohala, nā ʻenekini hana, nā ʻenekini pūnaewele, nā mea hōʻike, nā alakaʻi hui, a me nā poʻo o nā keʻena ʻenehana. E hoʻokō ʻia nā ʻōlelo a nā poʻe loea DevOps nui loa ma ke kaiāulu Lūkini e nā papa hana, nā wahi ākea, nā nīnau a me nā kamaʻilio uila.
Āhea: ʻOkakopa 7
ʻAuhea: St. Petersburg (e hoʻopaʻa inoa ʻia)
Nā huaʻōlelo o ke komo ʻana: 5 000 rubles.
ʻO kahi hoʻomaʻamaʻa ikaika ʻehiku hola i ke kumuhana o ka ʻenehana 1C ma o ka prism o ka containerization a me ka virtualization. E hoʻomaka ka papa haku me ka ʻāpana theoretical (ka hopena i ka 1C circuit o nā ʻōnaehana hana, nā mea poloka, nā hoʻonohonoho pūnaewele). Ma hope o ka hoʻoikaika ʻana o ka mea e hana ʻia e like me kēia: ma lalo o ke alakaʻi ʻana a kahi kumu aʻoaʻo, e hoʻoponopono kēlā me kēia mea i kahi hoʻonohonoho o nā hana ma ka paepae Docker e nānā i nā hoʻonohonoho o ka ʻōnaehana hana, kaʻina hana a me ka RAM, nā hoʻonohonoho pūnaewele, ka ʻōnaehana subsystem disk, nā hoʻonohonoho o ka hui 1C a me kāna mau ʻōnaehana ʻike.
Āhea: ʻOkakopa 7
ʻAuhea: ʻO Voronezh, st. Ordzhonikidze, 36a
Nā huaʻōlelo o ke komo ʻana: manuahi, pono ke kakau inoa
ʻO ka ʻaha kūkā liʻiliʻi ʻo Voronezh no nā mea hoʻāʻo he wahi hoʻomaka maikaʻi loa ia no nā ʻōpio makemake e ʻike i ke kaiāulu a loaʻa ka ʻike hohonu o ka hana. Hoʻohiki ka papahana i kekahi mau kamaʻilio e pili ana i nā kumuhana ʻenehana a me ka ʻoihana, nā kiʻi kiʻi makana a me ke kamaʻilio maʻamau.
Āhea: Kekemapa 7-8
ʻAuhea: Moscow, Leningradsky Prospekt 31A, hale 1
Nā huaʻōlelo o ke komo ʻana: 21 000 rubles.
ʻO ka ʻaha kūkā ʻenehana no ka hoʻomohala kelepona no nā mea hoʻomohala ma ka pae waena a ma luna. Aia ka papahana ma mua o kanakolu mau hōʻike a uhi ʻia i ʻehā mau wahi nui: nā ʻenehana, nā mea hana, nā kiʻi a me ka hoʻolālā. No ka ʻoluʻolu o ka poʻe komo, hāʻawi ʻia kahi papa kuhikuhi me nā māka pae paʻakikī ma ka pūnaewele. Ma waho aʻe o nā hōʻike maʻamau a nā mea haʻiʻōlelo "mai ke kahua," e hauʻoli pū nā mea komo i nā ʻano ʻē aʻe - kamaʻilio uila me nā hōʻike blitz, bof sessions kahi e hiki ai i nā mea a pau ke kamaʻilio, a me ke kamaʻilio hoʻokahi me ka poʻe akamai ma nā wahi kūkākūkā.
Āhea: Kekemapa 7-8
ʻAuhea: Moscow, st. Ilimskaya, 5/2
Nā huaʻōlelo o ke komo ʻana: 36 000 rubles.
ʻO kahi manawa hikiʻole ke haku i ka hoʻokele data streaming me ka hoʻohana ʻana iā Apache AirFlow i hoʻokahi hopena pule. Hoʻolālā ʻia ka papa no nā luna hoʻoponopono, nā mea hoʻolālā ʻōnaehana a me nā mea hoʻomohala Hadoop i kamaʻāina me Unix a me ka hoʻoponopono kikokikona vi, a me ka ʻike hoʻolālā Python/bash. Loaʻa ka papahana i nā hola kula 16 a uhi ʻia i ʻehā mau modula (hoʻomaka i ka Data Flow, hoʻomohala ʻana i ka Data Flow me Apache AirFlow, hoʻonohonoho a hoʻonohonoho ʻana i ka Airflow, nā hiʻohiʻona a me nā pilikia i ka Airflow). Hoʻokahi kanahā pakeneka o ka manawa papa i hoʻolaʻa ʻia i ka hana hana. Aia ka papa inoa piha o nā kumuhana ma ka pūnaewele hanana.
Āhea: ʻOkakopa 11
ʻAuhea: St. Petersburg, St. Khersonskaya 12-14
Nā huaʻōlelo o ke komo ʻana: manuahi, pono ke kakau inoa
He hanana keʻena no nā hōʻike ʻekolu, i hui pū ʻia e ke kumuhana maʻamau o ka hōʻoia ʻana i ka maikaʻi o ka hoʻomohala ʻana. ʻO nā mea haʻiʻōlelo he mau ʻelele o nā hui OK, Mail.ru a me Qameta Software e pili ana i nā kaʻina hoʻāʻo. ʻO nā kumuhana o nā hōʻikeʻike ʻo ia nā ana hana ma Android (no ke aha a me nā mea hana i hana ʻia ai), kahi mea ʻē aʻe i ke ʻano PageObject no ke kākau ʻana i nā hoʻokolohua, a me kahi loiloi o nā hopena no ka loiloi ʻana i ka uhi hōʻike. ʻO ka manawa no ka kofe a me ka pūnaewele aia pū ma ka papahana.
Āhea: ʻOkakopa 12
ʻAuhea: Sergiev Posad, st. Karl Marx 7
Nā huaʻōlelo o ke komo ʻana: manuahi, pono ke kakau inoa
E mālama ʻia ka hālāwai o ke kaiāulu Javascript kūloko ma kahi kumu 50/50 - ʻo ka hapa mua o ka hanana e hoʻolaʻa ʻia i ke kūkākūkā ʻana i nā ʻano hoʻokele papahana (Agile, BDD), ka lua - nā hōʻike loea. Mai ka hope, hiki i nā malihini ke aʻo i ke ʻano o ke ʻano o ka WASM e kōkua i ka hoʻomaikaʻi ʻana i ka wikiwiki o ka hoʻokō code ma ka polokalamu kele pūnaewele ma nā kahua like ʻole a me ke kumu e make ai ka hoʻolilo ʻaoʻao Server.
Āhea: ʻOkakopa 14
ʻAuhea: ʻO Vladivostok, st. Tigrovaya, 30
Nā huaʻōlelo o ke komo ʻana: manuahi, pono ke kakau inoa
ʻO kahi hanana ʻē aʻe i hoʻolaʻa ʻia i DevOps a manaʻo e hoʻohui i ke kaiāulu Far East o nā ʻenekini hoihoi i ke kumuhana. Ma hope o nā hōʻike ʻehā (hewa i ka hoʻokō ʻana i nā mea hana DevOps, hoʻonohonoho i kahi ʻohi Snowplow, graphQL no microservices, Rancher capabilities), e hele ka microphone i loko o ke keʻena - hiki i kekahi o ka poʻe i hele mai ke noi i kahi hihia a i ʻole kumuhana no ke kūkākūkā nui.
Āhea: ʻOkakopa 14
ʻAuhea: Kazan, st. Petersburgskaya, 52
Nā huaʻōlelo o ke komo ʻana: manuahi, pono ke kakau inoa
ʻO ka hui Kazan o nā mea hoʻomohala PHP ʻo ia paha ka hui kaiaulu nui loa i kēia mahina. He nui nā hōʻike e pili ana i nā kumuhana e pili ana i ka hoʻomohala ʻana (ka ʻimi ʻana a me ka hoʻopaʻa ʻana i nā microservices, parsing ma lalo o ka puʻupuʻu, nā hoʻoweliweli maʻamau ma ka pūnaewele a me ka pale ʻana iā lākou, ka neʻe ʻana mai PHP a Golang me ka multithreading, kūkulu i kahi API me ka hoʻohana ʻana i ka API-platform. framework), no ka mea e ukali ʻia e kahi nīnau a me kahi ʻāpana ʻike ʻole.
Source: www.habr.com