{"id":4301,"date":"2023-07-12T03:55:48","date_gmt":"2023-07-12T03:55:48","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d0%ba%d1%96%d0%bb%d1%8c%d0%ba%d1%96%d1%81%d1%82%d1%8c-%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d1%8c-numpy-%d0%bf%d0%b5%d1%80%d0%b5%d0%b2%d0%b8%d1%89%d1%83%d1%94\/"},"modified":"2023-07-12T03:55:48","modified_gmt":"2023-07-12T03:55:48","slug":"%d0%ba%d1%96%d0%bb%d1%8c%d0%ba%d1%96%d1%81%d1%82%d1%8c-%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d1%8c-numpy-%d0%bf%d0%b5%d1%80%d0%b5%d0%b2%d0%b8%d1%89%d1%83%d1%94","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d0%ba%d1%96%d0%bb%d1%8c%d0%ba%d1%96%d1%81%d1%82%d1%8c-%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d1%8c-numpy-%d0%bf%d0%b5%d1%80%d0%b5%d0%b2%d0%b8%d1%89%d1%83%d1%94\/","title":{"rendered":"Numpy: \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432, \u0449\u043e \u043f\u0435\u0440\u0435\u0432\u0438\u0449\u0443\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f"},"content":{"rendered":"

<\/p>\n

\n

\u0429\u043e\u0431 \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432, \u0449\u043e \u043f\u0435\u0440\u0435\u0432\u0438\u0449\u0443\u0454 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432 \u043c\u0430\u0441\u0438\u0432\u0456 NumPy, \u043c\u043e\u0436\u043d\u0430 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441:<\/span><\/p>\n

 import<\/span> numpy as<\/span> np\n\nvals_greater_10 = (data ><\/span> 10<\/span> ). sum<\/span> ()\n<\/strong><\/pre>\n
 \u0426\u0435\u0439 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u0438\u0439 \u043f\u0440\u0438\u043a\u043b\u0430\u0434 \u043f\u043e\u0432\u0435\u0440\u043d\u0435 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432, \u0431\u0456\u043b\u044c\u0448\u0443 \u0437\u0430 10, \u0443 \u043c\u0430\u0441\u0438\u0432\u0456 NumPy \u043f\u0456\u0434 \u043d\u0430\u0437\u0432\u043e\u044e data<\/strong> .<\/span><\/p>\n
 \u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0446\u0435\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456.<\/span><\/p>\n
 \u041f\u0440\u0438\u043a\u043b\u0430\u0434: \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432, \u0449\u043e \u043f\u0435\u0440\u0435\u0432\u0438\u0449\u0443\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432 \u043c\u0430\u0441\u0438\u0432\u0456 NumPy<\/strong><\/span><\/h2>\n
 \u041f\u0440\u0438\u043f\u0443\u0441\u0442\u0456\u043c\u043e, \u0449\u043e \u043c\u0438 \u043c\u0430\u0454\u043c\u043e \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u0434\u0432\u043e\u0432\u0438\u043c\u0456\u0440\u043d\u0438\u0439 \u043c\u0430\u0441\u0438\u0432 NumPy \u0456\u0437 15 \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0430\u043c\u0438:<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#create 2D NumPy array with 3 columns and 5 rows\n<\/span>data = np. matrix<\/span> (np. arange<\/span> (15). reshape<\/span> ((5, 3)))\n\n#view NumPy array\n<\/span>print<\/span> (data)\n\n[[ 0 1 2]\n [3 4 5]\n [6 7 8]\n [9 10 11]\n [12 13 14]]\n<\/span><\/span><\/strong><\/pre>\n
 \u041c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0442\u0430\u043a\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0449\u043e\u0431 \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u0437\u0430\u0433\u0430\u043b\u044c\u043d\u0443 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432 \u0443 \u043c\u0430\u0441\u0438\u0432\u0456 \u0437\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f\u043c \u0431\u0456\u043b\u044c\u0448\u0435 10:<\/span><\/p>\n
 #count number of values greater than 10 in NumPy matrix\n<\/span>vals_greater_10 = (data ><\/span> 10<\/span> ). sum<\/span> ()\n\n#view results\n<\/span>print<\/span> (vals_greater_10)\n\n4<\/span><\/span><\/strong><\/pre>\n
 \u0417 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0443 \u043c\u0438 \u0431\u0430\u0447\u0438\u043c\u043e, \u0449\u043e 4<\/strong> \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432 \u043c\u0430\u0441\u0438\u0432\u0456 NumPy \u0431\u0456\u043b\u044c\u0448\u0435 10.<\/span><\/p>\n
 \u042f\u043a\u0449\u043e \u043c\u0438 \u0432\u0440\u0443\u0447\u043d\u0443 \u043f\u0435\u0440\u0435\u0432\u0456\u0440\u0438\u043c\u043e \u043c\u0430\u0441\u0438\u0432 NumPy, \u043c\u0438 \u0437\u043c\u043e\u0436\u0435\u043c\u043e \u043f\u0456\u0434\u0442\u0432\u0435\u0440\u0434\u0438\u0442\u0438, \u0449\u043e \u0447\u043e\u0442\u0438\u0440\u0438 \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0438 \u2013 11, 12, 13, 14 \u2013 \u0434\u0456\u0439\u0441\u043d\u043e \u0431\u0456\u043b\u044c\u0448\u0456 \u0437\u0430 10.<\/span><\/p>\n
 \u0429\u043e\u0431 \u0437\u043d\u0430\u0439\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432, \u043c\u0435\u043d\u0448\u0443 \u0437\u0430 10, \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u043e\u043f\u0435\u0440\u0430\u0442\u043e\u0440 \u043c\u0435\u043d\u0448\u0435 \u043d\u0456\u0436 ( <<\/strong> ):<\/span><\/p>\n
 #count number of values less than 10 in NumPy matrix\n<\/span>vals_less_10 = (data <<\/span> 10<\/span> ). sum<\/span> ()\n\n#view results\n<\/span>print<\/span> (vals_less_10)\n\n10<\/span><\/span><\/strong><\/pre>\n
 \u0417 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0443 \u043c\u0438 \u0431\u0430\u0447\u0438\u043c\u043e, \u0449\u043e 10<\/b> \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u0443 \u043c\u0430\u0441\u0438\u0432\u0456 NumPy \u043c\u0435\u043d\u0448\u0435 10.<\/span><\/p>\n
 \u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/strong><\/span><\/h2>\n
 \u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0445 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a\u0430\u0445 \u043f\u043e\u044f\u0441\u043d\u044e\u0454\u0442\u044c\u0441\u044f, \u044f\u043a \u0432\u0438\u043a\u043e\u043d\u0443\u0432\u0430\u0442\u0438 \u0456\u043d\u0448\u0456 \u0442\u0438\u043f\u043e\u0432\u0456 \u043e\u043f\u0435\u0440\u0430\u0446\u0456\u0457 \u0432 Python:<\/span><\/p>\n
 \u042f\u043a \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432, \u0449\u043e \u0434\u043e\u0440\u0456\u0432\u043d\u044e\u0454 NaN \u0443 NumPy<\/a>
 \u042f\u043a \u043f\u043e\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432, \u0449\u043e \u0434\u043e\u0440\u0456\u0432\u043d\u044e\u0454 \u043d\u0443\u043b\u044e \u0432 NumPy<\/a>
 \u042f\u043a \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432, \u0449\u043e \u0434\u043e\u0440\u0456\u0432\u043d\u044e\u0454 True \u0443 NumPy<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0429\u043e\u0431 \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432, \u0449\u043e \u043f\u0435\u0440\u0435\u0432\u0438\u0449\u0443\u0454 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432 \u043c\u0430\u0441\u0438\u0432\u0456 NumPy, \u043c\u043e\u0436\u043d\u0430 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441: import numpy as np vals_greater_10 = (data > 10 ). sum () \u0426\u0435\u0439 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u0438\u0439 \u043f\u0440\u0438\u043a\u043b\u0430\u0434 \u043f\u043e\u0432\u0435\u0440\u043d\u0435 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432, \u0431\u0456\u043b\u044c\u0448\u0443 \u0437\u0430 10, \u0443 \u043c\u0430\u0441\u0438\u0432\u0456 NumPy \u043f\u0456\u0434 \u043d\u0430\u0437\u0432\u043e\u044e data . \u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0446\u0435\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456. \u041f\u0440\u0438\u043a\u043b\u0430\u0434: […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"\nNumPy: \u043f\u0456\u0434\u0440\u0430\u0445\u043e\u0432\u0443\u0454 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432, \u0449\u043e \u043f\u0435\u0440\u0435\u0432\u0438\u0449\u0443\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f - Statorials<\/title>\n<meta name=\"description\" content=\"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432 \u0443 \u043c\u0430\u0441\u0438\u0432\u0456 NumPy, \u0449\u043e \u043f\u0435\u0440\u0435\u0432\u0438\u0449\u0443\u0454 \u043f\u0435\u0432\u043d\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f, \u0456\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/uk\/\u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c-\u0437\u043d\u0430\u0447\u0435\u043d\u044c-numpy-\u043f\u0435\u0440\u0435\u0432\u0438\u0449\u0443\u0454\/\" \/>\n<meta property=\"og:locale\" content=\"uk_UA\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NumPy: \u043f\u0456\u0434\u0440\u0430\u0445\u043e\u0432\u0443\u0454 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432, \u0449\u043e \u043f\u0435\u0440\u0435\u0432\u0438\u0449\u0443\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f - Statorials\" \/>\n<meta property=\"og:description\" content=\"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432 \u0443 \u043c\u0430\u0441\u0438\u0432\u0456 NumPy, \u0449\u043e \u043f\u0435\u0440\u0435\u0432\u0438\u0449\u0443\u0454 \u043f\u0435\u0432\u043d\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f, \u0456\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/uk\/\u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c-\u0437\u043d\u0430\u0447\u0435\u043d\u044c-numpy-\u043f\u0435\u0440\u0435\u0432\u0438\u0449\u0443\u0454\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-12T03:55:48+00:00\" \/>\n<meta name=\"author\" content=\"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/uk\/%d0%ba%d1%96%d0%bb%d1%8c%d0%ba%d1%96%d1%81%d1%82%d1%8c-%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d1%8c-numpy-%d0%bf%d0%b5%d1%80%d0%b5%d0%b2%d0%b8%d1%89%d1%83%d1%94\/\",\"url\":\"https:\/\/statorials.org\/uk\/%d0%ba%d1%96%d0%bb%d1%8c%d0%ba%d1%96%d1%81%d1%82%d1%8c-%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d1%8c-numpy-%d0%bf%d0%b5%d1%80%d0%b5%d0%b2%d0%b8%d1%89%d1%83%d1%94\/\",\"name\":\"NumPy: \u043f\u0456\u0434\u0440\u0430\u0445\u043e\u0432\u0443\u0454 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432, \u0449\u043e \u043f\u0435\u0440\u0435\u0432\u0438\u0449\u0443\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/uk\/#website\"},\"datePublished\":\"2023-07-12T03:55:48+00:00\",\"dateModified\":\"2023-07-12T03:55:48+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/uk\/#\/schema\/person\/2affa1a5da08a4b61ab4becd078c191a\"},\"description\":\"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432 \u0443 \u043c\u0430\u0441\u0438\u0432\u0456 NumPy, \u0449\u043e \u043f\u0435\u0440\u0435\u0432\u0438\u0449\u0443\u0454 \u043f\u0435\u0432\u043d\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f, \u0456\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/uk\/%d0%ba%d1%96%d0%bb%d1%8c%d0%ba%d1%96%d1%81%d1%82%d1%8c-%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d1%8c-numpy-%d0%bf%d0%b5%d1%80%d0%b5%d0%b2%d0%b8%d1%89%d1%83%d1%94\/#breadcrumb\"},\"inLanguage\":\"uk\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/uk\/%d0%ba%d1%96%d0%bb%d1%8c%d0%ba%d1%96%d1%81%d1%82%d1%8c-%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d1%8c-numpy-%d0%bf%d0%b5%d1%80%d0%b5%d0%b2%d0%b8%d1%89%d1%83%d1%94\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/uk\/%d0%ba%d1%96%d0%bb%d1%8c%d0%ba%d1%96%d1%81%d1%82%d1%8c-%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d1%8c-numpy-%d0%bf%d0%b5%d1%80%d0%b5%d0%b2%d0%b8%d1%89%d1%83%d1%94\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u0434\u043e\u0434\u043e\u043c\u0443\",\"item\":\"https:\/\/statorials.org\/uk\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Numpy: 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\u0432\u0438\u043a\u043b\u0430\u0434\u0430\u0447\u0435\u043c \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438. \u041c\u0430\u044e\u0447\u0438 \u0432\u0435\u043b\u0438\u043a\u0438\u0439 \u0434\u043e\u0441\u0432\u0456\u0434 \u0456 \u0437\u043d\u0430\u043d\u043d\u044f \u0432 \u0433\u0430\u043b\u0443\u0437\u0456 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438, \u044f \u0433\u043e\u0442\u043e\u0432\u0438\u0439 \u043f\u043e\u0434\u0456\u043b\u0438\u0442\u0438\u0441\u044f \u0441\u0432\u043e\u0457\u043c\u0438 \u0437\u043d\u0430\u043d\u043d\u044f\u043c\u0438, \u0449\u043e\u0431 \u0440\u043e\u0437\u0448\u0438\u0440\u0438\u0442\u0438 \u043c\u043e\u0436\u043b\u0438\u0432\u043e\u0441\u0442\u0456 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u0456\u0432 \u0447\u0435\u0440\u0435\u0437 Statorials. \u0414\u0456\u0437\u043d\u0430\u0439\u0442\u0435\u0441\u044f \u0431\u0456\u043b\u044c\u0448\u0435\",\"sameAs\":[\"http:\/\/statorials.org\/uk\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. 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\u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/uk\/\u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c-\u0437\u043d\u0430\u0447\u0435\u043d\u044c-numpy-\u043f\u0435\u0440\u0435\u0432\u0438\u0449\u0443\u0454\/","og_locale":"uk_UA","og_type":"article","og_title":"NumPy: \u043f\u0456\u0434\u0440\u0430\u0445\u043e\u0432\u0443\u0454 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432, \u0449\u043e \u043f\u0435\u0440\u0435\u0432\u0438\u0449\u0443\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f - Statorials","og_description":"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a 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\u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438.","og_url":"https:\/\/statorials.org\/uk\/\u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c-\u0437\u043d\u0430\u0447\u0435\u043d\u044c-numpy-\u043f\u0435\u0440\u0435\u0432\u0438\u0449\u0443\u0454\/","og_site_name":"Statorials","article_published_time":"2023-07-12T03:55:48+00:00","author":"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f","twitter_card":"summary_large_image","twitter_misc":{"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e":"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/uk\/%d0%ba%d1%96%d0%bb%d1%8c%d0%ba%d1%96%d1%81%d1%82%d1%8c-%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d1%8c-numpy-%d0%bf%d0%b5%d1%80%d0%b5%d0%b2%d0%b8%d1%89%d1%83%d1%94\/","url":"https:\/\/statorials.org\/uk\/%d0%ba%d1%96%d0%bb%d1%8c%d0%ba%d1%96%d1%81%d1%82%d1%8c-%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d1%8c-numpy-%d0%bf%d0%b5%d1%80%d0%b5%d0%b2%d0%b8%d1%89%d1%83%d1%94\/","name":"NumPy: \u043f\u0456\u0434\u0440\u0430\u0445\u043e\u0432\u0443\u0454 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432, \u0449\u043e \u043f\u0435\u0440\u0435\u0432\u0438\u0449\u0443\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f - Statorials","isPartOf":{"@id":"https:\/\/statorials.org\/uk\/#website"},"datePublished":"2023-07-12T03:55:48+00:00","dateModified":"2023-07-12T03:55:48+00:00","author":{"@id":"https:\/\/statorials.org\/uk\/#\/schema\/person\/2affa1a5da08a4b61ab4becd078c191a"},"description":"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432 \u0443 \u043c\u0430\u0441\u0438\u0432\u0456 NumPy, \u0449\u043e \u043f\u0435\u0440\u0435\u0432\u0438\u0449\u0443\u0454 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