{"id":2191,"date":"2023-07-23T07:39:09","date_gmt":"2023-07-23T07:39:09","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d0%bc%d0%b0%d1%81%d0%b8%d0%b2-%d0%bc%d0%b0%d1%81%d0%b8%d0%b2%d1%96%d0%b2-python\/"},"modified":"2023-07-23T07:39:09","modified_gmt":"2023-07-23T07:39:09","slug":"%d0%bc%d0%b0%d1%81%d0%b8%d0%b2-%d0%bc%d0%b0%d1%81%d0%b8%d0%b2%d1%96%d0%b2-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d0%bc%d0%b0%d1%81%d0%b8%d0%b2-%d0%bc%d0%b0%d1%81%d0%b8%d0%b2%d1%96%d0%b2-python\/","title":{"rendered":"\u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u043c\u0430\u0441\u0438\u0432\u0456\u0432 \u0443 python (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438)"},"content":{"rendered":"

<\/p>\n

\n

\u0429\u043e\u0431 \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u043c\u0430\u0441\u0438\u0432\u0456\u0432 \u0443 Python \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u043f\u0430\u043a\u0435\u0442\u0430 NumPy, \u043c\u043e\u0436\u043d\u0430 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0431\u0443\u0434\u044c-\u044f\u043a\u0438\u0439 \u0456\u0437 \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u0438\u0445 \u043d\u0438\u0436\u0447\u0435 \u0434\u0432\u043e\u0445 \u043c\u0435\u0442\u043e\u0434\u0456\u0432:<\/span><\/p>\n

\u0421\u043f\u043e\u0441\u0456\u0431 1: \u041e\u0431\u2019\u0454\u0434\u043d\u0430\u0439\u0442\u0435 \u043e\u043a\u0440\u0435\u043c\u0456 \u0442\u0430\u0431\u043b\u0438\u0446\u0456<\/strong><\/span><\/p>\n

 import<\/span> numpy as<\/span> np<\/span>\n\narray1 = np. array<\/span> ([1, 2, 3])\narray2 = np. array<\/span> ([4, 5, 6])\narray3 = np. array<\/span> ([7, 8, 9])\n\nall_arrays = np. array<\/span> ([array1, array2, array3])\n<\/span><\/span><\/strong><\/pre>\n
 \u0421\u043f\u043e\u0441\u0456\u0431 2: \u0431\u0435\u0437\u043f\u043e\u0441\u0435\u0440\u0435\u0434\u043d\u044c\u043e \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u0442\u0430\u0431\u043b\u0438\u0446\u044c<\/strong><\/span><\/p>\n
 import<\/span> numpy as<\/span> np<\/span>\n\nall_arrays = np. array<\/span> ([[1, 2, 3],\n                       [4, 5, 6],\n                       [7, 8, 9]])\n<\/span><\/span><\/strong><\/pre>\n
 \u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0456 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0438 \u043f\u043e\u043a\u0430\u0437\u0443\u044e\u0442\u044c, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043a\u043e\u0436\u0435\u043d \u043c\u0435\u0442\u043e\u0434 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456.<\/span><\/p>\n
 \u0421\u043f\u043e\u0441\u0456\u0431 1: \u041e\u0431\u2019\u0454\u0434\u043d\u0430\u0439\u0442\u0435 \u043e\u043a\u0440\u0435\u043c\u0456 \u0442\u0430\u0431\u043b\u0438\u0446\u0456<\/strong><\/span><\/h3>\n
 \u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u043c\u0430\u0441\u0438\u0432\u0456\u0432, \u043f\u0440\u043e\u0441\u0442\u043e \u043e\u0431\u2019\u0454\u0434\u043d\u0430\u0432\u0448\u0438 \u043e\u043a\u0440\u0435\u043c\u0456 \u043c\u0430\u0441\u0438\u0432\u0438:<\/span><\/p>\n
 import<\/span> numpy as<\/span> np<\/span>\n\n#define individual arrays\n<\/span>array1 = np. array<\/span> ([10, 20, 30, 40, 50])\narray2 = np. array<\/span> ([60, 70, 80, 90, 100])\narray3 = np. array<\/span> ([110, 120, 130, 140, 150])\n\n#combine individual arrays into one array of arrays<\/span>\nall_arrays = np. array<\/span> ([array1, array2, array3])\n\n#view array of arrays<\/span>\nprint<\/span> (all_arrays)\n\n[[ 10 20 30 40 50]\n [60 70 80 90 100]\n [110 120 130 140 150]]\n<\/span><\/span><\/strong><\/pre>\n
 \u0421\u043f\u043e\u0441\u0456\u0431 2: \u0431\u0435\u0437\u043f\u043e\u0441\u0435\u0440\u0435\u0434\u043d\u044c\u043e \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u0442\u0430\u0431\u043b\u0438\u0446\u044c<\/strong><\/span><\/h3>\n
 \u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0431\u0435\u0437\u043f\u043e\u0441\u0435\u0440\u0435\u0434\u043d\u044c\u043e \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u043c\u0430\u0441\u0438\u0432\u0456\u0432:<\/span><\/p>\n
 import<\/span> numpy as<\/span> np<\/span>\n\n#create array of arrays\n<\/span>all_arrays = np. array<\/span> ([[10, 20, 30, 40, 50],\n                       [60, 70, 80, 90, 100],\n                       [110, 120, 130, 140, 150]])\n\n#view array of arrays<\/span>\nprint<\/span> (all_arrays)\n\n[[ 10 20 30 40 50]\n [60 70 80 90 100]\n [110 120 130 140 150]]\n<\/span><\/span><\/strong><\/pre>\n
 \u0417\u0432\u0435\u0440\u043d\u0456\u0442\u044c \u0443\u0432\u0430\u0433\u0443, \u0449\u043e \u0446\u0435\u0439 \u043c\u0430\u0441\u0438\u0432 \u043c\u0430\u0441\u0438\u0432\u0456\u0432 \u0437\u0431\u0456\u0433\u0430\u0454\u0442\u044c\u0441\u044f \u0437 \u043c\u0430\u0441\u0438\u0432\u043e\u043c, \u0441\u0442\u0432\u043e\u0440\u0435\u043d\u0438\u043c \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u043f\u043e\u043f\u0435\u0440\u0435\u0434\u043d\u044c\u043e\u0433\u043e \u043c\u0435\u0442\u043e\u0434\u0443.<\/span><\/p>\n
 \u042f\u043a \u043e\u0442\u0440\u0438\u043c\u0430\u0442\u0438 \u0434\u043e\u0441\u0442\u0443\u043f \u0434\u043e \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432 \u043c\u0430\u0441\u0438\u0432\u0443 \u043c\u0430\u0441\u0438\u0432\u0456\u0432<\/strong><\/span><\/h3>\n
 \u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e shape<\/strong> , \u0449\u043e\u0431 \u043e\u0442\u0440\u0438\u043c\u0430\u0442\u0438 \u0440\u043e\u0437\u043c\u0456\u0440\u0438 \u043c\u0430\u0441\u0438\u0432\u0443 \u043c\u0430\u0441\u0438\u0432\u0456\u0432:<\/span><\/p>\n
 print<\/span> ( all_arrays.shape<\/span> )<\/span>\n\n(3, 5)\n<\/span><\/span><\/strong><\/pre>\n
 \u0426\u0435 \u0433\u043e\u0432\u043e\u0440\u0438\u0442\u044c \u043d\u0430\u043c \u043f\u0440\u043e \u0442\u0435, \u0449\u043e \u0432 \u0442\u0430\u0431\u043b\u0438\u0446\u0456 \u0442\u0430\u0431\u043b\u0438\u0446\u044c \u0454 \u0442\u0440\u0438 \u0440\u044f\u0434\u043a\u0438 \u0456 \u043f’\u044f\u0442\u044c \u0441\u0442\u043e\u0432\u043f\u0446\u0456\u0432.<\/span><\/p>\n
 \u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e size<\/strong> , \u0449\u043e\u0431 \u043f\u043e\u0431\u0430\u0447\u0438\u0442\u0438, \u0441\u043a\u0456\u043b\u044c\u043a\u0438 \u0437\u0430\u0433\u0430\u043b\u044c\u043d\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u043c\u0456\u0441\u0442\u0438\u0442\u044c\u0441\u044f \u0432 \u043c\u0430\u0441\u0438\u0432\u0456 \u043c\u0430\u0441\u0438\u0432\u0456\u0432:<\/span><\/p>\n
 print<\/span> ( all_arrays.size<\/span> )<\/span>\n\n15<\/span><\/span><\/strong><\/pre>\n
 \u0426\u0435 \u0433\u043e\u0432\u043e\u0440\u0438\u0442\u044c \u043d\u0430\u043c \u043f\u0440\u043e \u0442\u0435, \u0449\u043e \u0432\u0441\u044c\u043e\u0433\u043e \u0432 \u043c\u0430\u0441\u0438\u0432\u0456 15 \u0437\u043d\u0430\u0447\u0435\u043d\u044c.<\/span><\/p>\n
 \u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0434\u0443\u0436\u043a\u0438<\/strong> \u0434\u043b\u044f \u0434\u043e\u0441\u0442\u0443\u043f\u0443 \u0434\u043e \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0456\u0432, \u0440\u043e\u0437\u0442\u0430\u0448\u043e\u0432\u0430\u043d\u0438\u0445 \u0443 \u043f\u0435\u0432\u043d\u0438\u0445 \u043f\u043e\u0437\u0438\u0446\u0456\u044f\u0445 \u0443 \u043c\u0430\u0441\u0438\u0432\u0456 \u0442\u0430\u0431\u043b\u0438\u0446\u044c.<\/span><\/p>\n
 \u041d\u0430\u043f\u0440\u0438\u043a\u043b\u0430\u0434, \u0432\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \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 \u043e\u0442\u0440\u0438\u043c\u0430\u0442\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u043f\u0435\u0440\u0448\u043e\u0433\u043e \u043c\u0430\u0441\u0438\u0432\u0443, \u0440\u043e\u0437\u0442\u0430\u0448\u043e\u0432\u0430\u043d\u043e\u0433\u043e \u0432 \u043f\u043e\u0437\u0438\u0446\u0456\u0457 \u0456\u043d\u0434\u0435\u043a\u0441\u0443 3:<\/span><\/p>\n
 print<\/span> (all_arrays[0, 3])<\/span>\n\n40<\/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 \u0446\u0435\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0434\u043b\u044f \u0434\u043e\u0441\u0442\u0443\u043f\u0443 \u0434\u043e \u0431\u0443\u0434\u044c-\u044f\u043a\u043e\u0433\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432 \u043c\u0430\u0441\u0438\u0432\u0456 \u043c\u0430\u0441\u0438\u0432\u0456\u0432.<\/span><\/p>\n
 \u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/strong><\/span><\/h3>\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 \u0437 \u043c\u0430\u0441\u0438\u0432\u0430\u043c\u0438 \u0432 Python:<\/span><\/p>\n
 \u042f\u043a \u043e\u0431\u2019\u0454\u0434\u043d\u0430\u0442\u0438 \u043c\u0430\u0441\u0438\u0432\u0438 \u0432 Python<\/a>
 \u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 Pandas DataFrame \u0437 \u043c\u0430\u0441\u0438\u0432\u0443 NumPy<\/a>
 \u042f\u043a \u043a\u043e\u043d\u0432\u0435\u0440\u0442\u0443\u0432\u0430\u0442\u0438 Pandas DataFrame \u0432 \u043c\u0430\u0441\u0438\u0432 NumPy<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0429\u043e\u0431 \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u043c\u0430\u0441\u0438\u0432\u0456\u0432 \u0443 Python \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u043f\u0430\u043a\u0435\u0442\u0430 NumPy, \u043c\u043e\u0436\u043d\u0430 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0431\u0443\u0434\u044c-\u044f\u043a\u0438\u0439 \u0456\u0437 \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u0438\u0445 \u043d\u0438\u0436\u0447\u0435 \u0434\u0432\u043e\u0445 \u043c\u0435\u0442\u043e\u0434\u0456\u0432: \u0421\u043f\u043e\u0441\u0456\u0431 1: \u041e\u0431\u2019\u0454\u0434\u043d\u0430\u0439\u0442\u0435 \u043e\u043a\u0440\u0435\u043c\u0456 \u0442\u0430\u0431\u043b\u0438\u0446\u0456 import numpy as np array1 = np. array ([1, 2, 3]) array2 = np. array ([4, 5, 6]) array3 = np. array ([7, 8, 9]) all_arrays = np. array ([array1, array2, array3]) […]<\/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":"\n\u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u043c\u0430\u0441\u0438\u0432\u0456\u0432 \u0443 Python (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438) - \u0421\u0442\u0430\u0442\u043e\u043b\u043e\u0433\u0456\u044f<\/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 \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u043c\u0430\u0441\u0438\u0432\u0456\u0432 \u0443 Python, \u0456\u0437 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \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\/\u043c\u0430\u0441\u0438\u0432-\u043c\u0430\u0441\u0438\u0432\u0456\u0432-python\/\" \/>\n<meta property=\"og:locale\" content=\"uk_UA\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u043c\u0430\u0441\u0438\u0432\u0456\u0432 \u0443 Python (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438) - \u0421\u0442\u0430\u0442\u043e\u043b\u043e\u0433\u0456\u044f\" \/>\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 \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u043c\u0430\u0441\u0438\u0432\u0456\u0432 \u0443 Python, \u0456\u0437 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/uk\/\u043c\u0430\u0441\u0438\u0432-\u043c\u0430\u0441\u0438\u0432\u0456\u0432-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-23T07:39:09+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\t<meta name=\"twitter:label2\" content=\"\u041f\u0440\u0438\u0431\u043b. \u0447\u0430\u0441 \u0447\u0438\u0442\u0430\u043d\u043d\u044f\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u0445\u0432\u0438\u043b\u0438\u043d\u0430\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/uk\/%d0%bc%d0%b0%d1%81%d0%b8%d0%b2-%d0%bc%d0%b0%d1%81%d0%b8%d0%b2%d1%96%d0%b2-python\/\",\"url\":\"https:\/\/statorials.org\/uk\/%d0%bc%d0%b0%d1%81%d0%b8%d0%b2-%d0%bc%d0%b0%d1%81%d0%b8%d0%b2%d1%96%d0%b2-python\/\",\"name\":\"\u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u043c\u0430\u0441\u0438\u0432\u0456\u0432 \u0443 Python (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438) - \u0421\u0442\u0430\u0442\u043e\u043b\u043e\u0433\u0456\u044f\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/uk\/#website\"},\"datePublished\":\"2023-07-23T07:39:09+00:00\",\"dateModified\":\"2023-07-23T07:39:09+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 \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u043c\u0430\u0441\u0438\u0432\u0456\u0432 \u0443 Python, \u0456\u0437 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/uk\/%d0%bc%d0%b0%d1%81%d0%b8%d0%b2-%d0%bc%d0%b0%d1%81%d0%b8%d0%b2%d1%96%d0%b2-python\/#breadcrumb\"},\"inLanguage\":\"uk\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/uk\/%d0%bc%d0%b0%d1%81%d0%b8%d0%b2-%d0%bc%d0%b0%d1%81%d0%b8%d0%b2%d1%96%d0%b2-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/uk\/%d0%bc%d0%b0%d1%81%d0%b8%d0%b2-%d0%bc%d0%b0%d1%81%d0%b8%d0%b2%d1%96%d0%b2-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u0434\u043e\u0434\u043e\u043c\u0443\",\"item\":\"https:\/\/statorials.org\/uk\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u043c\u0430\u0441\u0438\u0432\u0456\u0432 \u0443 python (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438)\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/uk\/#website\",\"url\":\"https:\/\/statorials.org\/uk\/\",\"name\":\"Statorials\",\"description\":\"\u0412\u0430\u0448 \u043f\u0443\u0442\u0456\u0432\u043d\u0438\u043a \u0434\u043e \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u043d\u043e\u0457 \u043a\u043e\u043c\u043f\u0435\u0442\u0435\u043d\u0442\u043d\u043e\u0441\u0442\u0456!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/uk\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"uk\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/uk\/#\/schema\/person\/2affa1a5da08a4b61ab4becd078c191a\",\"name\":\"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"uk\",\"@id\":\"https:\/\/statorials.org\/uk\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/uk\/wp-content\/uploads\/2023\/11\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/uk\/wp-content\/uploads\/2023\/11\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f\"},\"description\":\"\u041f\u0440\u0438\u0432\u0456\u0442, \u044f \u0411\u0435\u043d\u0434\u0436\u0430\u043c\u0456\u043d, \u043f\u0440\u043e\u0444\u0435\u0441\u043e\u0440 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438 \u043d\u0430 \u043f\u0435\u043d\u0441\u0456\u0457, \u044f\u043a\u0438\u0439 \u0441\u0442\u0430\u0432 \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. -->","yoast_head_json":{"title":"\u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u043c\u0430\u0441\u0438\u0432\u0456\u0432 \u0443 Python (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438) - \u0421\u0442\u0430\u0442\u043e\u043b\u043e\u0433\u0456\u044f","description":"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u043c\u0430\u0441\u0438\u0432\u0456\u0432 \u0443 Python, \u0456\u0437 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \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\/\u043c\u0430\u0441\u0438\u0432-\u043c\u0430\u0441\u0438\u0432\u0456\u0432-python\/","og_locale":"uk_UA","og_type":"article","og_title":"\u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u043c\u0430\u0441\u0438\u0432\u0456\u0432 \u0443 Python (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438) - \u0421\u0442\u0430\u0442\u043e\u043b\u043e\u0433\u0456\u044f","og_description":"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u043c\u0430\u0441\u0438\u0432\u0456\u0432 \u0443 Python, \u0456\u0437 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438.","og_url":"https:\/\/statorials.org\/uk\/\u043c\u0430\u0441\u0438\u0432-\u043c\u0430\u0441\u0438\u0432\u0456\u0432-python\/","og_site_name":"Statorials","article_published_time":"2023-07-23T07:39:09+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","\u041f\u0440\u0438\u0431\u043b. \u0447\u0430\u0441 \u0447\u0438\u0442\u0430\u043d\u043d\u044f":"1 \u0445\u0432\u0438\u043b\u0438\u043d\u0430"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/uk\/%d0%bc%d0%b0%d1%81%d0%b8%d0%b2-%d0%bc%d0%b0%d1%81%d0%b8%d0%b2%d1%96%d0%b2-python\/","url":"https:\/\/statorials.org\/uk\/%d0%bc%d0%b0%d1%81%d0%b8%d0%b2-%d0%bc%d0%b0%d1%81%d0%b8%d0%b2%d1%96%d0%b2-python\/","name":"\u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u043c\u0430\u0441\u0438\u0432\u0456\u0432 \u0443 Python (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438) - \u0421\u0442\u0430\u0442\u043e\u043b\u043e\u0433\u0456\u044f","isPartOf":{"@id":"https:\/\/statorials.org\/uk\/#website"},"datePublished":"2023-07-23T07:39:09+00:00","dateModified":"2023-07-23T07:39:09+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 \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u043c\u0430\u0441\u0438\u0432\u0456\u0432 \u0443 Python, \u0456\u0437 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438.","breadcrumb":{"@id":"https:\/\/statorials.org\/uk\/%d0%bc%d0%b0%d1%81%d0%b8%d0%b2-%d0%bc%d0%b0%d1%81%d0%b8%d0%b2%d1%96%d0%b2-python\/#breadcrumb"},"inLanguage":"uk","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/uk\/%d0%bc%d0%b0%d1%81%d0%b8%d0%b2-%d0%bc%d0%b0%d1%81%d0%b8%d0%b2%d1%96%d0%b2-python\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/uk\/%d0%bc%d0%b0%d1%81%d0%b8%d0%b2-%d0%bc%d0%b0%d1%81%d0%b8%d0%b2%d1%96%d0%b2-python\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u0434\u043e\u0434\u043e\u043c\u0443","item":"https:\/\/statorials.org\/uk\/"},{"@type":"ListItem","position":2,"name":"\u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 \u043c\u0430\u0441\u0438\u0432\u0456\u0432 \u0443 python (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438)"}]},{"@type":"WebSite","@id":"https:\/\/statorials.org\/uk\/#website","url":"https:\/\/statorials.org\/uk\/","name":"Statorials","description":"\u0412\u0430\u0448 \u043f\u0443\u0442\u0456\u0432\u043d\u0438\u043a \u0434\u043e \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u043d\u043e\u0457 \u043a\u043e\u043c\u043f\u0435\u0442\u0435\u043d\u0442\u043d\u043e\u0441\u0442\u0456!","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/statorials.org\/uk\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"uk"},{"@type":"Person","@id":"https:\/\/statorials.org\/uk\/#\/schema\/person\/2affa1a5da08a4b61ab4becd078c191a","name":"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f","image":{"@type":"ImageObject","inLanguage":"uk","@id":"https:\/\/statorials.org\/uk\/#\/schema\/person\/image\/","url":"https:\/\/statorials.org\/uk\/wp-content\/uploads\/2023\/11\/Dr.-Benjamin-Anderson-96x96.jpg","contentUrl":"https:\/\/statorials.org\/uk\/wp-content\/uploads\/2023\/11\/Dr.-Benjamin-Anderson-96x96.jpg","caption":"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f"},"description":"\u041f\u0440\u0438\u0432\u0456\u0442, \u044f \u0411\u0435\u043d\u0434\u0436\u0430\u043c\u0456\u043d, \u043f\u0440\u043e\u0444\u0435\u0441\u043e\u0440 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438 \u043d\u0430 \u043f\u0435\u043d\u0441\u0456\u0457, \u044f\u043a\u0438\u0439 \u0441\u0442\u0430\u0432 \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"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/uk\/wp-json\/wp\/v2\/posts\/2191"}],"collection":[{"href":"https:\/\/statorials.org\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/uk\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/uk\/wp-json\/wp\/v2\/comments?post=2191"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/uk\/wp-json\/wp\/v2\/posts\/2191\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/uk\/wp-json\/wp\/v2\/media?parent=2191"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/uk\/wp-json\/wp\/v2\/categories?post=2191"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/uk\/wp-json\/wp\/v2\/tags?post=2191"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}