{"id":4318,"date":"2023-07-12T01:20:23","date_gmt":"2023-07-12T01:20:23","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%84%d8%a7-%d8%aa%d8%b5%d9%81-%d8%a7%d9%94%d9%8a-%d8%aa%d8%af%d9%88%d9%8a%d9%86-%d8%b9%d9%84%d9%85%d9%8a\/"},"modified":"2023-07-12T01:20:23","modified_gmt":"2023-07-12T01:20:23","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%84%d8%a7-%d8%aa%d8%b5%d9%81-%d8%a7%d9%94%d9%8a-%d8%aa%d8%af%d9%88%d9%8a%d9%86-%d8%b9%d9%84%d9%85%d9%8a","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%84%d8%a7-%d8%aa%d8%b5%d9%81-%d8%a7%d9%94%d9%8a-%d8%aa%d8%af%d9%88%d9%8a%d9%86-%d8%b9%d9%84%d9%85%d9%8a\/","title":{"rendered":"\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 description() \u0648\u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u062a\u062f\u0648\u064a\u0646 \u0627\u0644\u0639\u0644\u0645\u064a"},"content":{"rendered":"<p><\/p>\n<hr>\n<p style=\";text-align:right;direction:rtl\"><span style=\"color: #000000;\">\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 <strong>description()<\/strong> \u0644\u0625\u0646\u0634\u0627\u0621 <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0627\u0655\u062d\u0635\u0627\u0621-\u0627\u0644\u0627\u0633\u062a\u062f\u0644\u0627\u0644\u064a-\u0627\u0644\u0648\u0635\u0641\u064a\/\" target=\"_blank\" rel=\"noopener\">\u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a \u0648\u0635\u0641\u064a\u0629<\/a> \u0644\u0644\u0645\u062a\u063a\u064a\u0631\u0627\u062a \u0641\u064a pandas DataFrame.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u062a\u062f\u0648\u064a\u0646 \u0627\u0644\u0639\u0644\u0645\u064a \u0645\u0646 \u0645\u062e\u0631\u062c\u0627\u062a \u0627\u0644\u062f\u0627\u0644\u0629 <strong>description()<\/strong> \u060c \u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0637\u0631\u0642 \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u062a\u062f\u0648\u064a\u0646 \u0627\u0644\u0639\u0644\u0645\u064a \u0639\u0646\u062f \u0627\u0633\u062a\u062e\u062f\u0627\u0645 description() \u0645\u0639 \u0639\u0645\u0648\u062f<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong>df[' <span style=\"color: #ff0000;\">my_column<\/span> ']. <span style=\"color: #3366ff;\">describe<\/span> (). <span style=\"color: #3366ff;\">apply<\/span> ( <span style=\"color: #008000;\">lambda<\/span> x: <span style=\"color: #008000;\">format<\/span> (x, ' <span style=\"color: #ff0000;\">f<\/span> '))<\/strong><\/span><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u062a\u062f\u0648\u064a\u0646 \u0627\u0644\u0639\u0644\u0645\u064a \u0639\u0646\u062f \u0627\u0633\u062a\u062e\u062f\u0627\u0645 description() \u0645\u0639 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong>df. <span style=\"color: #3366ff;\">describe<\/span> (). <span style=\"color: #3366ff;\">apply<\/span> ( <span style=\"color: #008000;\">lambda<\/span> x: <span style=\"color: #3366ff;\">x.apply<\/span> (' <span style=\"color: #ff0000;\">{0:.5f}<\/span> '. <span style=\"color: #3366ff;\">format<\/span> ))\n<\/strong><\/span><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u062a\u0648\u0636\u062d \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0643\u0644 \u0637\u0631\u064a\u0642\u0629 \u0639\u0645\u0644\u064a\u064b\u0627 \u0645\u0639 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 DataFrame \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">store<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [8450550, 406530, 53000, 6000, 2000, 4000, 5400, 6500],\n                   ' <span style=\"color: #ff0000;\">returns<\/span> ':[2212200, 145200, 300, 2500, 700, 600, 800, 1200]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  store sales returns\n0 A 8450550 2212200\n1 A 406530 145200\n2 A 53000 300\n3 A 6000 2500\n4 B 2000 700\n5 B 4000 600\n6 B 5400 800\n7 B 6500 1200<\/strong><\/span><\/pre>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u062b\u0627\u0644 1: \u0642\u0645 \u0628\u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u062a\u062f\u0648\u064a\u0646 \u0627\u0644\u0639\u0644\u0645\u064a \u0639\u0646\u062f \u0627\u0633\u062a\u062e\u062f\u0627\u0645 description() \u0645\u0639 \u0639\u0645\u0648\u062f<\/strong><\/span><\/h2>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0625\u0630\u0627 \u0627\u0633\u062a\u062e\u062f\u0645\u0646\u0627 \u0627\u0644\u062f\u0627\u0644\u0629 <strong>description()<\/strong> \u0644\u062d\u0633\u0627\u0628 \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a \u0627\u0644\u0648\u0635\u0641\u064a\u0629 \u0644\u0639\u0645\u0648\u062f <strong>\u0627\u0644\u0645\u0628\u064a\u0639\u0627\u062a<\/strong> \u060c \u0641\u0633\u064a\u062a\u0645 \u0639\u0631\u0636 \u0642\u064a\u0645 \u0627\u0644\u0645\u062e\u0631\u062c\u0627\u062a \u0628\u0627\u0644\u062a\u0631\u0645\u064a\u0632 \u0627\u0644\u0639\u0644\u0645\u064a:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate descriptive statistics for sales column\n<span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">sales<\/span> ']. <span style=\"color: #3366ff;\">describe<\/span> ()\n<\/span>\n<\/span>count 8.000000e+00\nmean 1.116748e+06\nstd 2.966552e+06\nmin 2.000000e+03\n25% 5.050000e+03\n50% 6.250000e+03\n75% 1.413825e+05\nmax 8.450550e+06\nName: sales, dtype: float64<\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u0644\u0627\u062d\u0638 \u0623\u0646\u0647 \u064a\u062a\u0645 \u0639\u0631\u0636 \u0643\u0644 \u0645\u0646 \u0642\u064a\u0645 \u0627\u0644\u0625\u062e\u0631\u0627\u062c \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062a\u062f\u0648\u064a\u0646 \u0627\u0644\u0639\u0644\u0645\u064a.<\/span><\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0635\u064a\u063a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0644\u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u062a\u062f\u0648\u064a\u0646 \u0627\u0644\u0639\u0644\u0645\u064a \u0645\u0646 \u0627\u0644\u0625\u062e\u0631\u0627\u062c:<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#calculate descriptive statistics for sales column and suppress scientific notation<\/span>\ndf[' <span style=\"color: #ff0000;\">sales<\/span> ']. <span style=\"color: #3366ff;\">describe<\/span> (). <span style=\"color: #3366ff;\">apply<\/span> ( <span style=\"color: #008000;\">lambda<\/span> x: <span style=\"color: #008000;\">format<\/span> (x, ' <span style=\"color: #ff0000;\">f<\/span> '))\n\ncount 8.000000\nmean 1116747.500000\nstd 2966551.594104\nmin 2000.000000\n25% 5050.000000\n50% 6250.000000\n75% 141382.500000\nmax 8450550.000000\nName: sales, dtype: object\n<\/strong><\/span><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0627\u062d\u0638 \u0623\u0646 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u0641\u064a \u0627\u0644\u0625\u062e\u0631\u0627\u062c \u064a\u062a\u0645 \u0639\u0631\u0636\u0647\u0627 \u0627\u0644\u0622\u0646 \u0628\u062f\u0648\u0646 \u062a\u062f\u0648\u064a\u0646 \u0639\u0644\u0645\u064a.<\/span><\/p>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u062b\u0627\u0644 2: \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u062a\u0631\u0645\u064a\u0632 \u0627\u0644\u0639\u0644\u0645\u064a \u0639\u0646\u062f \u0627\u0633\u062a\u062e\u062f\u0627\u0645 description() \u0645\u0639 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629<\/strong><\/span><\/h2>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0625\u0630\u0627 \u0627\u0633\u062a\u062e\u062f\u0645\u0646\u0627 \u0627\u0644\u062f\u0627\u0644\u0629 <strong>description()<\/strong> \u0644\u062d\u0633\u0627\u0628 \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a \u0627\u0644\u0648\u0635\u0641\u064a\u0629 \u0644\u0643\u0644 \u0639\u0645\u0648\u062f \u0631\u0642\u0645\u064a\u060c \u0641\u0633\u064a\u062a\u0645 \u0639\u0631\u0636 \u0642\u064a\u0645 \u0627\u0644\u0625\u062e\u0631\u0627\u062c \u0628\u0627\u0644\u062a\u0631\u0645\u064a\u0632 \u0627\u0644\u0639\u0644\u0645\u064a:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate descriptive statistics for each numeric column\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">describe<\/span> ()\n<\/span><\/span>\n               sales returns\ncount 8.000000e+00 8.000000e+00\nmean 1.116748e+06 2.954375e+05\nstd 2.966552e+06 7.761309e+05\nmin 2.000000e+03 3.000000e+02\n25% 5.050000e+03 6.750000e+02\n50% 6.250000e+03 1.000000e+03\n75% 1.413825e+05 3.817500e+04\nmax 8.450550e+06 2.212200e+06<\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0627\u062d\u0638 \u0623\u0646\u0647 \u064a\u062a\u0645 \u0639\u0631\u0636 \u0643\u0644 \u0645\u0646 \u0642\u064a\u0645 \u0627\u0644\u0625\u062e\u0631\u0627\u062c \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062a\u062f\u0648\u064a\u0646 \u0627\u0644\u0639\u0644\u0645\u064a.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0635\u064a\u063a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0644\u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u062a\u062f\u0648\u064a\u0646 \u0627\u0644\u0639\u0644\u0645\u064a \u0645\u0646 \u0627\u0644\u0625\u062e\u0631\u0627\u062c:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#calculate descriptive statistics for numerical columns and suppress scientific notation<\/span>\ndf. <span style=\"color: #3366ff;\">describe<\/span> (). <span style=\"color: #3366ff;\">apply<\/span> ( <span style=\"color: #008000;\">lambda<\/span> x: <span style=\"color: #3366ff;\">x.apply<\/span> (' <span style=\"color: #ff0000;\">{0:.5f}<\/span> '. <span style=\"color: #3366ff;\">format<\/span> ))\n\n                sales returns\ncount 8.00000 8.00000\nmean 1116747.50000 295437.50000\nstd 2966551.59410 776130.93692\nmin 2000.00000 300.00000\n25% 5050.00000 675.00000\n50% 6250.00000 1000.00000\n75% 141382.50000 38175.00000\nmax 8450550.00000 2212200.00000\n<\/strong><\/span><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0627\u062d\u0638 \u0623\u0646 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u0641\u064a \u0627\u0644\u0625\u062e\u0631\u0627\u062c \u064a\u062a\u0645 \u0639\u0631\u0636\u0647\u0627 \u0627\u0644\u0622\u0646 \u0628\u062f\u0648\u0646 \u062a\u062f\u0648\u064a\u0646 \u0639\u0644\u0645\u064a.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0627\u062d\u0638 \u0623\u0646\u0646\u0627 \u0641\u064a \u0647\u0630\u0627 \u0627\u0644\u0645\u062b\u0627\u0644 \u0627\u0633\u062a\u062e\u062f\u0645\u0646\u0627 <strong>0:.5f<\/strong> \u0644\u0639\u0631\u0636 <strong>5<\/strong> \u0645\u0646\u0627\u0632\u0644 \u0639\u0634\u0631\u064a\u0629 \u0641\u064a \u0627\u0644\u0625\u062e\u0631\u0627\u062c.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0627 \u062a\u062a\u0631\u062f\u062f \u0641\u064a \u0627\u0633\u062a\u0628\u062f\u0627\u0644 \u0627\u0644\u0631\u0642\u0645 <strong>5<\/strong> \u0628\u0631\u0642\u0645 \u0645\u062e\u062a\u0644\u0641 \u0644\u0639\u0631\u0636 \u0639\u062f\u062f \u0645\u062e\u062a\u0644\u0641 \u0645\u0646 \u0627\u0644\u0645\u0646\u0627\u0632\u0644 \u0627\u0644\u0639\u0634\u0631\u064a\u0629.<\/span><\/p>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h2>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u062a\u0634\u0631\u062d \u0627\u0644\u0628\u0631\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u062a\u0646\u0641\u064a\u0630 \u0627\u0644\u0639\u0645\u0644\u064a\u0627\u062a \u0627\u0644\u0634\u0627\u0626\u0639\u0629 \u0627\u0644\u0623\u062e\u0631\u0649 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627:<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u0627\u0644\u0645\u0628\u0644\u063a-\u0627\u0644\u062a\u0631\u0627\u0643\u0645\u064a-\u0644\u0643\u0644-\u0645\u062c\u0645\u0648\u0639\u0629\/\" target=\"_blank\" rel=\"noopener\">\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062c\u0645\u0648\u0639 \u0627\u0644\u062a\u0631\u0627\u0643\u0645\u064a \u0644\u0643\u0644 \u0645\u062c\u0645\u0648\u0639\u0629<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0639\u062f\u062f-\u0645\u062c\u0645\u0648\u0639\u0627\u062a-\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u0641\u0631\u064a\u062f-\u0645\u0646-\u0646\u0648\u0639\u0647\/\" target=\"_blank\" rel=\"noopener\">\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0641\u0631\u064a\u062f\u0629 \u062d\u0633\u0628 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629-\u0639\u0646-\u0637\u0631\u064a\u0642-\u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637\/\" target=\"_blank\" rel=\"noopener\">\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u062d\u0633\u0628 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 description() \u0644\u0625\u0646\u0634\u0627\u0621 \u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a \u0648\u0635\u0641\u064a\u0629 \u0644\u0644\u0645\u062a\u063a\u064a\u0631\u0627\u062a \u0641\u064a pandas DataFrame. \u0644\u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u062a\u062f\u0648\u064a\u0646 \u0627\u0644\u0639\u0644\u0645\u064a \u0645\u0646 \u0645\u062e\u0631\u062c\u0627\u062a \u0627\u0644\u062f\u0627\u0644\u0629 description() \u060c \u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0637\u0631\u0642 \u0627\u0644\u062a\u0627\u0644\u064a\u0629: \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u062a\u062f\u0648\u064a\u0646 \u0627\u0644\u0639\u0644\u0645\u064a \u0639\u0646\u062f \u0627\u0633\u062a\u062e\u062f\u0627\u0645 description() \u0645\u0639 \u0639\u0645\u0648\u062f df[&#8216; my_column &#8216;]. describe (). apply ( lambda x: format (x, &#8216; f &#8216;)) \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u062a\u062f\u0648\u064a\u0646 \u0627\u0644\u0639\u0644\u0645\u064a \u0639\u0646\u062f \u0627\u0633\u062a\u062e\u062f\u0627\u0645 description() [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 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