{"id":3366,"date":"2023-07-17T21:09:51","date_gmt":"2023-07-17T21:09:51","guid":{"rendered":"https:\/\/statorials.org\/th\/%e0%b8%99%e0%b8%b8%e0%b9%88%e0%b8%99%e0%b9%80%e0%b8%9e%e0%b8%b4%e0%b9%88%e0%b8%a1%e0%b8%84%e0%b8%ad%e0%b8%a5%e0%b8%b1%e0%b8%a1%e0%b8%99%e0%b9%8c%e0%b8%a7%e0%b9%88%e0%b8%b2%e0%b8%87\/"},"modified":"2023-07-17T21:09:51","modified_gmt":"2023-07-17T21:09:51","slug":"%e0%b8%99%e0%b8%b8%e0%b9%88%e0%b8%99%e0%b9%80%e0%b8%9e%e0%b8%b4%e0%b9%88%e0%b8%a1%e0%b8%84%e0%b8%ad%e0%b8%a5%e0%b8%b1%e0%b8%a1%e0%b8%99%e0%b9%8c%e0%b8%a7%e0%b9%88%e0%b8%b2%e0%b8%87","status":"publish","type":"post","link":"https:\/\/statorials.org\/th\/%e0%b8%99%e0%b8%b8%e0%b9%88%e0%b8%99%e0%b9%80%e0%b8%9e%e0%b8%b4%e0%b9%88%e0%b8%a1%e0%b8%84%e0%b8%ad%e0%b8%a5%e0%b8%b1%e0%b8%a1%e0%b8%99%e0%b9%8c%e0%b8%a7%e0%b9%88%e0%b8%b2%e0%b8%87\/","title":{"rendered":"\u0e27\u0e34\u0e18\u0e35\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e27\u0e48\u0e32\u0e07\u0e43\u0e2b\u0e49\u0e01\u0e31\u0e1a pandas dataframe (3 \u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e27\u0e48\u0e32\u0e07\u0e25\u0e07\u0e43\u0e19 DataFrame \u0e02\u0e2d\u0e07\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0e27\u0e34\u0e18\u0e35\u0e17\u0e35\u0e48 1: \u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e27\u0e48\u0e32\u0e07\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e0a\u0e48\u0e2d\u0e07\u0e27\u0e48\u0e32\u0e07<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">empty_column<\/span> '] = \"\"\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0e27\u0e34\u0e18\u0e35\u0e17\u0e35\u0e48 2: \u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e27\u0e48\u0e32\u0e07\u0e17\u0e35\u0e48\u0e21\u0e35\u0e04\u0e48\u0e32 NaN<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">empty_column<\/span> '] = np. <span style=\"color: #3366ff;\">Nope<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0e27\u0e34\u0e18\u0e35\u0e17\u0e35\u0e48 3: \u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e27\u0e48\u0e32\u0e07\u0e2b\u0e25\u0e32\u0e22\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e14\u0e49\u0e27\u0e22\u0e04\u0e48\u0e32 NaN<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[[' <span style=\"color: #ff0000;\">empty1<\/span> ', ' <span style=\"color: #ff0000;\">empty2<\/span> ', ' <span style=\"color: #ff0000;\">empty3<\/span> ']] = np. <span style=\"color: #3366ff;\">Nope<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e41\u0e2a\u0e14\u0e07\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e41\u0e15\u0e48\u0e25\u0e30\u0e27\u0e34\u0e18\u0e35\u0e01\u0e31\u0e1a DataFrames \u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49:<\/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\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points assists\n0 to 18 5\n1 B 22 7\n2 C 19 7\n3 D 14 9\n4 E 14 12\n5 F 11 9\n6 G 20 9\n7:28 a.m. 4<\/strong><\/span><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e17\u0e35\u0e48 1: \u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e27\u0e48\u0e32\u0e07\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e0a\u0e48\u0e2d\u0e07\u0e27\u0e48\u0e32\u0e07<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0e23\u0e2b\u0e31\u0e2a\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e41\u0e2a\u0e14\u0e07\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e27\u0e48\u0e32\u0e07\u0e17\u0e35\u0e48\u0e21\u0e35\u0e04\u0e48\u0e32\u0e27\u0e48\u0e32\u0e07\u0e17\u0e31\u0e49\u0e07\u0e2b\u0e21\u0e14:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\"><span style=\"color: #008080;\">#add empty column\n<span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">blanks<\/span> '] = \"\"\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points assists blanks\n0 to 18 5       \n1 B 22 7       \n2 C 19 7       \n3 D 14 9       \n4 E 14 12       \n5 F 11 9       \n6 G 20 9       \n7:28 a.m. 4<\/span><\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e43\u0e2b\u0e21\u0e48\u0e17\u0e35\u0e48\u0e40\u0e23\u0e35\u0e22\u0e01\u0e27\u0e48\u0e32 <strong>\u0e0a\u0e48\u0e2d\u0e07\u0e27\u0e48\u0e32\u0e07<\/strong> \u0e08\u0e30\u0e16\u0e39\u0e01\u0e40\u0e15\u0e34\u0e21\u0e14\u0e49\u0e27\u0e22\u0e04\u0e48\u0e32\u0e27\u0e48\u0e32\u0e07<\/span><\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e17\u0e35\u0e48 2: \u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e27\u0e48\u0e32\u0e07\u0e17\u0e35\u0e48\u0e21\u0e35\u0e04\u0e48\u0e32 NaN<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0e23\u0e2b\u0e31\u0e2a\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e41\u0e2a\u0e14\u0e07\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e27\u0e48\u0e32\u0e07\u0e17\u0e35\u0e48\u0e21\u0e35\u0e04\u0e48\u0e32 NaN \u0e17\u0e31\u0e49\u0e07\u0e2b\u0e21\u0e14:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\"><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np<\/span>\n\n#add empty column with NaN values\n<span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">empty<\/span> '] = np. <span style=\"color: #3366ff;\">Nope<\/span>\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points assists empty\n0 A 18 5 NaN\n1 B 22 7 NaN\n2 C 19 7 NaN\n3 D 14 9 NaN\n4 E 14 12 NaN\n5 F 11 9 NaN\n6 G 20 9 NaN\n7:28 a.m. 4 NaN<\/span><\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e43\u0e2b\u0e21\u0e48\u0e17\u0e35\u0e48\u0e40\u0e23\u0e35\u0e22\u0e01\u0e27\u0e48\u0e32 <b>\u0e27\u0e48\u0e32\u0e07<\/b> \u0e08\u0e30\u0e16\u0e39\u0e01\u0e40\u0e15\u0e34\u0e21\u0e14\u0e49\u0e27\u0e22\u0e04\u0e48\u0e32 NaN<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e17\u0e35\u0e48 3: \u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e27\u0e48\u0e32\u0e07\u0e2b\u0e25\u0e32\u0e22\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e14\u0e49\u0e27\u0e22\u0e04\u0e48\u0e32 NaN<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0e23\u0e2b\u0e31\u0e2a\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e41\u0e2a\u0e14\u0e07\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e27\u0e48\u0e32\u0e07\u0e2b\u0e25\u0e32\u0e22\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e14\u0e49\u0e27\u0e22\u0e04\u0e48\u0e32 NaN \u0e17\u0e31\u0e49\u0e07\u0e2b\u0e21\u0e14:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\"><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np<\/span>\n\n#add three empty columns with NaN values\n<span style=\"color: #000000;\">df[[' <span style=\"color: #ff0000;\">empty1<\/span> ', ' <span style=\"color: #ff0000;\">empty2<\/span> ', ' <span style=\"color: #ff0000;\">empty3<\/span> ']] = np. <span style=\"color: #3366ff;\">Nope\n<\/span>\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points assists empty1 empty2 empty3\n0 to 18 5 NaN NaN NaN\n1 B 22 7 NaN NaN NaN\n2 C 19 7 NaN NaN NaN\n3 D 14 9 NaN NaN NaN\n4 E 14 12 NaN NaN NaN\n5 F 11 9 NaN NaN NaN\n6 G 20 9 NaN NaN NaN\n7:28 A.M. 4 NaN NaN NaN<\/span><\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0e42\u0e1b\u0e23\u0e14\u0e17\u0e23\u0e32\u0e1a\u0e27\u0e48\u0e32\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e43\u0e2b\u0e21\u0e48\u0e17\u0e31\u0e49\u0e07\u0e2a\u0e32\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e08\u0e30\u0e40\u0e15\u0e34\u0e21\u0e04\u0e48\u0e32 NaN<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u0e41\u0e2b\u0e25\u0e48\u0e07\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e40\u0e15\u0e34\u0e21<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0e1a\u0e17\u0e0a\u0e48\u0e27\u0e22\u0e2a\u0e2d\u0e19\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e08\u0e30\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e17\u0e33\u0e07\u0e32\u0e19\u0e17\u0e31\u0e48\u0e27\u0e44\u0e1b\u0e2d\u0e37\u0e48\u0e19\u0e46 \u0e43\u0e19\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/th\/\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e0a\u0e37\u0e48\u0e2d\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\/\" target=\"_blank\" rel=\"noopener\">\u0e27\u0e34\u0e18\u0e35\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e0a\u0e37\u0e48\u0e2d\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e43\u0e19 Pandas<\/a><br \/> \u0e27\u0e34\u0e18\u0e35\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e43\u0e19 Pandas DataFrame<br \/> <a href=\"https:\/\/statorials.org\/th\/\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e25\u0e33\u0e14\u0e31\u0e1a\u0e02\u0e2d\u0e07\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\/\" target=\"_blank\" rel=\"noopener\">\u0e27\u0e34\u0e18\u0e35\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e25\u0e33\u0e14\u0e31\u0e1a\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e43\u0e19 Pandas DataFrame<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e27\u0e48\u0e32\u0e07\u0e25\u0e07\u0e43\u0e19 Da [&hellip;]<\/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":[],"class_list":["post-3366","post","type-post","status-publish","format-standard","hentry","category-3"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u0e27\u0e34\u0e18\u0e35\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e27\u0e48\u0e32\u0e07\u0e43\u0e19 Pandas DataFrame (3 \u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07) - Statorials<\/title>\n<meta name=\"description\" content=\"\u0e1a\u0e17\u0e0a\u0e48\u0e27\u0e22\u0e2a\u0e2d\u0e19\u0e19\u0e35\u0e49\u0e08\u0e30\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e27\u0e34\u0e18\u0e35\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e27\u0e48\u0e32\u0e07\u0e43\u0e2b\u0e49\u0e01\u0e31\u0e1a Pandas DataFrame \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e15\u0e48\u0e32\u0e07\u0e46\" \/>\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\/th\/\u0e19\u0e38\u0e48\u0e19\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e27\u0e48\u0e32\u0e07\/\" \/>\n<meta property=\"og:locale\" content=\"th_TH\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u0e27\u0e34\u0e18\u0e35\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e27\u0e48\u0e32\u0e07\u0e43\u0e19 Pandas DataFrame (3 \u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07) - Statorials\" \/>\n<meta property=\"og:description\" content=\"\u0e1a\u0e17\u0e0a\u0e48\u0e27\u0e22\u0e2a\u0e2d\u0e19\u0e19\u0e35\u0e49\u0e08\u0e30\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e27\u0e34\u0e18\u0e35\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e27\u0e48\u0e32\u0e07\u0e43\u0e2b\u0e49\u0e01\u0e31\u0e1a Pandas DataFrame \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e15\u0e48\u0e32\u0e07\u0e46\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/th\/\u0e19\u0e38\u0e48\u0e19\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e27\u0e48\u0e32\u0e07\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-17T21:09:51+00:00\" \/>\n<meta name=\"author\" content=\"\u0e14\u0e23.\u0e40\u0e1a\u0e19\u0e08\u0e32\u0e21\u0e34\u0e19 \u0e41\u0e2d\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c\u0e2a\u0e31\u0e19\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0e14\u0e23.\u0e40\u0e1a\u0e19\u0e08\u0e32\u0e21\u0e34\u0e19 \u0e41\u0e2d\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c\u0e2a\u0e31\u0e19\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u0e19\u0e32\u0e17\u0e35\" \/>\n<script type=\"application\/ld+json\" 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