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Walmart Pre-Owned allows you to find previously owned, well-cared-for items from Walmart’s trusted & performance-managed sellers. Shopping Pre-Owned allows you to bring home the best-quality picks at even lower prices, in addition to extending the life of an item & reducing waste. Find your favorites & shop a range of conditions in every category.

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Python и R в статистике и на&#, (Paperback)

<ul>  <li>Python и R в статистике и на&amp;#, (Paperback)</li>  <li>Author: Sciencia Scripts</li>  <li>ISBN: 9786207655564</li>  <li>Format: Paperback</li>  <li>Publication Date: 2024-06-12</li>  <li>Page Count: 56</li> </ul>

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Эта книга представляет собой руководство по кодам Python и соответствующим кодам R для подключения, манипулирования и анализа данных в том виде, в котором они используются сегодня. Она дополнит и обогатит библиотеки пользователей Python и R, а также поможет учащимся/преподавателям, которые используют одну платформу и собираю&amp;a

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&amp;#1069;&amp;#1090;&amp;#1072; &amp;#1082;&amp;#1085;&amp;#1080;&amp;#1075;&amp;#1072; &amp;#1087;&amp;#1088;&amp;#1077;&amp;#1076;&amp;#1089;&amp;#1090;&amp;#1072;&amp;#1074;&amp;#1083;&amp;#1103;&amp;#1077;&amp;#1090; &amp;#1089;&amp;#1086;&amp;#1073;&amp;#1086;&amp;#1081; &amp;#1088;&amp;#1091;&amp;#1082;&amp;#1086;&amp;#1074;&amp;#1086;&amp;#1076;&amp;#1089;&amp;#1090;&amp;#1074;&amp;#1086; &amp;#1087;&amp;#1086; &amp;#1082;&amp;#1086;&amp;#1076;&amp;#1072;&amp;#1084; Python &amp;#1080; &amp;#1089;&amp;#1086;&amp;#1086;&amp;#1090;&amp;#1074;&amp;#1077;&amp;#1090;&amp;#1089;&amp;#1090;&amp;#1074;&amp;#1091;&amp;#1102;&amp;#1097;&amp;#1080;&amp;#1084; &amp;#1082;&amp;#1086;&amp;#1076;&amp;#1072;&amp;#1084; R &amp;#1076;&amp;#1083;&amp;#1103; &amp;#1087;&amp;#1086;&amp;#1076;&amp;#1082;&amp;#1083;&amp;#1102;&amp;#1095;&amp;#1077;&amp;#1085;&amp;#1080;&amp;#1103;, &amp;#1084;&amp;#1072;&amp;#1085;&amp;#1080;&amp;#1087;&amp;#1091;&amp;#1083;&amp;#1080;&amp;#1088;&amp;#1086;&amp;#1074;&amp;#1072;&amp;#1085;&amp;#1080;&amp;#1103; &amp;#1080; &amp;#1072;&amp;#1085;&amp;#1072;&amp;#1083;&amp;#1080;&amp;#1079;&amp;#1072; &amp;#1076;&amp;#1072;&amp;#1085;&amp;#1085;&amp;#1099;&amp;#1093; &amp;#1074; &amp;#1090;&amp;#1086;&amp;#1084; &amp;#1074;&amp;#1080;&amp;#1076;&amp;#1077;, &amp;#1074; &amp;#1082;&amp;#1086;&amp;#1090;&amp;#1086;&amp;#1088;&amp;#1086;&amp;#1084; &amp;#1086;&amp;#1085;&amp;#1080; &amp;#1080;&amp;#1089;&amp;#1087;&amp;#1086;&amp;#1083;&amp;#1100;&amp;#1079;&amp;#1091;&amp;#1102;&amp;#1090;&amp;#1089;&amp;#1103; &amp;#1089;&amp;#1077;&amp;#1075;&amp;#1086;&amp;#1076;&amp;#1085;&amp;#1103;. &amp;#1054;&amp;#1085;&amp;#1072; &amp;#1076;&amp;#1086;&amp;#1087;&amp;#1086;&amp;#1083;&amp;#1085;&amp;#1080;&amp;#1090; &amp;#1080; &amp;#1086;&amp;#1073;&amp;#1086;&amp;#1075;&amp;#1072;&amp;#1090;&amp;#1080;&amp;#1090; &amp;#1073;&amp;#1080;&amp;#1073;&amp;#1083;&amp;#1080;&amp;#1086;&amp;#1090;&amp;#1077;&amp;#1082;&amp;#1080; &amp;#1087;&amp;#1086;&amp;#1083;&amp;#1100;&amp;#1079;&amp;#1086;&amp;#1074;&amp;#1072;&amp;#1090;&amp;#1077;&amp;#1083;&amp;#1077;&amp;#1081; Python &amp;#1080; R, &amp;#1072; &amp;#1090;&amp;#1072;&amp;#1082;&amp;#1078;&amp;#1077; &amp;#1087;&amp;#1086;&amp;#1084;&amp;#1086;&amp;#1078;&amp;#1077;&amp;#1090; &amp;#1091;&amp;#1095;&amp;#1072;&amp;#1097;&amp;#1080;&amp;#1084;&amp;#1089;&amp;#1103;/&amp;#1087;&amp;#1088;&amp;#1077;&amp;#1087;&amp;#1086;&amp;#1076;&amp;#1072;&amp;#1074;&amp;#1072;&amp;#1090;&amp;#1077;&amp;#1083;&amp;#1103;&amp;#1084;, &amp;#1082;&amp;#1086;&amp;#1090;&amp;#1086;&amp;#1088;&amp;#1099;&amp;#1077; &amp;#1080;&amp;#1089;&amp;#1087;&amp;#1086;&amp;#1083;&amp;#1100;&amp;#1079;&amp;#1091;&amp;#1102;&amp;#1090; &amp;#1086;&amp;#1076;&amp;#1085;&amp;#1091; &amp;#1087;&amp;#1083;&amp;#1072;&amp;#1090;&amp;#1092;&amp;#1086;&amp;#1088;&amp;#1084;&amp;#1091; &amp;#1080; &amp;#1089;&amp;#1086;&amp;#1073;&amp;#1080;&amp;#1088;&amp;#1072;&amp;#1102;&a

Python и R в статистике и на&#, (Paperback)

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