{"id":899,"date":"2023-07-28T09:10:08","date_gmt":"2023-07-28T09:10:08","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%be%d1%86%d0%b8%d1%84%d1%80%d0%be%d0%b2%d0%b0%d1%82%d1%8c-numpy\/"},"modified":"2023-07-28T09:10:08","modified_gmt":"2023-07-28T09:10:08","slug":"%d0%be%d1%86%d0%b8%d1%84%d1%80%d0%be%d0%b2%d0%b0%d1%82%d1%8c-numpy","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%be%d1%86%d0%b8%d1%84%d1%80%d0%be%d0%b2%d0%b0%d1%82%d1%8c-numpy\/","title":{"rendered":"\u041a\u0430\u043a \u0433\u0440\u0443\u043f\u043f\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0435 \u0432 python \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e numpy.digitize()"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0427\u0430\u0441\u0442\u043e \u0432\u0430\u043c \u043c\u043e\u0436\u0435\u0442 \u0431\u044b\u0442\u044c \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u043e \u043f\u043e\u043c\u0435\u0441\u0442\u0438\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 \u0432 \u00ab\u043a\u043e\u0440\u0437\u0438\u043d\u044b\u00bb \u0432 Python.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041a \u0441\u0447\u0430\u0441\u0442\u044c\u044e, \u044d\u0442\u043e \u043b\u0435\u0433\u043a\u043e \u0441\u0434\u0435\u043b\u0430\u0442\u044c \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0444\u0443\u043d\u043a\u0446\u0438\u0438 <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.digitize.html\" target=\"_blank\" rel=\"noopener\">numpy.digitize()<\/a> , \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441:<br \/><\/span><\/p>\n<p> <strong><span style=\"color: #000000;\">numpy.digitize(x, bins, right=False)<\/span><\/strong><\/p>\n<p> <span style=\"color: #000000;\">\u0417\u043e\u043b\u043e\u0442\u043e:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>x:<\/strong> \u043c\u0430\u0441\u0441\u0438\u0432 \u0434\u043b\u044f \u0433\u0440\u0443\u043f\u043f\u0438\u0440\u043e\u0432\u043a\u0438.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\u0431\u0443\u043d\u043a\u0435\u0440\u044b:<\/strong> \u043c\u0430\u0441\u0441\u0438\u0432 \u0431\u0443\u043d\u043a\u0435\u0440\u043e\u0432.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\u0441\u043f\u0440\u0430\u0432\u0430:<\/strong> \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0442 \u043b\u0438 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b\u044b \u043f\u0440\u0430\u0432\u044b\u0439 \u0438\u043b\u0438 \u043b\u0435\u0432\u044b\u0439 \u043a\u0440\u0430\u0439 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b\u0430. \u041f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b \u043d\u0435 \u0432\u043a\u043b\u044e\u0447\u0430\u0435\u0442 \u043f\u0440\u0430\u0432\u044b\u0439 \u043a\u0440\u0430\u0439.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0412 \u044d\u0442\u043e\u043c \u0443\u0440\u043e\u043a\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u0432 \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u044d\u0442\u043e\u0439 \u0444\u0443\u043d\u043a\u0446\u0438\u0438.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440 1: \u041f\u043e\u043c\u0435\u0441\u0442\u0438\u0442\u0435 \u0432\u0441\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0432 \u0434\u0432\u0435 \u043a\u043e\u0440\u0437\u0438\u043d\u044b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0440\u0430\u0437\u043c\u0435\u0441\u0442\u0438\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u043c\u0430\u0441\u0441\u0438\u0432\u0430 \u0432 \u0434\u0432\u0430 \u0431\u0443\u043d\u043a\u0435\u0440\u0430:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>0<\/strong> , \u0435\u0441\u043b\u0438 \u0445 &lt; 20<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1<\/strong> , \u0435\u0441\u043b\u0438 \u0445 \u2265 20<\/span><\/li>\n<\/ul>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create data<\/span>\ndata = [2, 4, 4, 7, 12, 14, 19, 20, 24, 31, 34]\n\n<span style=\"color: #008080;\">#place values into bins\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">digitize<\/span> (data, bins=[20])\n\narray([0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1])\n<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440 2: \u0420\u0430\u0437\u043c\u0435\u0441\u0442\u0438\u0442\u0435 \u0432\u0441\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0432 \u0442\u0440\u0438 \u044f\u0447\u0435\u0439\u043a\u0438<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0440\u0430\u0437\u043c\u0435\u0441\u0442\u0438\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u043c\u0430\u0441\u0441\u0438\u0432\u0430 \u0432 \u0442\u0440\u0438 \u044f\u0447\u0435\u0439\u043a\u0438:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>0<\/strong> , \u0435\u0441\u043b\u0438 \u0445 &lt; 10<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1<\/strong> , \u0435\u0441\u043b\u0438 10 \u2264 x &lt; 20<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>2<\/strong> , \u0435\u0441\u043b\u0438 \u0445 \u2265 20<\/span><\/li>\n<\/ul>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create data<\/span>\ndata = [2, 4, 4, 7, 12, 14, 20, 22, 24, 31, 34]\n\n<span style=\"color: #008080;\">#place values into bins\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">digitize<\/span> (data, bins=[10, 20])\n\narray([0, 0, 0, 0, 1, 1, 2, 2, 2, 2, 2])<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435: \u0435\u0441\u043b\u0438 \u043c\u044b \u0443\u043a\u0430\u0436\u0435\u043c right= <strong>True<\/strong> , \u0442\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0431\u0443\u0434\u0443\u0442 \u043f\u043e\u043c\u0435\u0449\u0435\u043d\u044b \u0432 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u044f\u0447\u0435\u0439\u043a\u0438:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>0<\/strong> , \u0435\u0441\u043b\u0438 \u0445 \u2264 10<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1<\/strong> , \u0435\u0441\u043b\u0438 10 &lt; x \u2264 20<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>2<\/strong> , \u0435\u0441\u043b\u0438 \u0445 &gt; 20<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u041a\u0430\u0436\u0434\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b \u0431\u0443\u0434\u0435\u0442 \u0432\u043a\u043b\u044e\u0447\u0430\u0442\u044c \u043f\u0440\u0430\u0432\u044b\u0439 \u043a\u0440\u0430\u0439 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b\u0430. \u0412\u043e\u0442 \u043a\u0430\u043a \u044d\u0442\u043e \u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createdata<\/span>\ndata = [2, 4, 4, 7, 12, 14, 20, 22, 24, 31, 34]\n\n<span style=\"color: #008080;\">#place values into bins\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">digitize<\/span> (data, bins=[10, 20], right= <span style=\"color: #008000;\">True<\/span> )\n\narray([0, 0, 0, 0, 1, 1, 1, 2, 2, 2, 2])<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440 3: \u0420\u0430\u0437\u043c\u0435\u0441\u0442\u0438\u0442\u0435 \u0432\u0441\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0432 \u0447\u0435\u0442\u044b\u0440\u0435 \u044f\u0447\u0435\u0439\u043a\u0438<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0440\u0430\u0437\u043c\u0435\u0441\u0442\u0438\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u043c\u0430\u0441\u0441\u0438\u0432\u0430 \u0432 \u0442\u0440\u0438 \u044f\u0447\u0435\u0439\u043a\u0438:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>0<\/strong> , \u0435\u0441\u043b\u0438 \u0445 &lt; 10<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1<\/strong> , \u0435\u0441\u043b\u0438 10 \u2264 x &lt; 20<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>2<\/strong> , \u0435\u0441\u043b\u0438 20 \u2264 x &lt; 30<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>3<\/strong> , \u0435\u0441\u043b\u0438 \u0445 \u2265 30<\/span><\/li>\n<\/ul>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createdata<\/span>\ndata = [2, 4, 4, 7, 12, 14, 20, 22, 24, 31, 34]\n\n<span style=\"color: #008080;\">#place values into bins\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">digitize<\/span> (data, bins=[10, 20, 30])\n\narray([0, 0, 0, 0, 1, 1, 2, 2, 2, 3, 3])\n<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440 4: \u041f\u043e\u0434\u0441\u0447\u0438\u0442\u0430\u0439\u0442\u0435 \u0447\u0430\u0441\u0442\u043e\u0442\u0443 \u043a\u0430\u0436\u0434\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b\u0430<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0415\u0449\u0435 \u043e\u0434\u043d\u0430 \u043f\u043e\u043b\u0435\u0437\u043d\u0430\u044f \u0444\u0443\u043d\u043a\u0446\u0438\u044f NumPy, \u0434\u043e\u043f\u043e\u043b\u043d\u044f\u044e\u0449\u0430\u044f \u0444\u0443\u043d\u043a\u0446\u0438\u044e numpy.digitize(), \u2014 \u044d\u0442\u043e \u0444\u0443\u043d\u043a\u0446\u0438\u044f <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.bincount.html#numpy.bincount\" target=\"_blank\" rel=\"noopener\">numpy.bincount()<\/a> , \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043f\u043e\u0434\u0441\u0447\u0438\u0442\u044b\u0432\u0430\u0435\u0442 \u0447\u0430\u0441\u0442\u043e\u0442\u044b \u043a\u0430\u0436\u0434\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b\u0430.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0440\u0430\u0437\u043c\u0435\u0441\u0442\u0438\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u043c\u0430\u0441\u0441\u0438\u0432\u0430 \u0432 \u0442\u0440\u0438 \u0433\u0440\u0443\u043f\u043f\u044b, \u0430 \u0437\u0430\u0442\u0435\u043c \u043f\u043e\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0447\u0430\u0441\u0442\u043e\u0442\u0443 \u043a\u0430\u0436\u0434\u043e\u0439 \u0433\u0440\u0443\u043f\u043f\u044b:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createdata<\/span>\ndata = [2, 4, 4, 7, 12, 14, 20, 22, 24, 31, 34]\n\n<span style=\"color: #008080;\">#place values into bins\n<span style=\"color: #000000;\">bin_data = np. <span style=\"color: #3366ff;\">digitize<\/span> (data, bins=[10, 20])\n\n<span style=\"color: #008080;\">#view binned data<\/span>\nbin_data\n\narray([0, 0, 0, 0, 1, 1, 2, 2, 2, 2, 2])\n\n<span style=\"color: #008080;\">#count frequency of each bin\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">bincount<\/span> (bin_data)\n\narray([4, 2, 5])\n<\/span><\/span><\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0412\u044b\u0432\u043e\u0434 \u0433\u043e\u0432\u043e\u0440\u0438\u0442 \u043d\u0430\u043c, \u0447\u0442\u043e:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u042f\u0447\u0435\u0439\u043a\u0430 \u00ab0\u00bb \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 <strong>4<\/strong> \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u042f\u0447\u0435\u0439\u043a\u0430 \u00ab1\u00bb \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 <strong>2<\/strong> \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u0411\u0438\u043d \u00ab2\u00bb \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 <strong>5<\/strong> \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><em><span style=\"color: #000000;\">\u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0430 \u043f\u043e Python \u043c\u043e\u0436\u043d\u043e \u043d\u0430\u0439\u0442\u0438 \u0437\u0434\u0435\u0441\u044c .<\/span><\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0427\u0430\u0441\u0442\u043e \u0432\u0430\u043c \u043c\u043e\u0436\u0435\u0442 \u0431\u044b\u0442\u044c \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u043e \u043f\u043e\u043c\u0435\u0441\u0442\u0438\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 \u0432 \u00ab\u043a\u043e\u0440\u0437\u0438\u043d\u044b\u00bb \u0432 Python. \u041a \u0441\u0447\u0430\u0441\u0442\u044c\u044e, \u044d\u0442\u043e \u043b\u0435\u0433\u043a\u043e \u0441\u0434\u0435\u043b\u0430\u0442\u044c \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0444\u0443\u043d\u043a\u0446\u0438\u0438 numpy.digitize() , \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441: numpy.digitize(x, bins, right=False) \u0417\u043e\u043b\u043e\u0442\u043e: x: \u043c\u0430\u0441\u0441\u0438\u0432 \u0434\u043b\u044f \u0433\u0440\u0443\u043f\u043f\u0438\u0440\u043e\u0432\u043a\u0438. \u0431\u0443\u043d\u043a\u0435\u0440\u044b: \u043c\u0430\u0441\u0441\u0438\u0432 \u0431\u0443\u043d\u043a\u0435\u0440\u043e\u0432. \u0441\u043f\u0440\u0430\u0432\u0430: \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0442 \u043b\u0438 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b\u044b \u043f\u0440\u0430\u0432\u044b\u0439 \u0438\u043b\u0438 \u043b\u0435\u0432\u044b\u0439 \u043a\u0440\u0430\u0439 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b\u0430. \u041f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b \u043d\u0435 \u0432\u043a\u043b\u044e\u0447\u0430\u0435\u0442 \u043f\u0440\u0430\u0432\u044b\u0439 \u043a\u0440\u0430\u0439. \u0412 [&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":[],"class_list":["post-899","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u041a\u0430\u043a \u0433\u0440\u0443\u043f\u043f\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0435 \u0432 Python \u0441 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