{"id":9344,"date":"2026-09-16T09:00:00","date_gmt":"2026-09-16T09:00:00","guid":{"rendered":"https:\/\/otus.ru\/journal\/?p=9344"},"modified":"2026-09-25T15:50:30","modified_gmt":"2026-09-25T15:50:30","slug":"jupyternotebook-i-jupyterlab-opisanie-i-nachalo-raboty","status":"publish","type":"post","link":"https:\/\/otus.ru\/journal\/jupyternotebook-i-jupyterlab-opisanie-i-nachalo-raboty\/","title":{"rendered":"Jupyter Notebook \u0438 JupyterLab: \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u0438 \u043d\u0430\u0447\u0430\u043b\u043e \u0440\u0430\u0431\u043e\u0442\u044b"},"content":{"rendered":"<p><strong>Jupyter Notebook<\/strong> &#8212; \u044d\u0442\u043e \u0432\u0435\u0431-\u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u0435 \u0438 \u0444\u043e\u0440\u043c\u0430\u0442 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">.ipynb<\/code>, \u0432 \u043a\u043e\u0442\u043e\u0440\u043e\u043c \u043a\u043e\u0434 \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e \u044f\u0447\u0435\u0439\u043a\u0430\u043c, \u0430 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442 (\u0447\u0438\u0441\u043b\u0430, \u0442\u0430\u0431\u043b\u0438\u0446\u044b, \u0433\u0440\u0430\u0444\u0438\u043a\u0438) \u0441\u0440\u0430\u0437\u0443 \u0432\u044b\u0432\u043e\u0434\u0438\u0442\u0441\u044f \u0440\u044f\u0434\u043e\u043c \u0441 \u043a\u043e\u0434\u043e\u043c. <strong>JupyterLab<\/strong> &#8212; \u044d\u0442\u043e \u0431\u043e\u043b\u0435\u0435 \u0433\u0438\u0431\u043a\u0430\u044f \u0441\u0440\u0435\u0434\u0430 \u043f\u043e\u0432\u0435\u0440\u0445 \u0442\u0435\u0445 \u0436\u0435 \u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u043e\u0432: \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043d\u043e\u0443\u0442\u0431\u0443\u043a\u043e\u0432, \u0442\u0435\u0440\u043c\u0438\u043d\u0430\u043b, \u0440\u0435\u0434\u0430\u043a\u0442\u043e\u0440 \u0438 \u0444\u0430\u0439\u043b\u043e\u0432\u044b\u0439 \u043c\u0435\u043d\u0435\u0434\u0436\u0435\u0440 \u0432 \u043e\u0434\u043d\u043e\u043c \u043e\u043a\u043d\u0435 \u0441 \u0432\u043a\u043b\u0430\u0434\u043a\u0430\u043c\u0438. \u041e\u0431\u0430 \u0447\u0430\u0449\u0435 \u0432\u0441\u0435\u0433\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0442 \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0434\u0430\u043d\u043d\u044b\u0445, \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0438 \u043d\u0430\u0443\u0447\u043d\u044b\u0445 \u0440\u0430\u0441\u0447\u0435\u0442\u043e\u0432 \u043d\u0430 Python.<\/p>\n<div class=\"oj-toc\" style=\"background:#f6f6f6;border-radius:8px;padding:14px 20px;margin:20px 0\">\n<p><strong>\u0421\u043e\u0434\u0435\u0440\u0436\u0430\u043d\u0438\u0435<\/strong><\/p>\n<ol>\n<li><a href=\"#s1\">IPython, Jupyter Notebook \u0438 JupyterLab: \u0447\u0442\u043e \u0435\u0441\u0442\u044c \u0447\u0442\u043e<\/a><\/li>\n<li><a href=\"#s2\">\u0423\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0430 \u0447\u0435\u0440\u0435\u0437 pip<\/a><\/li>\n<li><a href=\"#s3\">\u0423\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0430 \u0447\u0435\u0440\u0435\u0437 Anaconda<\/a><\/li>\n<li><a href=\"#s4\">\u0417\u0430\u043f\u0443\u0441\u043a<\/a><\/li>\n<li><a href=\"#s5\">\u042f\u0447\u0435\u0439\u043a\u0438 \u0438 \u044f\u0434\u0440\u043e<\/a><\/li>\n<li><a href=\"#s6\">\u041c\u0430\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u043a\u043e\u043c\u0430\u043d\u0434\u044b<\/a><\/li>\n<li><a href=\"#s7\">\u0427\u0435\u043c \u043e\u0442\u043b\u0438\u0447\u0430\u044e\u0442\u0441\u044f Notebook \u0438 JupyterLab<\/a><\/li>\n<li><a href=\"#s8\">\u0413\u0434\u0435 \u044d\u0442\u043e \u043d\u0443\u0436\u043d\u043e \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435<\/a><\/li>\n<li><a href=\"#s9\">FAQ<\/a><\/li>\n<li><a href=\"#s10\">\u0412\u044b\u0432\u043e\u0434\u044b<\/a><\/li>\n<\/ol>\n<\/div>\n<p>\u041d\u0438\u0436\u0435 \u0440\u0430\u0437\u0431\u0435\u0440\u0443, \u0447\u0435\u043c Notebook, JupyterLab \u0438 IPython \u043e\u0442\u043b\u0438\u0447\u0430\u044e\u0442\u0441\u044f \u0434\u0440\u0443\u0433 \u043e\u0442 \u0434\u0440\u0443\u0433\u0430, \u043a\u0430\u043a \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c \u0438 \u0437\u0430\u043f\u0443\u0441\u0442\u0438\u0442\u044c \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442, \u043a\u0430\u043a \u0443\u0441\u0442\u0440\u043e\u0435\u043d\u044b \u044f\u0447\u0435\u0439\u043a\u0438 \u0438 \u044f\u0434\u0440\u043e \u0438 \u0447\u0442\u043e \u0434\u0430\u044e\u0442 \u043c\u0430\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u043a\u043e\u043c\u0430\u043d\u0434\u044b. \u0418\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441 \u0438 \u0432\u0435\u0440\u0441\u0438\u0438 \u043f\u0440\u043e\u0432\u0435\u0440\u0435\u043d\u044b \u043d\u0430 JupyterLab 4.6.3 \u0438 Jupyter Notebook 7.6.2 (\u0430\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u0435 \u0441\u0442\u0430\u0431\u0438\u043b\u044c\u043d\u044b\u0435 \u0432\u0435\u0440\u0441\u0438\u0438 \u043d\u0430 16.09.2026); \u043a\u043e\u043c\u0430\u043d\u0434\u044b \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0438 \u0438 \u0437\u0430\u043f\u0443\u0441\u043a\u0430 \u0440\u0430\u0431\u043e\u0442\u0430\u044e\u0442 \u0438 \u043d\u0430 \u0431\u043e\u043b\u0435\u0435 \u0440\u0430\u043d\u043d\u0438\u0445 \u0432\u044b\u043f\u0443\u0441\u043a\u0430\u0445 \u043b\u0438\u043d\u0435\u0439\u043a\u0438 4\/7.<\/p>\n<h2 id=\"s1\">IPython, Jupyter Notebook \u0438 JupyterLab: \u0447\u0442\u043e \u0435\u0441\u0442\u044c \u0447\u0442\u043e<\/h2>\n<p>\u0422\u0440\u0438 \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u044f \u043f\u043e\u0441\u0442\u043e\u044f\u043d\u043d\u043e \u043f\u0443\u0442\u0430\u044e\u0442, \u0445\u043e\u0442\u044f \u044d\u0442\u043e \u0440\u0430\u0437\u043d\u044b\u0435 \u0443\u0440\u043e\u0432\u043d\u0438 \u043e\u0434\u043d\u043e\u0439 \u0441\u0438\u0441\u0442\u0435\u043c\u044b. \u041f\u0440\u043e\u0449\u0435 \u0432\u0441\u0435\u0433\u043e \u0440\u0430\u0437\u0432\u0435\u0441\u0442\u0438 \u0438\u0445 \u043f\u043e \u043e\u0434\u043d\u043e\u0439 \u0446\u0435\u043f\u043e\u0447\u043a\u0435 \u00ab\u043a\u043e\u0434 \u0432 \u044f\u0447\u0435\u0439\u043a\u0435 -&gt; \u044f\u0434\u0440\u043e \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442 -&gt; \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u00bb:<\/p>\n<ul>\n<li><strong>IPython<\/strong> &#8212; \u0438\u043d\u0442\u0435\u0440\u0430\u043a\u0442\u0438\u0432\u043d\u0430\u044f \u043e\u0431\u043e\u043b\u043e\u0447\u043a\u0430 Python \u0438 \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0435 \u044f\u0434\u0440\u043e (kernel). \u0418\u043c\u0435\u043d\u043d\u043e \u043e\u043d\u043e \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442 \u043a\u043e\u0434 \u044f\u0447\u0435\u0439\u043a\u0438 \u0438 \u0445\u0440\u0430\u043d\u0438\u0442 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0435 \u043c\u0435\u0436\u0434\u0443 \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u043c\u0438. \u041c\u0430\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u043a\u043e\u043c\u0430\u043d\u0434\u044b (\u043e \u043d\u0438\u0445 \u043d\u0438\u0436\u0435) &#8212; \u044d\u0442\u043e \u0444\u0443\u043d\u043a\u0446\u0438\u044f IPython, \u0430 \u043d\u0435 \u0441\u0430\u043c\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441\u0430.<\/li>\n<li><strong>Jupyter Notebook<\/strong> &#8212; \u0432\u0435\u0431-\u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u0435 \u0438 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">.ipynb<\/code>: \u0431\u0440\u0430\u0443\u0437\u0435\u0440\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441, \u0433\u0434\u0435 \u044f\u0447\u0435\u0439\u043a\u0438 \u043a\u043e\u0434\u0430 \u0447\u0435\u0440\u0435\u0434\u0443\u044e\u0442\u0441\u044f \u0441 \u0442\u0435\u043a\u0441\u0442\u043e\u043c \u0438 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0430\u043c\u0438. \u041d\u0430\u0447\u0438\u043d\u0430\u044f \u0441 \u0432\u0435\u0440\u0441\u0438\u0438 7 \u043e\u043d \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d \u043d\u0430 \u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u0430\u0445 JupyterLab.<\/li>\n<li><strong>JupyterLab<\/strong> &#8212; \u0440\u0430\u0441\u0448\u0438\u0440\u044f\u0435\u043c\u0430\u044f \u0441\u0440\u0435\u0434\u0430 \u043f\u043e\u0432\u0435\u0440\u0445 \u0442\u0435\u0445 \u0436\u0435 \u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u043e\u0432: \u0432\u043a\u043b\u0430\u0434\u043a\u0438, \u043f\u0430\u043d\u0435\u043b\u0438, \u0442\u0435\u0440\u043c\u0438\u043d\u0430\u043b \u0438 \u0440\u0435\u0434\u0430\u043a\u0442\u043e\u0440 \u043a\u043e\u0434\u0430 \u0440\u044f\u0434\u043e\u043c \u0441 \u043d\u043e\u0443\u0442\u0431\u0443\u043a\u0430\u043c\u0438.<\/li>\n<\/ul>\n<p>\u041f\u0440\u043e\u0435\u043a\u0442 Jupyter \u0432\u044b\u0434\u0435\u043b\u0438\u043b\u0441\u044f \u0438\u0437 IPython \u0432 2014 \u0433\u043e\u0434\u0443, \u0430 \u0435\u0433\u043e \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0435 &#8212; \u044d\u0442\u043e \u043e\u0442\u0441\u044b\u043b\u043a\u0430 \u043a \u0442\u0440\u0435\u043c \u044f\u0437\u044b\u043a\u0430\u043c: Julia, Python \u0438 R. \u041e\u0442\u0441\u044e\u0434\u0430 \u0432\u0430\u0436\u043d\u044b\u0439 \u0444\u0430\u043a\u0442: Jupyter \u043d\u0435 \u043f\u0440\u0438\u0432\u044f\u0437\u0430\u043d \u043a Python. \u0417\u0430 \u044f\u0437\u044b\u043a \u043e\u0442\u0432\u0435\u0447\u0430\u0435\u0442 \u044f\u0434\u0440\u043e, \u0430 \u043d\u0435 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441.<\/p>\n<p>\u0414\u043b\u044f Python \u044f\u0434\u0440\u043e\u043c \u043f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e \u0441\u043b\u0443\u0436\u0438\u0442 IPython. \u0414\u043b\u044f \u0434\u0440\u0443\u0433\u0438\u0445 \u044f\u0437\u044b\u043a\u043e\u0432 \u0441\u0442\u0430\u0432\u044f\u0442 \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u044b\u0435 \u044f\u0434\u0440\u0430: <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">IRkernel<\/code> \u0434\u043b\u044f R, <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">IJulia<\/code> \u0434\u043b\u044f Julia \u0438 \u0434\u0435\u0441\u044f\u0442\u043a\u0438 \u043f\u0440\u043e\u0447\u0438\u0445. \u0412\u043d\u0443\u0442\u0440\u0438 \u043e\u0434\u043d\u043e\u0433\u043e Python-\u044f\u0434\u0440\u0430 \u043c\u043e\u0436\u043d\u043e \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0438 \u043a\u043e\u0434 \u043d\u0430 \u0434\u0440\u0443\u0433\u043e\u043c \u044f\u0437\u044b\u043a\u0435 \u0447\u0435\u0440\u0435\u0437 \u043c\u0430\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u043a\u043e\u043c\u0430\u043d\u0434\u044b \u044f\u0447\u0435\u0435\u043a (\u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">%%bash<\/code>), \u043d\u043e \u044d\u0442\u043e \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u044b\u0439 \u043c\u0435\u0445\u0430\u043d\u0438\u0437\u043c, \u0430 \u043d\u0435 \u043f\u043e\u043b\u043d\u043e\u0446\u0435\u043d\u043d\u0430\u044f \u0437\u0430\u043c\u0435\u043d\u0430 \u044f\u0434\u0440\u0430.<\/p>\n<h2 id=\"s2\">\u0423\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0430 \u0447\u0435\u0440\u0435\u0437 pip<\/h2>\n<p>\u0415\u0441\u043b\u0438 \u0445\u043e\u0447\u0435\u0442\u0441\u044f \u043f\u043e\u043b\u043d\u043e\u0441\u0442\u044c\u044e \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043e\u043a\u0440\u0443\u0436\u0435\u043d\u0438\u0435 \u043d\u0430 \u0441\u0432\u043e\u0435\u043c \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0435, \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442 \u0441\u0442\u0430\u0432\u044f\u0442 \u043b\u043e\u043a\u0430\u043b\u044c\u043d\u043e. \u0421\u0430\u043c\u044b\u0439 \u043f\u0440\u044f\u043c\u043e\u0439 \u0441\u043f\u043e\u0441\u043e\u0431 &#8212; \u043c\u0435\u043d\u0435\u0434\u0436\u0435\u0440 \u043f\u0430\u043a\u0435\u0442\u043e\u0432 pip. \u0414\u043b\u044f \u043f\u043e\u043b\u043d\u043e\u0446\u0435\u043d\u043d\u043e\u0439 \u0441\u0440\u0435\u0434\u044b \u043f\u043e\u0441\u0442\u0430\u0432\u044c\u0442\u0435 JupyterLab:<\/p>\n<pre style=\"background:#282c34;color:#abb2bf;border-radius:8px;padding:16px 20px;margin:20px 0;overflow-x:auto;font-size:14px;line-height:1.55;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\"><code style=\"background:none\">pip install jupyterlab\n<\/code><\/pre>\n<p>\u0415\u0441\u043b\u0438 \u043d\u0443\u0436\u0435\u043d \u0438\u043c\u0435\u043d\u043d\u043e \u043a\u043b\u0430\u0441\u0441\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441 \u043d\u043e\u0443\u0442\u0431\u0443\u043a\u0430, \u0441\u0442\u0430\u0432\u0438\u0442\u0441\u044f \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u044b\u0439 \u043f\u0430\u043a\u0435\u0442:<\/p>\n<pre style=\"background:#282c34;color:#abb2bf;border-radius:8px;padding:16px 20px;margin:20px 0;overflow-x:auto;font-size:14px;line-height:1.55;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\"><code style=\"background:none\">pip install notebook\n<\/code><\/pre>\n<p>\u041f\u0430\u043a\u0435\u0442 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">notebook<\/code> \u0432\u0435\u0440\u0441\u0438\u0438 7 \u0441\u0430\u043c \u043f\u043e\u0434\u0442\u044f\u0433\u0438\u0432\u0430\u0435\u0442 \u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u044b JupyterLab \u0438 Jupyter Server, \u0442\u0430\u043a \u0447\u0442\u043e \u043e\u0431\u0435 \u043a\u043e\u043c\u0430\u043d\u0434\u044b \u0434\u0430\u044e\u0442 \u0441\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441. \u0421\u0442\u0430\u0432\u0438\u0442\u044c \u043e\u0431\u0430 \u043f\u0430\u043a\u0435\u0442\u0430 \u043d\u0435 \u043e\u0431\u044f\u0437\u0430\u0442\u0435\u043b\u044c\u043d\u043e: <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">jupyterlab<\/code> \u0443\u0436\u0435 \u0432\u043a\u043b\u044e\u0447\u0430\u0435\u0442 \u0440\u0435\u0436\u0438\u043c \u043d\u043e\u0443\u0442\u0431\u0443\u043a\u0430.<\/p>\n<p>\u0423\u0434\u043e\u0431\u043d\u043e \u0443\u0441\u0442\u0430\u043d\u0430\u0432\u043b\u0438\u0432\u0430\u0442\u044c Jupyter \u043d\u0435 \u0432 \u043e\u0431\u0449\u0435\u0441\u0438\u0441\u0442\u0435\u043c\u043d\u044b\u0439 Python, \u0430 \u0432 \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u044c\u043d\u043e\u0435 \u043e\u043a\u0440\u0443\u0436\u0435\u043d\u0438\u0435 \u043f\u0440\u043e\u0435\u043a\u0442\u0430 (<code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">python -m venv .venv<\/code>), \u0447\u0442\u043e\u0431\u044b \u0432\u0435\u0440\u0441\u0438\u0438 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a \u043d\u0435 \u043a\u043e\u043d\u0444\u043b\u0438\u043a\u0442\u043e\u0432\u0430\u043b\u0438 \u043c\u0435\u0436\u0434\u0443 \u043f\u0440\u043e\u0435\u043a\u0442\u0430\u043c\u0438.<\/p>\n<h2 id=\"s3\">\u0423\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0430 \u0447\u0435\u0440\u0435\u0437 Anaconda<\/h2>\n<p>Anaconda &#8212; \u044d\u0442\u043e \u0434\u0438\u0441\u0442\u0440\u0438\u0431\u0443\u0442\u0438\u0432 Python \u0441 \u043f\u0440\u0435\u0434\u043d\u0430\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u044b\u043c \u043d\u0430\u0431\u043e\u0440\u043e\u043c \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u0438 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f. \u0412 \u043d\u0435\u043c Jupyter \u0443\u0436\u0435 \u0432\u043a\u043b\u044e\u0447\u0435\u043d, \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u043e \u0441\u0442\u0430\u0432\u0438\u0442\u044c \u043d\u0438\u0447\u0435\u0433\u043e \u043d\u0435 \u043d\u0443\u0436\u043d\u043e.<\/p>\n<p>\u041f\u043e\u0440\u044f\u0434\u043e\u043a \u0442\u0430\u043a\u043e\u0439:<\/p>\n<ol>\n<li>\u0421\u043a\u0430\u0447\u0430\u0442\u044c \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0449\u0438\u043a Anaconda \u0441 \u043e\u0444\u0438\u0446\u0438\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0441\u0430\u0439\u0442\u0430 \u043f\u043e\u0434 \u0441\u0432\u043e\u044e \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u043e\u043d\u043d\u0443\u044e \u0441\u0438\u0441\u0442\u0435\u043c\u0443.<\/li>\n<li>\u0417\u0430\u043f\u0443\u0441\u0442\u0438\u0442\u044c \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0449\u0438\u043a \u0438 \u043f\u0440\u043e\u0439\u0442\u0438 \u0448\u0430\u0433\u0438 \u043c\u0430\u0441\u0442\u0435\u0440\u0430.<\/li>\n<li>\u041f\u043e\u0441\u043b\u0435 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0438 \u043e\u0442\u043a\u0440\u044b\u0442\u044c Anaconda Navigator &#8212; \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0443\u044e \u043f\u0430\u043d\u0435\u043b\u044c \u0441\u043e \u0441\u043f\u0438\u0441\u043a\u043e\u043c \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u043e\u0432.<\/li>\n<li>\u0412 \u043f\u0430\u043d\u0435\u043b\u0438 \u043d\u0430\u0439\u0442\u0438 JupyterLab \u0438\u043b\u0438 Jupyter Notebook \u0438 \u043d\u0430\u0436\u0430\u0442\u044c Launch.<\/li>\n<\/ol>\n<p>Anaconda \u0443\u0434\u043e\u0431\u043d\u0430 \u043d\u043e\u0432\u0438\u0447\u043a\u0443, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043d\u0435 \u0445\u043e\u0447\u0435\u0442 \u0432\u0440\u0443\u0447\u043d\u0443\u044e \u0441\u043e\u0431\u0438\u0440\u0430\u0442\u044c \u043e\u043a\u0440\u0443\u0436\u0435\u043d\u0438\u0435: \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 \u0432\u0440\u043e\u0434\u0435 NumPy, pandas \u0438 Matplotlib \u0443\u0436\u0435 \u043d\u0430 \u043c\u0435\u0441\u0442\u0435. \u041c\u0438\u043d\u0443\u0441 &#8212; \u0431\u043e\u043b\u044c\u0448\u043e\u0439 \u043e\u0431\u044a\u0435\u043c \u043d\u0430 \u0434\u0438\u0441\u043a\u0435. \u0415\u0441\u043b\u0438 \u043d\u0443\u0436\u0435\u043d \u0442\u043e\u043b\u044c\u043a\u043e Jupyter \u0438 \u043f\u0430\u0440\u0430 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a, \u0432\u0430\u0440\u0438\u0430\u043d\u0442 \u0441 pip \u0438 \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u043c \u043e\u043a\u0440\u0443\u0436\u0435\u043d\u0438\u0435\u043c \u043b\u0435\u0433\u0447\u0435. \u0414\u043b\u044f \u043a\u043e\u043c\u043f\u0430\u043a\u0442\u043d\u043e\u0439 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0438 \u0442\u043e\u0433\u043e \u0436\u0435 \u044d\u043a\u043e\u0441\u0438\u0441\u0442\u0435\u043c\u043d\u043e\u0433\u043e \u043c\u0435\u043d\u0435\u0434\u0436\u0435\u0440\u0430 \u043f\u043e\u0434\u043e\u0439\u0434\u0435\u0442 Miniconda.<\/p>\n<h2 id=\"s4\">\u0417\u0430\u043f\u0443\u0441\u043a<\/h2>\n<p>\u041f\u043e\u0441\u043b\u0435 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0438 \u0447\u0435\u0440\u0435\u0437 pip \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441 \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u044e\u0442 \u0438\u0437 \u0442\u0435\u0440\u043c\u0438\u043d\u0430\u043b\u0430 \u043e\u0434\u043d\u043e\u0439 \u043a\u043e\u043c\u0430\u043d\u0434\u043e\u0439. \u0414\u043b\u044f JupyterLab:<\/p>\n<pre style=\"background:#282c34;color:#abb2bf;border-radius:8px;padding:16px 20px;margin:20px 0;overflow-x:auto;font-size:14px;line-height:1.55;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\"><code style=\"background:none\">jupyter lab\n<\/code><\/pre>\n<p>\u0414\u043b\u044f \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441\u0430 \u043d\u043e\u0443\u0442\u0431\u0443\u043a\u0430:<\/p>\n<pre style=\"background:#282c34;color:#abb2bf;border-radius:8px;padding:16px 20px;margin:20px 0;overflow-x:auto;font-size:14px;line-height:1.55;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\"><code style=\"background:none\">jupyter notebook\n<\/code><\/pre>\n<p>\u041a\u043e\u043c\u0430\u043d\u0434\u0430 \u043f\u043e\u0434\u043d\u0438\u043c\u0430\u0435\u0442 \u043b\u043e\u043a\u0430\u043b\u044c\u043d\u044b\u0439 \u0432\u0435\u0431-\u0441\u0435\u0440\u0432\u0435\u0440 \u0438 \u043e\u0442\u043a\u0440\u044b\u0432\u0430\u0435\u0442 \u0431\u0440\u0430\u0443\u0437\u0435\u0440 \u043f\u043e \u0430\u0434\u0440\u0435\u0441\u0443 \u0432\u0440\u043e\u0434\u0435 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">http:\/\/localhost:8888<\/code>. \u0422\u0435\u0440\u043c\u0438\u043d\u0430\u043b \u043f\u0440\u0438 \u044d\u0442\u043e\u043c \u043e\u0441\u0442\u0430\u0435\u0442\u0441\u044f \u0437\u0430\u043d\u044f\u0442\u044b\u043c: \u043f\u043e\u043a\u0430 \u0441\u0435\u0440\u0432\u0435\u0440 \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442, \u043e\u043a\u043d\u043e \u0437\u0430\u043a\u0440\u044b\u0432\u0430\u0442\u044c \u043d\u0435\u043b\u044c\u0437\u044f. \u0427\u0442\u043e\u0431\u044b \u043e\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c \u0441\u0435\u0440\u0432\u0435\u0440, \u0432\u0435\u0440\u043d\u0438\u0442\u0435\u0441\u044c \u0432 \u0442\u0435\u0440\u043c\u0438\u043d\u0430\u043b \u0438 \u043d\u0430\u0436\u043c\u0438\u0442\u0435 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">Ctrl+C<\/code>.<\/p>\n<p>\u041f\u0440\u0438 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0435 \u0447\u0435\u0440\u0435\u0437 Anaconda \u0442\u043e \u0436\u0435 \u0441\u0430\u043c\u043e\u0435 \u0434\u0435\u043b\u0430\u0435\u0442\u0441\u044f \u043a\u043d\u043e\u043f\u043a\u043e\u0439 Launch \u0432 Anaconda Navigator &#8212; \u0431\u0435\u0437 \u0440\u0443\u0447\u043d\u043e\u0433\u043e \u0432\u0432\u043e\u0434\u0430 \u043a\u043e\u043c\u0430\u043d\u0434.<\/p>\n<p>\u041e\u0442\u0434\u0435\u043b\u044c\u043d\u043e \u043e\u0442 \u043b\u043e\u043a\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0437\u0430\u043f\u0443\u0441\u043a\u0430 \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u044e\u0442 \u043e\u0431\u043b\u0430\u0447\u043d\u044b\u0435 \u0441\u0435\u0440\u0432\u0438\u0441\u044b, \u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440 Google Colab: \u0442\u0430\u043c \u043d\u0438\u0447\u0435\u0433\u043e \u0443\u0441\u0442\u0430\u043d\u0430\u0432\u043b\u0438\u0432\u0430\u0442\u044c \u043d\u0435 \u043d\u0443\u0436\u043d\u043e, \u043d\u043e\u0443\u0442\u0431\u0443\u043a \u043e\u0442\u043a\u0440\u044b\u0432\u0430\u0435\u0442\u0441\u044f \u0432 \u0431\u0440\u0430\u0443\u0437\u0435\u0440\u0435, \u0430 \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u044f \u0438\u0434\u0443\u0442 \u043d\u0430 \u0447\u0443\u0436\u0438\u0445 \u0441\u0435\u0440\u0432\u0435\u0440\u0430\u0445. \u041f\u043b\u0430\u0442\u0430 \u0437\u0430 \u0443\u0434\u043e\u0431\u0441\u0442\u0432\u043e &#8212; \u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e\u0441\u0442\u044c \u043e\u0442 \u0441\u0435\u0442\u0438 \u0438 \u043e\u0433\u0440\u0430\u043d\u0438\u0447\u0435\u043d\u0438\u044f \u043d\u0430 \u0440\u0435\u0441\u0443\u0440\u0441\u044b \u0438 \u0432\u0440\u0435\u043c\u044f \u0441\u0435\u0441\u0441\u0438\u0438.<\/p>\n<h2 id=\"s5\">\u042f\u0447\u0435\u0439\u043a\u0438 \u0438 \u044f\u0434\u0440\u043e<\/h2>\n<p>\u041d\u043e\u0443\u0442\u0431\u0443\u043a \u0441\u043e\u0441\u0442\u043e\u0438\u0442 \u0438\u0437 \u044f\u0447\u0435\u0435\u043a. \u0415\u0441\u0442\u044c \u0434\u0432\u0430 \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u0445 \u0442\u0438\u043f\u0430: \u044f\u0447\u0435\u0439\u043a\u0430 \u043a\u043e\u0434\u0430 (\u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442\u0441\u044f \u044f\u0434\u0440\u043e\u043c) \u0438 \u044f\u0447\u0435\u0439\u043a\u0430 Markdown (\u0442\u0435\u043a\u0441\u0442, \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0438, \u0444\u043e\u0440\u043c\u0443\u043b\u044b, \u0441\u0441\u044b\u043b\u043a\u0438 &#8212; \u0434\u043b\u044f \u043f\u043e\u044f\u0441\u043d\u0435\u043d\u0438\u0439). \u0422\u0438\u043f \u043f\u0435\u0440\u0435\u043a\u043b\u044e\u0447\u0430\u0435\u0442\u0441\u044f \u0432 \u043f\u0430\u043d\u0435\u043b\u0438 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u043e\u0432 \u0438\u043b\u0438 \u0433\u043e\u0440\u044f\u0447\u0438\u043c\u0438 \u043a\u043b\u0430\u0432\u0438\u0448\u0430\u043c\u0438.<\/p>\n<p>\u041c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u044b\u0439 \u043f\u0440\u0438\u043c\u0435\u0440: \u043d\u0430\u0431\u0435\u0440\u0438\u0442\u0435 \u0432 \u044f\u0447\u0435\u0439\u043a\u0435 \u043a\u043e\u0434\u0430 \u0432\u044b\u0440\u0430\u0436\u0435\u043d\u0438\u0435 \u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u0435 \u0435\u0435.<\/p>\n<pre style=\"background:#282c34;color:#abb2bf;border-radius:8px;padding:16px 20px;margin:20px 0;overflow-x:auto;font-size:14px;line-height:1.55;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\"><code style=\"background:none\"><span style=\"color: #E06C75\">data<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #ABB2BF\">[<\/span><span style=\"color: #D19A66\">4<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #D19A66\">8<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #D19A66\">15<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #D19A66\">16<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #D19A66\">23<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #D19A66\">42<\/span><span style=\"color: #ABB2BF\">]<\/span>\n<span style=\"color: #E06C75\">average<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #E5C07B\">sum<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">data<\/span><span style=\"color: #ABB2BF\">)<\/span> <span style=\"color: #56B6C2\">\/<\/span> <span style=\"color: #E5C07B\">len<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">data<\/span><span style=\"color: #ABB2BF\">)<\/span>\n<span style=\"color: #E5C07B\">print<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">average<\/span><span style=\"color: #ABB2BF\">)<\/span>   <span style=\"color: #7F848E\"># 18.0<\/span><\/code><\/pre>\n<p>\u0417\u0430\u043f\u0443\u0441\u0442\u0438\u0442\u044c \u044f\u0447\u0435\u0439\u043a\u0443 \u043c\u043e\u0436\u043d\u043e \u0442\u0440\u0435\u043c\u044f \u0441\u043f\u043e\u0441\u043e\u0431\u0430\u043c\u0438:<\/p>\n<ul>\n<li><code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">Shift+Enter<\/code> &#8212; \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0438 \u043f\u0435\u0440\u0435\u0439\u0442\u0438 \u043a \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u0439 \u044f\u0447\u0435\u0439\u043a\u0435;<\/li>\n<li><code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">Ctrl+Enter<\/code> &#8212; \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0438 \u043e\u0441\u0442\u0430\u0442\u044c\u0441\u044f \u0432 \u0442\u0435\u043a\u0443\u0449\u0435\u0439;<\/li>\n<li><code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">Alt+Enter<\/code> &#8212; \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0438 \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u044c \u043d\u043e\u0432\u0443\u044e \u044f\u0447\u0435\u0439\u043a\u0443 \u043d\u0438\u0436\u0435.<\/li>\n<\/ul>\n<p>\u042f\u0434\u0440\u043e \u0445\u0440\u0430\u043d\u0438\u0442 \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435 \u043c\u0435\u0436\u0434\u0443 \u044f\u0447\u0435\u0439\u043a\u0430\u043c\u0438. \u041f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u0443\u044e, \u0437\u0430\u0434\u0430\u043d\u043d\u0443\u044e \u0432 \u043e\u0434\u043d\u043e\u0439 \u044f\u0447\u0435\u0439\u043a\u0435, \u0432\u0438\u0434\u043d\u043e \u0432 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445:<\/p>\n<pre style=\"background:#282c34;color:#abb2bf;border-radius:8px;padding:16px 20px;margin:20px 0;overflow-x:auto;font-size:14px;line-height:1.55;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\"><code style=\"background:none\"><span style=\"color: #E06C75\">x<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #D19A66\">10<\/span>\n<span style=\"color: #E06C75\">y<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #E06C75\">x<\/span> <span style=\"color: #56B6C2\">*<\/span> <span style=\"color: #D19A66\">3<\/span>\n<span style=\"color: #E5C07B\">print<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">y<\/span><span style=\"color: #ABB2BF\">)<\/span>   <span style=\"color: #7F848E\"># 30<\/span><\/code><\/pre>\n<p>\u0417\u0434\u0435\u0441\u044c \u0435\u0441\u0442\u044c \u043f\u043e\u0434\u0432\u043e\u0445. \u042f\u0447\u0435\u0439\u043a\u0438 \u043c\u043e\u0436\u043d\u043e \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u0442\u044c \u0432 \u043b\u044e\u0431\u043e\u043c \u043f\u043e\u0440\u044f\u0434\u043a\u0435, \u0438 \u0441\u043b\u0435\u0432\u0430 \u043e\u0442 \u043a\u0430\u0436\u0434\u043e\u0439 \u0441\u0442\u043e\u0438\u0442 \u0441\u0447\u0435\u0442\u0447\u0438\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f &#8212; <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">[1]<\/code>, <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">[2]<\/code> \u0438 \u0442\u0430\u043a \u0434\u0430\u043b\u0435\u0435. \u0415\u0441\u043b\u0438 \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u0442\u044c \u044f\u0447\u0435\u0439\u043a\u0438 \u0432\u0440\u0430\u0437\u043d\u043e\u0431\u043e\u0439, \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435 \u044f\u0434\u0440\u0430 \u043f\u0435\u0440\u0435\u0441\u0442\u0430\u0435\u0442 \u0441\u043e\u0432\u043f\u0430\u0434\u0430\u0442\u044c \u0441 \u0442\u0435\u043c, \u0447\u0442\u043e \u0432\u0438\u0434\u043d\u043e \u043d\u0430 \u044d\u043a\u0440\u0430\u043d\u0435. \u0427\u0442\u043e\u0431\u044b \u0443\u0431\u0435\u0434\u0438\u0442\u044c\u0441\u044f, \u0447\u0442\u043e \u043d\u043e\u0443\u0442\u0431\u0443\u043a \u0432\u043e\u0441\u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0441\u044f \u0441 \u0447\u0438\u0441\u0442\u043e\u0433\u043e \u043b\u0438\u0441\u0442\u0430, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0442 \u043c\u0435\u043d\u044e Kernel -&gt; Restart Kernel and Run All Cells: \u043e\u043d\u043e \u0441\u0431\u0440\u0430\u0441\u044b\u0432\u0430\u0435\u0442 \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435 \u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442 \u0432\u0441\u0435 \u0441\u0432\u0435\u0440\u0445\u0443 \u0432\u043d\u0438\u0437.<\/p>\n<p>\u0422\u0430\u043c \u0436\u0435, \u0432 \u043c\u0435\u043d\u044e Kernel, \u043b\u0435\u0436\u0430\u0442 \u0434\u0440\u0443\u0433\u0438\u0435 \u043f\u043e\u043b\u0435\u0437\u043d\u044b\u0435 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438: Interrupt (\u043f\u0440\u0435\u0440\u0432\u0430\u0442\u044c \u0437\u0430\u0432\u0438\u0441\u0448\u0443\u044e \u0438\u043b\u0438 \u0441\u043b\u0438\u0448\u043a\u043e\u043c \u0434\u043e\u043b\u0433\u0443\u044e \u044f\u0447\u0435\u0439\u043a\u0443) \u0438 Restart (\u043f\u0435\u0440\u0435\u0437\u0430\u043f\u0443\u0441\u0442\u0438\u0442\u044c \u044f\u0434\u0440\u043e, \u043e\u0447\u0438\u0441\u0442\u0438\u0432 \u0432\u0441\u0435 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0435).<\/p>\n<h2 id=\"s6\">\u041c\u0430\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u043a\u043e\u043c\u0430\u043d\u0434\u044b<\/h2>\n<p>\u041c\u0430\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u043a\u043e\u043c\u0430\u043d\u0434\u044b (magics) &#8212; \u044d\u0442\u043e \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0435 \u043a\u043e\u043c\u0430\u043d\u0434\u044b IPython, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0440\u0430\u0441\u0448\u0438\u0440\u044f\u044e\u0442 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438 \u044f\u0447\u0435\u0439\u043a\u0438. \u041e\u043d\u0438 \u0431\u044b\u0432\u0430\u044e\u0442 \u0434\u0432\u0443\u0445 \u0432\u0438\u0434\u043e\u0432:<\/p>\n<ul>\n<li>\u0441\u0442\u0440\u043e\u0447\u043d\u044b\u0435 (line magics) \u043d\u0430\u0447\u0438\u043d\u0430\u044e\u0442\u0441\u044f \u0441 \u043e\u0434\u043d\u043e\u0433\u043e <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">%<\/code> \u0438 \u0434\u0435\u0439\u0441\u0442\u0432\u0443\u044e\u0442 \u043d\u0430 \u043e\u0434\u043d\u0443 \u0441\u0442\u0440\u043e\u043a\u0443;<\/li>\n<li>\u044f\u0447\u0435\u0435\u0447\u043d\u044b\u0435 (cell magics) \u043d\u0430\u0447\u0438\u043d\u0430\u044e\u0442\u0441\u044f \u0441 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">%%<\/code> \u0438 \u0434\u0435\u0439\u0441\u0442\u0432\u0443\u044e\u0442 \u043d\u0430 \u0432\u0441\u044e \u044f\u0447\u0435\u0439\u043a\u0443.<\/li>\n<\/ul>\n<p>\u041d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0447\u0430\u0441\u0442\u044b\u0445 \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u0432 (\u044d\u0442\u043e \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u043c\u043e\u0435 \u044f\u0447\u0435\u0435\u043a \u043d\u043e\u0443\u0442\u0431\u0443\u043a\u0430, \u0430 \u043d\u0435 \u043e\u0431\u044b\u0447\u043d\u044b\u0439 \u0441\u043a\u0440\u0438\u043f\u0442 Python):<\/p>\n<pre style=\"background:#282c34;color:#abb2bf;border-radius:8px;padding:16px 20px;margin:20px 0;overflow-x:auto;font-size:14px;line-height:1.55;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\"><code style=\"background:none\">%timeit sum(range(1000))\n# 7.5 \u00b5s \u00b1 0.2 \u00b5s per loop - \u0443 \u0432\u0430\u0441 \u0447\u0438\u0441\u043b\u0430 \u0431\u0443\u0434\u0443\u0442 \u0441\u0432\u043e\u0438\n\n%run script.py     # \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0432\u043d\u0435\u0448\u043d\u0438\u0439 \u0444\u0430\u0439\u043b .py \u0432 \u0442\u0435\u043a\u0443\u0449\u0435\u043c \u044f\u0434\u0440\u0435\n%who               # \u043f\u043e\u043a\u0430\u0437\u0430\u0442\u044c \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0451\u043d\u043d\u044b\u0435 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0435\n%lsmagic           # \u0441\u043f\u0438\u0441\u043e\u043a \u0432\u0441\u0435\u0445 \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u044b\u0445 \u043c\u0430\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u043a\u043e\u043c\u0430\u043d\u0434\n<\/code><\/pre>\n<p>\u042f\u0447\u0435\u0435\u0447\u043d\u0430\u044f \u043c\u0430\u0433\u0438\u044f <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">%%bash<\/code> \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u043c\u043e\u0435 \u044f\u0447\u0435\u0439\u043a\u0438 \u043a\u0430\u043a \u043a\u043e\u043c\u0430\u043d\u0434\u044b \u043e\u0431\u043e\u043b\u043e\u0447\u043a\u0438, \u0430 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">%%writefile<\/code> \u0441\u043e\u0445\u0440\u0430\u043d\u044f\u0435\u0442 \u044f\u0447\u0435\u0439\u043a\u0443 \u0432 \u0444\u0430\u0439\u043b:<\/p>\n<pre style=\"background:#282c34;color:#abb2bf;border-radius:8px;padding:16px 20px;margin:20px 0;overflow-x:auto;font-size:14px;line-height:1.55;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\"><code style=\"background:none\">%%writefile hello.py\nprint(&quot;\u041f\u0440\u0438\u0432\u0435\u0442 \u0438\u0437 \u0444\u0430\u0439\u043b\u0430&quot;)\n<\/code><\/pre>\n<p>\u0414\u043b\u044f \u0433\u0440\u0430\u0444\u0438\u043a\u043e\u0432 \u0432 \u0441\u0442\u0430\u0440\u044b\u0445 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u0445 \u0447\u0430\u0441\u0442\u043e \u0432\u0441\u0442\u0440\u0435\u0447\u0430\u0435\u0442\u0441\u044f <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">%matplotlib inline<\/code> &#8212; \u043e\u043d\u0430 \u0432\u0441\u0442\u0440\u0430\u0438\u0432\u0430\u0435\u0442 \u043a\u0430\u0440\u0442\u0438\u043d\u043a\u0438 Matplotlib \u043f\u0440\u044f\u043c\u043e \u043f\u043e\u0434 \u044f\u0447\u0435\u0439\u043a\u043e\u0439. \u0412 \u0441\u0432\u0435\u0436\u0438\u0445 \u0432\u0435\u0440\u0441\u0438\u044f\u0445 JupyterLab \u0438 Notebook 7 \u0432\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u044b\u0439 \u0432\u044b\u0432\u043e\u0434 \u0433\u0440\u0430\u0444\u0438\u043a\u043e\u0432 \u043e\u0431\u044b\u0447\u043d\u043e \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442 \u0438 \u0431\u0435\u0437 \u044d\u0442\u043e\u0439 \u0441\u0442\u0440\u043e\u043a\u0438, \u043d\u043e \u043e\u043d\u0430 \u043f\u043e-\u043f\u0440\u0435\u0436\u043d\u0435\u043c\u0443 \u043d\u0435 \u043c\u0435\u0448\u0430\u0435\u0442.<\/p>\n<p>\u041f\u043e\u043b\u043d\u044b\u0439 \u0441\u043f\u0438\u0441\u043e\u043a \u043a\u043e\u043c\u0430\u043d\u0434 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u043e\u0439 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0438 \u0432\u0441\u0435\u0433\u0434\u0430 \u0434\u0430\u0435\u0442 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">%lsmagic<\/code> &#8212; \u0438\u043c \u0443\u0434\u043e\u0431\u043d\u043e \u043f\u0440\u043e\u0432\u0435\u0440\u044f\u0442\u044c, \u0447\u0442\u043e \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u043e \u0438\u043c\u0435\u043d\u043d\u043e \u0443 \u0432\u0430\u0441.<\/p>\n<h2 id=\"s7\">\u0427\u0435\u043c \u043e\u0442\u043b\u0438\u0447\u0430\u044e\u0442\u0441\u044f Notebook \u0438 JupyterLab<\/h2>\n<p>\u041e\u0431\u0430 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441\u0430 \u043e\u0442\u043a\u0440\u044b\u0432\u0430\u044e\u0442 \u043e\u0434\u043d\u0438 \u0438 \u0442\u0435 \u0436\u0435 \u0444\u0430\u0439\u043b\u044b <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">.ipynb<\/code> \u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0442 \u043e\u0434\u043d\u043e \u044f\u0434\u0440\u043e, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u043f\u0435\u0440\u0435\u043d\u043e\u0441\u0438\u0442\u044c \u0440\u0430\u0431\u043e\u0442\u0443 \u043c\u0435\u0436\u0434\u0443 \u043d\u0438\u043c\u0438 \u043c\u043e\u0436\u043d\u043e \u0441\u0432\u043e\u0431\u043e\u0434\u043d\u043e. \u0420\u0430\u0437\u043d\u0438\u0446\u0430 &#8212; \u0432 \u043e\u0440\u0433\u0430\u043d\u0438\u0437\u0430\u0446\u0438\u0438 \u0440\u0430\u0431\u043e\u0447\u0435\u0433\u043e \u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0441\u0442\u0432\u0430.<\/p>\n<table>\n<thead>\n<tr>\n<th>\u041f\u0440\u0438\u0437\u043d\u0430\u043a<\/th>\n<th>Jupyter Notebook 7<\/th>\n<th>JupyterLab 4<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u0420\u0430\u0431\u043e\u0447\u0435\u0435 \u043e\u043a\u043d\u043e<\/td>\n<td>\u043e\u0434\u0438\u043d \u043d\u043e\u0443\u0442\u0431\u0443\u043a \u043d\u0430 \u0432\u043a\u043b\u0430\u0434\u043a\u0443 \u0431\u0440\u0430\u0443\u0437\u0435\u0440\u0430<\/td>\n<td>\u0432\u043a\u043b\u0430\u0434\u043a\u0438 \u0438 \u043f\u0430\u043d\u0435\u043b\u0438 \u0432 \u043e\u0434\u043d\u043e\u043c \u043e\u043a\u043d\u0435<\/td>\n<\/tr>\n<tr>\n<td>\u0427\u0442\u043e \u043e\u0442\u043a\u0440\u044b\u0432\u0430\u0435\u0442<\/td>\n<td>\u043d\u043e\u0443\u0442\u0431\u0443\u043a\u0438 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">.ipynb<\/code><\/td>\n<td>\u043d\u043e\u0443\u0442\u0431\u0443\u043a\u0438, \u0442\u0435\u0440\u043c\u0438\u043d\u0430\u043b, \u0440\u0435\u0434\u0430\u043a\u0442\u043e\u0440 \u043a\u043e\u0434\u0430, \u043f\u0440\u043e\u0441\u043c\u043e\u0442\u0440 \u0444\u0430\u0439\u043b\u043e\u0432<\/td>\n<\/tr>\n<tr>\n<td>\u041a\u043e\u043c\u0443 \u0443\u0434\u043e\u0431\u043d\u0435\u0435<\/td>\n<td>\u043b\u0438\u043d\u0435\u0439\u043d\u044b\u0439 \u0441\u0446\u0435\u043d\u0430\u0440\u0438\u0439, \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435, \u0431\u044b\u0441\u0442\u0440\u044b\u0439 \u0440\u0430\u0437\u0431\u043e\u0440<\/td>\n<td>\u043f\u0440\u043e\u0435\u043a\u0442\u044b \u0438\u0437 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u0445 \u0444\u0430\u0439\u043b\u043e\u0432, \u0440\u0430\u0431\u043e\u0442\u0430 \u0440\u044f\u0434\u043e\u043c \u0441 \u0442\u0435\u0440\u043c\u0438\u043d\u0430\u043b\u043e\u043c<\/td>\n<\/tr>\n<tr>\n<td>\u041e\u0431\u0449\u0430\u044f \u043e\u0441\u043d\u043e\u0432\u0430<\/td>\n<td>\u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u044b JupyterLab + Jupyter Server<\/td>\n<td>\u0442\u0435 \u0436\u0435 \u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u044b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u041f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0432\u044b\u0432\u043e\u0434 \u043f\u0440\u043e\u0441\u0442\u043e\u0439: \u0434\u043b\u044f \u043f\u0435\u0440\u0432\u043e\u0439 \u044f\u0447\u0435\u0439\u043a\u0438 \u0438 \u0443\u0447\u0435\u0431\u043d\u044b\u0445 \u0437\u0430\u0434\u0430\u0447 \u0434\u043e\u0441\u0442\u0430\u0442\u043e\u0447\u043d\u043e Notebook, \u0430 \u043a\u043e\u0433\u0434\u0430 \u043f\u0440\u043e\u0435\u043a\u0442 \u0440\u0430\u0437\u0440\u0430\u0441\u0442\u0430\u0435\u0442\u0441\u044f \u0434\u043e \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u0445 \u0444\u0430\u0439\u043b\u043e\u0432 \u0438 \u0445\u043e\u0447\u0435\u0442\u0441\u044f \u0442\u0435\u0440\u043c\u0438\u043d\u0430\u043b \u043f\u043e\u0434 \u0440\u0443\u043a\u043e\u0439 &#8212; \u043f\u0435\u0440\u0435\u0445\u043e\u0434\u044f\u0442 \u043d\u0430 JupyterLab. \u041a\u043b\u0430\u0441\u0441\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441 Notebook 6 \u0432 \u043d\u043e\u0432\u044b\u0445 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0430\u0445 \u043f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e \u043d\u0435 \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u0435\u0442\u0441\u044f, \u0440\u0430\u0437\u0432\u0438\u0442\u0438\u0435 \u0438\u0434\u0435\u0442 \u0432 Notebook 7 \u0438 Lab.<\/p>\n<h2 id=\"s8\">\u0413\u0434\u0435 \u044d\u0442\u043e \u043d\u0443\u0436\u043d\u043e \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435<\/h2>\n<p>Jupyter &#8212; \u0440\u0430\u0431\u043e\u0447\u0438\u0439 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442 \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u0438 \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u0430 \u043f\u043e \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u043c\u0443 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044e. \u0412 \u043d\u0435\u043c \u0443\u0434\u043e\u0431\u043d\u043e \u0437\u0430\u0433\u0440\u0443\u0437\u0438\u0442\u044c \u043d\u0430\u0431\u043e\u0440 \u0434\u0430\u043d\u043d\u044b\u0445, \u043f\u043e \u0448\u0430\u0433\u0430\u043c \u0435\u0433\u043e \u043e\u0447\u0438\u0441\u0442\u0438\u0442\u044c, \u043f\u043e\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0443, \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u0433\u0440\u0430\u0444\u0438\u043a \u0438 \u0442\u0443\u0442 \u0436\u0435 \u0443\u0432\u0438\u0434\u0435\u0442\u044c \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442, \u043d\u0435 \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u044f \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0443 \u0446\u0435\u043b\u0438\u043a\u043e\u043c. \u0422\u043e\u0442 \u0436\u0435 \u0444\u043e\u0440\u043c\u0430\u0442 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0442 \u0434\u043b\u044f \u0443\u0447\u0435\u0431\u043d\u044b\u0445 \u043c\u0430\u0442\u0435\u0440\u0438\u0430\u043b\u043e\u0432 \u0438 \u0432\u043e\u0441\u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u043c\u044b\u0445 \u043e\u0442\u0447\u0435\u0442\u043e\u0432: \u043a\u043e\u0434, \u043f\u043e\u044f\u0441\u043d\u0435\u043d\u0438\u044f \u0438 \u0432\u044b\u0432\u043e\u0434 \u043b\u0435\u0436\u0430\u0442 \u0432 \u043e\u0434\u043d\u043e\u043c \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0435.<\/p>\n<div class=\"oj-cta\" style=\"background:#fbf4e4;border-left:4px solid #c9962b;border-radius:8px;padding:16px 20px;margin:24px 0\">\n<p style=\"margin:0 0 8px\"><strong>\u041e\u0441\u0432\u043e\u0439\u0442\u0435 \u0442\u0435\u043c\u0443 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435<\/strong><\/p>\n<p>\u0427\u0442\u043e\u0431\u044b \u043e\u0441\u0432\u043e\u0438\u0442\u044c \u044d\u0442\u0438 \u0441\u0446\u0435\u043d\u0430\u0440\u0438\u0438 \u0441\u0438\u0441\u0442\u0435\u043c\u043d\u043e &#8212; \u043d\u0430 \u0440\u0435\u0430\u043b\u044c\u043d\u044b\u0445 \u0434\u0430\u043d\u043d\u044b\u0445, \u0441 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430\u043c\u0438 pandas \u0438 Matplotlib \u0438 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u043e\u0439 \u0432 \u043d\u043e\u0443\u0442\u0431\u0443\u043a\u0430\u0445 &#8212; \u043f\u043e\u0434\u043e\u0439\u0434\u0435\u0442 \u043a\u0443\u0440\u0441 <a href=\"https:\/\/otus.ru\/lessons\/python-dlja-analiza-dannyh\/?int_article=jupyternotebook-i-jupyterlab-opisanie-i-nachalo-raboty&amp;int_place=article&amp;int_variant=v1\">Python \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0434\u0430\u043d\u043d\u044b\u0445<\/a>. \u041f\u043e\u0441\u043c\u043e\u0442\u0440\u0435\u0442\u044c \u0444\u043e\u0440\u043c\u0430\u0442 \u0437\u0430\u043d\u044f\u0442\u0438\u0439 \u0438 \u0442\u0435\u043c\u044b \u0432\u0436\u0438\u0432\u0443\u044e \u043c\u043e\u0436\u043d\u043e \u043d\u0430 <a href=\"https:\/\/otus.ru\/events\/?int_article=jupyternotebook-i-jupyterlab-opisanie-i-nachalo-raboty&amp;int_place=article&amp;int_variant=v1\">\u043e\u0442\u043a\u0440\u044b\u0442\u044b\u0445 \u0443\u0440\u043e\u043a\u0430\u0445 Otus<\/a>.<\/p>\n<\/div>\n<p>\u0421\u043c\u0435\u0436\u043d\u044b\u0435 \u0442\u0435\u043c\u044b: <a href=\"https:\/\/otus.ru\/journal\/sluchajnye-chisla-v-pitone\/\">\u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u0435 \u0447\u0438\u0441\u043b\u0430 \u0432 Python<\/a>, <a href=\"https:\/\/otus.ru\/journal\/grafiki-issledovanie-postroenie-algoritm\/\">\u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u0435 \u0438 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0435 \u0433\u0440\u0430\u0444\u0438\u043a\u043e\u0432<\/a>.<\/p>\n<h2 id=\"s9\">FAQ<\/h2>\n<p><strong>\u041d\u0443\u0436\u0435\u043d \u043b\u0438 \u0438\u043d\u0442\u0435\u0440\u043d\u0435\u0442 \u0434\u043b\u044f \u0440\u0430\u0431\u043e\u0442\u044b \u0432 Jupyter?<\/strong><br \/>\n\u041b\u043e\u043a\u0430\u043b\u044c\u043d\u043e \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043b\u0435\u043d\u043d\u044b\u0439 Jupyter (\u0447\u0435\u0440\u0435\u0437 pip \u0438\u043b\u0438 Anaconda) \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442 \u043e\u0444\u043b\u0430\u0439\u043d: \u0441\u0435\u0440\u0432\u0435\u0440 \u0438 \u0431\u0440\u0430\u0443\u0437\u0435\u0440 \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u044e\u0442\u0441\u044f \u043d\u0430 \u0432\u0430\u0448\u0435\u043c \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0435. \u0418\u043d\u0442\u0435\u0440\u043d\u0435\u0442 \u043d\u0443\u0436\u0435\u043d \u0442\u043e\u043b\u044c\u043a\u043e \u0434\u043b\u044f \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0438 \u043f\u0430\u043a\u0435\u0442\u043e\u0432 \u0438 \u0434\u043b\u044f \u043e\u0431\u043b\u0430\u0447\u043d\u044b\u0445 \u0441\u0435\u0440\u0432\u0438\u0441\u043e\u0432 \u0432\u0440\u043e\u0434\u0435 Google Colab, \u0433\u0434\u0435 \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u044f \u0438\u0434\u0443\u0442 \u043d\u0430 \u0443\u0434\u0430\u043b\u0435\u043d\u043d\u044b\u0445 \u0441\u0435\u0440\u0432\u0435\u0440\u0430\u0445.<\/p>\n<p><strong>\u0427\u0435\u043c \u0444\u0430\u0439\u043b <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">.ipynb<\/code> \u043e\u0442\u043b\u0438\u0447\u0430\u0435\u0442\u0441\u044f \u043e\u0442 \u043e\u0431\u044b\u0447\u043d\u043e\u0433\u043e <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">.py<\/code>?<\/strong><br \/>\n<code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">.ipynb<\/code> &#8212; \u044d\u0442\u043e \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442 \u0432 \u0444\u043e\u0440\u043c\u0430\u0442\u0435 JSON: \u0432 \u043d\u0435\u043c \u0445\u0440\u0430\u043d\u044f\u0442\u0441\u044f \u044f\u0447\u0435\u0439\u043a\u0438, \u0438\u0445 \u0432\u044b\u0432\u043e\u0434 \u0438 \u043c\u0435\u0442\u0430\u0434\u0430\u043d\u043d\u044b\u0435. <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">.py<\/code> &#8212; \u043f\u0440\u043e\u0441\u0442\u043e\u0439 \u0442\u0435\u043a\u0441\u0442\u043e\u0432\u044b\u0439 \u0444\u0430\u0439\u043b \u0442\u043e\u043b\u044c\u043a\u043e \u0441 \u043a\u043e\u0434\u043e\u043c. \u0414\u043b\u044f \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u044f \u0432\u0435\u0440\u0441\u0438\u0439 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">.py<\/code> \u0447\u0438\u0449\u0435, \u0430 \u043d\u043e\u0443\u0442\u0431\u0443\u043a \u043f\u0440\u0438 \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e\u0441\u0442\u0438 \u043a\u043e\u043d\u0432\u0435\u0440\u0442\u0438\u0440\u0443\u044e\u0442 \u043a\u043e\u043c\u0430\u043d\u0434\u043e\u0439 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">jupyter nbconvert<\/code>.<\/p>\n<p><strong>\u041c\u043e\u0436\u043d\u043e \u043b\u0438 \u0432\u0435\u0440\u043d\u0443\u0442\u044c \u0441\u0442\u0430\u0440\u044b\u0439 \u043a\u043b\u0430\u0441\u0441\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441 Notebook?<\/strong><br \/>\n\u041f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u0435\u0442\u0441\u044f Notebook 7 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 JupyterLab. \u041a\u043b\u0430\u0441\u0441\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441 \u0432\u0435\u0440\u0441\u0438\u0438 6 \u0434\u043e\u0441\u0442\u0443\u043f\u0435\u043d \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u044b\u043c \u043f\u0430\u043a\u0435\u0442\u043e\u043c <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">nbclassic<\/code>, \u043d\u043e \u043e\u043d \u0431\u043e\u043b\u044c\u0448\u0435 \u043d\u0435 \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u0435\u0442\u0441\u044f, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u0434\u043b\u044f \u043d\u043e\u0432\u044b\u0445 \u0437\u0430\u0434\u0430\u0447 \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0443\u044e\u0442 Notebook 7 \u0438\u043b\u0438 JupyterLab.<\/p>\n<h2 id=\"s10\">\u0412\u044b\u0432\u043e\u0434\u044b<\/h2>\n<p>Jupyter &#8212; \u044d\u0442\u043e \u0441\u0438\u0441\u0442\u0435\u043c\u0430 \u0438\u0437 \u0442\u0440\u0435\u0445 \u0443\u0440\u043e\u0432\u043d\u0435\u0439: \u044f\u0434\u0440\u043e IPython \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442 \u043a\u043e\u0434 \u0438 \u0445\u0440\u0430\u043d\u0438\u0442 \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435, \u0430 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441 Notebook \u0438\u043b\u0438 JupyterLab \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u044f\u0447\u0435\u0439\u043a\u0438 \u0438 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b. \u0423\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442 \u043c\u043e\u0436\u043d\u043e \u0447\u0435\u0440\u0435\u0437 pip (<code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">pip install jupyterlab<\/code>) \u0438\u043b\u0438 \u0434\u0438\u0441\u0442\u0440\u0438\u0431\u0443\u0442\u0438\u0432\u043e\u043c Anaconda, \u0430 \u0437\u0430\u043f\u0443\u0441\u0442\u0438\u0442\u044c &#8212; \u043a\u043e\u043c\u0430\u043d\u0434\u0430\u043c\u0438 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">jupyter lab<\/code> \u0438 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">jupyter notebook<\/code>. \u0420\u0430\u0431\u043e\u0442\u0430 \u0441\u0442\u0440\u043e\u0438\u0442\u0441\u044f \u043f\u043e \u044f\u0447\u0435\u0439\u043a\u0430\u043c: \u043a\u043e\u0434 \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e \u0447\u0430\u0441\u0442\u044f\u043c, \u044f\u0434\u0440\u043e \u0445\u0440\u0430\u043d\u0438\u0442 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0435 \u043c\u0435\u0436\u0434\u0443 \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u043c\u0438, \u0430 \u043c\u0430\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u043a\u043e\u043c\u0430\u043d\u0434\u044b IPython (<code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">%timeit<\/code>, <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">%run<\/code>, <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">%%bash<\/code>) \u0440\u0430\u0441\u0448\u0438\u0440\u044f\u044e\u0442 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438. 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JupyterLab &#8212; \u044d\u0442\u043e \u0431\u043e\u043b\u0435\u0435 \u0433\u0438\u0431\u043a\u0430\u044f \u0441\u0440\u0435\u0434\u0430 \u043f\u043e\u0432\u0435\u0440\u0445 \u0442\u0435\u0445 \u0436\u0435 \u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u043e\u0432: \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043d\u043e\u0443\u0442\u0431\u0443\u043a\u043e\u0432, \u0442\u0435\u0440\u043c\u0438\u043d\u0430\u043b, \u0440\u0435\u0434\u0430\u043a\u0442\u043e\u0440 \u0438 \u0444\u0430\u0439\u043b\u043e\u0432\u044b\u0439 \u043c\u0435\u043d\u0435\u0434\u0436\u0435\u0440 \u0432 \u043e\u0434\u043d\u043e\u043c \u043e\u043a\u043d\u0435 \u0441 \u0432\u043a\u043b\u0430\u0434\u043a\u0430\u043c\u0438. \u041e\u0431\u0430 \u0447\u0430\u0449\u0435 \u0432\u0441\u0435\u0433\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0442 \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0434\u0430\u043d\u043d\u044b\u0445, \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e [&hellip;]<\/p>\n","protected":false},"author":11,"featured_media":9345,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[65],"class_list":["post-9344","post","type-post","status-publish","format-standard","has-post-thumbnail","","category-polza","tag-programmirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0420\u0430\u0437\u0431\u0438\u0440\u0430\u0435\u043c, \u0447\u0435\u043c Jupyter Notebook \u043e\u0442\u043b\u0438\u0447\u0430\u0435\u0442\u0441\u044f \u043e\u0442 JupyterLab \u0438 IPython, \u043a\u0430\u043a \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c \u0438\u0445 \u0447\u0435\u0440\u0435\u0437 pip \u0438\u043b\u0438 Anaconda, \u0437\u0430\u043f\u0443\u0441\u0442\u0438\u0442\u044c, \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u0441 \u044f\u0447\u0435\u0439\u043a\u0430\u043c\u0438 \u0438 \u043c\u0430\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u043c\u0438 \u043a\u043e\u043c\u0430\u043d\u0434\u0430\u043c\u0438.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"A. 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