{"id":580,"date":"2026-09-23T09:00:00","date_gmt":"2026-09-23T09:00:00","guid":{"rendered":"https:\/\/otus.ru\/journal\/?p=580"},"modified":"2026-09-25T15:35:32","modified_gmt":"2026-09-25T15:35:32","slug":"10-bibliotek-dlya-python","status":"publish","type":"post","link":"https:\/\/otus.ru\/journal\/10-bibliotek-dlya-python\/","title":{"rendered":"10 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a Python: \u0434\u043b\u044f \u0447\u0435\u0433\u043e \u043d\u0443\u0436\u043d\u044b, \u043a\u0430\u043a \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c \u0438 \u0432\u044b\u0431\u0440\u0430\u0442\u044c"},"content":{"rendered":"<p><strong>\u0411\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430 Python<\/strong> &#8212; \u044d\u0442\u043e \u043d\u0430\u0431\u043e\u0440 \u0433\u043e\u0442\u043e\u0432\u043e\u0433\u043e \u043a\u043e\u0434\u0430 (\u043c\u043e\u0434\u0443\u043b\u0435\u0439), \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0432\u044b \u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0430\u0435\u0442\u0435 \u0447\u0435\u0440\u0435\u0437 <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\">import<\/code> \u0438 \u0432\u044b\u0437\u044b\u0432\u0430\u0435\u0442\u0435 \u0438\u0437 \u0441\u0432\u043e\u0435\u0439 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u044b, \u0447\u0442\u043e\u0431\u044b \u043d\u0435 \u043f\u0438\u0441\u0430\u0442\u044c \u0441 \u043d\u0443\u043b\u044f HTTP-\u0437\u0430\u043f\u0440\u043e\u0441\u044b, \u0440\u0430\u0437\u0431\u043e\u0440 \u0442\u0430\u0431\u043b\u0438\u0446 \u0438\u043b\u0438 \u0433\u0440\u0430\u0444\u0438\u043a\u0438. \u041d\u0438\u0436\u0435 &#8212; \u0434\u0435\u0441\u044f\u0442\u044c \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0447\u0430\u0449\u0435 \u0432\u0441\u0435\u0433\u043e \u0432\u0441\u0442\u0440\u0435\u0447\u0430\u044e\u0442\u0441\u044f \u0432 \u0432\u0430\u043a\u0430\u043d\u0441\u0438\u044f\u0445 \u0438 \u0443\u0447\u0435\u0431\u043d\u044b\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u0430\u0445, \u0442\u0430\u0431\u043b\u0438\u0446\u0430 \u00ab\u0437\u0430\u0434\u0430\u0447\u0430 &#8212; \u0447\u0442\u043e \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c &#8212; \u043a\u0430\u043a \u0438\u043c\u043f\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c\u00bb, \u043e\u0434\u0438\u043d \u0441\u043a\u0432\u043e\u0437\u043d\u043e\u0439 \u043f\u0440\u0438\u043c\u0435\u0440 \u043d\u0430 \u0447\u0435\u0442\u044b\u0440\u0435\u0445 \u0438\u0437 \u043d\u0438\u0445 \u0438 \u0440\u0430\u0437\u0431\u043e\u0440 \u0442\u0438\u043f\u043e\u0432\u044b\u0445 \u043e\u0448\u0438\u0431\u043e\u043a \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0438.<\/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\">\u0411\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430, \u043c\u043e\u0434\u0443\u043b\u044c, \u043f\u0430\u043a\u0435\u0442, \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a: \u0432 \u0447\u0435\u043c \u0440\u0430\u0437\u043d\u0438\u0446\u0430<\/a><\/li>\n<li><a href=\"#s2\">10 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a: \u0442\u0430\u0431\u043b\u0438\u0446\u0430 \u0437\u0430\u0434\u0430\u0447 \u0438 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0438<\/a><\/li>\n<li><a href=\"#s3\">\u041a\u0430\u043a \u0432\u044b\u0431\u0440\u0430\u0442\u044c \u043f\u043e\u0434 \u0437\u0430\u0434\u0430\u0447\u0443<\/a><\/li>\n<li><a href=\"#s4\">\u0423\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0430: \u0441\u043d\u0430\u0447\u0430\u043b\u0430 \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u044c\u043d\u043e\u0435 \u043e\u043a\u0440\u0443\u0436\u0435\u043d\u0438\u0435<\/a><\/li>\n<li><a href=\"#s5\">\u041f\u0440\u0438\u043c\u0435\u0440 1: requests &#8212; \u0437\u0430\u043f\u0440\u043e\u0441 \u043a API<\/a><\/li>\n<li><a href=\"#s6\">\u041f\u0440\u0438\u043c\u0435\u0440 2: HTML -&gt; \u0442\u0430\u0431\u043b\u0438\u0446\u0430 -&gt; \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0430 -&gt; \u0433\u0440\u0430\u0444\u0438\u043a<\/a><\/li>\n<li><a href=\"#s7\">\u041f\u0440\u0438\u043c\u0435\u0440 3: pytest \u043f\u0440\u043e\u0432\u0435\u0440\u044f\u0435\u0442 \u0444\u0443\u043d\u043a\u0446\u0438\u044e parse<\/a><\/li>\n<li><a href=\"#s8\">\u0422\u0438\u043f\u043e\u0432\u0430\u044f \u043e\u0448\u0438\u0431\u043a\u0430: \u0438\u043c\u044f \u0432 pip \u043d\u0435 \u0440\u0430\u0432\u043d\u043e \u0438\u043c\u0435\u043d\u0438 \u0432 import<\/a><\/li>\n<li><a href=\"#s9\">\u0415\u0441\u043b\u0438 \u043d\u0435 \u043f\u043e\u043b\u0443\u0447\u0438\u043b\u043e\u0441\u044c<\/a><\/li>\n<li><a href=\"#s10\">\u0411\u0435\u0437\u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u044c \u043f\u0440\u0438 \u0440\u0430\u0431\u043e\u0442\u0435 \u0441 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430\u043c\u0438<\/a><\/li>\n<li><a href=\"#s11\">\u0412\u044b\u0432\u043e\u0434\u044b<\/a><\/li>\n<li><a href=\"#s12\">\u0413\u0434\u0435 \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u0442\u0441\u044f \/ \u0441\u0432\u044f\u0437\u044c \u0441 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u043e\u0439<\/a><\/li>\n<li><a href=\"#s13\">FAQ<\/a><\/li>\n<\/ol>\n<\/div>\n<p>\u041f\u0440\u0438\u043c\u0435\u0440\u044b \u043f\u0440\u043e\u0432\u0435\u0440\u0435\u043d\u044b 23.09.2026 \u043d\u0430 Python 3.14.6 \u0432 \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u044c\u043d\u043e\u043c \u043e\u043a\u0440\u0443\u0436\u0435\u043d\u0438\u0438.<\/p>\n<h2 id=\"s1\">\u0411\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430, \u043c\u043e\u0434\u0443\u043b\u044c, \u043f\u0430\u043a\u0435\u0442, \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a: \u0432 \u0447\u0435\u043c \u0440\u0430\u0437\u043d\u0438\u0446\u0430<\/h2>\n<p>\u042d\u0442\u0438 \u0441\u043b\u043e\u0432\u0430 \u0447\u0430\u0441\u0442\u043e \u0441\u043c\u0435\u0448\u0438\u0432\u0430\u044e\u0442, \u0430 \u043e\u0442 \u043d\u0438\u0445 \u0437\u0430\u0432\u0438\u0441\u0438\u0442, \u0447\u0442\u043e \u043f\u0438\u0441\u0430\u0442\u044c \u0432 <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<\/code> \u0438 \u0447\u0442\u043e \u0432 <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\">import<\/code>.<\/p>\n<ul>\n<li><strong>\u041c\u043e\u0434\u0443\u043b\u044c<\/strong> &#8212; \u043e\u0434\u0438\u043d \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\">.py<\/code> \u0438\u043b\u0438 \u0441\u043a\u043e\u043c\u043f\u0438\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0435 \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u0438\u0435, \u043a\u043e\u0442\u043e\u0440\u043e\u0435 \u043c\u043e\u0436\u043d\u043e \u0438\u043c\u043f\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c.<\/li>\n<li><strong>\u041f\u0430\u043a\u0435\u0442<\/strong> \u0432 \u043a\u043e\u0434\u0435 &#8212; \u043a\u0430\u0442\u0430\u043b\u043e\u0433 \u0441 \u043c\u043e\u0434\u0443\u043b\u044f\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\">bs4<\/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\">sklearn<\/code>). <strong>\u041f\u0430\u043a\u0435\u0442 \u043d\u0430 PyPI<\/strong> (\u0434\u0438\u0441\u0442\u0440\u0438\u0431\u0443\u0442\u0438\u0432) &#8212; \u0442\u043e, \u0447\u0442\u043e \u0441\u043a\u0430\u0447\u0438\u0432\u0430\u0435\u0442 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\">beautifulsoup4<\/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\">scikit-learn<\/code>). \u0418\u043c\u0435\u043d\u0430 \u043c\u043e\u0433\u0443\u0442 \u043d\u0435 \u0441\u043e\u0432\u043f\u0430\u0434\u0430\u0442\u044c.<\/li>\n<li><strong>\u0411\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430<\/strong> &#8212; \u043d\u0430\u0431\u043e\u0440 \u043c\u043e\u0434\u0443\u043b\u0435\u0439 \u043f\u043e\u0434 \u0437\u0430\u0434\u0430\u0447\u0443; \u0432\u0430\u0448 \u043a\u043e\u0434 \u0441\u0430\u043c \u0440\u0435\u0448\u0430\u0435\u0442, \u043a\u043e\u0433\u0434\u0430 \u0435\u0435 \u0432\u044b\u0437\u0432\u0430\u0442\u044c.<\/li>\n<li><strong>\u0424\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a<\/strong> &#8212; \u043d\u0430\u043e\u0431\u043e\u0440\u043e\u0442, \u0441\u0430\u043c \u0432\u044b\u0437\u044b\u0432\u0430\u0435\u0442 \u0432\u0430\u0448 \u043a\u043e\u0434 \u043f\u043e \u0441\u0432\u043e\u0438\u043c \u043f\u0440\u0430\u0432\u0438\u043b\u0430\u043c (Django, FastAPI): \u0432\u044b \u043f\u0438\u0448\u0435\u0442\u0435 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u0438, \u0430 \u043e\u043d \u0440\u0435\u0448\u0430\u0435\u0442, \u043a\u043e\u0433\u0434\u0430 \u0438\u0445 \u0437\u0430\u043f\u0443\u0441\u0442\u0438\u0442\u044c.<\/li>\n<\/ul>\n<p>\u041e\u0442\u0434\u0435\u043b\u044c\u043d\u043e \u0441\u0442\u043e\u0438\u0442 <strong>\u0441\u0442\u0430\u043d\u0434\u0430\u0440\u0442\u043d\u0430\u044f \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430<\/strong> &#8212; \u043c\u043e\u0434\u0443\u043b\u0438, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0438\u0434\u0443\u0442 \u0432\u043c\u0435\u0441\u0442\u0435 \u0441 \u0438\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0430\u0442\u043e\u0440\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\">json<\/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\">sqlite3<\/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\">asyncio<\/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\">tkinter<\/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\">pathlib<\/code>. \u0418\u0445 \u043d\u0435 \u043d\u0443\u0436\u043d\u043e \u0441\u0442\u0430\u0432\u0438\u0442\u044c \u0447\u0435\u0440\u0435\u0437 pip. \u041f\u043e\u044d\u0442\u043e\u043c\u0443 \u0432 \u0441\u043f\u0438\u0441\u043e\u043a \u043d\u0438\u0436\u0435 \u043d\u0435 \u0432\u043e\u0448\u043b\u0438 asyncio \u0438 tkinter: \u043e\u043d\u0438 \u043f\u043e\u043b\u0435\u0437\u043d\u044b, \u043d\u043e \u0443\u0436\u0435 \u0435\u0441\u0442\u044c \u0443 \u0432\u0430\u0441 \u0432 Python (tkinter \u0432 \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0441\u0431\u043e\u0440\u043a\u0430\u0445 Linux \u0441\u0442\u0430\u0432\u0438\u0442\u0441\u044f \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u044b\u043c \u0441\u0438\u0441\u0442\u0435\u043c\u043d\u044b\u043c \u043f\u0430\u043a\u0435\u0442\u043e\u043c).<\/p>\n<h2 id=\"s2\">10 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a: \u0442\u0430\u0431\u043b\u0438\u0446\u0430 \u0437\u0430\u0434\u0430\u0447 \u0438 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0438<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u0411\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430<\/th>\n<th>\u0414\u043b\u044f \u0447\u0435\u0433\u043e<\/th>\n<th>pip install<\/th>\n<th>import<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>requests<\/td>\n<td>HTTP-\u0437\u0430\u043f\u0440\u043e\u0441\u044b \u043a \u0441\u0430\u0439\u0442\u0430\u043c \u0438 API<\/td>\n<td><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\">requests<\/code><\/td>\n<td><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\">import requests<\/code><\/td>\n<\/tr>\n<tr>\n<td>NumPy<\/td>\n<td>\u043c\u0430\u0441\u0441\u0438\u0432\u044b \u0438 \u0431\u044b\u0441\u0442\u0440\u044b\u0435 \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u044f<\/td>\n<td><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\">numpy<\/code><\/td>\n<td><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\">import numpy as np<\/code><\/td>\n<\/tr>\n<tr>\n<td>pandas<\/td>\n<td>\u0442\u0430\u0431\u043b\u0438\u0446\u044b, CSV \u0438 Excel, \u0433\u0440\u0443\u043f\u043f\u0438\u0440\u043e\u0432\u043a\u0438<\/td>\n<td><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\">pandas<\/code><\/td>\n<td><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\">import pandas as pd<\/code><\/td>\n<\/tr>\n<tr>\n<td>Matplotlib<\/td>\n<td>\u0433\u0440\u0430\u0444\u0438\u043a\u0438 \u0438 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u044b<\/td>\n<td><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<\/code><\/td>\n<td><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\">import matplotlib.pyplot as plt<\/code><\/td>\n<\/tr>\n<tr>\n<td>FastAPI<\/td>\n<td>\u0432\u0435\u0431-API \u0441 \u043f\u0440\u043e\u0432\u0435\u0440\u043a\u043e\u0439 \u0442\u0438\u043f\u043e\u0432<\/td>\n<td><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\">fastapi<\/code><\/td>\n<td><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\">from fastapi import FastAPI<\/code><\/td>\n<\/tr>\n<tr>\n<td>Django<\/td>\n<td>\u043f\u043e\u043b\u043d\u044b\u0439 \u0432\u0435\u0431-\u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a: ORM, \u0430\u0434\u043c\u0438\u043d\u043a\u0430, \u0448\u0430\u0431\u043b\u043e\u043d\u044b<\/td>\n<td><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\">django<\/code><\/td>\n<td><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\">import django<\/code><\/td>\n<\/tr>\n<tr>\n<td>pytest<\/td>\n<td>\u0430\u0432\u0442\u043e\u0442\u0435\u0441\u0442\u044b<\/td>\n<td><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\">pytest<\/code><\/td>\n<td>\u0437\u0430\u043f\u0443\u0441\u043a \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\">pytest<\/code><\/td>\n<\/tr>\n<tr>\n<td>SQLAlchemy<\/td>\n<td>\u0440\u0430\u0431\u043e\u0442\u0430 \u0441 \u0440\u0435\u043b\u044f\u0446\u0438\u043e\u043d\u043d\u044b\u043c\u0438 \u0411\u0414 \u0438\u0437 Python<\/td>\n<td><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\">sqlalchemy<\/code><\/td>\n<td><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\">import sqlalchemy<\/code><\/td>\n<\/tr>\n<tr>\n<td>BeautifulSoup<\/td>\n<td>\u0440\u0430\u0437\u0431\u043e\u0440 HTML \u0438 XML<\/td>\n<td><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\">beautifulsoup4<\/code><\/td>\n<td><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\">from bs4 import BeautifulSoup<\/code><\/td>\n<\/tr>\n<tr>\n<td>Pillow<\/td>\n<td>\u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439<\/td>\n<td><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\">pillow<\/code><\/td>\n<td><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\">from PIL import Image<\/code><\/td>\n<\/tr>\n<tr>\n<td>scikit-learn<\/td>\n<td>\u043a\u043b\u0430\u0441\u0441\u0438\u0447\u0435\u0441\u043a\u043e\u0435 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0435 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435<\/td>\n<td><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\">scikit-learn<\/code><\/td>\n<td><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\">import sklearn<\/code><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>FastAPI \u0438 Django \u0441\u0442\u043e\u044f\u0442 \u0432 \u043e\u0434\u043d\u043e\u0439 \u043a\u0430\u0442\u0435\u0433\u043e\u0440\u0438\u0438 \u00ab\u0432\u0435\u0431\u00bb, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u0441\u0442\u0440\u043e\u043a \u043e\u0434\u0438\u043d\u043d\u0430\u0434\u0446\u0430\u0442\u044c: \u0432\u044b\u0431\u0438\u0440\u0430\u044e\u0442 \u043e\u0431\u044b\u0447\u043d\u043e \u043e\u0434\u043d\u043e \u0438\u0437 \u0434\u0432\u0443\u0445. \u0422\u0440\u0438 \u0441\u0442\u0440\u043e\u043a\u0438 \u0441 \u043e\u0442\u043b\u0438\u0447\u0430\u044e\u0449\u0438\u043c\u0438\u0441\u044f \u0438\u043c\u0435\u043d\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\">beautifulsoup4<\/code> -&gt; <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\">bs4<\/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\">pillow<\/code> -&gt; <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\">PIL<\/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\">scikit-learn<\/code> -&gt; <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\">sklearn<\/code>) &#8212; \u0447\u0430\u0441\u0442\u0430\u044f \u043f\u0440\u0438\u0447\u0438\u043d\u0430 \u043e\u0448\u0438\u0431\u043e\u043a \u0443 \u043d\u043e\u0432\u0438\u0447\u043a\u043e\u0432.<\/p>\n<h2 id=\"s3\">\u041a\u0430\u043a \u0432\u044b\u0431\u0440\u0430\u0442\u044c \u043f\u043e\u0434 \u0437\u0430\u0434\u0430\u0447\u0443<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u0417\u0430\u0434\u0430\u0447\u0430<\/th>\n<th>\u0427\u0442\u043e \u0432\u0437\u044f\u0442\u044c<\/th>\n<th>\u041a\u043e\u0433\u0434\u0430 \u0438\u043d\u0430\u0447\u0435<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u041f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0434\u0430\u043d\u043d\u044b\u0435 \u0441 \u0441\u0430\u0439\u0442\u0430 \u0438\u043b\u0438 API<\/td>\n<td>requests<\/td>\n<td>\u043c\u043d\u043e\u0433\u043e \u043f\u0430\u0440\u0430\u043b\u043b\u0435\u043b\u044c\u043d\u044b\u0445 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u0432 async-\u043a\u043e\u0434\u0435 &#8212; httpx \u0438\u043b\u0438 aiohttp<\/td>\n<\/tr>\n<tr>\n<td>\u041f\u043e\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0438 \u0441\u0433\u0440\u0443\u043f\u043f\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0442\u0430\u0431\u043b\u0438\u0446\u0443<\/td>\n<td>pandas (\u0432\u043d\u0443\u0442\u0440\u0438 \u043d\u0430 NumPy)<\/td>\n<td>\u0434\u0430\u043d\u043d\u044b\u0435 \u043d\u0435 \u043f\u043e\u043c\u0435\u0449\u0430\u044e\u0442\u0441\u044f \u0432 \u043f\u0430\u043c\u044f\u0442\u044c &#8212; \u0447\u0442\u0435\u043d\u0438\u0435 \u043f\u043e \u0447\u0430\u0441\u0442\u044f\u043c \u0438\u043b\u0438 \u043a\u043e\u043b\u043e\u043d\u043e\u0447\u043d\u044b\u0435 \u0434\u0432\u0438\u0436\u043a\u0438 \u0432\u0440\u043e\u0434\u0435 Polars \u0438 DuckDB<\/td>\n<\/tr>\n<tr>\n<td>\u041f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u0433\u0440\u0430\u0444\u0438\u043a \u0432 \u043e\u0442\u0447\u0435\u0442<\/td>\n<td>Matplotlib<\/td>\n<td>\u043d\u0443\u0436\u0435\u043d \u0438\u043d\u0442\u0435\u0440\u0430\u043a\u0442\u0438\u0432 \u0432 \u0431\u0440\u0430\u0443\u0437\u0435\u0440\u0435 &#8212; Plotly \u0438\u043b\u0438 Bokeh<\/td>\n<\/tr>\n<tr>\n<td>\u0421\u0434\u0435\u043b\u0430\u0442\u044c API<\/td>\n<td>FastAPI<\/td>\n<td>\u043d\u0443\u0436\u0435\u043d \u0441\u0430\u0439\u0442 \u0441 \u0430\u0434\u043c\u0438\u043d\u043a\u043e\u0439 \u0438 \u0430\u0432\u0442\u043e\u0440\u0438\u0437\u0430\u0446\u0438\u0435\u0439 \u0438\u0437 \u043a\u043e\u0440\u043e\u0431\u043a\u0438 &#8212; Django<\/td>\n<\/tr>\n<tr>\n<td>\u0412\u044b\u0442\u0430\u0449\u0438\u0442\u044c \u0434\u0430\u043d\u043d\u044b\u0435 \u0438\u0437 HTML<\/td>\n<td>BeautifulSoup<\/td>\n<td>\u043e\u0431\u0445\u043e\u0434 \u0442\u044b\u0441\u044f\u0447 \u0441\u0442\u0440\u0430\u043d\u0438\u0446 &#8212; Scrapy; \u0441\u0442\u0440\u0430\u043d\u0438\u0446\u0430 \u0441\u0442\u0440\u043e\u0438\u0442\u0441\u044f JavaScript &#8212; \u0431\u0440\u0430\u0443\u0437\u0435\u0440\u043d\u0430\u044f \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0430\u0446\u0438\u044f<\/td>\n<\/tr>\n<tr>\n<td>\u041e\u0431\u0443\u0447\u0438\u0442\u044c \u043c\u043e\u0434\u0435\u043b\u044c \u043d\u0430 \u0442\u0430\u0431\u043b\u0438\u0447\u043d\u044b\u0445 \u0434\u0430\u043d\u043d\u044b\u0445<\/td>\n<td>scikit-learn<\/td>\n<td>\u043d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u0438 &#8212; PyTorch \u0438\u043b\u0438 Keras<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 id=\"s4\">\u0423\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0430: \u0441\u043d\u0430\u0447\u0430\u043b\u0430 \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u044c\u043d\u043e\u0435 \u043e\u043a\u0440\u0443\u0436\u0435\u043d\u0438\u0435<\/h2>\n<p>\u0421\u0442\u0430\u0432\u0438\u0442\u044c \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 \u043b\u0443\u0447\u0448\u0435 \u043d\u0435 \u0432 \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. \u0412 \u0441\u0432\u0435\u0436\u0438\u0445 Debian, Ubuntu \u0438 Python \u043e\u0442 Homebrew \u0441\u0438\u0441\u0442\u0435\u043c\u043d\u044b\u0439 pip \u0432\u043e\u043e\u0431\u0449\u0435 \u043e\u0442\u043a\u0430\u0436\u0435\u0442 \u0441 \u043e\u0448\u0438\u0431\u043a\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\">externally-managed-environment<\/code> (\u043c\u0435\u0445\u0430\u043d\u0438\u0437\u043c PEP 668).<\/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\">python3<span style=\"color: #ABB2BF\"> <\/span>-m<span style=\"color: #ABB2BF\"> <\/span>venv<span style=\"color: #ABB2BF\"> <\/span>.venv\n<span style=\"color: #E5C07B\">source<\/span><span style=\"color: #ABB2BF\"> <\/span>.venv\/bin\/activate<span style=\"color: #ABB2BF\">        <\/span><span style=\"color: #7F848E\"># \u0432 Windows: .venv\\Scripts\\activate<\/span>\npython<span style=\"color: #ABB2BF\"> <\/span>-m<span style=\"color: #ABB2BF\"> <\/span>pip<span style=\"color: #ABB2BF\"> <\/span>install<span style=\"color: #ABB2BF\"> <\/span>requests<span style=\"color: #ABB2BF\"> <\/span>beautifulsoup4<span style=\"color: #ABB2BF\"> <\/span>pandas<span style=\"color: #ABB2BF\"> <\/span>matplotlib<span style=\"color: #ABB2BF\"> <\/span>pytest\npython<span style=\"color: #ABB2BF\"> <\/span>-m<span style=\"color: #ABB2BF\"> <\/span>pip<span style=\"color: #ABB2BF\"> <\/span>freeze<span style=\"color: #ABB2BF\"> <\/span>&gt;<span style=\"color: #ABB2BF\"> <\/span>requirements.txt<\/code><\/pre>\n<p>\u041a\u043e\u043c\u0430\u043d\u0434\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 pip<\/code> \u0433\u0430\u0440\u0430\u043d\u0442\u0438\u0440\u0443\u0435\u0442, \u0447\u0442\u043e \u043f\u0430\u043a\u0435\u0442\u044b \u043f\u043e\u043f\u0430\u0434\u0443\u0442 \u0432 \u0442\u043e\u0442 \u0436\u0435 \u0438\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0430\u0442\u043e\u0440, \u043a\u043e\u0442\u043e\u0440\u044b\u043c \u0432\u044b \u043f\u043e\u0442\u043e\u043c \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u0435\u0442\u0435 \u043a\u043e\u0434. \u0424\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\">requirements.txt<\/code> \u0444\u0438\u043a\u0441\u0438\u0440\u0443\u0435\u0442 \u0432\u0435\u0440\u0441\u0438\u0438, \u0447\u0442\u043e\u0431\u044b \u043f\u0440\u043e\u0435\u043a\u0442 \u0441\u043e\u0431\u0440\u0430\u043b\u0441\u044f \u0442\u0430\u043a \u0436\u0435 \u0443 \u043a\u043e\u043b\u043b\u0435\u0433\u0438 \u0438 \u043d\u0430 \u0441\u0435\u0440\u0432\u0435\u0440\u0435.<\/p>\n<h2 id=\"s5\">\u041f\u0440\u0438\u043c\u0435\u0440 1: requests &#8212; \u0437\u0430\u043f\u0440\u043e\u0441 \u043a API<\/h2>\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: #C678DD\">import<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">requests<\/span>\n\n<span style=\"color: #C678DD\">try<\/span><span style=\"color: #ABB2BF\">:<\/span>\n    <span style=\"color: #E06C75\">resp<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #E06C75\">requests<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">get<\/span><span style=\"color: #ABB2BF\">(<\/span>\n        <span style=\"color: #98C379\">\"https:\/\/httpbin.org\/get\"<\/span><span style=\"color: #ABB2BF\">,<\/span>\n        <span style=\"color: #E06C75\">params<\/span><span style=\"color: #56B6C2\">=<\/span><span style=\"color: #ABB2BF\">{<\/span><span style=\"color: #98C379\">\"q\"<\/span><span style=\"color: #ABB2BF\">:<\/span> <span style=\"color: #98C379\">\"python\"<\/span><span style=\"color: #ABB2BF\">},<\/span>\n        <span style=\"color: #E06C75\">timeout<\/span><span style=\"color: #56B6C2\">=<\/span><span style=\"color: #D19A66\">10<\/span><span style=\"color: #ABB2BF\">,<\/span>\n    <span style=\"color: #ABB2BF\">)<\/span>\n    <span style=\"color: #E06C75\">resp<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">raise_for_status<\/span><span style=\"color: #ABB2BF\">()<\/span>\n<span style=\"color: #C678DD\">except<\/span> <span style=\"color: #E06C75\">requests<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">RequestException<\/span> <span style=\"color: #C678DD\">as<\/span> <span style=\"color: #E06C75\">exc<\/span><span style=\"color: #ABB2BF\">:<\/span>\n    <span style=\"color: #E5C07B\">print<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #98C379\">\"\u041e\u0448\u0438\u0431\u043a\u0430 \u0437\u0430\u043f\u0440\u043e\u0441\u0430:\"<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #E06C75\">exc<\/span><span style=\"color: #ABB2BF\">)<\/span>\n<span style=\"color: #C678DD\">else<\/span><span style=\"color: #ABB2BF\">:<\/span>\n    <span style=\"color: #E06C75\">data<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #E06C75\">resp<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">json<\/span><span style=\"color: #ABB2BF\">()<\/span>\n    <span style=\"color: #E5C07B\">print<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">resp<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">status_code<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #E06C75\">data<\/span><span style=\"color: #ABB2BF\">[<\/span><span style=\"color: #98C379\">\"args\"<\/span><span style=\"color: #ABB2BF\">])<\/span><\/code><\/pre>\n<p>\u0412 \u043a\u043e\u043d\u0441\u043e\u043b\u0438 \u043f\u043e\u044f\u0432\u0438\u0442\u0441\u044f:<\/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\">200 {&#x27;q&#x27;: &#x27;python&#x27;}\n<\/code><\/pre>\n<p>\u0427\u0442\u043e \u0437\u0434\u0435\u0441\u044c \u0432\u0430\u0436\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\">params<\/code> \u0441\u0430\u043c \u043a\u043e\u0434\u0438\u0440\u0443\u0435\u0442 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u044b \u0432 URL &#8212; \u0441\u043a\u043b\u0435\u0438\u0432\u0430\u0442\u044c \u0441\u0442\u0440\u043e\u043a\u0443 \u0440\u0443\u043a\u0430\u043c\u0438 \u043d\u0435 \u043d\u0443\u0436\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\">timeout=10<\/code> \u043e\u0431\u044f\u0437\u0430\u0442\u0435\u043b\u0435\u043d: \u043f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e \u0443 requests \u0442\u0430\u0439\u043c\u0430\u0443\u0442\u0430 \u043d\u0435\u0442, \u0438 \u043f\u0440\u0438 \u0437\u0430\u0432\u0438\u0441\u0448\u0435\u043c \u0441\u0435\u0440\u0432\u0435\u0440\u0435 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0430 \u0431\u0443\u0434\u0435\u0442 \u0436\u0434\u0430\u0442\u044c \u0431\u0435\u0441\u043a\u043e\u043d\u0435\u0447\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\">raise_for_status()<\/code> \u043f\u0440\u0435\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u043e\u0442\u0432\u0435\u0442\u044b 4xx \u0438 5xx \u0432 \u0438\u0441\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u0435, \u0438\u043d\u0430\u0447\u0435 \u043e\u0448\u0438\u0431\u043a\u0430 \u0441\u0435\u0440\u0432\u0435\u0440\u0430 \u043f\u0440\u043e\u0439\u0434\u0435\u0442 \u043c\u043e\u043b\u0447\u0430.<\/p>\n<h2 id=\"s6\">\u041f\u0440\u0438\u043c\u0435\u0440 2: HTML -&gt; \u0442\u0430\u0431\u043b\u0438\u0446\u0430 -&gt; \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0430 -&gt; \u0433\u0440\u0430\u0444\u0438\u043a<\/h2>\n<p>\u041e\u0434\u0438\u043d \u0437\u0430\u043a\u043e\u043d\u0447\u0435\u043d\u043d\u044b\u0439 \u0441\u043a\u0440\u0438\u043f\u0442 \u043d\u0430 \u0447\u0435\u0442\u044b\u0440\u0435\u0445 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430\u0445: BeautifulSoup \u0440\u0430\u0437\u0431\u0438\u0440\u0430\u0435\u0442 HTML, pandas \u0441\u043e\u0431\u0438\u0440\u0430\u0435\u0442 \u0442\u0430\u0431\u043b\u0438\u0446\u0443, NumPy \u0441\u0447\u0438\u0442\u0430\u0435\u0442, Matplotlib \u0441\u043e\u0445\u0440\u0430\u043d\u044f\u0435\u0442 \u0433\u0440\u0430\u0444\u0438\u043a. HTML \u0437\u0430\u0434\u0430\u043d \u0441\u0442\u0440\u043e\u043a\u043e\u0439, \u0447\u0442\u043e\u0431\u044b \u043f\u0440\u0438\u043c\u0435\u0440 \u0440\u0430\u0431\u043e\u0442\u0430\u043b \u0431\u0435\u0437 \u0441\u0435\u0442\u0438.<\/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: #C678DD\">from<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">bs4<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #C678DD\">import<\/span> <span style=\"color: #E06C75\">BeautifulSoup<\/span>\n<span style=\"color: #C678DD\">import<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">numpy<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #C678DD\">as<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">np<\/span>\n<span style=\"color: #C678DD\">import<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">pandas<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #C678DD\">as<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">pd<\/span>\n<span style=\"color: #C678DD\">import<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">matplotlib<\/span>\n<span style=\"color: #E06C75\">matplotlib<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">use<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #98C379\">\"Agg\"<\/span><span style=\"color: #ABB2BF\">)<\/span>  <span style=\"color: #7F848E\"># \u0440\u0438\u0441\u0443\u0435\u043c \u0432 \u0444\u0430\u0439\u043b, \u0431\u0435\u0437 \u043e\u043a\u043d\u0430<\/span>\n<span style=\"color: #C678DD\">import<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">matplotlib.pyplot<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #C678DD\">as<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">plt<\/span>\n\n<span style=\"color: #E06C75\">HTML<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #98C379\">\"\"\"<\/span>\n<span style=\"color: #98C379\">&lt;table id=\"courses\"&gt;<\/span>\n<span style=\"color: #98C379\">  &lt;tr&gt;&lt;td&gt;Python Basic&lt;\/td&gt;&lt;td&gt;4&lt;\/td&gt;&lt;td&gt;120&lt;\/td&gt;&lt;\/tr&gt;<\/span>\n<span style=\"color: #98C379\">  &lt;tr&gt;&lt;td&gt;Python Pro&lt;\/td&gt;&lt;td&gt;5&lt;\/td&gt;&lt;td&gt;80&lt;\/td&gt;&lt;\/tr&gt;<\/span>\n<span style=\"color: #98C379\">  &lt;tr&gt;&lt;td&gt;ML Basic&lt;\/td&gt;&lt;td&gt;5&lt;\/td&gt;&lt;td&gt;95&lt;\/td&gt;&lt;\/tr&gt;<\/span>\n<span style=\"color: #98C379\">&lt;\/table&gt;<\/span>\n<span style=\"color: #98C379\">\"\"\"<\/span>\n\n<span style=\"color: #C678DD\">def<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #61AFEF; font-weight: bold\">parse<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">html<\/span><span style=\"color: #ABB2BF\">:<\/span> <span style=\"color: #E5C07B\">str<\/span><span style=\"color: #ABB2BF\">)<\/span> <span style=\"color: #56B6C2\">-&gt;<\/span> <span style=\"color: #E06C75\">pd<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">DataFrame<\/span><span style=\"color: #ABB2BF\">:<\/span>\n    <span style=\"color: #E06C75\">soup<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #E06C75\">BeautifulSoup<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">html<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #98C379\">\"html.parser\"<\/span><span style=\"color: #ABB2BF\">)<\/span>\n    <span style=\"color: #E06C75\">rows<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #ABB2BF\">[]<\/span>\n    <span style=\"color: #C678DD\">for<\/span> <span style=\"color: #E06C75\">tr<\/span> <span style=\"color: #56B6C2\">in<\/span> <span style=\"color: #E06C75\">soup<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">select<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #98C379\">\"#courses tr\"<\/span><span style=\"color: #ABB2BF\">):<\/span>\n        <span style=\"color: #E06C75\">name<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #E06C75\">months<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #E06C75\">students<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">td<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">get_text<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">strip<\/span><span style=\"color: #56B6C2\">=<\/span><span style=\"color: #E5C07B\">True<\/span><span style=\"color: #ABB2BF\">)<\/span> <span style=\"color: #C678DD\">for<\/span> <span style=\"color: #E06C75\">td<\/span> <span style=\"color: #56B6C2\">in<\/span> <span style=\"color: #E06C75\">tr<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">find_all<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #98C379\">\"td\"<\/span><span style=\"color: #ABB2BF\">))<\/span>\n        <span style=\"color: #E06C75\">rows<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">append<\/span><span style=\"color: #ABB2BF\">({<\/span><span style=\"color: #98C379\">\"course\"<\/span><span style=\"color: #ABB2BF\">:<\/span> <span style=\"color: #E06C75\">name<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #98C379\">\"months\"<\/span><span style=\"color: #ABB2BF\">:<\/span> <span style=\"color: #E5C07B\">int<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">months<\/span><span style=\"color: #ABB2BF\">),<\/span> <span style=\"color: #98C379\">\"students\"<\/span><span style=\"color: #ABB2BF\">:<\/span> <span style=\"color: #E5C07B\">int<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">students<\/span><span style=\"color: #ABB2BF\">)})<\/span>\n    <span style=\"color: #C678DD\">return<\/span> <span style=\"color: #E06C75\">pd<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">DataFrame<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">rows<\/span><span style=\"color: #ABB2BF\">)<\/span>\n\n<span style=\"color: #E06C75\">df<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #E06C75\">parse<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">HTML<\/span><span style=\"color: #ABB2BF\">)<\/span>\n<span style=\"color: #E5C07B\">print<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">df<\/span><span style=\"color: #ABB2BF\">)<\/span>\n<span style=\"color: #E5C07B\">print<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #98C379\">\"\u0421\u0440\u0435\u0434\u043d\u0435\u0435 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u043e\u0432:\"<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #E06C75\">np<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">mean<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">df<\/span><span style=\"color: #ABB2BF\">[<\/span><span style=\"color: #98C379\">\"students\"<\/span><span style=\"color: #ABB2BF\">])<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">round<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #D19A66\">1<\/span><span style=\"color: #ABB2BF\">))<\/span>\n\n<span style=\"color: #E06C75\">ax<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #E06C75\">df<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">plot<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">bar<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">x<\/span><span style=\"color: #56B6C2\">=<\/span><span style=\"color: #98C379\">\"course\"<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #E06C75\">y<\/span><span style=\"color: #56B6C2\">=<\/span><span style=\"color: #98C379\">\"students\"<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #E06C75\">legend<\/span><span style=\"color: #56B6C2\">=<\/span><span style=\"color: #E5C07B\">False<\/span><span style=\"color: #ABB2BF\">)<\/span>\n<span style=\"color: #E06C75\">ax<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">set_ylabel<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #98C379\">\"\u0421\u0442\u0443\u0434\u0435\u043d\u0442\u043e\u0432\"<\/span><span style=\"color: #ABB2BF\">)<\/span>\n<span style=\"color: #E06C75\">plt<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">tight_layout<\/span><span style=\"color: #ABB2BF\">()<\/span>\n<span style=\"color: #E06C75\">plt<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">savefig<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #98C379\">\"students.png\"<\/span><span style=\"color: #ABB2BF\">)<\/span>\n<span style=\"color: #E5C07B\">print<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #98C379\">\"\u0413\u0440\u0430\u0444\u0438\u043a \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d \u0432 students.png\"<\/span><span style=\"color: #ABB2BF\">)<\/span><\/code><\/pre>\n<p>\u0421\u043e\u0445\u0440\u0430\u043d\u0438\u0442\u0435 \u043a\u0430\u043a <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\">report.py<\/code> \u0438 \u0437\u0430\u043f\u0443\u0441\u0442\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\">python report.py<\/code>:<\/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\">         course  months  students\n0  Python Basic       4       120\n1    Python Pro       5        80\n2      ML Basic       5        95\n\u0421\u0440\u0435\u0434\u043d\u0435\u0435 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u043e\u0432: 98.3\n\u0413\u0440\u0430\u0444\u0438\u043a \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d \u0432 students.png\n<\/code><\/pre>\n<p>\u0420\u044f\u0434\u043e\u043c \u043f\u043e\u044f\u0432\u0438\u0442\u0441\u044f \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\">students.png<\/code> \u0441\u043e \u0441\u0442\u043e\u043b\u0431\u0447\u0430\u0442\u043e\u0439 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u043e\u0439. \u0421\u0442\u0440\u043e\u043a\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\">matplotlib.use(\"Agg\")<\/code> \u0434\u0435\u043b\u0430\u0435\u0442 \u043f\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u043f\u0440\u0435\u0434\u0441\u043a\u0430\u0437\u0443\u0435\u043c\u044b\u043c \u0438 \u043d\u0430 \u0441\u0435\u0440\u0432\u0435\u0440\u0435 \u0431\u0435\u0437 \u044d\u043a\u0440\u0430\u043d\u0430: \u0433\u0440\u0430\u0444\u0438\u043a \u043f\u0438\u0448\u0435\u0442\u0441\u044f \u0432 \u0444\u0430\u0439\u043b, \u043e\u043a\u043d\u043e \u043d\u0435 \u043e\u0442\u043a\u0440\u044b\u0432\u0430\u0435\u0442\u0441\u044f; \u043d\u0430 \u0441\u0432\u043e\u0435\u043c \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0435 \u0432\u043c\u0435\u0441\u0442\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\">savefig<\/code> \u043c\u043e\u0436\u043d\u043e \u0432\u044b\u0437\u0432\u0430\u0442\u044c <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\">plt.show()<\/code>. \u0414\u0430\u043d\u043d\u044b\u0435 \u0432 \u0442\u0430\u0431\u043b\u0438\u0446\u0435 \u0443\u0447\u0435\u0431\u043d\u044b\u0435.<\/p>\n<h2 id=\"s7\">\u041f\u0440\u0438\u043c\u0435\u0440 3: pytest \u043f\u0440\u043e\u0432\u0435\u0440\u044f\u0435\u0442 \u0444\u0443\u043d\u043a\u0446\u0438\u044e parse<\/h2>\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: #C678DD\">from<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">report<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #C678DD\">import<\/span> <span style=\"color: #E06C75\">parse<\/span>\n\n<span style=\"color: #C678DD\">def<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #61AFEF; font-weight: bold\">test_parse_counts_rows<\/span><span style=\"color: #ABB2BF\">():<\/span>\n    <span style=\"color: #E06C75\">df<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #E06C75\">parse<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #98C379\">\"&lt;table id='courses'&gt;&lt;tr&gt;&lt;td&gt;A&lt;\/td&gt;&lt;td&gt;1&lt;\/td&gt;&lt;td&gt;10&lt;\/td&gt;&lt;\/tr&gt;&lt;\/table&gt;\"<\/span><span style=\"color: #ABB2BF\">)<\/span>\n    <span style=\"color: #C678DD\">assert<\/span> <span style=\"color: #E5C07B\">len<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">df<\/span><span style=\"color: #ABB2BF\">)<\/span> <span style=\"color: #56B6C2\">==<\/span> <span style=\"color: #D19A66\">1<\/span>\n    <span style=\"color: #C678DD\">assert<\/span> <span style=\"color: #E06C75\">df<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">loc<\/span><span style=\"color: #ABB2BF\">[<\/span><span style=\"color: #D19A66\">0<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #98C379\">\"students\"<\/span><span style=\"color: #ABB2BF\">]<\/span> <span style=\"color: #56B6C2\">==<\/span> <span style=\"color: #D19A66\">10<\/span>\n\n<span style=\"color: #C678DD\">def<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #61AFEF; font-weight: bold\">test_parse_empty_table<\/span><span style=\"color: #ABB2BF\">():<\/span>\n    <span style=\"color: #E06C75\">df<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #E06C75\">parse<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #98C379\">\"&lt;table id='courses'&gt;&lt;\/table&gt;\"<\/span><span style=\"color: #ABB2BF\">)<\/span>\n    <span style=\"color: #C678DD\">assert<\/span> <span style=\"color: #E06C75\">df<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">empty<\/span><\/code><\/pre>\n<p>\u0424\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\">test_report.py<\/code> \u0432 \u0442\u043e\u0439 \u0436\u0435 \u043f\u0430\u043f\u043a\u0435, \u0437\u0430\u043f\u0443\u0441\u043a <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 pytest -q<\/code>:<\/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\">..                                                                       [100%]\n2 passed in 0.41s\n<\/code><\/pre>\n<p>pytest \u0441\u0430\u043c \u043d\u0430\u0445\u043e\u0434\u0438\u0442 \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\">test_*.py<\/code> \u0438 \u0444\u0443\u043d\u043a\u0446\u0438\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\">test_*<\/code>, \u0430 \u043e\u0431\u044b\u0447\u043d\u044b\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\">assert<\/code> \u043f\u0440\u0435\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u0432 \u043f\u043e\u043d\u044f\u0442\u043d\u044b\u0439 \u043e\u0442\u0447\u0435\u0442 \u043f\u0440\u0438 \u043f\u0430\u0434\u0435\u043d\u0438\u0438. \u0412\u0440\u0435\u043c\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u0443 \u0432\u0430\u0441 \u0431\u0443\u0434\u0435\u0442 \u0434\u0440\u0443\u0433\u0438\u043c. \u0423\u043f\u0440\u043e\u0449\u0435\u043d\u0438\u0435 \u044d\u0442\u043e\u0433\u043e \u043f\u0440\u0438\u043c\u0435\u0440\u0430: \u043f\u0440\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\">import<\/code> \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442\u0441\u044f \u0432\u0435\u0441\u044c <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\">report.py<\/code>, \u0432\u043a\u043b\u044e\u0447\u0430\u044f \u043f\u0435\u0447\u0430\u0442\u044c \u0438 \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u0435 \u0433\u0440\u0430\u0444\u0438\u043a\u0430; \u0432 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u043c \u043f\u0440\u043e\u0435\u043a\u0442\u0435 \u043a\u043e\u0434 \u0437\u0430\u043f\u0443\u0441\u043a\u0430 \u043f\u0440\u044f\u0447\u0443\u0442 \u043f\u043e\u0434 <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\">if __name__ == \"__main__\":<\/code>.<\/p>\n<h2 id=\"s8\">\u0422\u0438\u043f\u043e\u0432\u0430\u044f \u043e\u0448\u0438\u0431\u043a\u0430: \u0438\u043c\u044f \u0432 pip \u043d\u0435 \u0440\u0430\u0432\u043d\u043e \u0438\u043c\u0435\u043d\u0438 \u0432 import<\/h2>\n<p>\u041d\u0435\u0432\u0435\u0440\u043d\u043e:<\/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: #C678DD\">import<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">beautifulsoup4<\/span><\/code><\/pre>\n<p>\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\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\">ModuleNotFoundError: No module named &#x27;beautifulsoup4&#x27;\n<\/code><\/pre>\n<p>\u0418\u0441\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u0435 &#8212; \u0438\u043c\u043f\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043f\u0430\u043a\u0435\u0442 \u043f\u043e \u0435\u0433\u043e \u0438\u043c\u0435\u043d\u0438 \u0432 \u043a\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\">from bs4 import BeautifulSoup<\/code>. \u0422\u043e \u0436\u0435 \u0441 Pillow: \u0441\u0442\u0430\u0432\u0438\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\">pillow<\/code>, \u0430 \u0438\u043c\u043f\u043e\u0440\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\">from PIL import Image<\/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\">import pillow<\/code> \u0434\u0430\u0441\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\">ModuleNotFoundError: No module named 'pillow'<\/code>.<\/p>\n<h2 id=\"s9\">\u0415\u0441\u043b\u0438 \u043d\u0435 \u043f\u043e\u043b\u0443\u0447\u0438\u043b\u043e\u0441\u044c<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u0421\u0438\u043c\u043f\u0442\u043e\u043c<\/th>\n<th>\u041f\u0440\u0438\u0447\u0438\u043d\u0430<\/th>\n<th>\u0427\u0442\u043e \u0434\u0435\u043b\u0430\u0442\u044c<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><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\">No module named 'bs4'<\/code>, \u0445\u043e\u0442\u044f pip install \u043f\u0440\u043e\u0448\u0435\u043b<\/td>\n<td>\u043f\u0430\u043a\u0435\u0442 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043b\u0435\u043d \u0432 \u0434\u0440\u0443\u0433\u043e\u0439 \u0438\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0430\u0442\u043e\u0440<\/td>\n<td>\u0441\u0442\u0430\u0432\u0438\u0442\u044c \u0447\u0435\u0440\u0435\u0437 <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 pip<\/code>, \u043f\u0440\u043e\u0432\u0435\u0440\u0438\u0442\u044c <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 -c \"import sys; print(sys.executable)\"<\/code><\/td>\n<\/tr>\n<tr>\n<td><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\">externally-managed-environment<\/code><\/td>\n<td>\u0441\u0438\u0441\u0442\u0435\u043c\u043d\u044b\u0439 Python \u0437\u0430\u0449\u0438\u0449\u0435\u043d \u043e\u0442 pip<\/td>\n<td>\u0441\u043e\u0437\u0434\u0430\u0442\u044c venv \u0438 \u0441\u0442\u0430\u0432\u0438\u0442\u044c \u0432 \u043d\u0435\u0433\u043e<\/td>\n<\/tr>\n<tr>\n<td>\u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0430 \u0437\u0430\u0432\u0438\u0441\u0430\u0435\u0442 \u043d\u0430 requests<\/td>\n<td>\u043d\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\">timeout<\/code><\/td>\n<td>\u043f\u0435\u0440\u0435\u0434\u0430\u0432\u0430\u0442\u044c <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\">timeout=<\/code> \u0432 \u043a\u0430\u0436\u0434\u044b\u0439 \u0437\u0430\u043f\u0440\u043e\u0441<\/td>\n<\/tr>\n<tr>\n<td>\u0433\u0440\u0430\u0444\u0438\u043a \u043d\u0435 \u043f\u043e\u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u043d\u0430 \u0441\u0435\u0440\u0432\u0435\u0440\u0435<\/td>\n<td>\u043d\u0435\u0442 \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0441\u0440\u0435\u0434\u044b<\/td>\n<td><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.use(\"Agg\")<\/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\">savefig<\/code><\/td>\n<\/tr>\n<tr>\n<td>\u043a\u043e\u0434 \u0438\u0437 \u0441\u0442\u0430\u0440\u043e\u0439 \u0441\u0442\u0430\u0442\u044c\u0438 \u043f\u0430\u0434\u0430\u0435\u0442<\/td>\n<td>\u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430 \u0441\u043c\u0435\u043d\u0438\u043b\u0430 API \u043c\u0435\u0436\u0434\u0443 \u0432\u0435\u0440\u0441\u0438\u044f\u043c\u0438<\/td>\n<td>\u0441\u0432\u0435\u0440\u0438\u0442\u044c \u0432\u0435\u0440\u0441\u0438\u044e <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 show &lt;\u043f\u0430\u043a\u0435\u0442&gt;<\/code> \u0441 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0435\u0439<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 id=\"s10\">\u0411\u0435\u0437\u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u044c \u043f\u0440\u0438 \u0440\u0430\u0431\u043e\u0442\u0435 \u0441 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430\u043c\u0438<\/h2>\n<p>\u0421\u0442\u043e\u0440\u043e\u043d\u043d\u0438\u0439 \u043f\u0430\u043a\u0435\u0442 \u0438\u0441\u043f\u043e\u043b\u043d\u044f\u0435\u0442 \u043a\u043e\u0434 \u0441 \u043f\u0440\u0430\u0432\u0430\u043c\u0438 \u0432\u0430\u0448\u0435\u0439 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u044b, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043f\u0440\u0430\u0432\u0438\u043b \u0441\u0442\u043e\u0438\u0442 \u0441\u043e\u0431\u043b\u044e\u0434\u0430\u0442\u044c \u0441 \u043f\u0435\u0440\u0432\u043e\u0433\u043e \u043f\u0440\u043e\u0435\u043a\u0442\u0430. \u0422\u043e\u0447\u043d\u043e \u043f\u0440\u043e\u0432\u0435\u0440\u044f\u0439\u0442\u0435 \u0438\u043c\u044f \u043f\u0430\u043a\u0435\u0442\u0430 \u043f\u0435\u0440\u0435\u0434 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u043e\u0439: \u043d\u0430 PyPI \u0432\u0441\u0442\u0440\u0435\u0447\u0430\u044e\u0442\u0441\u044f \u043f\u043e\u0434\u0434\u0435\u043b\u043a\u0438 \u0441 \u043f\u043e\u0445\u043e\u0436\u0438\u043c\u0438 \u0438\u043c\u0435\u043d\u0430\u043c\u0438. \u0424\u0438\u043a\u0441\u0438\u0440\u0443\u0439\u0442\u0435 \u0432\u0435\u0440\u0441\u0438\u0438 \u0432 <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\">requirements.txt<\/code> \u0438\u043b\u0438 lock-\u0444\u0430\u0439\u043b\u0435 \u0438 \u043e\u0431\u043d\u043e\u0432\u043b\u044f\u0439\u0442\u0435 \u0438\u0445 \u043e\u0441\u043e\u0437\u043d\u0430\u043d\u043d\u043e.<\/p>\n<p>\u0412 requests \u043d\u0435 \u043e\u0442\u043a\u043b\u044e\u0447\u0430\u0439\u0442\u0435 \u043f\u0440\u043e\u0432\u0435\u0440\u043a\u0443 \u0441\u0435\u0440\u0442\u0438\u0444\u0438\u043a\u0430\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\">verify=False<\/code>) \u0440\u0430\u0434\u0438 \u00ab\u0447\u0442\u043e\u0431\u044b \u0437\u0430\u0440\u0430\u0431\u043e\u0442\u0430\u043b\u043e\u00bb &#8212; \u044d\u0442\u043e \u043e\u0442\u043a\u0440\u044b\u0432\u0430\u0435\u0442 \u043f\u043e\u0434\u043c\u0435\u043d\u0443 \u043e\u0442\u0432\u0435\u0442\u0430. \u041f\u0440\u0438 \u043f\u0430\u0440\u0441\u0438\u043d\u0433\u0435 \u0441\u0430\u0439\u0442\u043e\u0432 \u0441\u043e\u0431\u043b\u044e\u0434\u0430\u0439\u0442\u0435 \u0443\u0441\u043b\u043e\u0432\u0438\u044f \u0441\u0430\u0439\u0442\u0430 \u0438 \u043d\u0435 \u0441\u043e\u0431\u0438\u0440\u0430\u0439\u0442\u0435 \u043f\u0435\u0440\u0441\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0435 \u0434\u0430\u043d\u043d\u044b\u0435 \u0431\u0435\u0437 \u043e\u0441\u043d\u043e\u0432\u0430\u043d\u0438\u0439. \u0421\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u043d\u044b\u0435 \u043c\u043e\u0434\u0435\u043b\u0438 scikit-learn (\u0447\u0435\u0440\u0435\u0437 <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\">joblib<\/code> \u0438\u043b\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\">pickle<\/code>) \u0437\u0430\u0433\u0440\u0443\u0436\u0430\u0439\u0442\u0435 \u0442\u043e\u043b\u044c\u043a\u043e \u0438\u0437 \u0434\u043e\u0432\u0435\u0440\u0435\u043d\u043d\u043e\u0433\u043e \u0438\u0441\u0442\u043e\u0447\u043d\u0438\u043a\u0430: \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0430 \u0442\u0430\u043a\u043e\u0433\u043e \u0444\u0430\u0439\u043b\u0430 \u043c\u043e\u0436\u0435\u0442 \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u043b\u044c\u043d\u044b\u0439 \u043a\u043e\u0434.<\/p>\n<h2 id=\"s11\">\u0412\u044b\u0432\u043e\u0434\u044b<\/h2>\n<ul>\n<li>\u0411\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0443 \u0432\u044b\u0437\u044b\u0432\u0430\u0435\u0442 \u0432\u0430\u0448 \u043a\u043e\u0434, \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a \u0432\u044b\u0437\u044b\u0432\u0430\u0435\u0442 \u0432\u0430\u0448 \u043a\u043e\u0434 \u0441\u0430\u043c; \u043c\u043e\u0434\u0443\u043b\u0438 \u0441\u0442\u0430\u043d\u0434\u0430\u0440\u0442\u043d\u043e\u0439 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 (asyncio, tkinter, json) \u0441\u0442\u0430\u0432\u0438\u0442\u044c \u043d\u0435 \u043d\u0443\u0436\u043d\u043e.<\/li>\n<li>\u0414\u0435\u0441\u044f\u0442\u044c \u0441\u0430\u043c\u044b\u0445 \u0445\u043e\u0434\u043e\u0432\u044b\u0445 \u0441\u0442\u043e\u0440\u043e\u043d\u043d\u0438\u0445 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a \u0437\u0430\u043a\u0440\u044b\u0432\u0430\u044e\u0442 \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u0435 \u0437\u0430\u0434\u0430\u0447\u0438: HTTP, \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u044f, \u0442\u0430\u0431\u043b\u0438\u0446\u044b, \u0433\u0440\u0430\u0444\u0438\u043a\u0438, \u0432\u0435\u0431, \u0442\u0435\u0441\u0442\u044b, \u0411\u0414, \u043f\u0430\u0440\u0441\u0438\u043d\u0433 HTML, \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f \u0438 ML.<\/li>\n<li>\u0418\u043c\u044f \u0432 <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<\/code> \u0438 \u0432 <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\">import<\/code> \u043c\u043e\u0436\u0435\u0442 \u043e\u0442\u043b\u0438\u0447\u0430\u0442\u044c\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\">beautifulsoup4<\/code> -&gt; <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\">bs4<\/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\">pillow<\/code> -&gt; <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\">PIL<\/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\">scikit-learn<\/code> -&gt; <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\">sklearn<\/code>.<\/li>\n<li>\u0421\u0442\u0430\u0432\u0438\u0442\u044c \u043f\u0430\u043a\u0435\u0442\u044b \u0432 \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u044c\u043d\u043e\u0435 \u043e\u043a\u0440\u0443\u0436\u0435\u043d\u0438\u0435 \u0447\u0435\u0440\u0435\u0437 <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 pip<\/code> \u0438 \u0444\u0438\u043a\u0441\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0432\u0435\u0440\u0441\u0438\u0438.<\/li>\n<li>\u0423 \u0441\u0435\u0442\u0435\u0432\u044b\u0445 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u0432\u0441\u0435\u0433\u0434\u0430 \u0437\u0430\u0434\u0430\u0432\u0430\u0442\u044c <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\">timeout<\/code>, \u043f\u0440\u043e\u0432\u0435\u0440\u043a\u0443 \u0441\u0435\u0440\u0442\u0438\u0444\u0438\u043a\u0430\u0442\u043e\u0432 \u043d\u0435 \u043e\u0442\u043a\u043b\u044e\u0447\u0430\u0442\u044c, \u0447\u0443\u0436\u0438\u0435 pickle-\u0444\u0430\u0439\u043b\u044b \u043d\u0435 \u0437\u0430\u0433\u0440\u0443\u0436\u0430\u0442\u044c.<\/li>\n<\/ul>\n<h2 id=\"s12\">\u0413\u0434\u0435 \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u0442\u0441\u044f \/ \u0441\u0432\u044f\u0437\u044c \u0441 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u043e\u0439<\/h2>\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>\u0418\u0437 \u044d\u0442\u0438\u0445 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a \u0441\u043a\u043b\u0430\u0434\u044b\u0432\u0430\u0435\u0442\u0441\u044f \u0431\u043e\u043b\u044c\u0448\u0430\u044f \u0447\u0430\u0441\u0442\u044c \u0443\u0447\u0435\u0431\u043d\u044b\u0445 \u0438 \u0440\u0430\u0431\u043e\u0447\u0438\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432 \u043d\u0430 Python: \u0441\u043a\u0440\u0438\u043f\u0442, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0437\u0430\u0431\u0438\u0440\u0430\u0435\u0442 \u0434\u0430\u043d\u043d\u044b\u0435 \u043f\u043e API, \u0447\u0438\u0441\u0442\u0438\u0442 \u0438\u0445 \u0432 pandas \u0438 \u0441\u0442\u0440\u043e\u0438\u0442 \u043e\u0442\u0447\u0435\u0442, \u0438\u043b\u0438 \u043d\u0435\u0431\u043e\u043b\u044c\u0448\u043e\u0439 \u0441\u0435\u0440\u0432\u0438\u0441 \u043d\u0430 FastAPI \u0441 \u0442\u0435\u0441\u0442\u0430\u043c\u0438 \u043d\u0430 pytest. \u0427\u0442\u043e\u0431\u044b \u0443\u0432\u0435\u0440\u0435\u043d\u043d\u043e \u0441\u043e\u0431\u0438\u0440\u0430\u0442\u044c \u0442\u0430\u043a\u0438\u0435 \u043f\u0440\u043e\u0435\u043a\u0442\u044b, \u0441\u043d\u0430\u0447\u0430\u043b\u0430 \u043d\u0443\u0436\u0435\u043d \u043f\u0440\u043e\u0447\u043d\u044b\u0439 \u0444\u0443\u043d\u0434\u0430\u043c\u0435\u043d\u0442 \u044f\u0437\u044b\u043a\u0430: \u0442\u0438\u043f\u044b, \u0444\u0443\u043d\u043a\u0446\u0438\u0438, \u043a\u043b\u0430\u0441\u0441\u044b, \u0438\u0441\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u044f, \u0440\u0430\u0431\u043e\u0442\u0430 \u0441 \u043f\u0430\u043a\u0435\u0442\u0430\u043c\u0438 \u0438 \u043e\u043a\u0440\u0443\u0436\u0435\u043d\u0438\u044f\u043c\u0438. \u0415\u0433\u043e \u0441\u0438\u0441\u0442\u0435\u043c\u043d\u043e \u0434\u0430\u0435\u0442 \u043a\u0443\u0440\u0441 <a href=\"https:\/\/otus.ru\/lessons\/python-basic\/?int_article=10-bibliotek-dlya-python&amp;int_place=article&amp;int_variant=v1\">Python Basic<\/a>.<\/p>\n<\/div>\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>\u041f\u043e\u043f\u0440\u043e\u0431\u043e\u0432\u0430\u0442\u044c \u0444\u043e\u0440\u043c\u0430\u0442 \u0438 \u0437\u0430\u0434\u0430\u0442\u044c \u0432\u043e\u043f\u0440\u043e\u0441\u044b \u043f\u0440\u0435\u043f\u043e\u0434\u0430\u0432\u0430\u0442\u0435\u043b\u044f\u043c \u043c\u043e\u0436\u043d\u043e \u043d\u0430 <a href=\"https:\/\/otus.ru\/events\/?int_article=10-bibliotek-dlya-python&amp;int_place=article&amp;int_variant=v1\">\u0431\u0435\u0441\u043f\u043b\u0430\u0442\u043d\u044b\u0445 \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u0445 \u0443\u0440\u043e\u043a\u0430\u0445<\/a>.<\/p>\n<\/div>\n<h2 id=\"s13\">FAQ<\/h2>\n<p><strong>\u0427\u0435\u043c NumPy \u043e\u0442\u043b\u0438\u0447\u0430\u0435\u0442\u0441\u044f \u043e\u0442 pandas?<\/strong><br \/>\nNumPy \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442 \u0441 \u043e\u0434\u043d\u043e\u0442\u0438\u043f\u043d\u044b\u043c\u0438 \u043c\u0430\u0441\u0441\u0438\u0432\u0430\u043c\u0438 \u0447\u0438\u0441\u0435\u043b \u0438 \u0431\u044b\u0441\u0442\u0440\u044b\u043c\u0438 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u044f\u043c\u0438 \u043d\u0430\u0434 \u043d\u0438\u043c\u0438. pandas \u0441\u0442\u0440\u043e\u0438\u0442\u0441\u044f \u043f\u043e\u0432\u0435\u0440\u0445 NumPy \u0438 \u0434\u043e\u0431\u0430\u0432\u043b\u044f\u0435\u0442 \u0442\u0430\u0431\u043b\u0438\u0446\u044b \u0441 \u043f\u043e\u0434\u043f\u0438\u0441\u0430\u043d\u043d\u044b\u043c\u0438 \u043a\u043e\u043b\u043e\u043d\u043a\u0430\u043c\u0438, \u0440\u0430\u0437\u043d\u044b\u043c\u0438 \u0442\u0438\u043f\u0430\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u0445, \u0447\u0442\u0435\u043d\u0438\u0435\u043c CSV \u0438 \u0433\u0440\u0443\u043f\u043f\u0438\u0440\u043e\u0432\u043a\u0430\u043c\u0438.<\/p>\n<p><strong>\u041d\u0443\u0436\u0435\u043d \u043b\u0438 Six \u0432 2026 \u0433\u043e\u0434\u0443?<\/strong><br \/>\n\u0414\u043b\u044f \u043d\u043e\u0432\u043e\u0433\u043e \u043a\u043e\u0434\u0430 \u043d\u0435\u0442: Six \u0440\u0435\u0448\u0430\u043b \u0441\u043e\u0432\u043c\u0435\u0441\u0442\u0438\u043c\u043e\u0441\u0442\u044c Python 2 \u0438 3, \u0430 Python 2 \u043d\u0435 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u0441 2020 \u0433\u043e\u0434\u0430. \u041e\u043d \u043c\u043e\u0436\u0435\u0442 \u0432\u0441\u0442\u0440\u0435\u0442\u0438\u0442\u044c\u0441\u044f \u0442\u043e\u043b\u044c\u043a\u043e \u043a\u0430\u043a \u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e\u0441\u0442\u044c \u0441\u0442\u0430\u0440\u044b\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432.<\/p>\n<p><strong>\u041a\u0430\u043a \u0443\u0437\u043d\u0430\u0442\u044c, \u043a\u0430\u043a\u0430\u044f \u0432\u0435\u0440\u0441\u0438\u044f \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043b\u0435\u043d\u0430?<\/strong><br \/>\n\u041a\u043e\u043c\u0430\u043d\u0434\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 pip show &lt;\u043f\u0430\u043a\u0435\u0442&gt;<\/code> \u0438\u043b\u0438 \u0432 \u043a\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\">print(&lt;\u043c\u043e\u0434\u0443\u043b\u044c&gt;.__version__)<\/code> \u0434\u043b\u044f \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043f\u0443\u0431\u043b\u0438\u043a\u0443\u044e\u0442 \u044d\u0442\u043e\u0442 \u0430\u0442\u0440\u0438\u0431\u0443\u0442 (requests, numpy, pandas).<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0411\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430 Python &#8212; \u044d\u0442\u043e \u043d\u0430\u0431\u043e\u0440 \u0433\u043e\u0442\u043e\u0432\u043e\u0433\u043e \u043a\u043e\u0434\u0430 (\u043c\u043e\u0434\u0443\u043b\u0435\u0439), \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0432\u044b \u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0430\u0435\u0442\u0435 \u0447\u0435\u0440\u0435\u0437 import \u0438 \u0432\u044b\u0437\u044b\u0432\u0430\u0435\u0442\u0435 \u0438\u0437 \u0441\u0432\u043e\u0435\u0439 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u044b, \u0447\u0442\u043e\u0431\u044b \u043d\u0435 \u043f\u0438\u0441\u0430\u0442\u044c \u0441 \u043d\u0443\u043b\u044f HTTP-\u0437\u0430\u043f\u0440\u043e\u0441\u044b, \u0440\u0430\u0437\u0431\u043e\u0440 \u0442\u0430\u0431\u043b\u0438\u0446 \u0438\u043b\u0438 \u0433\u0440\u0430\u0444\u0438\u043a\u0438. \u041d\u0438\u0436\u0435 &#8212; \u0434\u0435\u0441\u044f\u0442\u044c \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0447\u0430\u0449\u0435 \u0432\u0441\u0435\u0433\u043e \u0432\u0441\u0442\u0440\u0435\u0447\u0430\u044e\u0442\u0441\u044f \u0432 \u0432\u0430\u043a\u0430\u043d\u0441\u0438\u044f\u0445 \u0438 \u0443\u0447\u0435\u0431\u043d\u044b\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u0430\u0445, \u0442\u0430\u0431\u043b\u0438\u0446\u0430 \u00ab\u0437\u0430\u0434\u0430\u0447\u0430 &#8212; \u0447\u0442\u043e \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c &#8212; \u043a\u0430\u043a \u0438\u043c\u043f\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c\u00bb, \u043e\u0434\u0438\u043d \u0441\u043a\u0432\u043e\u0437\u043d\u043e\u0439 \u043f\u0440\u0438\u043c\u0435\u0440 \u043d\u0430 \u0447\u0435\u0442\u044b\u0440\u0435\u0445 \u0438\u0437 [&hellip;]<\/p>\n","protected":false},"author":11,"featured_media":582,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[27],"class_list":["post-580","post","type-post","status-publish","format-standard","has-post-thumbnail","","category-polza","tag-python"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2 - aioseo.com -->\n\t<meta name=\"description\" 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