diff --git a/README.md b/README.md
index 7c011d52..041b1b9f 100644
--- a/README.md
+++ b/README.md
@@ -1,16 +1,4 @@
-# Улучшения репозитория
-- Улучшен [ишьюс ревью](https://github.com/SENATOROVAI/intro/issues/5), [обновлены пункты 1.7, 3.2](https://github.com/SENATOROVAI/intro/issues/13), спасибо [rizespbya](https://github.com/rizespbya)
-- Улучшен [ишьюс ревью](https://github.com/SENATOROVAI/intro/issues/5), [обновлены пункты 5.5-5.6](https://github.com/SENATOROVAI/intro/issues/12), спасибо [lessWronger](https://github.com/lessWronger) 
-- Синхронизирован линтер pre-commit,  [пул реквест](https://github.com/SENATOROVAI/Data-Science-For-Beginners-from-scratch-SENATOROV/pull/474), спасибо [rizespbya](https://github.com/rizespbya)
-- Улучшен [интро](https://github.com/SENATOROVAI/intro/blob/main/README.md),[обновлена структура](https://github.com/SENATOROVAI/intro/issues/10), спасибо [savemysoul382](https://github.com/savemysoul382)
-- Улучшен [ишьюс git](https://github.com/SENATOROVAI/intro-cs/issues/1), [обновлена структура](https://github.com/SENATOROVAI/intro-cs/issues/15), спасибо [savemysoul382](https://github.com/savemysoul382)
-- [Тестирование функционала](https://github.com/SENATOROVAI/intro/issues/11), спасибо [smrnvdn](https://github.com/smrnvdn)
-
-# Другие улучшения 
-- Опечатка в курсе по [множественной регрессии](https://stepik.org/lesson/1792642/step/10?auth=login&unit=1818331), некорректная формулировка, спасибо [rizespbya](https://github.com/rizespbya)
-- Опечатка в курсе по [множественной регрессии](https://stepik.org/lesson/1792746/step/1?unit=1818436), формула обратной матрицы, спасибо [rizespbya](https://github.com/rizespbya)
-- Улучшение курса [множественной регрессии](https://stepik.org/lesson/1792746/step/1?unit=1818436), внедрение хэлперов и курса академ. математики, спасибо [rizespbya](https://github.com/rizespbya)
-- Улучшение курса [простая регрессия](https://stepik.org/lesson/1734634/step/3?unit=1758544), внедрение лупы и доп. заданий python, спасибо [Jazzyflavor](https://github.com/Jazzyflavor) доп. акк [Jazzyflavor](https://github.com/J4zzyflavor)
-- Обновление интро,внедрение раздела о нас, договора, средства коммуникации, спасибо [ViktorVinogradov89](https://github.com/ViktorVinogradov89)
-- Улучшение курса [множественная регрессия](https://stepik.org/lesson/1792608/step/10?unit=1818297), внедрение Data Leakage, спасибо [smrnvdn](https://github.com/smrnvdn)
-- Улучшение курса [множественной регрессии](https://stepik.org/lesson/1792810/step/2?auth=login&unit=1818500), внедрение логической связи вывода матричной формы SSE, спасибо [rizespbya](https://github.com/rizespbya)
+# Data-Science-For-Beginners-from-scratch-SENATOROV
+Командный репозиторий.
+https://t.me/RuslanSenatorov
+https://t.me/SENATOROVAI
diff --git a/git/stash.ipynb b/git/stash.ipynb
new file mode 100644
index 00000000..df26c517
--- /dev/null
+++ b/git/stash.ipynb
@@ -0,0 +1,114 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "5997c1c6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Stash.'"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\"\"\"Stash.\"\"\""
+   ]
+  },
+  {
+   "attachments": {
+    "image-2.png": {
+     "image/png": 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"
+    },
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"
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"
+    }
+   },
+   "cell_type": "markdown",
+   "id": "33aaeb6f",
+   "metadata": {},
+   "source": [
+    "1. Что делает команда git stash?  \n",
+    "Сохраняет изменения в рабочем каталоге и индексе в буферобмена\n",
+    "\n",
+    "2. Как просмотреть список всех сохранённых изменений (стэшей)?  \n",
+    "С помощью команды `git stash list`  \n",
+    "\n",
+    "3. Какая команда применяется для использования верхнего стэша?  \n",
+    "`git stash apply`  \n",
+    "\n",
+    "4. Как применить конкретный стэш по его номеру?  \n",
+    "`git stash apply <номер_конкретного_стеша>`  \n",
+    "\n",
+    "5. Чем отличается команда git stash apply от git stash pop?  \n",
+    "`git stash apply` применяет изменения из стэша, но оставляет их в стэше  \n",
+    "`git stash pop` применяет изменения и удаляет их из стэша  \n",
+    "\n",
+    "6. Что делает команда git stash drop?  \n",
+    "Удаляет последний стеш из общего списка  \n",
+    "\n",
+    "7. Как полностью очистить все сохранённые стэши?  \n",
+    "С помощью команды `git stash clear`  \n",
+    "\n",
+    "8. В каких случаях удобно использовать git stash?  \n",
+    "Если необходимо отложить текущие изменения, например, для выполнения pull или merge без конфликта слияния  \n",
+    "\n",
+    "9. Что произойдёт, если выполнить git stash pop, но в проекте есть конфликтующие изменения?  \n",
+    "Произойдет конфликт слияний, который нужно будет разрешить вручную  \n",
+    "\n",
+    "10. Можно ли восстановить удалённый стэш после выполнения git stash drop?  \n",
+    "Git не предоставляет встроенной функции для восстановления стэша  \n",
+    "Однако, если стэш был удалён недавно, то можно попробовать использовать команду `git fsck` или `git reflog`  \n",
+    "\n",
+    "11. Что делает команда git stash save \"NAME_STASH\"  \n",
+    "Сохраняет изменения в стэш, добавляя к ним пользовательское имя  \n",
+    "\n",
+    "12. Что делает команда git stash apply \"NUMBER_STASH\"  \n",
+    "Применяет изменения из конкретного сохранённого стэша в рабочую директорию  \n",
+    "\n",
+    "13. Что делает команда git stash pop \"NUMBER_STASH\"  \n",
+    "Применяет изменения из конкретного сохранённого стэша и удаляет этот стэш из списка  \n",
+    "\n",
+    "14. Сохраните текущие изменения в стэш под названием \"SENATOROV ver1\", вставьте скриншот из терминала  \n",
+    "![image.png](attachment:image.png)  \n",
+    "\n",
+    "15. Внесите любые изменения в ваш репозиторий и сохраните второй стэш под именем \"SENATOROV ver2\"  \n",
+    "\n",
+    "16. Восстановите ваш стэш \"SENATOROV ver1\", вставьте скриншот из терминала  \n",
+    "![image-2.png](attachment:image-2.png)  \n",
+    "17. Удалите все стеши из истории, вставьте скриншот из терминала  \n",
+    "![image-3.png](attachment:image-3.png)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/git/stash.py b/git/stash.py
new file mode 100644
index 00000000..307f15dd
--- /dev/null
+++ b/git/stash.py
@@ -0,0 +1,53 @@
+# %%
+"""Stash."""
+
+# 1. Что делает команда git stash?
+# Сохраняет изменения в рабочем каталоге и индексе в буферобмена
+#
+# 2. Как просмотреть список всех сохранённых изменений (стэшей)?
+# С помощью команды `git stash list`
+#
+# 3. Какая команда применяется для использования верхнего стэша?
+# `git stash apply`
+#
+# 4. Как применить конкретный стэш по его номеру?
+# `git stash apply <номер_конкретного_стеша>`
+#
+# 5. Чем отличается команда git stash apply от git stash pop?
+# `git stash apply` применяет изменения из стэша, но оставляет их в стэше
+# `git stash pop` применяет изменения и удаляет их из стэша
+#
+# 6. Что делает команда git stash drop?
+# Удаляет последний стеш из общего списка
+#
+# 7. Как полностью очистить все сохранённые стэши?
+# С помощью команды `git stash clear`
+#
+# 8. В каких случаях удобно использовать git stash?
+# Если необходимо отложить текущие изменения, например, для выполнения pull или merge без конфликта слияния
+#
+# 9. Что произойдёт, если выполнить git stash pop, но в проекте есть конфликтующие изменения?
+# Произойдет конфликт слияний, который нужно будет разрешить вручную
+#
+# 10. Можно ли восстановить удалённый стэш после выполнения git stash drop?
+# Git не предоставляет встроенной функции для восстановления стэша
+# Однако, если стэш был удалён недавно, то можно попробовать использовать команду `git fsck` или `git reflog`
+#
+# 11. Что делает команда git stash save "NAME_STASH"
+# Сохраняет изменения в стэш, добавляя к ним пользовательское имя
+#
+# 12. Что делает команда git stash apply "NUMBER_STASH"
+# Применяет изменения из конкретного сохранённого стэша в рабочую директорию
+#
+# 13. Что делает команда git stash pop "NUMBER_STASH"
+# Применяет изменения из конкретного сохранённого стэша и удаляет этот стэш из списка
+#
+# 14. Сохраните текущие изменения в стэш под названием "SENATOROV ver1", вставьте скриншот из терминала
+# ![image.png](attachment:image.png)
+#
+# 15. Внесите любые изменения в ваш репозиторий и сохраните второй стэш под именем "SENATOROV ver2"
+#
+# 16. Восстановите ваш стэш "SENATOROV ver1", вставьте скриншот из терминала
+# ![image-2.png](attachment:image-2.png)
+# 17. Удалите все стеши из истории, вставьте скриншот из терминала
+# ![image-3.png](attachment:image-3.png)
diff --git a/log.ipynb b/log.ipynb
new file mode 100644
index 00000000..b0840a8c
--- /dev/null
+++ b/log.ipynb
@@ -0,0 +1,65 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dd08da49",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\"\"\"Логирование уроков.\"\"\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "32f9de7a",
+   "metadata": {},
+   "source": [
+    "07/09\n",
+    "\n",
+    "1) Заполнял интро"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "074b6891",
+   "metadata": {},
+   "source": [
+    "22.09.2025\n",
+    "\n",
+    "1) Выполнил 1 и 2 квиз\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e6c43b7e",
+   "metadata": {},
+   "source": [
+    "22.10.2025\n",
+    "\n",
+    "1) Выполнил ишьюс Cpython\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/log.py b/log.py
new file mode 100644
index 00000000..5fa80f9c
--- /dev/null
+++ b/log.py
@@ -0,0 +1,3 @@
+# 07/09
+#
+# 1) Заполнял интро
diff --git a/python/commits.ipynb b/python/commits.ipynb
new file mode 100644
index 00000000..1f0125e4
--- /dev/null
+++ b/python/commits.ipynb
@@ -0,0 +1,81 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "cb266a54",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Commits.'"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\"\"\"Commits.\"\"\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5ff91afa",
+   "metadata": {},
+   "source": [
+    "1. Опишите своими словами назначение каждого из этих типов коммитов:  \n",
+    "`feat` - коммит добавляет новый функционал в код;  \n",
+    "`fix` - коммит исправляет баг в коде;  \n",
+    "`docs` - коммит связан с обновлением или исправлением документации;  \n",
+    "`style` - коммит для изменения стиля кода;  \n",
+    "`refactor` - коммит для изменения структуры кода без добавления новых функций или исправления багов;  \n",
+    "`test` - коммит для добавления или изменения тестового кода;  \n",
+    "`build` - коммит влияющий на процесс сборки проекта;  \n",
+    "`ci` - коммит для изменений, связанных с непрерывной интеграцией;  \n",
+    "`perf` - коммит для улучшения производительности кода;  \n",
+    "`chore` - коммит для вспомогательных или рутинных задач, не связанных напрямую с функциональностью или исправлением ошибок.  \n",
+    "\n",
+    "2. Представьте, что вы исправили баг в функции, которая некорректно округляет числа. Сделайте фиктивный коммит и напишите для него сообщение в соответствии с Conventional Commits (используя тип fix).  \n",
+    "`git commit -m 'fix: added correct number rounding'`\n",
+    "\n",
+    "3. Добавление новой функциональности:\n",
+    "Допустим, вы реализовали новую функцию generateReport в проекте. Сделайте фиктивный коммит с типом feat, отражающий добавление этой функциональности  \n",
+    "`git commit -m 'feat: add generatereport function'`  \n",
+    "\n",
+    "4. Модификация формата кода или стилей:\n",
+    "Представьте, что вы поправили отступы и форматирование во всём проекте, не меняя логики кода. Сделайте фиктивный коммит с типом style  \n",
+    "`git commit -m 'style: fixed indentation and formatting'`  \n",
+    "\n",
+    "5. Документация и тестирование:\n",
+    "Сделайте фиктивный коммит с типом docs, добавляющий или улучшающий документацию для вашей новой функции.  \n",
+    "`git commit -m 'docs: add documentation for generatereport function'`  \n",
+    "Сделайте фиктивный коммит с типом test, добавляющий тесты для этой же функции.  \n",
+    "`git commit -m 'test: add tests for generatereport function'` "
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/python/commits.py b/python/commits.py
new file mode 100644
index 00000000..3122fcee
--- /dev/null
+++ b/python/commits.py
@@ -0,0 +1,30 @@
+"""Commits."""
+
+# 1. Опишите своими словами назначение каждого из этих типов коммитов:
+# `feat` - коммит добавляет новый функционал в код;
+# `fix` - коммит исправляет баг в коде;
+# `docs` - коммит связан с обновлением или исправлением документации;
+# `style` - коммит для изменения стиля кода;
+# `refactor` - коммит для изменения структуры кода без добавления новых \функций или исправления багов;
+# `test` - коммит для добавления или изменения тестового кода;
+# `build` - коммит влияющий на процесс сборки проекта;
+# `ci` - коммит для изменений, связанных с непрерывной интеграцией;
+# `perf` - коммит для улучшения производительности кода;
+# `chore` - коммит для вспомогательных или рутинных задач, не связанных \напрямую с функциональностью или исправлением ошибок.
+#
+# 2. Представьте, что вы исправили баг в функции, которая некорректно округляет числа. Сделайте фиктивный коммит и напишите для него сообщение в соответствии с Conventional Commits (используя тип fix).
+# `git commit -m 'fix: added correct number rounding'`
+#
+# 3. Добавление новой функциональности:
+# Допустим, вы реализовали новую функцию generateReport в проекте. Сделайте \фиктивный коммит с типом feat, отражающий добавление этой функциональности
+# `git commit -m 'feat: add generatereport function'`
+#
+# 4. Модификация формата кода или стилей:
+# Представьте, что вы поправили отступы и форматирование во всём проекте, не \меняя логики кода. Сделайте фиктивный коммит с типом style
+# `git commit -m 'style: fixed indentation and formatting'`
+#
+# 5. Документация и тестирование:
+# Сделайте фиктивный коммит с типом docs, добавляющий или улучшающий \документацию для вашей новой функции.
+# `git commit -m 'docs: add documentation for generatereport function'`
+# Сделайте фиктивный коммит с типом test, добавляющий тесты для этой же \функции.
+# `git commit -m 'test: add tests for generatereport function'`
diff --git a/python/cpython.ipynb b/python/cpython.ipynb
new file mode 100644
index 00000000..b9967e0e
--- /dev/null
+++ b/python/cpython.ipynb
@@ -0,0 +1,196 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "806e65ed",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\"\"\"Cpython.\"\"\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4f41c317",
+   "metadata": {},
+   "source": [
+    "1. Что такое CPython и чем он отличается от Python?  \n",
+    "CPython это одна из реализаций языка программирования Python, написанная на языке C. Отличие Python от СPython в том, что Python это язык программирования, а CPython это одна из его реализаций\n",
+    "\n",
+    "3. Сколько существует реализаций Python, и какая из них самая популярная?  \n",
+    "6 реализаций, CPython является самой популярной.\n",
+    "\n",
+    "4. На каком языке написан CPython?  \n",
+    "CPython написан на языке C.\n",
+    "\n",
+    "5. (опционально) Кто создал CPython?  \n",
+    "Создатель Гвидо ван Россум\n",
+    "\n",
+    "6. Почему Python считается быстрым, несмотря на то, что это интерпретируемый язык?  \n",
+    "Из-за использования оптимизированных библиотек на C, перевод кода в байт-код.\n",
+    "\n",
+    "7. Напишите путь к Интерпретатору CPython на вашем компьютере  \n",
+    "C:\\Users\\movch\\AppData\\Local\\Programs\\Python\\Python311\\python.exe\n",
+    "\n",
+    "8. Что содержится в папке include в CPython?  \n",
+    "В папке include содержатся заголовочные файлы, которые необходимы для разработки расширений, создания Python-модулей на C, а также для интеграции Python с другими приложениями на C.\n",
+    "\n",
+    "9. Где можно найти исходный код CPython дайте ссылку на репозиторий гитхаб  \n",
+    "https://github.com/python/cpython\n",
+    "\n",
+    "10. (опционально) Как работает интерпретатор CPython при выполнении кода?  \n",
+    "При запуске кода интерпретатор сначала читает исходный код Python и выполняет его парсинг. Далее CPython компилирует программу в байт-код. Затем виртуальная машина Python выполняет байт-код, интерпретируя его и преобразуя в машинные инструкции, которые может понять процессор\n",
+    "\n",
+    "11. Какая команда используется для запуска файла с помощью CPython?  \n",
+    "python <путь_до_файла>.\n",
+    "\n",
+    "12. Можно ли запускать текстовые файлы через интерпретатор Python? Почему?  \n",
+    "Можно, так как интерпретатору неважно какое расширение файла\n",
+    "\n",
+    "13. Как указать путь к интерпретатору и файлу для выполнения кода?  \n",
+    "Сначала указываем путь к интерпретатору, затем через пробел указываем путь к файлу\n",
+    "\n",
+    "14. Чем PyPy отличается от CPython?  \n",
+    "CPython является интерпретатором, который выполняет байт-код Python с помощью виртуальной машины Python.\n",
+    "PyPy использует JIT-компиляцию (во время выполнения анализирует код, оптимизирует его и компилирует в машинный код)\n",
+    "\n",
+    "15. Почему PyPy не может использоваться для всех проектов на Python?  \n",
+    "PyPy новая реализация и пока не совместима со всеми проектами зависящими от C-расширений и сторонними библиотеками\n",
+    "\n",
+    "16. Где можно скачать PyPy?  \n",
+    "https://pypy.org/\n",
+    "\n",
+    "17. Как установить PyPy после скачивания?  \n",
+    "Распаковать скаченный архив и добавить путь к интерпретатору PyPy в переменных средах\n",
+    "\n",
+    "18. Как запустить файл с помощью PyPy?  \n",
+    "Сначала указываем путь к интерпретатору, затем через пробел указываем путь к файлу \n",
+    "\n",
+    "19. Почему PyPy выполняет код быстрее, чем CPython?  \n",
+    "PyPy выполняет код быстрее, чем CPython, благодаря использованию JIT-компиляции"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8458dbf1",
+   "metadata": {},
+   "source": [
+    "## Практические задания"
+   ]
+  },
+  {
+   "attachments": {
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+    }
+   },
+   "cell_type": "markdown",
+   "id": "ecf604cc",
+   "metadata": {},
+   "source": [
+    "Задание 1: Поиск и установка CPython\n",
+    "\n",
+    "Проверьте, установлен ли CPython на вашем компьютере:\n",
+    "    Используйте поиск в меню \"Пуск\" (Windows) или терминале (Linux/Mac).\n",
+    "    Введите команду python --version или python3 --version в терминале.\n",
+    "Если CPython не установлен, скачайте его с официального сайта Python https://www.python.org/downloads/ и установите.  \n",
+    "![image.png](attachment:image.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0ab22cba",
+   "metadata": {},
+   "source": [
+    "Задание 2: Исследование структуры CPython\n",
+    "\n",
+    "Найдите папку, где установлен Python (например, через команду which python в терминале или свойства ярлыка).\n",
+    "Откройте папку include и изучите её содержимое. Какое количество файлов на C там есть? (73 файла на языке С)\n",
+    "Перейдите на [GitHub-репозиторий CPython](https://github.com/python/cpython) и найдите файл README. Прочитайте информацию о проекте."
+   ]
+  },
+  {
+   "attachments": {
+    "image-2.png": {
+     "image/png": 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"
+    },
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"
+    },
+    "image.png": {
+     "image/png": 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"
+    }
+   },
+   "cell_type": "markdown",
+   "id": "24cfd5ad",
+   "metadata": {},
+   "source": [
+    "Задание 3: Запуск файла с помощью CPython\n",
+    "\n",
+    "Создайте текстовый файл example.txt с содержимым:\n",
+    "print(\"Hello from CPython!\")  \n",
+    "![image.png](attachment:image.png)  \n",
+    "Запустите файл через команду python <путь_до_файла> (замените <путь_до_файла> на фактический путь к вашему файлу). Проверьте, что выводится на экран.  \n",
+    "![image-2.png](attachment:image-2.png)  \n",
+    "Попробуйте изменить расширение файла на .py и повторите запуск.  \n",
+    "![image-3.png](attachment:image-3.png)"
+   ]
+  },
+  {
+   "attachments": {
+    "image-2.png": {
+     "image/png": 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+    }
+   },
+   "cell_type": "markdown",
+   "id": "83251cd3",
+   "metadata": {},
+   "source": [
+    "Задание 4: Установка и использование PyPy\n",
+    "\n",
+    "Перейдите на [официальный сайт PyPy](https://www.pypy.org/) и скачайте подходящую версию для вашей операционной системы.\n",
+    "Распакуйте скачанный архив в удобное место.\n",
+    "Создайте файл example_pypy.py с кодом: print(\"Hello from pypy!\")  \n",
+    "![image.png](attachment:image.png)  \n",
+    "Запустите файл через PyPy\n",
+    "pypy <путь_до_файла> (замените <путь_до_файла> на фактический путь к вашему файлу).\n",
+    "Проверьте, что выводится на экран. Попробуйте изменить расширение файла на .py и повторите запуск.\n",
+    "![image-2.png](attachment:image-2.png)"
+   ]
+  },
+  {
+   "attachments": {
+    "image-2.png": {
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"
+    }
+   },
+   "cell_type": "markdown",
+   "id": "612fd4d4",
+   "metadata": {},
+   "source": [
+    "Задание 5: Сравнение производительности CPython и PyPy\n",
+    "Создайте файл performance_test.py с кодом:  \n",
+    "![image.png](attachment:image.png)  \n",
+    "Запустите этот файл сначала через CPython, а затем через PyPy. Запишите результаты времени выполнения для обоих интерпретаторов.  \n",
+    "![image-2.png](attachment:image-2.png)  \n",
+    "Сделайте вывод о разнице в производительности.  \n",
+    "\n",
+    "PyPy значительно быстрее CPython в данном тесте. Время выполнения кода через PyPy составило всего 0.041 секунды, в то время как через CPython 1.819 секунды. Причина такого большого различия в производительности заключается в том, что PyPy использует JIT-компиляцию, которая позволяет ускорить выполнение кода, преобразуя часто исполняемые участки в машинный код, что значительно ускоряет выполнение вычислительных операций. CPython, в свою очередь, является интерпретатором и не использует JIT, что делает его медленнее для вычислительно интенсивных задач."
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/python/cpython.py b/python/cpython.py
new file mode 100644
index 00000000..e69de29b
diff --git a/python/issues.ipynb b/python/issues.ipynb
new file mode 100644
index 00000000..ed2626cc
--- /dev/null
+++ b/python/issues.ipynb
@@ -0,0 +1,185 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "6f614286",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'issues.'"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\"\"\"issues.\"\"\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f658414e",
+   "metadata": {},
+   "source": [
+    "Общие вопросы  \n",
+    "1. Что такое Issues на GitHub и для чего они используются?  \n",
+    "Issues это инструмент для отслеживания задач, ошибок, предложений по улучшению и других важных событий, связанных с проектом  \n",
+    "\n",
+    "2. Чем Issues отличаются от других инструментов управления задачами?  \n",
+    "Issues отличается от других инструментов управления задачами тем, что они тесно интегрированы с репозиторием кода и процессом разработки  \n",
+    "\n",
+    "3. Какие основные компоненты (поля) есть у каждого Issue?  \n",
+    "Заголовок, описание, метки, ответственные, milestones, комментарии, статус  \n",
+    "\n",
+    "4. Как создать новое Issue в репозитории?  \n",
+    "В верхней части страницы репозитория нажать на вкладку \"Issues\"  \n",
+    "На странице Issues нажать на кнопку \"New Issue\"  \n",
+    "Ввести заголовок для Issue  \n",
+    "В поле \"Description\" добавить подробности задачи или проблемы  \n",
+    "Если нужно можно добавить Labels, Assignees и Milestones  \n",
+    "Когда все поля будут заполнены, нажать \"Submit new issue\"  \n",
+    "\n",
+    "5. Какие данные рекомендуется указывать в описании Issue для лучшего понимания задачи?  \n",
+    "Подробное описание проблемы или задачи  \n",
+    "Шаги для воспроизведения ошибки  \n",
+    "Ожидаемый результат  \n",
+    "Текущий результат  \n",
+    "\n",
+    "6. Какие теги (labels) можно добавить к Issue? Какие из них стандартные?  \n",
+    "Стандартные: bug, documentation, duplicate, enhancement, good first issue, help wanted, invalid, question, wontfix  \n",
+    "Также можно создавать собственные метки  \n",
+    "\n",
+    "7. Как прикрепить Assignees (ответственных) к Issue?  \n",
+    "Нажать на значок редактирования рядом с Assignees  \n",
+    "В появившемся окне выбрать пользователя  \n",
+    "\n",
+    "8. Как использовать Labels для классификации задач?  \n",
+    "На правой панели, рядом с метками, нажать на \"Labels\"  \n",
+    "В открывшемся окне будет список доступных меток (например: bug, enhancement, documentation)  \n",
+    "Если в списке нет нужной метки, то можно добавить свою собственную метку  \n",
+    "\n",
+    "9. Для чего нужен Milestone, и как связать его с Issue?  \n",
+    "Milestone позволяет создавать дедлайны для проектов  \n",
+    "Чтобы связать его с Issue необходимо в правой части экрана нажать Milestone и выбрать необходимый или создать новый  \n",
+    "\n",
+    "10. Как привязать Issue к пул-реквесту (Pull Request)?  \n",
+    "Чтобы привязать Issue к пул-реквесту нужно в названии указать название Issue, а также в описании написать Closes и указать ссылку на Issue  \n",
+    "\n",
+    "11. Как добавить комментарий к существующему Issue?  \n",
+    "Прокрутить страницу Issues вниз до раздела \"Add a comment\"  \n",
+    "Ввести комментарий в текстовое поле  \n",
+    "После написания комментария нажать кнопку \"Comment\", чтобы отправить его  \n",
+    "\n",
+    "12. Как закрыть Issue вручную?  \n",
+    "Нажать на кнопку \"Close issue\"  \n",
+    "\n",
+    "13. Можно ли автоматически закрыть Issue с помощью сообщения в коммите или пул-реквесте? Как это сделать?  \n",
+    "Да, можно с помощью одной из специальных команд в сообщении коммита или пул-реквеста  \n",
+    "\"Fixes #номер_задачи\"  \n",
+    "\"Closes #номер_задачи\"  \n",
+    "\"Resolves #номер_задачи\"   \n",
+    "\n",
+    "14. Как повторно открыть закрытое Issue, если работа ещё не завершена?  \n",
+    "С помощью кнопки \"Reopen issue\"  \n",
+    "\n",
+    "15. Как найти все открытые или закрытые Issues в репозитории?  \n",
+    "На странице Issues, в верхней части, будут доступны фильтры:  \n",
+    "Open для отображения всех открытых задач  \n",
+    "Closed для отображения всех закрытых задач  \n",
+    "\n",
+    "16. Как использовать фильтры для поиска Issues по меткам, исполнителям или другим критериям?  \n",
+    "В верхней части страницы есть строка поиска, в которой можно вводить фильтры, например, `author:пользователь`  \n",
+    "\n",
+    "17. Как сортировать Issues по приоритету, дате создания или другим параметрам?  \n",
+    "В верхней части страницы Issues есть список фильтров Sort by  \n",
+    "Newest (по дате создания)    \n",
+    "Oldest (по старой дате)  \n",
+    "Most commented (по количеству комментариев)  \n",
+    "Least commented (по наименьшему количеству комментариев)  \n",
+    "\n",
+    "18. Как настроить автоматические уведомления о новых или изменённых Issues?  \n",
+    "Перейти на страницу репозитория  \n",
+    "В верхней части страницы нажать на кнопку \"Watch\" и выбрать какие уведомления получать: \n",
+    "All Activity (Все действия)  \n",
+    "Participating (Если вы участвуете)   \n",
+    "Releases Only (Только релизы)  \n",
+    "или Ignore (Игнорировать)  \n",
+    "\n",
+    "19. Что такое Projects в контексте GitHub, и как связать их с Issues?  \n",
+    "Projects это инструмент для организации работы над проектами внутри репозитория  \n",
+    "Для связи на странице нужного Issue перейти в правой боковой панели в раздел \"Projects\", нажать \"Add to Project\" и выбрать из списка необходимый или создать новый  \n",
+    "\n",
+    "20. Какие сторонние инструменты можно использовать для автоматизации работы с Issues (например, боты, Webhooks)?  \n",
+    "GitHub Actions позволяет автоматизировать рабочие процессы прямо в репозитории  \n",
+    "Webhooks позволяют отправлять уведомления о событиях в GitHub в другие внешние системы  \n",
+    "Bots специальные боты, которые могут автоматизировать различные действия  \n",
+    "Zapier для интеграции GitHub с другими приложениями  \n",
+    "\n",
+    "21. Как упомянуть другого пользователя в комментарии к Issue?  \n",
+    "С помощью \"@\" перед именем пользователя  \n",
+    "\n",
+    "22. Как запросить дополнительные данные или уточнения у автора Issue?  \n",
+    "Оставить комментарий с вопросом в Issue\n",
+    "\n",
+    "23. Что делать, если Issue неактуально или его нужно объединить с другим?  \n",
+    "Если Issue стал неактуальным, то закрыть его через \"Close issue\" и указать в комментарии причину  \n",
+    "Если Issues должны быть объединены, то можно:  \n",
+    "Закрыть один из Issues как дубликат и в комментарии указать, что это дубликат другого Issue  \n",
+    "Или использовать ссылки на другие Issues, чтобы объединить их обсуждения  \n",
+    "\n",
+    "24. Как использовать шаблоны для создания Issues?  \n",
+    "В разделе \"Settings\" репозитория, в левом меню, найти и выбрать \"Issues\"  \n",
+    "Внизу страницы есть раздел \"Issue templates\"  \n",
+    "Нажать на \"Set up templates\"  \n",
+    "GitHub предложит несколько стандартных шаблонов можно использовать их или создать собственный шаблон  \n",
+    "Чтобы создать собственный шаблон, нужно создать файл ISSUE_TEMPLATE.md в директории .github/ репозитория   \n",
+    "\n",
+    "25. Что такое Linked Issues, и как создать связь между задачами?  \n",
+    "Linked Issues позволяют установить взаимосвязь между разными Issues, чтобы показывать, что одна задача зависит от другой или имеет какое-то отношение к ней  \n",
+    "Как создать связь между задачами:  \n",
+    "Откройте нужный Issue, с которым необходимо создать связь  \n",
+    "В комментариях к этому Issue упомянуть другой Issue, используя его номер в формате #номер_задачи  \n",
+    "\n",
+    "26. Какие метрики (например, время выполнения) можно отслеживать с помощью Issues?  \n",
+    "Количество открытых/закрытых задач, время решения, активность участников  \n",
+    "\n",
+    "\n",
+    "27. Какие best practices рекомендуются при работе с Issues в команде?  \n",
+    "Использование шаблонов Issues  \n",
+    "Назначение ответственных  \n",
+    "Связывать Issues, если они зависят друг от друга, чтобы упростить отслеживание зависимостей  \n",
+    "Обновление статуса Issues и комментирование  \n",
+    "При закрытии Issue добавлять краткое резюме\n",
+    "Четкое описание задач  \n",
+    "Использование меток (Labels)  \n",
+    "Закрытие задач по завершению работы  "
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/python/issues.py b/python/issues.py
new file mode 100644
index 00000000..062c7e6d
--- /dev/null
+++ b/python/issues.py
@@ -0,0 +1,163 @@
+# %%
+"""issues."""
+
+# Общие вопросы
+# 1. Что такое Issues на GitHub и для чего они используются?
+# Issues это инструмент для отслеживания задач, ошибок, предложений по
+# улучшению и других важных событий, связанных с проектом
+#
+# 2. Чем Issues отличаются от других инструментов управления задачами?
+# Issues отличается от других инструментов управления задачами тем, что они
+# тесно интегрированы с репозиторием кода и процессом разработки
+#
+# 3. Какие основные компоненты (поля) есть у каждого Issue?
+# Заголовок, описание, метки, ответственные, milestones, комментарии, статус
+#
+# 4. Как создать новое Issue в репозитории?
+# В верхней части страницы репозитория нажать на вкладку "Issues"
+# На странице Issues нажать на кнопку "New Issue"
+# Ввести заголовок для Issue
+# В поле "Description" добавить подробности задачи или проблемы
+# Если нужно можно добавить Labels, Assignees и Milestones
+# Когда все поля будут заполнены, нажать "Submit new issue"
+#
+# 5. Какие данные рекомендуется указывать в описании Issue для лучшего
+# понимания задачи?
+# Подробное описание проблемы или задачи
+# Шаги для воспроизведения ошибки
+# Ожидаемый результат
+# Текущий результат
+#
+# 6. Какие теги (labels) можно добавить к Issue? Какие из них стандартные?
+# Стандартные: bug, documentation, duplicate, enhancement, good first issue,
+# help wanted, invalid, question, wontfix
+# Также можно создавать собственные метки
+#
+# 7. Как прикрепить Assignees (ответственных) к Issue?
+# Нажать на значок редактирования рядом с Assignees
+# В появившемся окне выбрать пользователя
+#
+# 8. Как использовать Labels для классификации задач?
+# На правой панели, рядом с метками, нажать на "Labels"
+# В открывшемся окне будет список доступных меток (например: bug, enhancement,
+# documentation)
+# Если в списке нет нужной метки, то можно добавить свою собственную метку
+#
+# 9. Для чего нужен Milestone, и как связать его с Issue?
+# Milestone позволяет создавать дедлайны для проектов
+# Чтобы связать его с Issue необходимо в правой части экрана нажать Milestone
+# и выбрать необходимый или создать новый
+#
+# 10. Как привязать Issue к пул-реквесту (Pull Request)?
+# Чтобы привязать Issue к пул-реквесту нужно в названии указать название
+# Issue, а также в описании написать Closes и указать ссылку на Issue
+#
+# 11. Как добавить комментарий к существующему Issue?
+# Прокрутить страницу Issues вниз до раздела "Add a comment"
+# Ввести комментарий в текстовое поле
+# После написания комментария нажать кнопку "Comment", чтобы отправить его
+#
+# 12. Как закрыть Issue вручную?
+# Нажать на кнопку "Close issue"
+#
+# 13. Можно ли автоматически закрыть Issue с помощью сообщения в коммите или
+# пул-реквесте? Как это сделать?
+# Да, можно с помощью одной из специальных команд в сообщении коммита или пул-
+# реквеста
+# "Fixes #номер_задачи"
+# "Closes #номер_задачи"
+# "Resolves #номер_задачи"
+#
+# 14. Как повторно открыть закрытое Issue, если работа ещё не завершена?
+# С помощью кнопки "Reopen issue"
+#
+# 15. Как найти все открытые или закрытые Issues в репозитории?
+# На странице Issues, в верхней части, будут доступны фильтры:
+# Open для отображения всех открытых задач
+# Closed для отображения всех закрытых задач
+#
+# 16. Как использовать фильтры для поиска Issues по меткам, исполнителям или
+# другим критериям?
+# В верхней части страницы есть строка поиска, в которой можно вводить
+# фильтры, например, `author:пользователь`
+#
+# 17. Как сортировать Issues по приоритету, дате создания или другим
+# параметрам?
+# В верхней части страницы Issues есть список фильтров Sort by
+# Newest (по дате создания)
+# Oldest (по старой дате)
+# Most commented (по количеству комментариев)
+# Least commented (по наименьшему количеству комментариев)
+#
+# 18. Как настроить автоматические уведомления о новых или изменённых Issues?
+# Перейти на страницу репозитория
+# В верхней части страницы нажать на кнопку "Watch" и выбрать какие
+# уведомления получать:
+# All Activity (Все действия)
+# Participating (Если вы участвуете)
+# Releases Only (Только релизы)
+# или Ignore (Игнорировать)
+#
+# 19. Что такое Projects в контексте GitHub, и как связать их с Issues?
+# Projects это инструмент для организации работы над проектами внутри
+# репозитория
+# Для связи на странице нужного Issue перейти в правой боковой панели в раздел
+# "Projects", нажать "Add to Project" и выбрать из списка необходимый или
+# создать новый
+#
+# 20. Какие сторонние инструменты можно использовать для автоматизации работы
+# с Issues (например, боты, Webhooks)?
+# GitHub Actions позволяет автоматизировать рабочие процессы прямо в
+# репозитории
+# Webhooks позволяют отправлять уведомления о событиях в GitHub в другие
+# внешние системы
+# Bots специальные боты, которые могут автоматизировать различные действия
+# Zapier для интеграции GitHub с другими приложениями
+#
+# 21. Как упомянуть другого пользователя в комментарии к Issue?
+# С помощью "@" перед именем пользователя
+#
+# 22. Как запросить дополнительные данные или уточнения у автора Issue?
+# Оставить комментарий с вопросом в Issue
+#
+# 23. Что делать, если Issue неактуально или его нужно объединить с другим?
+# Если Issue стал неактуальным, то закрыть его через "Close issue" и указать в
+# комментарии причину
+# Если Issues должны быть объединены, то можно:
+# Закрыть один из Issues как дубликат и в комментарии указать, что это
+# дубликат другого Issue
+# Или использовать ссылки на другие Issues, чтобы объединить их обсуждения
+#
+# 24. Как использовать шаблоны для создания Issues?
+# В разделе "Settings" репозитория, в левом меню, найти и выбрать "Issues"
+# Внизу страницы есть раздел "Issue templates"
+# Нажать на "Set up templates"
+# GitHub предложит несколько стандартных шаблонов можно использовать их или
+# создать собственный шаблон
+# Чтобы создать собственный шаблон, нужно создать файл ISSUE_TEMPLATE.md в
+# директории .github/ репозитория
+#
+# 25. Что такое Linked Issues, и как создать связь между задачами?
+# Linked Issues позволяют установить взаимосвязь между разными Issues, чтобы
+# показывать, что одна задача зависит от другой или имеет какое-то отношение к
+# ней
+# Как создать связь между задачами:
+# Откройте нужный Issue, с которым необходимо создать связь
+# В комментариях к этому Issue упомянуть другой Issue, используя его номер в
+# формате #номер_задачи
+#
+# 26. Какие метрики (например, время выполнения) можно отслеживать с помощью
+# Issues?
+# Количество открытых/закрытых задач, время решения, активность участников
+#
+#
+# 27. Какие best practices рекомендуются при работе с Issues в команде?
+# Использование шаблонов Issues
+# Назначение ответственных
+# Связывать Issues, если они зависят друг от друга, чтобы упростить
+# отслеживание зависимостей
+# Обновление статуса Issues и комментирование
+# При закрытии Issue добавлять краткое резюме
+# Четкое описание задач
+# Использование меток (Labels)
+# Закрытие задач по завершению работы
diff --git a/python/venv.ipynb b/python/venv.ipynb
new file mode 100644
index 00000000..a0d3272b
--- /dev/null
+++ b/python/venv.ipynb
@@ -0,0 +1,104 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "031fb6c3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\"\"\"Venv.\"\"\""
+   ]
+  },
+  {
+   "attachments": {
+    "image-2.png": {
+     "image/png": 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"
+    },
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"
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+JjiByZQ/dt/BiRWec9JUbvLrixrOyoL9vbrsrS8tPONXGVlXbrxIp4ceV3b5ZJP3Zqx+0tPcvkTMuzZU1554i9AFoetk1EM5yrUNRVqXGH69U8jzu6GlOZ73UnpLKTlWUo8qIeuykWNBe8FAeiPIsrcm3nrWTR03+tP9RP3f1fWujTY54ZgzimQStaHL1nsbTONhxWgY1PqHuz+wADe+eQ/VljO51Wz3PHlqfoUfC1ulvv2vv8Jf/9q8/vO/1day0hTXsSOk5k1UstohhUA/RYrHxew7Cp9JNAy0NdN0riR6Gwdh+4bsAJ5VhU5ro7s+ayk0iRad7KpWOtRP+3fdT9KKq00oX1H0QWXtQVp7mdgul/JMEuU6KV0mnRVWNfD6hc4gtPKl9977Vmny3CIHqC99bkDbJbUA0XLuL83etiGFP875Axa1nLahUW86bE9AJFa+ZD2Fys4cnud8j2cEDK1/pdBpasuIJq1yNr8rZuxWCkwqHdnothBHrSiF5CFZ/jT6jvFmq8+PCRPLe044g1NG1pVrz+n07GLf6UNuDA3RVml5r8/KGWRCUI4h1hdBlxgahLYxVDx5L9OXS8mxUunZW3AssOt4zXgjhLxcI+cYNehX95MTYvG/GZ9ywrG230TjwPMYF9VZaMsZ29pSoKfQzqud2lNInlOktpzJrWab78FnI3qLh1wfP6LvMrn3E4goq7OQbC6cFmEG4tw3DEHHDpKYN5GhtsMM3H5aMYS4mP3FEI1Ec3DHY6hRB4EJHcBsLyGwsoArGr4Jp4jD9YU1kxyKUcnqtPoDeaaGO8GpXsFvRn0xCLieBGp/qbXqgF4QuB0vsTUlCSGuFq18pakO55uYbbgXt/IuUecGdKauwBWhELXqUsaPQTn1JfIyUHEE68tN8wOYnbDOxiLQV33hahEqA6J12gfblSNezn2luVWGelIk8lB767jktA0DrtqafuuebaDz1V1U9WT9vrn9SK/8esq2WP/KJXiWhkOrnPUqJqa5yPlDWoGhGGMCtCYh5rDxBNWr/ENtniJ/Wn1H58eW29VqrEss7znhxCCOX4VkXbH2TEjP7vWdfuRGWVRcaHNQcaXzXnhiUIBi9dWPLjE0drltUPJepC+XkmOCQrIlTTldvQXmYXwGZsywHvFGkIsL4lvfXLVN/7qf7E+ol0jDUE44ZvvNrNxu5Nt2g7+rzmMsaFjGV9ujp9DTxlvJ1LlA+Aaxy5PhA6vlWUaTJxqvrM/h2tP34vefNN5Shq+8PzfW3yHZo8UQdOwgiXkTmXQ7zMbtpxVDiIvZVwzRSLQCC3cB5o07qb4Wu9vS/TJvTq3O71CvEbXDOwsv3YC05ZNm8TST1Xo/Jh5AuKxfw9pMs31y/QLchXkrHZ5ncKUK3XVF57KfwytL3lDiatHOFwl0MV7dEvIgHZc8e6QzARMd3zYrNblv1dfZl5n17uKvL2qaoxDrq3EYsJjk4lufcg5BRKQiocOQc3IchPS9q8hGy7mvNlaXoUgJ3HqAh7vi587ZPXICj2OD+BsDy2gbNaLfytVaDLup6KqzawQ5KxN666ncslWqfxGp8i3KBV+Nnd5+4emDMs3LsA51feNlD745baP21qrDcp+JIuoU31BU5U2+RVmf26BR9dRsG+rsuVib98ufVN9p5WfxGDzXWx5cYnnPCScMdfxKyzpSnRZrzwTZu5t9py+5MQBW2dZxWfVFyLtclHLCcZ/J6acDU6q++tIlhshutg1S3svoLaXkWKn0pMnT1e36Mle4HeJYILqH1DHQRiQHO/+Yb3ktUOhb9xP9yfYmyglHGbIQn6FrDq4IZar55rt+wdfSn5Gvnsfr8vE38OXk65bXjjrAWhA5sPrGxW+lxxG+st6E9/X9jDeO3XgtX2c/ebn+/c1zv8KjSetNZvuY8jp2mPi8iU68HSoG6ac2lLiYg8tvTp48+Q/99+FEr2g3XvF8EOB8MSF0GaLBQhqJtlcDSo0yIk1tUIwimeg00Awu+5TD3Fa5nzL7EtyuPivfpuieQYSH/0rvguU9MqowDHPgQS8dZYRpG4VaXP8Yvr55AuDF941X1DMMw5RgH5xJNGT0qkLfh/ONKpwvJoRZSdtDlKt/bIvbAeAwt1Xup8x+ZPqUfK+Wz61eHiTMMAwzIly/8DsY82xDYxiGKQF7EjEMs7vMqbNv8O0v7GXCMMzoEPAk0p5x8jDaPTvEmmGYgw7Zk+j2Kdi8fBQ2H30LF/f16dEMw4wqbCRiGGZXwHM88NXACBuIGIYZTbShSN8Z8KyRA7s1lmGYkSBlJFLfq7eVsYGIYZhhwkYihmEYhmEYhmEYhmEYhs8kYhiGYRiGYRiGYRiGYdhIxDAMwzAMwzAMwzAMwwjYSMQwDMMwDMMwDMMwDMOwkYhhGIZhGIZhGIZhGIY5bEYifPX24wdwa1rfHxT2Yb7wTVePH9+BOX3v5aDWlwFfq/z4cbocBuGgl+GoULqcd6NtEOB+WpARqVOmIIe9Tqv8m4vlwG5Cks8MMwj4qv3N38P96/p+VLj+MXy9eUak7RTc1h/tCVw+zAHmcBmJVl7CFnRg6vwB02I4X0wILsPdYdfLGV/T/RgejMKM7DDnnWEOK2ggWuxCZ2sVLl26pK+rsLSmv2cSsBxj9gE3XsMmHIHTF/5Zf3CweLJ5Br6+P0De9qB8Bk5zYUYtPUw5+n4F/tydxzA7oW8qerC+7CgJRpHQt95niOCqyWK3DgnE1GT10gKs6DsKMoypDVi+ugTtJOCgPQvj68tw1UmgzO/4euB3e088X6OHqsvtZP3R8qXqrW6O/bexMG4cmt7otgkDqQxb/VSxtXoJFnI62CGG2gdV2x9MjsVkVVKOTdDjK9NPS/edWN4LU3D8OnAEZAayF3KDrJMwRVCyAbh8+2ZwOUaVzyRSsg49RtsdTKL6ey3n3f7v1Z+r8OjxKOzn3bGlGVZ7rEV8MiEUzjTcerAI3U5ozNS/Q0NpAYF3/+szcG7sPTyafA039Gc2OBmf3Pw7TH5zFDYvH9WfNtl89C1cFD+Wz1r3httPzsDl42/gBZygxXXxF7h+//dw8/TP8OXnP8E9/X0L9Fy5eQLG9C3AB3jx5Q9wLfiD0QDzefzF9/D5tf/Tn+RDKp+ClEhzSUYtPUw5BvMkQiW/WkG6BKtbHeguWisjKOyVFmGtNN0FmM91j0VB/VgrJHV8ly69hLN38kJae7YBvU4Xrhww/9xDmy+51UUpWqZdLK+DbIeZTYNEr9GWl2EdurA44i72OW0DlTuZN1GIPf0ZQyNdzqhQBuTYg1tCyu1fKG1s3/WdYuPXwaaSGda1Z4Zlr07CW6CGxza8bky2mX1JhqxL9vdeD8Zn0uPZ3NkJEdg6rPccL9SVBStsMU6gIuLzViPrfmjgscNzZEI0nDV4toEJmICzPqE/d1YZxV5iAajxfRDPsKevPoh/j8Jnvv1Bt08po883v6h7ARqAJiebl20Qgp0PcPzCx+DbCZUT172nP8PO2An4Y2jfEm65unkC4MX3Vlp+APjz4djqlCwfhtmnFN1utrKgBHqne0XcTcOtGSE+hdJ2t2GyX4Olq3mrHtO35qHb8Vn/V2ChpY0qQf04NOlaW4LnW0LkeyV+Djqe6vIposq4FXxGDk7qM1xpqZ9zB2ZCXLF84QqR/I0Jx4mzUVaRuGQ4/kEQV2z8+bPC8lptmvG1wo7Wl25jQoGwV+LWlq6KyYH4zawqR5k2mcdEXKn6aoFteVVutenO6zKk1Kkux+o7t61mlTMhzZQ2/+kxr0dAk0Q7tPJeUbWBO9XfvnypshLPVHGEw6lzEc+7Kit/X5JpcOuhddVp9jddJ7+Jcp67gyuVqLB65JhZYU20DZUn/E6tena6i/Wz4vKVbYhk+TRI9J1suerpO0irTuryzcp7JBwaWrZQx6+qferLbjCJOq0htGeSHBPE0iPJlXWD0ExvKy6rH8XHwXxWHqKxuwPHPtUfSAh5D8oG/SyhTin1Ra/TRJrJZZioi1KUSI8sY7w3zzjhBftRCGLeY32Hmq+I/MmSY0gsPRWp9hMjU9al2N6ADZiC+O7jOZA2opdL0gjTmTqfWZc6zQndr43IEw5UQiYow1Q6HLkAIj7zjW3S0CVGMWkjEiX1UEyAZH166yiNNDaI/yc/+636wOL2Z+g59B6+8bn9hHj7M7yC38EFj5UoK657P8HTTf+zyP0L4vmdN/AXx5Pk2uceLyV5hg+elaOvJ1aY1vk+6PFUP2cZm6qzdvT1ddsIhp496vPfSi8X86zZEiW/15+hMWzs3L9W9/ZzBjsM7/lDifKRuOkOnWMUKB9ymlPlo7/3bQ9TcVjpiqQ5twzRS67+PpB3ZuQofCbRGrze1n8aOsegoZ9lMw3np8T0tbcBz+zxK4S27ItRJzhIrbxE6T/jVxBI4ICsXUyrFYrncMye7MhnFqG7XT+jVidcxUR5X82CeQ4NbRMwWylAlLgUqXxNzc/Au2W1kjI1/0DFiSOhKSupjERWZtaeAS6qtAd0XUdbz6vJr1SgZsWU2F51ennWmWyLfIr4xKxZfS/S0unOt9IfzNfcFUBPYrWK00T+RoRfjesd9FrA/NtxLVrpodaXi1IMmu0tUadiQn1Vx4HF34JczvQ009p8D959p/90SbUNH/gbdBuXbXdBJOKhMiK38qUURlGR6lako4erfZZbypx8wKbf+rKw6sG/YinSnEmwnMWkQenhD+NKd6JtoPKq0oYGFgzPXvm9NJztV71xmGn1U7vvKGhtzMbtO6JO5wHuWvmxPUHoeY+HkwVh/ErKulR/lxDbc1KOEdJTou9QIcuN1DhYCkLecYLf8KrQssE28JLqVECor/Qz1PpKlSGGQ9MlglgGC7WNB8dwdS+vZsbi6SG2jaTeQoKWd5reQijnInKMmh6sg7QelWRgXd3wGp5tiHqMuZVKPV0ZV5QXak5dCnJ0vwDb6AJHCMfoYzBxVtSsTa23mF/LusW2OTHbhxFTcO8neCUtN0dbHjifSdee996tYWE+wNNXAOf+2DZeXM+M68Y378WzJ8KT+7GP4LT+M4Q0/Fw+2vSA+uYoPGkk4Aicu3kGLsPfq2de7ByFy8bYIdL9uf780ab8gZ+xE3Bz8xMAE9ej99KQgXHdu/ZDFTYGsdPwgPq2sW0KDURy2131/Q9w/M9tw1SqfJ78GeAvVhyPNjGfTWNJrHzIaU6Vj673sdNjrTxcOH1E1PubaotgLM25ZXjubV2GX74QbdLJOzOaFDYSTcOpcfFf7534y1jstRLRHNXoTJ8HZSN6JkIkIA9RFcSMSoMetDp9CjCbzYHF8gYQTN+akYPgquXptLZ0Vyo67uDZQyWhek67t5oBmxBXRTRfHehs10acTmfbSltHfB5aUcE0i1qU7sMmbc6AruuoSqOeEKNi03D0WllobUNoPBNKf+DzadnYzCqOw3fvWtultlYtDw7dTsZPqTBz6stPc7U6WqdJaOWcleZEm1dlGYLSNhxsA1GrHJx8SYWxB+sPxXO6vW9soKJllDK96rglawywygavryERKmftqSUV0/1GpwPbjX6qjH2tek+0sTCm77TlmvEEyQuzRDjE8StD1sXIac8xOUZJz+71nTy5MZjM9CHin+9Cp7cOKFrkJ4S8T5+fEi1lC55Xaa7bAtlRziJaX5pSY1MxXSKEtRVoWVrORLqM8QIvK41IKD1rhLahiOstTQ+xCJS8Z/TleFstJMdK61FBCunqFmtLz2GrZVSpmZMDujaurL2G7cyyydX9aubgDuol+reUcHDLmbf/23qLDfaRZVHf0vib7w157el78a+zDUxu//oAL76qt5pRwcn8pscQhGTFFTmg2YRzGb1EbM8gm+sfw4VJtUWusSVOhNu4F0iDw8U6frk1jmCEcmnEJeJ5sZPw9nERaT4u/rO3+CEXfWcPJQ6wdn9z46s3sGM/n1E+g6LK0/EwE/GfHmvmNZlmAuhxNAnv4ZFVn9gmX+wc8RovmdGiqJFo7s6i2hZ2Vw+QUqHQq3BoWZerTflCMw8xQKOyElV8jFvolf7SIgc1zFLIi8J4fNQrDArtaTV+qqEcuxNHtdKk3XyTcdnE89VQkHrvoOE0YoxxLVeSpgIkB39nQDdKtQnevQ9DeQbpv75qZTwWV7q+Yqy13OcSdUogXc55bYxWhoHzJYhto+K8z0CkUK7bzXxJhdE16j5DRVcpZXKShBO9h0ppW1rLzftu4i/nthEOV7ZRHuqruMeEqJZucxsDXlI/zsbtO7qc3XontbEmvr7TQMu/geknHML4RZd1MXLaczyudHrK9x0cm5rtTJdRptwYVGZK5MTMpAP1kS1YrXQBWt4/PSae8RLxtAxCaRvl6qucLlGGUHoobcMQ1VuoEPKe05ez22of8qe8HhUhQ1dv93efByKOBeMw43VnMlvNTKJXAJ128recxal1P238kpfxJqPLFRmONtzaW868eotBehqipxjGnemhKY0NTWOG3P618zM8dSwTk5fN9h1z+b0zvnrxEVzwbC/KiQv56sUHGDs33jY4iXDQQwSNMDD5iU5L8zyi6xd+B2PE7XJvf2xuW1NeK/4DtsO04/rxrfjn+JGWB02Qez8B/gTLuent5CdYPj502Iac8hkUaTh0jD2k+J00U1DeSW0PuOy6YPaEwYxEDYVMTEDw7QWt8zbWYOmqXmVCN0wtsHdLSQmhJqv9rQzioLagB9R6wLQHgk9B6pnVYGuVUfYkLRVXk8Hy1VZ+apQHR3tAV0qsvY1GKtn9KnMB+s1XOD82g9VX3AunX1LlnJ/mcBnqiUiiztJtA+lAt6sS0Fy11QjlCRfl6nxphfG5nshVZyOp/E+cvaXy3fAkzMm7rSDiJZRE/U0ODcU4Ibx85dw2hmhjtrikWBwCcrVbx2GuUnF99w5nE21y+6nbd+rzOszVX31RwpFbORrP+M7yiI9fZWRdufEinR56XLTyEX13tdnG3AkYTW6kIaWn1zy4ellMVOv6ouVdeX1MWBNc7fVC3fJelHJtQ8mctC5BrfcSxNpGDuk0p/NeUm8pIcdKpqeErDO0+7ur8ytwLADfgoH2wLHtg3Jrl5hPlHRkrNuW8XYzRrCcLdEmHKWPuN7NtB0O+R6a30jLTe39g9u/dl7ttLxXGtuS5OV/mxiePwQB4wU1LkSdYxQ47Fpw7XOdjke1Z5Exrpw+fkQE/Cu8Urf7hova+FUb5MLbpGLlY5/hYy7c1WfY7fLBere3nKExZ+fFdsOYk0ozheP4urvKcFhfl3MDYvaEwYxEjkIW994RyNUKtQ/bu0XFh16BKb3KYCar9INWXawBFV1LcSCozgj4DuQcSq5YWOVjrlQ5tYjF5TBwvkLUXiZqQNdbhuSKYA82LO1ZTiBbXgYD4smXmngHJhrS2EBd+U3XVwypzJVYzXOIl3MfbSzYNvREZPt1Zrs02B5IeMC8MkZMzPrbaCNf1tkENSo8OVmb6EpvgHrrByY0J+/Odggtf3KpFGPsf2LCFp00+cpZu66720z2K8EJTKb8sfsOTqzwnJPmJCS/vqjhrCzY36vL3vrSwjN+lZF15caLdHrocWWXTzZ5b8bqJz3N7UvEvGtDde2JtwhdELpORj2Uo1zbUKR1ieHXO4U8vxtamuN5L6W3lJJjJfWoErIuGzkWtBcM5tC6IsveMlppiyd13OhP9xP1f1fXuzba5IRjziiSSdSGLlvvbTCNB5ejYVDrH+7+wATyfBtjbNDbv149bXrXZHEPD1b2Gy+y4pLhiDl/asuW9iyS9if9drVXb/vbMjYKVMavL9V2q+B5OoHyQWPLzXNHWkY9LB/DbpePrHez5UxuNWvWOyXNFN6id1njTCfr8m3bY0aKwmcSDQNtwXfPMQmit3EQtm9Ioe9ZVei0Nrrrs5ZCk2gxGF7VSof6af+u+0lacbUJ5SuKPpyvPUh73N3lmSRqy5B0iXZWWNXAS/cmoNLKl95771ulkYoIeeV3gPrS5wa0twMUIFrO/aXZ2zakwoNz/oBFLadtaNSbDtsTEImVL1lPobIzB0Y63+MZAUPrXynMoeKJwzBa5Wx+V8zYrSaPqXRko9tCHH1gZ0AekuVPo+8Yb7b6/JgwsbznhDM4ZWRdufacTs8u9p0+5MbQEG2Vlvf6rJzGpHpPDETIEOuLoEsMDULbGCqevJfpy6XkWKn07C04Fth1vGY8cEJerpFzjBr0q/tJw5X434xPOeFYW86iceB5jIvqLLTljG1tDaxtYLHtXzmgUcBr3MmMK3VAc4h7P/4q/g17Ie0GPi8pNGKMoRcPhXs/wefaUHQ8YM3xlY/ccrXzBr6KbOXKKZ+sNIcQ9Y7nAuGWM7nVzKl3SpoNsfTwtrL9zRCNRHNwx2OoUYcwCh3AbC8hsLKAKxq+CaeIw/WFNZMcilHJmqzqD+SZGu4Ep3oFvxn1xSDgehKo/ePWqgN6QeB2vMTWlCSEuFq08pWmOpxvYrbhXtzKu0SdG9CZugJXhELUqksZPwbl1JfIy0DFEawvN80PYHbCOhuLQF/1hatFqAyI1mkfKlqOeDn3leZWGepJkchD7a3jktM2DLhqa/qte7aBzld3UdWT9fvm9iO98usp22L9K5fgWRoOrXLWq5iY5iLnD+nJI8UYE6A1CTGHjSeoXuUfavMU+dPqOzo/ttyuVmNdYnnPCScGcfwqJOuKtWdCenav7/QjN8qi4kKbg4ornfchGmX6pFh99aNLDI1dbhuUvBfpy6XkmKCQbElTTldvgXkYn4EZM6xHPHDk4oL4lmYU61/3k/0J9RJpGMoJx2w5m5VbPX1bzfB31XmMAxqW1TawT+S2nND2ryzQKHD8BFzAk5gdsuKyjAuGJ4HX0OOOos2n2ltE/k5Ec9nxwrl9inTez6Dgm8PwAOWnzmv6pREjZPQSaXNf5a7O7vkAb0P7wjzlI+OwD4q+rl4t39hxlVE+0TRngAdYj50ehz+ePlLXk4aUZk0sPfKwa3zTXOhAc2akGaKRaAUW7gLMG3dSfS12t6X7Zd6cWp3foV4jaod3Fl66AWlrP82LxExW633TeADhsn4NazPN9ttHFuAuzFvp8DyDK1XorisGFPs5vLIGeEpcLdr5IoEuxqtbYgxMxyXPHulMwETHt81KTe5b9XX2ZWa9u/jri5rmKMT6ahwGLCa5+NannEMQEalI6DDknBwnAPreVWSj5dxXG6vLUKQEbj3Aw13xc+fsHjmBR31I/I2BZbSNGtFv5Wotht1UdNXZNQJSP9Xoradyy1ap/kWkyrcoF3w1dnr7hacPyjQvwzrU9Y2XrXDmtI3aW6sOy30miqhTfENRlTf5FmV9boPGnDFktw119lyszfvlT6rvtPKzeAye6y0PLrG854QThjp+pWUdqU6LtWeC7N3NvtOX3BgAq2zruKz6IuRdLko54bjP5PTTgSlVX33pEkNkN9sGKe9l9JZScqxUetLk6ep2fZkr3A5xLBDdQ+oYaCOSg51/zLc8dSj0rfuJ/mR7E+WEowxZiM/QNQdXhDLVa7z5rn/UNjAkvP2rfXB1/IBlfB3+GJ4R40CJy0YaF6wzji7+BeDPTjpunvsVHk0239SF27bUa9StZz97n/X2LvucHHmujXzVvbpvGnT029bMs8ffwJeew69vXMQzh5ppqsK58Rr+As3zdFS+/Gc/GdzyacVx8yN4Ovn31tYtavnE0kwvH1BnKI0dhcmx9oHV1DQj0TJE7yvRDjY95xLthnGQGYzfnDx58h/678OJXtFuvOL5IMD5YkLoMkSDhTQSba8GlBplRJraoBhFMtFpoBlc9imHua1yP2X2JbhdfVa+TdE9gwgP/5XeBct7ZFRhGIYZBdCr5OYJeOu+rn1EUOfpoDEn941ohRjx8mEYKvvgTKIho1cV+j6cb1ThfDEhzEraHqJc/WNb3A4Ah7mtcj9l9iPTp+R7tXxbSeRBwgzDMIcdc0CzPpSaceDyYQ4I7EnEMMzuMqfOvsG3v7CXCcMwo0PAk0h7xsnDaPfsEGuGYRgmxZ57EjHMAYGNRAzD7Ap4jge+GhhhAxHDMKOJNhTpOwOeNXJgt8YyDMMcENhIxDBlYCMRwzAMwzAMwzAMwzAMw2cSMQzDMAzDMAzDMAzDMGwkYhiGYRiGYRiGYRiGYQRsJGIYhmEYhmEYhmEYhjn0APw/oCJmq5jYOjoAAAAASUVORK5CYII="
+    }
+   },
+   "cell_type": "markdown",
+   "id": "e86236a2",
+   "metadata": {},
+   "source": [
+    "1. Что делает команда python -m venv venv?  \n",
+    "Создает виртуальное окружение venv  \n",
+    "\n",
+    "1.1 Что делает каждая команда в списке ниже?  \n",
+    "`pip list` - выводит список установленных в окружении пакетов  \n",
+    "`pip freeze > requirements.txt` - выгружает установленные пакеты в текстовый файл requirements  \n",
+    "`pip install -r requirements.txt` - устанавливает все пакеты из файла requirements.txt  \n",
+    "\n",
+    "2. Что делает каждая команда?  \n",
+    "`conda env list` - выводит список всех доступных виртуальных окружений conda  \n",
+    "`conda create -n env_name python=3.5` - создает виртуальное окружение с именем env_name и устанавливает в нем версию Python 3.5  \n",
+    "`conda env update -n env_name -f file.yml` - обновляет окружение env_name в соответствии с описанием в YAML-файле file.yml  \n",
+    "`source activate env_name` - активирует виртуальное окружение env_name  \n",
+    "`source deactivate` - деактивирует активное виртуальное окружение  \n",
+    "`conda clean -a` - очищает кэш conda, удаляет неиспользуемые пакеты, временные файлы  \n",
+    "\n",
+    "3. вставьте скрин вашего терминала, где вы активировали сначала venv, потом conda, назовите окружение \"SENATOROV\"  \n",
+    "![image.png](attachment:image.png)  \n",
+    "![image-2.png](attachment:image-2.png)  \n",
+    "![image-3.png](attachment:image-3.png)  \n",
+    "\n",
+    "4. Как установить необходимые пакеты внутрь виртуального окружения для conda/venv?  \n",
+    "Для conda - `conda install lib_name`  \n",
+    "Для venv - `pip install lib_name`  \n",
+    "\n",
+    "5. Что делают эти команды?  \n",
+    "`pip freeze > requirements.txt` - создает файл requirements.txt, в который записывается список всех установленных пакетов Python  \n",
+    "`conda env export > environment.yml` - создает файл environment.yml, который содержит полное описание текущего окружения conda  \n",
+    "\n",
+    "5.1 вставьте скрин, где будет видна папка VENV в вашем репозитории а также файлы зависимостей requirements.txt и environment.yml, файлы должны содержать зависимости  \n",
+    "![image-4.png](attachment:image-4.png)  \n",
+    "\n",
+    "6. Что делают эти команды?  \n",
+    "`pip install -r requirements.txt` - читает файл requirements.txt, в котором перечислены необходимые пакеты Python  \n",
+    "`conda env create -f environment.yml.` - создает новое виртуальное окружение conda на основе конфигурации, записанной в файле environment.yml.  \n",
+    "\n",
+    "7. Что делают эти команды?\n",
+    "`pip list` - выводит список установленных в окружении пакетов  \n",
+    "`pip show` - показывает подробную информацию о пакете  \n",
+    "`conda list` - выводит список всех пакетов, установленных в активном conda окружении  \n",
+    "\n",
+    "8. Где по умолчанию больше пакетов venv/pip или conda? и почему дата сайнинисты используют conda?  \n",
+    "Больше пакетов в pip. Дата сайентисты используют conda из-за специализированных библиотек  \n",
+    "\n",
+    "9. вставьте скрин где будет видно, Выбор интерпретатора Python (conda) в VS Code/cursor\n",
+    "![м](attachment:image-5.png)  \n",
+    "\n",
+    "10. добавьте в .gitignore папку SENATOROV  \n",
+    "Добавил  \n",
+    "11. Зачем нужно виртуально окружение?  \n",
+    "Виртуальное окружение нужно для изоляции зависимостей и установленных пакетов в рамках каждого проекта\n",
+    "12. С этого момента надо работать в виртуальном окружении conda, ты научился(-ась) выгружать зависимости и работать с окружением?  \n",
+    "Да  "
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "name": "python",
+   "version": "3.10.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/python/venv.py b/python/venv.py
new file mode 100644
index 00000000..24388170
--- /dev/null
+++ b/python/venv.py
@@ -0,0 +1,56 @@
+# %%
+"""Venv."""
+
+# 1. Что делает команда python -m venv venv?
+# Создает виртуальное окружение venv
+#
+# 1.1 Что делает каждая команда в списке ниже?
+# `pip list` - выводит список установленных в окружении пакетов
+# `pip freeze > requirements.txt` - выгружает установленные пакеты в текстовый файл requirements
+# `pip install -r requirements.txt` - устанавливает все пакеты из файла requirements.txt
+#
+# 2. Что делает каждая команда?
+# `conda env list` - выводит список всех доступных виртуальных окружений conda
+# `conda create -n env_name python=3.5` - создает виртуальное окружение с именем env_name и устанавливает в нем версию Python 3.5
+# `conda env update -n env_name -f file.yml` - обновляет окружение env_name в соответствии с описанием в YAML-файле file.yml
+# `source activate env_name` - активирует виртуальное окружение env_name
+# `source deactivate` - деактивирует активное виртуальное окружение
+# `conda clean -a` - очищает кэш conda, удаляет неиспользуемые пакеты, временные файлы
+#
+# 3. вставьте скрин вашего терминала, где вы активировали сначала venv, потом conda, назовите окружение "SENATOROV"
+# ![image.png](attachment:image.png)
+# ![image-2.png](attachment:image-2.png)
+# ![image-3.png](attachment:image-3.png)
+#
+# 4. Как установить необходимые пакеты внутрь виртуального окружения для conda/venv?
+# Для conda - `conda install lib_name`
+# Для venv - `pip install lib_name`
+#
+# 5. Что делают эти команды?
+# `pip freeze > requirements.txt` - создает файл requirements.txt, в который записывается список всех установленных пакетов Python
+# `conda env export > environment.yml` - создает файл environment.yml, который содержит полное описание текущего окружения conda
+#
+# 5.1 вставьте скрин, где будет видна папка VENV в вашем репозитории а также файлы зависимостей requirements.txt и environment.yml, файлы должны содержать зависимости
+# ![image-4.png](attachment:image-4.png)
+#
+# 6. Что делают эти команды?
+# `pip install -r requirements.txt` - читает файл requirements.txt, в котором перечислены необходимые пакеты Python
+# `conda env create -f environment.yml.` - создает новое виртуальное окружение conda на основе конфигурации, записанной в файле environment.yml.
+#
+# 7. Что делают эти команды?
+# `pip list` - выводит список установленных в окружении пакетов
+# `pip show` - показывает подробную информацию о пакете
+# `conda list` - выводит список всех пакетов, установленных в активном conda окружении
+#
+# 8. Где по умолчанию больше пакетов venv/pip или conda? и почему дата сайнинисты используют conda?
+# Больше пакетов в pip. Дата сайентисты используют conda из-за специализированных библиотек
+#
+# 9. вставьте скрин где будет видно, Выбор интерпретатора Python (conda) в VS Code/cursor
+# ![м](attachment:image-5.png)
+#
+# 10. добавьте в .gitignore папку SENATOROV
+# Добавил
+# 11. Зачем нужно виртуально окружение?
+# Виртуальное окружение нужно для изоляции зависимостей и установленных пакетов в рамках каждого проекта
+# 12. С этого момента надо работать в виртуальном окружении conda, ты научился(-ась) выгружать зависимости и работать с окружением?
+# Да
diff --git a/quiz.ipynb b/quiz.ipynb
new file mode 100644
index 00000000..dc1b0b4d
--- /dev/null
+++ b/quiz.ipynb
@@ -0,0 +1,282 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "fd046e3d",
+   "metadata": {
+    "vscode": {
+     "languageId": "plaintext"
+    }
+   },
+   "source": [
+    "quiz 1\n",
+    "Список вопросов к видео https://youtu.be/hW_7hodGxVU?si=tCEVs00xGt2q61eW (АЛГОРИТМ ПРИНЯТИЯ И ОТДАЧИ ДОМАШКИ):\n",
+    "    \n",
+    "(По желанию )В ответе подробно всё опишите и обязательно нужно указывать тайм код из видео где я это сказал, по желанию, дополнительно прикладываем скриншот из видео.\n",
+    "Если вы знаете ответы на вопросы из Вашего опыта, то таймкоды из видео не надо указывать и т.д.\n",
+    "\n",
+    "1) Как понять, что домашка пришла?\n",
+    "06:00 в тг в чате HomeWork Руслан укажет ник и напишет прими пул\n",
+    "2) Как принять домашку?\n",
+    "020:00 в гит дескторп нажимаем Pull origin -> заходим в историю и смотрим коммиты -> открываем в VSCode\n",
+    "3) Зачем нужна кнопка history и какие функции появляются при нажатии правой кнопки мыши на коммит?\n",
+    "в ней содержатся коммиты, функции при нажатии правой кнопки (Amend commit… Reset to commit… Checkout commit Reorder commit Revert changes in commit Create branch from commit Create Tag… Cherry-pick commit… Copy SHA Copy tag View on GitHub)\n",
+    "3.1) Где брать ссылку на коммит? куда её отправлять? \n",
+    "3:58 правой кнопкой мыши на вклдке история View on GitHub -> копируем ссылку и оправляем в тг в чат \n",
+    "4) Что такое файл лога? \n",
+    "1:08 файл в котором описываем что делали в дз\n",
+    "4.1) Когда нужно его пушить?\n",
+    "с каждой домашкой\n",
+    "5) Что такое интерпритатор? \n",
+    "2:50 это программа которая читает и запускает код\n",
+    "6) Где можно выбрать интерпритатор?\n",
+    "3:00 кнопка Select Kernel\n",
+    "7) Что такое модуль? \n",
+    "модуль - это часть программы, которая может быть использована в различных частях программы\n",
+    "8) Как создать и отправить коммит?\n",
+    "12:00 в гитхаб десктоп на вкладке Changes слева снизу. Для отправки нажимаем на кнопку Commit to main\n",
+    "9) Как посмотреть что коммит точно отправлен и находится в github?\n",
+    "12:28 ошибок нет, нажимаем Push origin в гит десктоп \n",
+    "10) Какая команда показывает что код не прошёл проверки на ошибки? \n",
+    "6:06 pre-commit run --all-files\n",
+    "10.1) Напишите список линтеров которые используются для проверки кода и дайте их краткую характеристику.\n",
+    "pylint проверяет стиль кода  \n",
+    "pydocstyle проверяет строки документации\n",
+    "flake8 для проверки ошибок \n",
+    "11) Как узнать какой именно линтер не прошёл проверку?\n",
+    "6:30 при выводе команды pre-commit run --all-files рядом с линтером будет красная надпись Failed\n",
+    "12) Линтер Pylint видит markdown?\n",
+    "7:06 не видит \n",
+    "13) Номер ячейки в терминале и номер ячейки в vs code может отличаться? в каком случае?\n",
+    "7:12 да, может. Из-за того что линтер не видит маркдаун\n",
+    "14) Где посмотреть номер ячейки в vscode?\n",
+    "6:44 снизу справа Cell\n",
+    "15) В каком формате ipynb отправляется в гитхаб? причём здесь JSON?\n",
+    "3:20 в формате json \n",
+    "16) Где посмотреть в какой ячейке ошибка?\n",
+    "в ответе линтера cell_\n",
+    "17) Как запустить терминал?\n",
+    "5:57 вкладка Terminal-> New Terminal\n",
+    "18) Что такое линтер?\n",
+    "6:15 программа которая проверяет файл на корректность \n",
+    "19) В какой сайт нужно вставлять код ошибки если ошибка связана с pylint?\n",
+    "8:20 https://pylint.readthedocs.io/en/stable/\n",
+    "20) Секция pydocstyle в большинстве случае автоматический закрывается после исправления ошибок в каком линтере?\n",
+    "10:11 закрывается после исправления ошибок по pylint\n",
+    "21) Что такое описание модуля? Оно должно отражать информацию о том что находится в модуле?\n",
+    "9:27 Описание модуля объясняет что находится в модуле. Да, должно \n",
+    "21.1) С какой  git команды начинается утро программиста?\n",
+    "Pull origin\n",
+    "22) После внесения изменений в файлах, кнопка open in vs code пропадает в кошке, как по другому открыть vs code из кошки?\n",
+    "14:00  на Current repository нажимаем правой кнопкой мыши -> Open in VS\n",
+    "23) Что такое stash?  \n",
+    "Временное хранилище изменений, которое позволяет отложить изменения в файле без их коммита\n",
+    "  Общее объяснение концепции.\n",
+    "23.1) Как сохранить стэш?\n",
+    "команды git stash save \"название_стэша\"\n",
+    "  git командa(подсказка: https://t.me/c/1937296927/3602/19531): \n",
+    "\n",
+    "  Кнопка в vs code:\n",
+    "  15:58 кнопка Restore \n",
+    "\n",
+    "23.2) Как восстановить стэш(подсказка: https://t.me/c/1937296927/3602/25747)?:\n",
+    "\n",
+    "      git команда(подсказка: https://t.me/c/1937296927/3602/19531)?:\n",
+    "      git stash apply \"индекс_стэша\"\n",
+    "23.3) Различие между стэшем и коммитом.  \n",
+    "стэш - временное сохранение изменений, которые не фиксируются в истории проекта\n",
+    "коммит - окончательное сохранение изменений с записью в историю репозитория\n",
+    "  \n",
+    "  Когда лучше сохранить изменения в стэше, а когда коммитить.\n",
+    "\n",
+    "  стэш когда нужно сохранить изменения, но не готовы коммитить\n",
+    "  коммит когда нужно зафиксировать изменения в проекте\n",
+    "23.4) Как просмотреть список сохраненных стэшей?  \n",
+    "  git команда (подсказка: https://t.me/c/1937296927/3602/19531):\n",
+    "git stash list\n",
+    "23.5) Как удалить стэш?  \n",
+    "  Команды для удаления отдельных стэшей или всех сразу.\n",
+    "  git команда (подсказка: https://t.me/c/1937296927/3602/19531):\n",
+    "  для удаления отдельных: git stash drop \"индекс_стэша\"\n",
+    "  для удаления всех сразу: git stash clear\n",
+    "23.6) Практические примеры использования стэша.  \n",
+    "  Краткие сценарии, где стэш помогает.\n",
+    "  Переключение между ветками с незавершенными изменениями\n",
+    "  Работа над экспериментальными изменениями \n",
+    "  Сохранение изменений перед рефакторингом\n",
+    "24) Где посмотреть что есть конфликт в файлах? \n",
+    "16:20 во вкладке history рядом с файлом будет восклицательный знак\n",
+    "24.1) Когда он появляется?\n",
+    "После того как файл кто-то исправил \n",
+    "25) Как решить конфликт в файлах?\n",
+    "16:25 рядом с файлом с восклицательным знаком нажимаем правой кнопкой мыши open in VS\n",
+    "26) Напишиие правильное утверждение\n",
+    "-Зелёное то что пришло с гитхаба и синее локальные изменения или синее то что пришло с гитхаба и зелёное это локальные изменения \n",
+    "Зелёное то что пришло с гитхаба и синее локальные изменения\n",
+    "27) Если мы работаем в одном файле, можно ли принять pull после того как вы спрячете в стэш свои изменения? \n",
+    "Да, можно\n",
+    "27.1) Что может произойти когда stash восстановите после принятия pull?\n",
+    "может произойти конфликт \n",
+    "28) Сколько способов решения конфликтов было показано в видео? Напишите ЧИСЛО и укажите их способы.\n",
+    "4 способа: Accept current change, accept incoming change, accept both changes, вручную \n",
+    "29) Что делает кнопка complete merge?\n",
+    "17:43 сливает ветки\n",
+    "30) В какой чат нужно писать если остались вопросы?\n",
+    "18:35 в тг чат Help me\n",
+    "31) Что такое FORK? Зачем его делают? \n",
+    "19:10 для копирования репозитория, чтобы лично работать над проектом\n",
+    "32) Как скачать форкнутый репозиторий на локальный компьютер?\n",
+    "19:34 Сделать клон репозитория в Гит десктоп \n",
+    "33) С какой вероятностью ваши ошибки были уже решены? и кто их решил?\n",
+    "другие ученики или Руслан Сенаторов \n",
+    "34) Как создать файл в vs code?\n",
+    "0:56 во вкладке Exolorer нажать правой кнопкой мыши New File, либо листочек с плюсиком \n",
+    "35) Файл лога нужно заполнять в конце каждого урока?\n",
+    "1:12 да\n",
+    "==================\n",
+    "\n",
+    "Дополнительные вопросы:\n",
+    "1)Какая команда конвертирует файл в py из ipynb? \n",
+    "jupyter nbconvert --to script название_файла.ipynb\n",
+    "подсказка https://t.me/c/1937296927/1/26527 \n",
+    "2) Что такое пакетный менеджер? Вы пользуетесь пакетным менеджером conda или pip? Какой лучше использовать для дата сайнс?\n",
+    "пакетный менеджер - это инструмент для управления установкой, обновлением, удалением и настройкой программных пакетов. Использую пакетный менеджер conda. Для DS лучше использовать conda\n",
+    "3) Почему расширение py лучше чем ipynb?\n",
+    "для работы с py можно использовать любой редактор, а для работы с ipynb нужен Jupyter \n",
+    "4) Что такое pep8? \n",
+    "подсказка:https://peps.python.org/pep-0008/\n",
+    "правила по стилю написания кода\n",
+    "4.1) линтеры проверяют на соблюдение pep8?\n",
+    "да\n",
+    "4.2) Какая нотация используется для создания переменных? \n",
+    "ответ на 85-95 страницы https://t.me/c/1937296927/1/16676\n",
+    "Змеиный регистр (snake_case), верблюжий регистр (camelCase), схема Pascal (PascalCase)\n",
+    "4.3) Может ли переменная состоять из одной буквы например андерскор  \"_\" ?\n",
+    "да, может\n",
+    "4.4) Зачем и где мы используем андерскор _ \n",
+    "Для названия переменных с помощью нотации snake case, для временной переменной\n",
+    "4.5) По PEP8 допустима переменная в одну букву?\n",
+    "ответ на 85-95 страницы https://t.me/c/1937296927/1/16676\n",
+    "допустима в циклах в качестве индексов, в качестве переменной лучше избегать"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e3bff42c",
+   "metadata": {},
+   "source": [
+    "quiz 2\n",
+    "Список вопросов к видео https://youtu.be/Si9MfV8uJ-0?si=JXHe-tsgOEwSTI5E (НАСТРОЙКА VSCODE, перенос строк, линтеры, работа с ячейками):\n",
+    "\n",
+    "(По желанию)В ответе подробно всё опишите и обязательно нужно указывать тайм код из видео где я это сказал, по желанию, дополнительно прикладываем скриншот из видео.\n",
+    "Если вы знаете ответы на вопросы из Вашего опыта, то таймкоды из видео не надо указывать и т.д.\n",
+    "\n",
+    "1. Как включить автосохранение данных в VSCODE?\n",
+    "0:09 сверху нажимаем file -> Auto save  \n",
+    "2. Как настроить перенос строки? \n",
+    "Нажимаем file -> Preferences -> Settings -> пишем wrap -> выставляем wordWarpColumn и выбираем 79 символов\n",
+    "3. Сколько символов по pep8 разрешено на строке?\n",
+    "0:30 разрешено 79 символов \n",
+    "4. Какие способы переноса строк показаны в видео:\n",
+    "4.4, 4.6\n",
+    "\n",
+    "4.1 Строки с использованием обратного слэша (\\)\n",
+    "\n",
+    "string_continued = \"This is a long string that we want to \" \\\n",
+    "                   \"split across multiple lines.\"\n",
+    "print(string_continued)\n",
+    "\n",
+    "4.2 Тройные кавычки (''' или \"\"\") \n",
+    "\n",
+    "multi_line_string = \"\"\"This is a string that spans\n",
+    "multiple lines. You can write freely\n",
+    "and it will keep the line breaks.\"\"\"\n",
+    "print(multi_line_string)\n",
+    "\n",
+    "4.3 Создание списка строк и объединение с помощью join\n",
+    "\n",
+    "strings = [\n",
+    "    \"This is the first line.\",\n",
+    "    \"This is the second line.\",\n",
+    "    \"This is the third line.\"\n",
+    "]\n",
+    "result = \"\\n\".join(strings)  # Используем перенос строк '\\n'\n",
+    "print(result)\n",
+    "\n",
+    "4.4 Использование круглых скобок для продолжения строки\n",
+    "long_string = (\n",
+    "    \"This is a very long string that I would like to \"\n",
+    "    \"continue on the next line.\"\n",
+    ")\n",
+    "print(long_string)\n",
+    "\n",
+    "4.5 Форматированные строки (f-строки) с использованием скобок\n",
+    "letter_a = 5\n",
+    "letter_b = 6\n",
+    "product_ab = letter_a * letter_b\n",
+    "\n",
+    "message = (\n",
+    "    f\"when {letter_a} is multiplied by {letter_b}, \"\n",
+    "    f\"the result is {product_ab}\"\n",
+    ")\n",
+    "print(message)\n",
+    "\n",
+    "4.6 Сложение строк с помощью +\n",
+    "\n",
+    "string_part1 = \"This is the first part, \"\n",
+    "string_part2 = \"and this is the second part.\"\n",
+    "full_string = string_part1 + string_part2\n",
+    "print(full_string)\n",
+    "\n",
+    "5. Проверка на ошибки c помощью кнопки problems, где она находится?\n",
+    "можно вызвать окно через Terminal слева сверху -> далее из нижней навигации нажать на Problems\n",
+    "6. Где в vscode находится клиент гита? как в нём отправить коммит? как принять домашку?\n",
+    "6:20 слева нажимаем символ с тремя кружочками.Для отправки коммита нажимаем source control -> далее заполняем название коммита и рядом с кнопкой Commit нажимаем на галочку и выбираем commit & push. Для принятия домашки нажимаем три точки и выбираем pull\n",
+    "7. Что такое GIT? он локальный? В нём можно посмотреть историю изменений файлов и вернуться к любому коммиту?\n",
+    "это система контроля версий. Репозиторий может быть локальным, в нем можно посмотреть историю изменения файлов и вернуться к любому коммиту.\n",
+    "8. Как вставить картинку в маркдаун? \n",
+    "7:58 через ctrl + v\n",
+    "9. Где посмотреть длину строки в vs code?\n",
+    "1:05 нужно создать файл с раширением .py и там справа снизу можно увидеть длину строки\n",
+    "10. Как поменять тип ячейки с питона на маркдаун?\n",
+    "7:44 справа снизу ячейки нажать на тип\n",
+    "11. Как запустить сразу все ячейки в юпитере?\n",
+    "8:29 по середине сверху кнопка run all\n",
+    "12. Как изменить размер картинки в юпитере? Нужно для этого знать HTML?\n",
+    "8:10 через тег img. Да, нужно\n",
+    "13. Какой хоткей чтобы запустить ячейку с смещением на следующую?\n",
+    "8:42 shift + enter \n",
+    "14. Как включить отображение номеров строк в юпитере(Cell line numbers)?\n",
+    "9:00 рядом с ячейкой нажимаем три точки -> show cell line numbers\n",
+    "15. Что такое \"Go To\" чем это полезно? Как перейти сразу на ошибочную ячейку?\n",
+    "9:30 данная кнопка помогает перейти к ячейке которая упала с ошибкой. Для перехода нужно просто нажать на данную кнопку\n",
+    "16. Как очистить вывод ячеек которые уже запущены?\n",
+    "10:45 Нажимаем посередине сверху на clear all outputs \n",
+    "17. Как работать одновременно в нескольких файлах в VSCODE? Что такое SPLIT?\n",
+    "10:54 справа сверху нажимаем на split editor right \n",
+    "18. Каким сочетанием убирается левый сайдбар?\n",
+    "11:20 убирается сочетанием ctrl + b \n",
+    "19. Кнопка два листочка это наши локальные файлы?\n",
+    "11:33 да\n",
+    "20. Какая ошибка появилась в трассировке при запуске всех ячеек DICT или LIST?\n",
+    "10:03 DICT\n",
+    "21. Вы ознакомились с https://t.me/c/1937296927/832/19307? и  https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet?\n",
+    "ознакомился\n",
+    "22. Что такое валидация?\n",
+    "9:49 валидация означает что код выполнен без ошибок \n",
+    "23. Что такое трассировка ошибки?\n",
+    "10:00 трассировка это визуализация ошибки\n",
+    "24. Что значит отвалился интерпритатор?\n",
+    "это означает что при выполнении кода возникла ошибка\n",
+    "Отвечаете на вопросы в вашем редакторе кода.\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}