diff --git a/.gitignore b/.gitignore index 0fa2f447..87a83a69 100644 --- a/.gitignore +++ b/.gitignore @@ -333,3 +333,4 @@ coverage/ /Math/calculus/theory /Math/school_theory +SENATOROV/ \ No newline at end of file diff --git a/log.ipynb b/log.ipynb new file mode 100644 index 00000000..753c5e59 --- /dev/null +++ b/log.ipynb @@ -0,0 +1,51 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "33de5850", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"Learning progress log.\"\"\"\n", + "\n", + "AUTHOR = \"Hasan\"" + ] + }, + { + "cell_type": "markdown", + "id": "14db7ba7", + "metadata": {}, + "source": [ + "### 18.01.2026 - Начало обучения\n", + "\n", + "* Настроил VS Code и установил плагины.\n", + "* Создал профиль на GitHub (Readme).\n", + "* Оформил профиль на Kaggle.\n", + "* Сделал Fork репозитория курса и клонировал его.\n", + "* Настроил pre-commit hooks." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "base", + "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": "3.13.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/log.py b/log.py new file mode 100644 index 00000000..73657fc0 --- /dev/null +++ b/log.py @@ -0,0 +1,13 @@ +# + +"""Learning progress log.""" + +AUTHOR = "Hasan" +# - + +# ### 18.01.2026 - Начало обучения +# +# * Настроил VS Code и установил плагины. +# * Создал профиль на GitHub (Readme). +# * Оформил профиль на Kaggle. +# * Сделал Fork репозитория курса и клонировал его. +# * Настроил pre-commit hooks. diff --git a/python/cpython.ipynb b/python/cpython.ipynb new file mode 100644 index 00000000..443333c0 --- /dev/null +++ b/python/cpython.ipynb @@ -0,0 +1,116 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "5d5c9daa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'TASK CPython'" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"\"\"TASK CPython.\"\"\"" + ] + }, + { + "cell_type": "markdown", + "id": "63bdf168", + "metadata": {}, + "source": [ + "1. Что такое CPython и чем он отличается от Python?\n", + " Python - это концепция языка программирования высокого уровня (набор инструкций, алгоритмов и описаний). СPython - это \\\"живая\\\" официальная реализация Python на языке С.\n", + "3. Сколько существует реализаций Python, и какая из них самая популярная?\n", + " - CPython (Самая популярная);\n", + " - IPython,\n", + " - IronPython,\n", + " - Jython;\n", + " - PyPy;,\n", + " - PythonNet;\n", + " - Stackless on,\n", + " и другие.\n", + "4. На каком языке написан CPython?\n", + " На языке С\n", + "5. Кто создал CPython?,\n", + " - Guido van Rossum.\n", + "6. Почему Python считается быстрым, несмотря на то, что это интерпретируемый язык?\n", + " - ядро языка CPython написано на языке C, CPython вызывает инструкции на языке C.\n", + "7. Напишите путь к Интерпретатору CPython на вашем компьютере,\n", + " - C:\\\\Users\\\\4739361\\\\AppData\\\\Local\\\\Programs\\\\Python\\\\Python313\\\\python.exe\n", + "8. Что содержится в папке include в CPython?\n", + " - Файлы на языке C. Инструкции, описания структур данный, описание интерфейсов, ядро.\n", + "9. Где можно найти исходный код CPython дайте ссылку на репозиторий гитхаб\n", + " - https://github.com/python/cpython.\n", + "10. (опционально) Как работает интерпретатор CPython при выполнении кода?\n", + " - Интерпретатор выполняет код построчно.\n", + "11. Какая команда используется для запуска файла с помощью CPython?\n", + " - python\n", + "12. Можно ли запускать текстовые файлы через интерпретатор Python? Почему?\n", + " - Можно, потому что интерпретатор не обращает внимание на расширение файла.\n", + "13. Как указать путь к интерпретатору и файлу для выполнения кода?\n", + " - Зайти в консоль. Скопировать путь к интерпретатору и вставить в консоль.\n", + " - (путь до интерпретатора - ПРОБЕЛ - путь до фала).\n", + "14. Чем PyPy отличается от CPython?\n", + " - Этот интерпретатор реализован в RPython. Основная цель PyPy - обеспечить максимальную совместимость с CPython и в то же время увеличить производительность. Работает примерно в 4.4 раза быстрее, чем CPython.\n", + "15. Почему PyPy не может использоваться для всех проектов на Python?\n", + " - На данный момент совместим не со всеми проектами на CPython.\n", + "16. Где можно скачать PyPy?\n", + " - pypy.org.\n", + "17. Как установить PyPy после скачивания?\n", + " - Распаковать архив в удобном место, добавит исполняемый файл в переменный среды (PATH).\n", + "18. Как запустить файл с помощью PyPy?\n", + " команда pypy \\\"расположение файла\\\".\n", + "19. Почему PyPy выполняет код быстрее, чем CPython?\n", + " - Pypy выполняет код быстрее CPython благодаря использованию JIT-компиляции (Just-in-Time — компиляция «на лету»). Это принципиально иной подход к исполнению кода. CPython работает как интерпретатор, а Pypy — как компилятор в машинный код для «горячих» участков программы.\n", + "\n", + "#### Практические задания\n", + "Задание 1: Поиск и установка CPython\n", + " - done\n", + "\n", + "Задание 2: Исследование структуры CPython\n", + "Найдите папку, где установлен Python (например, через команду where python в терминале или свойства ярлыка).\n", + "Откройте папку include и изучите её содержимое. Какое количество файлов на C там есть?\n", + "Перейдите на [GitHub-репозиторий CPython](https://github.com/python/cpython) и найдите файл README. Прочитайте информацию о проекте.\n", + " - В папке include 77 файла на языке C.\n", + "Задание 3: Запуск файла с помощью CPython\n", + " - done\n", + "Задание 4: Установка и использование PyPy\n", + " - done\n", + "Задание 5: Сравнение производительности CPython и PyPy\n", + " - провёл тест, результаты:\n", + " pypy: 0.049\n", + " CPython: 2.16\n", + " Разница: 44x" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "base", + "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": "3.13.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/python/cpython.py b/python/cpython.py new file mode 100644 index 00000000..01df30a0 --- /dev/null +++ b/python/cpython.py @@ -0,0 +1,84 @@ +"""TASK CPython.""" + +# 1. Что такое CPython и чем он отличается от Python? +# Python - это концепция языка программирования высокого уровня +# (набор инструкций, алгоритмов и описаний). СPython - это +# \"живая\" официальная реализация Python на языке С. +# 3. Сколько существует реализаций Python, и какая из них самая популярная? +# - CPython (Самая популярная); +# - IPython, +# - IronPython, +# - Jython; +# - PyPy;, +# - PythonNet; +# - Stackless on, +# и другие. +# 4. На каком языке написан CPython? +# На языке С +# 5. Кто создал CPython?, +# - Guido van Rossum. +# 6. Почему Python считается быстрым, несмотря на то, что это +# интерпретируемый язык? +# - ядро языка CPython написано на языке C, CPython вызывает +# инструкции на языке C. +# 7. Напишите путь к Интерпретатору CPython на вашем компьютере, +# - C:\\Users\\4739361\\AppData\\Local\\Programs\\Python\\Python313\\python +# 8. Что содержится в папке include в CPython? +# - Файлы на языке C. Инструкции, описания структур данный, +# описание интерфейсов, ядро. +# 9. Где можно найти исходный код CPython дайте ссылку на репозиторий гитхаб +# - https://github.com/python/cpython. +# 10. (опционально) Как работает интерпретатор CPython при выполнении кода? +# - Интерпретатор выполняет код построчно. +# 11. Какая команда используется для запуска файла с помощью CPython? +# - python +# 12. Можно ли запускать текстовые файлы через интерпретатор Python? Почему? +# - Можно, потому что интерпретатор не обращает внимание на +# расширение файла. +# 13. Как указать путь к интерпретатору и файлу для выполнения кода? +# - Зайти в консоль. Скопировать путь к интерпретатору и +# вставить в консоль. +# - (путь до интерпретатора - ПРОБЕЛ - путь до фала). +# 14. Чем PyPy отличается от CPython? +# - Этот интерпретатор реализован в RPython. Основная цель +# PyPy - обеспечить максимальную совместимость с CPython и в +# то же время увеличить производительность. Работает примерно +# в 4.4 раза быстрее, чем CPython. +# 15. Почему PyPy не может использоваться для всех проектов на Python? +# - На данный момент совместим не со всеми проектами на CPython. +# 16. Где можно скачать PyPy? +# - pypy.org. +# 17. Как установить PyPy после скачивания? +# - Распаковать архив в удобном место, добавит исполняемый +# файл в переменный среды (PATH). +# 18. Как запустить файл с помощью PyPy? +# команда pypy \"расположение файла\". +# 19. Почему PyPy выполняет код быстрее, чем CPython? +# - Pypy выполняет код быстрее CPython благодаря +# использованию JIT-компиляции (Just-in-Time — компиляция «на лету»). +# Это принципиально иной подход к исполнению кода. CPython работает +# как интерпретатор, а Pypy — как компилятор в машинный код для +# «горячих» участков программы. +# +# #### Практические задания +# Задание 1: Поиск и установка CPython +# - done +# +# Задание 2: Исследование структуры CPython +# Найдите папку, где установлен Python (например, через команду +# where python в терминале или свойства ярлыка). +# Откройте папку include и изучите её содержимое. Какое количество +# файлов на C там есть? +# Перейдите на [GitHub-репозиторий CPython] +# (https://github.com/python/cpython) и найдите файл README. +# Прочитайте информацию о проекте. +# - В папке include 77 файла на языке C. +# Задание 3: Запуск файла с помощью CPython +# - done +# Задание 4: Установка и использование PyPy +# - done +# Задание 5: Сравнение производительности CPython и PyPy +# - провёл тест, результаты: +# pypy: 0.049 +# CPython: 2.16 +# Разница: 44x diff --git a/python/issues.ipynb b/python/issues.ipynb new file mode 100644 index 00000000..a9bcf167 --- /dev/null +++ b/python/issues.ipynb @@ -0,0 +1,201 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "2a8fcec8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'TASK ISSUES.'" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"\"\"TASK ISSUES.\"\"\"" + ] + }, + { + "cell_type": "markdown", + "id": "bb5b11b0", + "metadata": {}, + "source": [ + "Вопросы: \n", + "## Общие вопросы\n", + "1. Что такое Issues на GitHub и для чего они используются? \n", + "- К примеры для объяснения написанного кода или даже обучение программированию, можно так писать ишьюса для выявления багов в проекте или улучшения функционала\n", + "2. Чем Issues отличаются от других инструментов управления задачами?\n", + "- Issues — это лёгкий встроенный таск-менеджер для разработчиков, тесно связанный с кодом.\n", + "3. Какие основные компоненты (поля) есть у каждого Issue?\n", + "- Title (Заголовок) — краткое описание проблемы\n", + "- Description (Описание) — подробности задачи\n", + "- Author (Автор) — кто создал\n", + "- Comments (Комментарии) — обсуждение\n", + "\n", + "## Создание Issues\n", + "4. Как создать новое Issue в репозитории?\n", + "- Под названием вашего репозитория нажмите «Issues» . Нажмите «New Issue». Выбираем пункт и пишем тайтл и дескрипшн ишьюса.\n", + "5. Какие данные рекомендуется указывать в описании Issue для лучшего понимания задачи?\n", + "- В поле для текста комментария напишите описание вашей проблемы.\n", + "6. Какие теги (labels) можно добавить к Issue? Какие из них стандартные?\n", + "- bug — ошибка\n", + "- enhancement — улучшение\n", + "- documentation — документация\n", + "- good first issue — подходит новичкам\n", + "- help wanted — нужна помощь\n", + "- question — вопрос\n", + "7. Как прикрепить Assignees (ответственных) к Issue?\n", + "- Открыть Issue\n", + "- Справа в панели найди Assignees\n", + "- Нажми на шестерёнку или поле\n", + "- Выбери нужного участника репозитория\n", + "\n", + "## Работа с Issues\n", + "8. Как использовать Labels для классификации задач?\n", + "- типа задачи → bug, feature, refactor\n", + "- приоритета → high, medium, low\n", + "- области проекта → frontend, backend, UI\n", + "- статуса → in progress, review, blocked\n", + "9. Для чего нужен Milestone, и как связать его с Issue?\n", + "- Контрольная точка (релиз, спринт, версия), к которой должны быть выполнены задачи (Дедлайн).\n", + "10. Как привязать Issue к пул-реквесту (Pull Request)?\n", + "- В PR справа есть раздел:\n", + "1) Linked issues\n", + "2) выбираем нужный Issue\n", + "11. Как добавить комментарий к существующему Issue?\n", + "- Открыть Issue\n", + "- Внизу страницы есть поле для комментария\n", + "- Написать текст\n", + "- Нажать Comment\n", + "\n", + "## Закрытие и завершение Issues\n", + "12. Как закрыть Issue вручную?\n", + "- внизу страницу с открытым ишьюсом есть кнопка \"Close issue\".\n", + "13. Можно ли автоматически закрыть Issue с помощью сообщения в коммите или пул-реквесте? Как это сделать?\n", + "- В сообщении коммита или в описании Pull Request нужно написать:\n", + "Пример:\n", + "git commit -m \"Fix login validation. Closes #15\"\n", + "14. Как повторно открыть закрытое Issue, если работа ещё не завершена?\n", + "- кнопка \"Reopen issue\".\n", + "\n", + "## Фильтрация и поиск\n", + "15. Как найти все открытые или закрытые Issues в репозитории?\n", + "- Во вкладке Issues:\n", + " Нажать Open — все открытые\n", + " Нажать Closed — все закрытые\n", + "16. Как использовать фильтры для поиска Issues по меткам, исполнителям или другим критериям?\n", + "В строке поиска Issues можно писать:\n", + "- По метке:\n", + " label:bug\n", + "- По исполнителю:\n", + " assignee:username\n", + "- Без назначенного:\n", + " no:assignee\n", + "- По автору:\n", + " author:username\n", + "- По milestone:\n", + " milestone:\"Sprint 1\"\n", + "17. Как сортировать Issues по приоритету, дате создания или другим параметрам?\n", + "- В разделе Issues есть выпадающее меню Sort. Можно сортировать по:\n", + " Newest (новые)\n", + " Oldest (старые)\n", + " Most commented\n", + " Least commented\n", + " Recently updated\n", + "## Интеграции и автоматизация\n", + "18. Как настроить автоматические уведомления о новых или изменённых Issues?\n", + "- Нажать Watch в репозитории:\n", + " All Activity\n", + " Participating\n", + " Custom\n", + "- Настроить уведомления в:\n", + " Settings → Notifications\n", + "19. Что такое Projects в контексте GitHub, и как связать их с Issues?\n", + "- Projects — это Kanban-доска или система управления задачами внутри GitHub.\n", + " Позволяет:\n", + " двигать задачи по колонкам (To Do / In Progress / Done)\n", + " отслеживать статус проекта\n", + " Как связать Issue с Project:\n", + " Открыть Issue\n", + " Справа выбрать Projects\n", + " Добавить в нужный проект\n", + "20. Какие сторонние инструменты можно использовать для автоматизации работы с Issues (например, боты, Webhooks)?\n", + "- GitHub Actions — автоматизация workflow\n", + " Webhooks — отправка событий во внешние сервисы\n", + " Probot — боты для GitHub\n", + " Jira Integration\n", + "\n", + "## Коллаборация\n", + "21. Как упомянуть другого пользователя в комментарии к Issue?\n", + "- Использовать @username. \n", + "22. Как запросить дополнительные данные или уточнения у автора Issue?\n", + "- Написать комментарий в Issue\n", + " Упомянуть автора через @username\n", + " Чётко указать, что требуется\n", + "23. Что делать, если Issue неактуально или его нужно объединить с другим?\n", + "- Если неактуально:\n", + " написать комментарий с причиной\n", + " нажать Close issue\n", + "- Если нужно объединить:\n", + " выбрать один основной Issue\n", + " в остальных дать ссылку на него\n", + " закрыть лишние\n", + "\n", + "## Практические аспекты\n", + "24. Как использовать шаблоны для создания Issues?\n", + "- Шаблоны создаются в репозитории:\n", + " .github/ISSUE_TEMPLATE/\n", + " Можно создать:\n", + " bug_report.md\n", + " feature_request.md\n", + "- После этого при создании Issue GitHub предложит выбрать шаблон.\n", + "25. Что такое Linked Issues, и как создать связь между задачами?\n", + "- Это связанные задачи.\n", + "26. Какие метрики (например, время выполнения) можно отслеживать с помощью Issues?\n", + "- С помощью Issues можно анализировать:\n", + " - Время от создания до закрытия\n", + " - Количество открытых/закрытых задач\n", + " - Velocity (если используются Milestones/Projects)\n", + " - Нагрузку на участников\n", + " - Количество багов по релизу\n", + "27. Какие best practices рекомендуются при работе с Issues в команде?\n", + "- Писать понятный Title\n", + "- Подробно описывать задачу\n", + "- Использовать Labels\n", + "- Назначать ответственного (Assignee)\n", + "- Связывать с PR\n", + "- Закрывать устаревшие задачи\n", + "- Использовать шаблоны\n", + "- Не держать задачи без движения\n", + "- Делать одну задачу — один Issue" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "base", + "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": "3.13.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/python/issues.py b/python/issues.py new file mode 100644 index 00000000..f5891ce2 --- /dev/null +++ b/python/issues.py @@ -0,0 +1,161 @@ +"""TASK ISSUES.""" + +# Вопросы: +# ## Общие вопросы +# 1. Что такое Issues на GitHub и для чего они используются? +# - К примеры для объяснения написанного кода или даже обучение +# программированию, можно так писать ишьюса для выявления багов в +# проекте или улучшения функционала +# 2. Чем Issues отличаются от других инструментов управления задачами? +# - Issues — это лёгкий встроенный таск-менеджер для разработчиков, +# тесно связанный с кодом. +# 3. Какие основные компоненты (поля) есть у каждого Issue? +# - Title (Заголовок) — краткое описание проблемы +# - Description (Описание) — подробности задачи +# - Author (Автор) — кто создал +# - Comments (Комментарии) — обсуждение +# +# ## Создание Issues +# 4. Как создать новое Issue в репозитории? +# - Под названием вашего репозитория нажмите «Issues» . Нажмите «New Issue». +# Выбираем пункт и пишем тайтл и дескрипшн ишьюса. +# 5. Какие данные рекомендуется указывать в описании Issue для лучшего +# понимания задачи? +# - В поле для текста комментария напишите описание вашей проблемы. +# 6. Какие теги (labels) можно добавить к Issue? Какие из них стандартные? +# - bug — ошибка +# - enhancement — улучшение +# - documentation — документация +# - good first issue — подходит новичкам +# - help wanted — нужна помощь +# - question — вопрос +# 7. Как прикрепить Assignees (ответственных) к Issue? +# - Открыть Issue +# - Справа в панели найди Assignees +# - Нажми на шестерёнку или поле +# - Выбери нужного участника репозитория +# +# ## Работа с Issues +# 8. Как использовать Labels для классификации задач? +# - типа задачи → bug, feature, refactor +# - приоритета → high, medium, low +# - области проекта → frontend, backend, UI +# - статуса → in progress, review, blocked +# 9. Для чего нужен Milestone, и как связать его с Issue? +# - Контрольная точка (релиз, спринт, версия), к которой должны быть +# выполнены задачи (Дедлайн). +# 10. Как привязать Issue к пул-реквесту (Pull Request)? +# - В PR справа есть раздел: +# 1) Linked issues +# 2) выбираем нужный Issue +# 11. Как добавить комментарий к существующему Issue? +# - Открыть Issue +# - Внизу страницы есть поле для комментария +# - Написать текст +# - Нажать Comment +# +# ## Закрытие и завершение Issues +# 12. Как закрыть Issue вручную? +# - внизу страницу с открытым ишьюсом есть кнопка "Close issue". +# 13. Можно ли автоматически закрыть Issue с помощью сообщения в коммите +# или пул-реквесте? Как это сделать? +# - В сообщении коммита или в описании Pull Request нужно написать: +# Пример: +# git commit -m "Fix login validation. Closes #15" +# 14. Как повторно открыть закрытое Issue, если работа ещё не завершена? +# - кнопка "Reopen issue". +# +# ## Фильтрация и поиск +# 15. Как найти все открытые или закрытые Issues в репозитории? +# - Во вкладке Issues: +# Нажать Open — все открытые +# Нажать Closed — все закрытые +# 16. Как использовать фильтры для поиска Issues по меткам, исполнителям +# или другим критериям? +# В строке поиска Issues можно писать: +# - По метке: +# label:bug +# - По исполнителю: +# assignee:username +# - Без назначенного: +# no:assignee +# - По автору: +# author:username +# - По milestone: +# milestone:"Sprint 1" +# 17. Как сортировать Issues по приоритету, дате создания или +# другим параметрам? +# - В разделе Issues есть выпадающее меню Sort. Можно сортировать по: +# Newest (новые) +# Oldest (старые) +# Most commented +# Least commented +# Recently updated +# ## Интеграции и автоматизация +# 18. Как настроить автоматические уведомления о новых или изменённых Issues? +# - Нажать Watch в репозитории: +# All Activity +# Participating +# Custom +# - Настроить уведомления в: +# Settings → Notifications +# 19. Что такое Projects в контексте GitHub, и как связать их с Issues? +# - Projects — это Kanban-доска или система управления задачами внутри GitHub. +# Позволяет: +# двигать задачи по колонкам (To Do / In Progress / Done) +# отслеживать статус проекта +# Как связать Issue с Project: +# Открыть Issue +# Справа выбрать Projects +# Добавить в нужный проект +# 20. Какие сторонние инструменты можно использовать для автоматизации +# работы с Issues (например, боты, Webhooks)? +# - GitHub Actions — автоматизация workflow +# Webhooks — отправка событий во внешние сервисы +# Probot — боты для GitHub +# Jira Integration +# +# ## Коллаборация +# 21. Как упомянуть другого пользователя в комментарии к Issue? +# - Использовать @username. +# 22. Как запросить дополнительные данные или уточнения у автора Issue? +# - Написать комментарий в Issue +# Упомянуть автора через @username +# Чётко указать, что требуется +# 23. Что делать, если Issue неактуально или его нужно объединить с другим? +# - Если неактуально: +# написать комментарий с причиной +# нажать Close issue +# - Если нужно объединить: +# выбрать один основной Issue +# в остальных дать ссылку на него +# закрыть лишние +# +# ## Практические аспекты +# 24. Как использовать шаблоны для создания Issues? +# - Шаблоны создаются в репозитории: +# .github/ISSUE_TEMPLATE/ +# Можно создать: +# bug_report.md +# feature_request.md +# - После этого при создании Issue GitHub предложит выбрать шаблон. +# 25. Что такое Linked Issues, и как создать связь между задачами? +# - Это связанные задачи. +# 26. Какие метрики (например, время выполнения) можно отслеживать с +# помощью Issues? +# - С помощью Issues можно анализировать: +# - Время от создания до закрытия +# - Количество открытых/закрытых задач +# - Velocity (если используются Milestones/Projects) +# - Нагрузку на участников +# - Количество багов по релизу +# 27. Какие best practices рекомендуются при работе с Issues в команде? +# - Писать понятный Title +# - Подробно описывать задачу +# - Использовать Labels +# - Назначать ответственного (Assignee) +# - Связывать с PR +# - Закрывать устаревшие задачи +# - Использовать шаблоны +# - Не держать задачи без движения +# - Делать одну задачу — один Issue diff --git a/python/venv.ipynb b/python/venv.ipynb new file mode 100644 index 00000000..7b722bab --- /dev/null +++ b/python/venv.ipynb @@ -0,0 +1,140 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "11a13218", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"[TASK] Виртуальное окружение.\"\"\"" + ] + }, + { + "attachments": { + "image-2.png": { + "image/png": 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" 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" + } + }, + "cell_type": "markdown", + "id": "85143ae8", + "metadata": {}, + "source": [ + "1. Что делает команда python -m venv venv?\n", + "1.1 Что делает каждая команда в списке ниже?\n", + "![image.png](attachment:image.png)\n", + "\n", + "2. Что делает каждая команда в списке ниже?\n", + "![image-2.png](attachment:image-2.png)\n", + "\n", + "3. вставьте скрин вашего терминала, где вы активировали сначала venv, потом conda, назовите окружение \"SENATOROV\"\n", + "\n", + "4. Как установить необходимые пакеты внутрь виртуального окружения для conda/venv?\n", + "\n", + "5. Что делают эти команды?\n", + "pip freeze > requirements.txt\n", + "conda env export > environment.yml\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", + "\n", + "6. Что делают эти команды?\n", + "pip install -r requirements.txt\n", + "conda env create -f environment.yml.\n", + "\n", + "7. Что делают эти команды?\n", + "pip list\n", + "pip show,\n", + "conda list\n", + "\n", + "8. Где по умолчанию больше пакетов venv/pip или conda? и почему дата сайнинисты используют conda?\n", + "\n", + "9. вставьте скрин где будет видно, Выбор интерпретатора Python (conda) в VS Code/cursor\n", + "\n", + "10. добавьте в .gitignore папку SENATOROV\n", + "\n", + "11. Зачем нужно виртуально окружение?\n", + "\n", + "12. С этого момента надо работать в виртуальном окружении conda, ты научился(-ась) выгружать зависимости и работать с окружением?\n", + "\n", + "13. Удалите папку VENV, она больше не нужна, мы же не разрабы, нам нужна только conda" + ] + }, + { + "attachments": { + "image-2.png": { + "image/png": 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" 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" 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" 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" + } + }, + "cell_type": "markdown", + "id": "6f827041", + "metadata": {}, + "source": [ + "1. Создает виртуальное окружение в папке с названием venv\n", + "1.1 pip list: Выводит список всех установленных в текущем окружении пакетов и их версии.\n", + " pip freeze > requirements.txt: Сохраняет список всех установленных библиотек с их точными версиями в текстовый файл.\n", + " pip install -r requirements.txt: Устанавливает все библиотеки, перечисленные в указанном текстовом файле.\n", + "\n", + "2. conda env list: Показывает список всех созданных виртуальных окружений Conda и путь к ним.\n", + " conda create -n env_name python=3.5: Создает новое окружение с именем env_name и устанавливает в него Python версии 3.5.\n", + " conda env update -n env_name -f file.yml: Обновляет пакеты в окружении env_name, используя список зависимостей из файла конфигурации .yml.\n", + " source activate env_name: Активирует виртуальное окружение (переключает терминал на работу внутри него).\n", + " source deactivate: Выходит из текущего виртуального окружения в базовое.\n", + " conda clean -a: Удаляет неиспользуемые пакеты, кэш загрузок и временные файлы для очистки места на диске.\n", + "\n", + "3. 1) ![image-2.png](attachment:image-2.png)\n", + " 2) ![image-3.png](attachment:image-3.png)\n", + "\n", + "4. venv:\n", + " 1. Активируйте окружение (Windows: `venv\\Scripts\\activate`, Linux/macOS: `source venv/bin/activate`)\n", + " 2. Используйте pip: `pip install имя_пакета`\n", + " conda:\n", + " 1. Активируйте окружение: `conda activate env_name` (или `source activate env_name` на Linux/macOS)\n", + " 2. Используйте conda: `conda install имя_пакета` или pip: `pip install имя_пакета`\n", + "\n", + "5. pip freeze > requirements.txt - сохраняет все зависимости виртуального/глобального проекта в файл requirements.txt\n", + " conda env export > environment.yml - сохраняет все зависимости для Data Science виртуального/глобального проекта в файл environment.yml\n", + "5.1 ![image.png](attachment:image.png) \n", + "\n", + "6. pip install -r requirements.txt - устанавливает через pip зависимости из файла requirements.txt\n", + " conda env create -f environment.yml. - создает виртуальное окружение с помощью conda основанное на описание из environment.yml\n", + "\n", + "7. pip list - выводит список всех установленных пакетов Python с их версиями в текущем окружении.\n", + " pip show имя_пакета - выводит подробную информацию о конкретном пакете.\n", + " conda list - выводит список всех установленных пакетов в текущем conda-окружении с их версиями и источниками установки.\n", + "\n", + "8. Обычно в conda, так как это уже готовая сборка под DS\n", + "дата сайнинисты используют обычно conda из-за того, что она специально настроена и имеет нужные пакеты для работы с DS\n", + "\n", + "9. ![image-4.png](attachment:image-4.png)\n", + "\n", + "10. ![image-5.png](attachment:image-5.png)\n", + "\n", + "11. Для изолированной работы от глобального окружения, в виртуальном окружении связанным непосредственно с текущим проектом и его задачами.\n", + "12. Да\n", + "13. Удалил" + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/python/venv.py b/python/venv.py new file mode 100644 index 00000000..c4fee993 --- /dev/null +++ b/python/venv.py @@ -0,0 +1,67 @@ +"""[TASK] Виртуальное окружение.""" + +# Ответы +# 1. Создает виртуальное окружение в папке с названием venv +# 1.1 pip list: Выводит список всех установленных в текущем +# окружении пакетов и их версии. +# pip freeze > requirements.txt: Сохраняет список всех +# установленных библиотек с их точными версиями в текстовый файл. +# pip install -r requirements.txt: Устанавливает все +# библиотеки, перечисленные в указанном текстовом файле. +# +# 2. conda env list: Показывает список всех созданных виртуальных +# окружений Conda и путь к ним. +# conda create -n env_name python=3.5: Создает новое окружение +# с именем env_name и устанавливает в него Python версии 3.5. +# conda env update -n env_name -f file.yml: Обновляет пакеты в +# окружении env_name, используя список зависимостей из файла конфигурации .yml. +# source activate env_name: Активирует виртуальное окружение +# (переключает терминал на работу внутри него). +# source deactivate: Выходит из текущего виртуального окружения в базовое. +# conda clean -a: Удаляет неиспользуемые пакеты, кэш загрузок и +# временные файлы для очистки места на диске. +# +# 3. 1) ![image-2.png](attachment:image-2.png) +# 2) ![image-3.png](attachment:image-3.png) +# +# 4. venv: +# 1. Активируйте окружение (Windows: `venv\Scripts\activate`, +# Linux/macOS: `source venv/bin/activate`) +# 2. Используйте pip: `pip install имя_пакета` +# conda: +# 1. Активируйте окружение: `conda activate env_name` +# (или `source activate env_name` на Linux/macOS) +# 2. Используйте conda: `conda install имя_пакета` +# или pip: `pip install имя_пакета` +# +# 5. pip freeze > requirements.txt - сохраняет все зависимости +# виртуального/глобального проекта в файл requirements.txt +# conda env export > environment.yml - сохраняет все зависимости +# для Data Science виртуального/глобального проекта в файл environment.yml +# 5.1 ![image.png](attachment:image.png) +# +# 6. pip install -r requirements.txt - устанавливает через pip +# зависимости из файла requirements.txt +# conda env create -f environment.yml. - создает виртуальное +# окружение с помощью conda основанное на описание из environment.yml +# +# 7. pip list - выводит список всех установленных пакетов +# Python с их версиями в текущем окружении. +# pip show имя_пакета - выводит подробную информацию о конкретном +# пакете. +# conda list - выводит список всех установленных пакетов +# в текущем conda-окружении с их версиями и источниками установки. +# +# 8. Обычно в conda, так как это уже готовая сборка под DS +# дата сайнинисты используют обычно conda из-за того, что она +# специально настроена и имеет нужные пакеты для работы с DS +# +# 9. ![image-4.png](attachment:image-4.png) +# +# 10. ![image-5.png](attachment:image-5.png) +# +# 11. Для изолированной работы от глобального окружения, в +# виртуальном окружении связанным непосредственно с текущим +# проектом и его задачами. +# 12. Да +# 13. Удалил diff --git a/quiz1.ipynb b/quiz1.ipynb new file mode 100644 index 00000000..1df39166 --- /dev/null +++ b/quiz1.ipynb @@ -0,0 +1,201 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "b592c85c", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"Quiz 1.\"\"\"" + ] + }, + { + "cell_type": "markdown", + "id": "e0c69c8c", + "metadata": {}, + "source": [ + "1) Как понять, что домашка пришла?\n", + "2) Как принять домашку?\n", + "3) Зачем нужна кнопка history и какие функции появляются при нажатии правой кнопки мыши на коммит?\n", + "3.1) Где брать ссылку на коммит? куда её отправлять? \n", + "4) Что такое файл лога? \n", + "4.1) Когда нужно его пушить?\n", + "5) Что такое интерпритатор? \n", + "6) Где можно выбрать интерпритатор?\n", + "7) Что такое модуль? \n", + "8) Как создать и отправить коммит?\n", + "9) Как посмотреть что коммит точно отправлен и находится в github?\n", + "10) Какая команда показывает что код не прошёл проверки на ошибки? \n", + "10.1) Напишите список линтеров которые используются для проверки кода и дайте их краткую характеристику.\n", + "11) Как узнать какой именно линтер не прошёл проверку?\n", + "12) Линтер Pylint видит markdown?\n", + "13) Номер ячейки в терминале и номер ячейки в vs code может отличаться? в каком случае?\n", + "14) Где посмотреть номер ячейки в vscode?\n", + "15) В каком формате ipynb отправляется в гитхаб? причём здесь JSON?\n", + "16) Где посмотреть в какой ячейке ошибка?\n", + "17) Как запустить терминал?\n", + "18) Что такое линтер?\n", + "19) В какой сайт нужно вставлять код ошибки если ошибка связана с pylint?\n", + "20) Секция pydocstyle в большинстве случае автоматический закрывается после исправления ошибок в каком линтере?\n", + "21) Что такое описание модуля? Оно должно отражать информацию о том что находится в модуле?\n", + "21.1) С какой git команды начинается утро программиста?\n", + "22) После внесения изменений в файлах, кнопка open in vs code пропадает в кошке, как по другому открыть vs code из кошки?\n", + "23) Что такое stash? \n", + " Общее объяснение концепции.\n", + "23.1) Как сохранить стэш?\n", + " git командa(подсказка: https://t.me/c/1937296927/3602/19531): \n", + "\n", + " Кнопка в vs code:\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", + "\n", + "23.3) Различие между стэшем и коммитом. \n", + " Когда лучше сохранить изменения в стэше, а когда коммитить.\n", + "23.4) Как просмотреть список сохраненных стэшей? \n", + " git команда (подсказка: https://t.me/c/1937296927/3602/19531):\n", + "\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", + "\n", + "23.6) Практические примеры использования стэша. \n", + " Краткие сценарии, где стэш помогает.\n", + "\n", + "24) Где посмотреть что есть конфликт в файлах? \n", + "24.1) Когда он появляется?\n", + "25) Как решить конфликт в файлах?\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", + "27) Если мы работаем в одном файле, можно ли принять pull после того как вы спрячете в стэш свои изменения? \n", + "27.1) Что может произойти когда stash восстановите после принятия pull?\n", + "28) Сколько способов решения конфликтов было показано в видео? Напишите ЧИСЛО и укажите их способы.\n", + "29) Что делает кнопка complete merge?\n", + "30) В какой чат нужно писать если остались вопросы?\n", + "31) Что такое FORK? Зачем его делают? \n", + "32) Как скачать форкнутый репозиторий на локальный компьютер?\n", + "33) С какой вероятностью ваши ошибки были уже решены? и кто их решил?\n", + "34) Как создать файл в vs code?\n", + "35) Файл лога нужно заполнять в конце каждого урока?\n", + "==================\n", + "\n", + "Дополнительные вопросы:\n", + "1)Какая команда конвертирует файл в py из 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", + "3) Почему расширение py лучше чем ipynb?\n", + "4) Что такое pep8? \n", + "подсказка:https://peps.python.org/pep-0008/\n", + "4.1) линтеры проверяют на соблюдение pep8?\n", + "4.2) Какая нотация используется для создания переменных? \n", + "ответ на 85-95 страницы https://t.me/c/1937296927/1/16676\n", + "4.3) Может ли переменная состоять из одной буквы например андерскор \"_\" ?\n", + "4.4) Зачем и где мы используем андерскор _ \n", + "4.5) По PEP8 допустима переменная в одну букву?\n", + "ответ на 85-95 страницы https://t.me/c/1937296927/1/16676\n" + ] + }, + { + "cell_type": "markdown", + "id": "83b9f176", + "metadata": {}, + "source": [ + "#### Ответы\n", + "1) 0:11 Заходим в чат Homework, если написан ник и прими пул, значит домашка пришла\n", + "2) 0:22 Заходим Github Desktop, нажимаем на окно \"Pull origin\", ждём, и смотрим в history, смотрим самый свежий коммит\n", + "3) History нужен для просмотра всех коммитов, функции при нажатии правой кнопкой мыши на коммит:\n", + " Revert Changes in Commit (Откатить изменения): Создает новый коммит, который делает всё ровно наоборот по сравнению с выбранным. Это безопасный способ отменить правки, не удаляя историю.\n", + " Create Branch from Commit (Создать ветку из коммита): Позволяет «вернуться в прошлое» и начать новую ветку разработки именно с этого момента.\n", + " Soft Undo / Amend (только для самого последнего коммита): Позволяет «разжать» последний коммит, чтобы добавить в него забытый файл или исправить опечатку в описании.\n", + " Copy SHA (Копировать идентификатор): Копирует уникальный хэш-код коммита (например, a1b2c3d). Это нужно для работы в терминале или обсуждения конкретной правки с коллегами.\n", + " Cherry-pick (Перенос коммита): Позволяет скопировать этот конкретный коммит и вставить его в вашу текущую рабочую ветку.\n", + " Squash (Объединение): Если вы выберете несколько коммитов, их можно объединить в один, чтобы история выглядела чище.\n", + "3.1) в Github Desktop, правой кнопкой мыши нажимаем на коммит и нажимаем на \"View on Github\", нас переносит на Github и копируем ссылку на коммит и отправляем его в чат homework, пишем \"Коммит отдал\"\n", + "4) Файл лога нужен для логирования(отчётности) уроков, нужно заполнять в конце каждого урока, что сделал в течение урока\n", + "4.1) После заполнения и проверки на ошибки\n", + "5) 2:48 Интерпретатор - это программа, которая читает и запускает наш код (построчно)\n", + "6) После запуска ячейки в выпадающем окне либо в правом верхнем углу\n", + "7) Это файл с расширением .py или .ipynb\n", + "8) Создать файл с расширением .ipynb, заполнить, проверить на ошибки и линтеры, отправить через Github Desktop \"Commit file to main\"\n", + "9) Во вкладке history, нажать правой кнопкой мыши на коммит \"View on Github\" и нас перекинет на коммит\n", + "10) Команда в терминале pre-commit run --all-files\n", + "10.1) black: Автоматически расставляет отступы, скобки и кавычки по единому стандарту.\n", + " isort: Сортирует импорты по алфавиту и разделяет их на группы (стандартные библиотеки, сторонние, локальные).\n", + " docformatter: Форматирует строки документации (docstrings) в соответствии с PEP 257.\n", + " jupytext: Конвертирует ноутбуки (.ipynb) в обычные скрипты (.py) и обратно, позволяя хранить их в Git в текстовом виде.\n", + " pyupgrade: Автоматически обновляет старый синтаксис Python на более современный.\n", + " codespell: Ищет и исправляет опечатки в словах в коде и комментариях.\n", + " flake8: Проверяет соблюдение стиля PEP 8, находит неиспользуемые переменные и синтаксические ошибки.\n", + " pylint: Глубокий анализ кода. Проверяет логику, находит потенциальные баги и выставляет оценку качеству кода.\n", + " pydocstyle: Проверяет наличие и правильность написания документации (docstrings) к функциям и классам.\n", + " mypy: Статический анализатор типов. \n", + "11) в терминале после команды pre-commit run --all-files, рядам с линтером будет стоять Failed\n", + "12) нет\n", + "13) Да, markdown не считаются за ячейки\n", + "14) Справа снизу\n", + "15) Файлы ipynb отпраляются на гитхаб в формате JSON\n", + "16) По коду ошибки или Ctrl+F\n", + "17) Terminal - New Terminal\n", + "18) Линтер — это автоматический «корректор» вашего кода\n", + "19) На сайт pylint.readthedocs.io\n", + "20) Pylint\n", + "21) Это описание того, что находится в модуле. Да\n", + "22) Слева нажимаем на \"Current repository\" и далее нажать на \"Open VS Code\"\n", + "23) Стэш - это буфер куда мы временно прячем файлы, чтобы принять pull\n", + "23.1) git stash save \"NAME_STASH\"\n", + " git stash apply \"NUMBER_STASH\"\n", + "23.2) В VS Code во вкладке Changes \"View Stash\", \"Restore\"\n", + " git команды:\n", + " git stash apply — возвращает изменения, но оставляет их в списке стэшей (на всякий случай).\n", + " git stash pop — возвращает изменения и сразу удаляет их из списка «заначек» (самый частый вариант).\n", + "23.3) Коммитить - когда мы завершили действия и можем выложить в ветку. \n", + " Стэшить - когда мы не завершили работу и хотим вернуться, чтобы доделать.\n", + "23.4) Git команда: git stash list (Она покажет список в формате stash@{0}, stash@{1} и т.д.)\n", + "23.5) Удалить последний (или конкретный): git stash drop stash@{0}\n", + " Очистить всё сразу (удалить все заначки): git stash clear\n", + "23.6) Спрятать изменения в моменте, когда нужно поработать над другой задачей Спрятать изменения, когда возник конфликт.\n", + "24) Рядом с файлом readme будет стоять треугольник с восклицательным знаком. Нажимаем Open in VS Code. Зеленым цветом будет выделено то, что с гитхаба, синим - локальные изменения. \n", + "24.1) Когда в файле работвют одновременно два человека.\n", + "25) Нажать Reserve in Merge Editor, Complete Merge.\n", + "26) Зеленое - с гитхаба. Синее - локальные изменения.\n", + "27) Да, можно. Когда вы делаете git stash, ваша рабочая директория становится «чистой» (соответствует последнему коммиту). Это позволяет Git беспрепятственно выполнить git pull и обновить файл данными из удаленного репозитория, так как локальных незафиксированных изменений больше нет.\n", + "27.1) Может произойти конфликт.\n", + "28) 2 способа. Первый способ - с помощью Accept Incoming Change, Accept Current Change, Accept Both Changes \n", + " Второй способ - вручную удалить то что не нужно.\n", + "29) Смерживает конечные изменения из конфликтов в один.\n", + "30) в чат HELP ME \n", + "31) Форк - это копия чужого репозитория. Чтобы вносить изменения, не затрагивая оригинала.\n", + "32) Нажать на него, выбрать Open in GitHub Desktop, затем Clone. Либо через терминал \"git clone \"сслыка на форк\"\"\n", + "33) C вероятностью 90%. Их решил Сенаторов Руслан Олегович.\n", + "34) Нажать на листочек с плюсиком и ввести название и формат файла.\n", + "35) ДА\n", + "\n", + "#### Ответы на Дополнительные вопросы:\n", + "1) jupitex --to py \n", + "2) Пакетный менеджер - инструмент для установки и управления библиотеками/пакетами Для Data Science лучше использовать Conda - он упраляет не только Python-пакетами, но и зависимостями системы, библиотеками (NumPy, SciPy) с нативными расширениями.\n", + "3) Удобнее для версионирования (Git лучше работает с текстом), линтеры (Pilint, Pidocstyle) корректно работают только .py, проще ревью кода, лучше для продакшн-кода и автоматизации\n", + "4) официальный стиль кода Python\n", + "4.1) Да. Flake8 и Pylint проверяют на соответствие pep8. \n", + "4.2) snake_case (нижнее подчеркивание), например, first_variable \n", + "4.3) Да. \n", + "4.4) в начале два и конце переменных\n", + "4.5) Да, но не рекомендовано для обычных переменных. Лучше использовать понятные имена. Исключения - в циклах, в малых областях видимости.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "base", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.13.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/quiz1.py b/quiz1.py new file mode 100644 index 00000000..a61a2462 --- /dev/null +++ b/quiz1.py @@ -0,0 +1,224 @@ +"""Quiz 1.""" + +# 1) Как понять, что домашка пришла? +# 2) Как принять домашку? +# 3) Зачем нужна кнопка history и какие функции появляются при +# нажатии правой кнопки мыши на коммит? +# 3.1) Где брать ссылку на коммит? куда её отправлять? +# 4) Что такое файл лога? +# 4.1) Когда нужно его пушить? +# 5) Что такое интерпритатор? +# 6) Где можно выбрать интерпритатор? +# 7) Что такое модуль? +# 8) Как создать и отправить коммит? +# 9) Как посмотреть что коммит точно отправлен и находится в github? +# 10) Какая команда показывает что код не прошёл проверки наошибки? +# 10.1) Напишите список линтеров которые используются для проверки +# кода и дайте их краткую характеристику. +# 11) Как узнать какой именно линтер не прошёл проверку? +# 12) Линтер Pylint видит markdown? +# 13) Номер ячейки в терминале и номер ячейки в vs code может +# отличаться? в каком случае? +# 14) Где посмотреть номер ячейки в vscode? +# 15) В каком формате ipynb отправляется в гитхаб? причём здесь +# JSON? +# 16) Где посмотреть в какой ячейке ошибка? +# 17) Как запустить терминал? +# 18) Что такое линтер? +# 19) В какой сайт нужно вставлять код ошибки если ошибка связана с pylint? +# 20) Секция pydocstyle в большинстве случае автоматический +# закрывается после исправления ошибок в каком линтере? +# 21) Что такое описание модуля? Оно должно отражать информацию о +# том что находится в модуле? +# 21.1) С какой git команды начинается утро программиста? +# 22) После внесения изменений в файлах, кнопка open in vs code +# пропадает в кошке, как по другому открыть vs code из кошки? +# 23) Что такое stash? +# Общее объяснение концепции. +# 23.1) Как сохранить стэш? +# git командa(подсказка: https://t.me/c/1937296927/3602/19531): +# +# Кнопка в vs code: +# +# 23.2) Как восстановить стэш(подсказка: https://t.me/c/1937296927/3602/25747) +# +# git команда(подсказка: https://t.me/c/1937296927/3602/19531)?: +# +# 23.3) Различие между стэшем и коммитом. +# Когда лучше сохранить изменения в стэше, а когда коммитить. +# 23.4) Как просмотреть список сохраненных стэшей? +# git команда (подсказка: https://t.me/c/1937296927/3602/19531): +# +# 23.5) Как удалить стэш? +# Команды для удаления отдельных стэшей или всех сразу. +# git команда (подсказка: https://t.me/c/1937296927/3602/19531): +# +# 23.6) Практические примеры использования стэша. +# Краткие сценарии, где стэш помогает. +# +# 24) Где посмотреть что есть конфликт в файлах? +# 24.1) Когда он появляется? +# 25) Как решить конфликт в файлах? +# 26) Напишиие правильное утверждение +# -Зелёное то что пришло с гитхаба и синее локальные изменения или +# синее то что пришло с гитхаба и зелёное это локальные изменения +# 27) Если мы работаем в одном файле, можно ли принять pull после +# того как вы спрячете в стэш свои изменения? +# 27.1) Что может произойти когда stash восстановите после принятия pull? +# 28) Сколько способов решения конфликтов было показано в видео? +# Напишите ЧИСЛО и укажите их способы. +# 29) Что делает кнопка complete merge? +# 30) В какой чат нужно писать если остались вопросы? +# 31) Что такое FORK? Зачем его делают? +# 32) Как скачать форкнутый репозиторий на локальный компьютер? +# 33) С какой вероятностью ваши ошибки были уже решены? и кто их решил? +# 34) Как создать файл в vs code? +# 35) Файл лога нужно заполнять в конце каждого урока? +# ================== +# +# Дополнительные вопросы: +# 1)Какая команда конвертирует файл в py из ipynb? +# подсказка https://t.me/c/1937296927/1/26527 +# 2) Что такое пакетный менеджер? Вы пользуетесь пакетным менеджером +# conda или pip? Какой лучше использовать для дата сайнс? +# 3) Почему расширение py лучше чем ipynb? +# 4) Что такое pep8? +# подсказка:https://peps.python.org/pep-0008/ +# 4.1) линтеры проверяют на соблюдение pep8? +# 4.2) Какая нотация используется для создания переменных? +# ответ на 85-95 страницы https://t.me/c/1937296927/1/16676 +# 4.3) Может ли переменная состоять из одной буквы например андерскор "_" ? +# 4.4) Зачем и где мы используем андерскор _ +# 4.5) По PEP8 допустима переменная в одну букву? +# ответ на 85-95 страницы https://t.me/c/1937296927/1/16676 +# + +# #### Ответы +# 1) 0:11 Заходим в чат Homework, если написан ник и прими пул, значит +# домашка пришла +# 2) 0:22 Заходим Github Desktop, нажимаем на окно "Pull origin", +# ждём, и смотрим в history, смотрим самый свежий коммит +# 3) History нужен для просмотра всех коммитов, функции при нажатии +# правой кнопкой мыши на коммит: +# Revert Changes in Commit (Откатить изменения): Создает новый +# коммит, который делает всё ровно наоборот по сравнению с выбранным. +# Это безопасный способ отменить правки, не удаляя историю. +# Create Branch from Commit (Создать ветку из коммита): +# Позволяет «вернуться в прошлое» и начать новую ветку разработки именно +# с этого момента. +# Soft Undo / Amend (только для самого последнего коммита): +# Позволяет «разжать» последний коммит, чтобы добавить в него забытый +# файл или исправить опечатку в описании. +# Copy SHA (Копировать идентификатор): Копирует уникальный хэш-код +# коммита (например, a1b2c3d). Это нужно для работы в терминале или +# обсуждения конкретной правки с коллегами. +# Cherry-pick (Перенос коммита): Позволяет скопировать +# этот конкретный коммит и вставить его в вашу текущую рабочую ветку. +# Squash (Объединение): Если вы выберете несколько коммитов, +# их можно объединить в один, чтобы история выглядела чище. +# 3.1) в Github Desktop, правой кнопкой мыши нажимаем на коммит и +# нажимаем на "View on Github", нас переносит на Github и копируем +# ссылку на коммит и отправляем его в чат homework, пишем "Коммит отдал" +# 4) Файл лога нужен для логирования(отчётности) уроков, нужно +# заполнять в конце каждого урока, что сделал в течение урока +# 4.1) После заполнения и проверки на ошибки +# 5) 2:48 Интерпретатор - это программа, которая читает и запускает +# наш код (построчно) +# 6) После запуска ячейки в выпадающем окне либо в правом верхнем углу +# 7) Это файл с расширением .py или .ipynb +# 8) Создать файл с расширением .ipynb, заполнить, проверить на +# ошибки и линтеры, отправить через Github Desktop "Commit file to main" +# 9) Во вкладке history, нажать правой кнопкой мыши на коммит +# "View on Github" и нас перекинет на коммит +# 10) Команда в терминале pre-commit run --all-files +# 10.1) black: Автоматически расставляет отступы, скобки и кавычки +# по единому стандарту. +# isort: Сортирует импорты по алфавиту и разделяет их на +# группы (стандартные библиотеки, сторонние, локальные). +# docformatter: Форматирует строки документации (docstrings) +# в соответствии с PEP 257. +# jupytext: Конвертирует ноутбуки (.ipynb) в обычные скрипты +# (.py) и обратно, позволяя хранить их в Git в текстовом виде. +# pyupgrade: Автоматически обновляет старый синтаксис Python +# на более современный. +# codespell: Ищет и исправляет опечатки в словах в коде и комментариях. +# flake8: Проверяет соблюдение стиля PEP 8, находит +# неиспользуемые переменные и синтаксические ошибки. +# pyylint: Глубокий анализ кода. Проверяет логику, находит +# потенциальные баги и выставляет оценку качеству кода. +# pydocstyle: Проверяет наличие и правильность написания +# документации (docstrings) к функциям и классам. +# mypy: Статический анализатор типов. +# 11) в терминале после команды pre-commit run --all-files, +# рядам с линтером будет стоять Failed +# 12) нет +# 13) Да, markdown не считаются за ячейки +# 14) Справа снизу +# 15) Файлы ipynb отпраляются на гитхаб в формате JSON +# 16) По коду ошибки или Ctrl+F +# 17) Terminal - New Terminal +# 18) Линтер — это автоматический «корректор» вашего кода +# 19) На сайт pylint.readthedocs.io +# 20) Pylint +# 21) Это описание того, что находится в модуле. Да +# 22) Слева нажимаем на "Current repository" и далее нажать на "Open VS Code" +# 23) Стэш - это буфер куда мы временно прячем файлы, чтобы принять pull +# 23.1) git stash save "NAME_STASH" +# git stash apply "NUMBER_STASH" +# 23.2) В VS Code во вкладке Changes "View Stash", "Restore" +# git команды: +# git stash apply — возвращает изменения, но оставляет их +# в списке стэшей (на всякий случай). +# git stash pop — возвращает изменения и сразу удаляет их из +# списка «заначек» (самый частый вариант). +# 23.3) Коммитить - когда мы завершили действия и можем выложить в ветку. +# Стэшить - когда мы не завершили работу и хотим вернуться, +# чтобы доделать. +# 23.4) Git команда: git stash list (Она покажет список в формате +# stash@{0}, stash@{1} и т.д.) +# 23.5) Удалить последний (или конкретный): git stash drop stash@{0} +# Очистить всё сразу (удалить все заначки): git stash clear +# 23.6) Спрятать изменения в моменте, когда нужно поработать над +# другой задачей Спрятать изменения, когда возник конфликт. +# 24) Рядом с файлом readme будет стоять треугольник с +# восклицательным знаком. Нажимаем Open in VS Code. Зеленым цветом +# будет выделено то, что с гитхаба, синим - локальные изменения. +# 24.1) Когда в файле работвют одновременно два человека. +# 25) Нажать Reserve in Merge Editor, Complete Merge. +# 26) Зеленое - с гитхаба. Синее - локальные изменения. +# 27) Да, можно. Когда вы делаете git stash, ваша рабочая +# директория становится «чистой» (соответствует последнему коммиту). +# Это позволяет Git беспрепятственно выполнить git pull и обновить +# файл данными из удаленного репозитория, так как локальных +# незафиксированных изменений больше нет. +# 27.1) Может произойти конфликт. +# 28) 2 способа. Первый способ - с помощью Accept Incoming Change, +# Accept Current Change, Accept Both Changes +# Второй способ - вручную удалить то что не нужно. +# 29) Смерживает конечные изменения из конфликтов в один. +# 30) в чат HELP ME +# 31) Форк - это копия чужого репозитория. Чтобы вносить изменения, +# не затрагивая оригинала. +# 32) Нажать на него, выбрать Open in GitHub Desktop, затем Clone. +# Либо через терминал "git clone "сслыка на форк"" +# 33) C вероятностью 90%. Их решил Сенаторов Руслан Олегович. +# 34) Нажать на листочек с плюсиком и ввести название и формат файла. +# 35) ДА +# +# #### Ответы на Дополнительные вопросы: +# 1) jupitex --to py +# 2) Пакетный менеджер - инструмент для установки и управления +# библиотеками/пакетами Для Data Science лучше использовать Conda - +# он упраляет не только Python-пакетами, но и зависимостями +# системы, библиотеками (NumPy, SciPy) с нативными расширениями. +# 3) Удобнее для версионирования (Git лучше работает с текстом), +# линтеры (Pilint, Pidocstyle) корректно работают только .py, +# проще ревью кода, лучше для продакшн-кода и автоматизации +# 4) официальный стиль кода Python +# 4.1) Да. Flake8 и Pylint проверяют на соответствие pep8. +# 4.2) snake_case (нижнее подчеркивание), например, first_variable +# 4.3) Да. +# 4.4) в начале два и конце переменных +# 4.5) Да, но не рекомендовано для обычных переменных. Лучше +# использовать понятные имена. Исключения - в циклах, в малых +# областях видимости. diff --git a/quiz2.ipynb b/quiz2.ipynb new file mode 100644 index 00000000..649acb74 --- /dev/null +++ b/quiz2.ipynb @@ -0,0 +1,149 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "59a45875", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"Quiz 1.\"\"\"" + ] + }, + { + "cell_type": "markdown", + "id": "feba061a", + "metadata": {}, + "source": [ + "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", + "2. Как настроить перенос строки? \n", + "3. Сколько символов по pep8 разрешено на строке?\n", + "4. Какие способы переноса строк показаны в видео:\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", + "6. Где в vscode находится клиент гита? как в нём отправить коммит? как принять домашку?\n", + "7. Что такое GIT? он локальный? В нём можно посмотреть историю изменений файлов и вернуться к любому коммиту?\n", + "8. Как вставить картинку в маркдаун? \n", + "9. Где посмотреть длину строки в vs code?\n", + "10. Как поменять тип ячейки с питона на маркдаун?\n", + "11. Как запустить сразу все ячейки в юпитере?\n", + "12. Как изменить размер картинки в юпитере? Нужно для этого знать HTML?\n", + "13. Какой хоткей чтобы запустить ячейку с смещением на следующую?\n", + "14. Как включить отображение номеров строк в юпитере(Cell line numbers)?\n", + "15. Что такое \"Go To\" чем это полезно? Как перейти сразу на ошибочную ячейку?\n", + "16. Как очистить вывод ячеек которые уже запущены?\n", + "17. Как работать одновременно в нескольких файлах в VSCODE? Что такое SPLIT?\n", + "18. Каким сочетанием убирается левый сайдбар?\n", + "19. Кнопка два листочка это наши локальные файлы?\n", + "20. Какая ошибка появилась в трассировке при запуске всех ячеек DICT или LIST?\n", + "21. Вы ознакомились с https://t.me/c/1937296927/832/19307? и https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet?\n", + "22. Что такое валидация?\n", + "23. Что такое трассировка ошибки?\n", + "24. Что значит отвалился интерпритатор?\n", + "\n", + "Отвечаете на вопросы в вашем редакторе кода." + ] + }, + { + "cell_type": "markdown", + "id": "56986e5c", + "metadata": {}, + "source": [ + "#### Ответы\n", + "\n", + "1. File -> Auto Save\n", + "2. File -> Preferences -> Settings -> в поисковую строку пишем wrap, в поле Editor в контекстном меню выбираем WordWrapColumn, длина строки 79, нажимаем Enter.\n", + "3. 79\n", + "4. Вариант 1.\n", + "перенос комментариев - с помощью #\n", + "https://youtu.be/Si9MfV8uJ-0?si=U4yGy8-OCkDu1cRZ?=1m55s\n", + "перенос кода - взять в скобки ( )\n", + "https://youtu.be/Si9MfV8uJ-0?si=U4yGy8-OCkDu1cRZ&=2m36s\n", + "Вариант 2.\n", + "длинную переменную разбить на две переменные, затем “склеить\" их, например, name_sum=name_1+name_2\n", + "https://youtu.be/Si9MfV8uJ-0?si=U4yGy8-OCkDu1cRZ&=4m\n", + "\n", + "5. Находится внизу окна редактора, слева.\n", + "6. Клиент находится в левой части окна(три кружочка). Чтобы отправить коммит, пишем коммит, затем нажимаем Commit. Домашка принимается с помощью кнопки Pull.\n", + "7. Git - это контроль версий. да, можно посмотреть\n", + "8. С помощью сочетания клавиш Ctrl+V\n", + "9. Скопировать строку в файл с расширением .py, внизу справа показывается количество символов.\n", + "10. По умолчанию создается тип ячейки Code. Нажать на тип Python и выбрать в ниспадающем меню Markdown.\n", + "11. Нажать Run All - запуск всех ячеек одновременно.\n", + "12. img are, ссылка на картинку и её размер. Да, нужно знать\n", + "13. Shift+Enter\n", + "14. Нажимаем на три точки в правом нижнем углу окна редактора и выбираем Show Cell line Number.\n", + "15. Показывает, в какой ячейке ошибка. Схватываем проблемную ячейку и тащим вниз, нажимаем “Go To”\n", + "16. Нужно нажать Clear All Outputs.\n", + "17. Split Editor позволяет работать одновременно в нескольких файлах.\n", + "18. Ctrl+B, либо просто нажимаем на активное окно.\n", + "19. DA\n", + "20. https://youtu.be/Si9MfV8uJ-0?si=U4yGy8-OCkDu1cRZ&=9m23s\n", + "21. Ознакомился\n", + "22. Это проверка соответствия программного кода определённым правилам.\n", + "23. Это визуализация ошибки\n", + "24. Это означает, что интерпритатор перестал работать или быть доступным, из-за чего программный код, который от него зависел, не может запуститься, выполнить команды или выдать ошибку." + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/quiz2.py b/quiz2.py new file mode 100644 index 00000000..1a8c0c10 --- /dev/null +++ b/quiz2.py @@ -0,0 +1,137 @@ +"""Quiz 1.""" + +# Список вопросов к видео +# https://youtu.be/Si9MfV8uJ-0?si=JXHe-tsgOEwSTI5E +# (НАСТРОЙКА VSCODE, перенос строк, линтеры, работа с ячейками): +# +# (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. +# Если вы знаете ответы на вопросы из Вашего опыта, то таймкоды +# из видео не надо указывать и т.д. +# +# 1. Как включить автосохранение данных в VSCODE? +# 2. Как настроить перенос строки? +# 3. Сколько символов по pep8 разрешено на строке? +# 4. Какие способы переноса строк показаны в видео: +# +# 4.1 Строки с использованием обратного слэша (\) +# +# string_continued = "This is a long string that we want to " \ +# "split across multiple lines." +# print(string_continued) +# +# 4.2 Тройные кавычки (''' или """) +# +# multi_line_string = """This is a string that spans +# multiple lines. You can write freely +# and it will keep the line breaks.""" +# print(multi_line_string) +# +# 4.3 Создание списка строк и объединение с помощью join +# +# strings = [ +# "This is the first line.", +# "This is the second line.", +# "This is the third line." +# ] +# result = "\n".join(strings) # Используем перенос строк '\n' +# print(result) +# +# 4.4 Использование круглых скобок для продолжения строки +# long_string = ( +# "This is a very long string that I would like to " +# "continue on the next line." +# ) +# print(long_string) +# +# 4.5 Форматированные строки (f-строки) с использованием скобок +# letter_a = 5 +# letter_b = 6 +# product_ab = letter_a * letter_b +# +# message = ( +# f"when {letter_a} is multiplied by {letter_b}, " +# f"the result is {product_ab}" +# ) +# print(message) +# +# 4.6 Сложение строк с помощью + +# +# string_part1 = "This is the first part, " +# string_part2 = "and this is the second part." +# full_string = string_part1 + string_part2 +# print(full_string) +# +# 5. Проверка на ошибки c помощью кнопки problems, где она находится? +# 6. Где в vscode находится клиент гита? как в нём отправить коммит? +# как принять домашку? +# 7. Что такое GIT? он локальный? В нём можно посмотреть +# историю изменений файлов и вернуться к любому коммиту? +# 8. Как вставить картинку в маркдаун? +# 9. Где посмотреть длину строки в vs code? +# 10. Как поменять тип ячейки с питона на маркдаун? +# 11. Как запустить сразу все ячейки в юпитере? +# 12. Как изменить размер картинки в юпитере? Нужно для этого знать HTML? +# 13. Какой хоткей чтобы запустить ячейку с смещением на следующую? +# 14. Как включить отображение номеров строк в юпитере(Cell line numbers)? +# 15. Что такое "Go To" чем это полезно? Как перейти сразу на ошибочную ячейку? +# 16. Как очистить вывод ячеек которые уже запущены? +# 17. Как работать одновременно в нескольких файлах в VSCODE? Что такое SPLIT? +# 18. Каким сочетанием убирается левый сайдбар? +# 19. Кнопка два листочка это наши локальные файлы? +# 20. Какая ошибка появилась в трассировке при запуске +# всех ячеек DICT или LIST? +# 21. Вы ознакомились с https://t.me/c/1937296927/832/19307? +# и https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet? +# 22. Что такое валидация? +# 23. Что такое трассировка ошибки? +# 24. Что значит отвалился интерпритатор? +# +# Отвечаете на вопросы в вашем редакторе кода. + +# #### Ответы +# +# 1. File -> Auto Save +# 2. File -> Preferences -> Settings -> в поисковую строку пишем +# wrap, в поле Editor в контекстном меню выбираем WordWrapColumn, +# длина строки 79, нажимаем Enter. +# 3. 79 +# 4. Вариант 1. +# перенос комментариев - с помощью # +# https://youtu.be/Si9MfV8uJ-0?si=U4yGy8-OCkDu1cRZ?=1m55s +# перенос кода - взять в скобки ( ) +# https://youtu.be/Si9MfV8uJ-0?si=U4yGy8-OCkDu1cRZ&=2m36s +# Вариант 2. +# длинную переменную разбить на две переменные, затем “склеить" их, +# например, name_sum=name_1+name_2 +# https://youtu.be/Si9MfV8uJ-0?si=U4yGy8-OCkDu1cRZ&=4m +# +# 5. Находится внизу окна редактора, слева. +# 6. Клиент находится в левой части окна(три кружочка). +# Чтобы отправить коммит, пишем коммит, затем нажимаем Commit. +# Домашка принимается с помощью кнопки Pull. +# 7. Git - это контроль версий. да, можно посмотреть +# 8. С помощью сочетания клавиш Ctrl+V +# 9. Скопировать строку в файл с расширением .py, внизу +# справа показывается количество символов. +# 10. По умолчанию создается тип ячейки Code. Нажать на тип +# Python и выбрать в ниспадающем меню Markdown. +# 11. Нажать Run All - запуск всех ячеек одновременно. +# 12. img are, ссылка на картинку и её размер. Да, нужно знать +# 13. Shift+Enter +# 14. Нажимаем на три точки в правом нижнем +# углу окна редактора и выбираем Show Cell line Number. +# 15. Показывает, в какой ячейке ошибка. Схватываем +# проблемную ячейку и тащим вниз, нажимаем “Go To” +# 16. Нужно нажать Clear All Outputs. +# 17. Split Editor позволяет работать одновременно в нескольких файлах. +# 18. Ctrl+B, либо просто нажимаем на активное окно. +# 19. DA +# 20. https://youtu.be/Si9MfV8uJ-0?si=U4yGy8-OCkDu1cRZ&=9m23s +# 21. Ознакомился +# 22. Это проверка соответствия программного кода определённым правилам. +# 23. Это визуализация ошибки +# 24. Это означает, что интерпритатор перестал работать или +# быть доступным, из-за чего программный код, который от него +# зависел, не может запуститься, выполнить команды или выдать ошибку.