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Практика по Python3 от МФТИ
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Практика по Python3 от МФТИ (2016-2018 год)
Новые курсы МФТИ (2018-2020):
- Курс «Алгоритмы и структуры данных» (2018-2020)
- http://cs.mipt.ru/algo
- https://github.com/mipt-cs/course-algo
- Курс «Практика программирования» (2019)
- https://www.youtube.com/playlist?list=PLRDzFCPr95fLuusPXwvOPgXzBL3ZTzybY (2019)
- https://github.com/tkhirianov/lections_2019
- https://github.com/mipt-cs/course-practice
- Курс «Продвинутое программирование на Python» (2018-2019)
- https://github.com/mipt-cs/course-advanced_python
Курсы Тимофея Хирьянова для «Фоксфорда»:
- Курс «Информатика за пределами ЕГЭ (10-11 класс)
- (2019-2020) https://github.com/tkhirianov/foxford-vne-ege-2019-2020
- (2018) https://github.com/tkhirianov/foxford_2018
- (2016-2017) https://github.com/tkhirianov/fox_python_2016
- https://github.com/tkhirianov/kpk-foxford-2019
- CheckIO — https://py.checkio.org/
- PEP8 — https://pep8.org/
- Учим Python в браузере — https://pythontutor.ru/
- Учим Python. Часть 1 — https://codeby.net/threads/uchim-python-chast-1.61168/
- MIT.EDU — https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/
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Python lectures and tasks for MIPT and MSU students (in russian)
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Материалы по курсу «Практикум по программированию на языке Python»
Курс преподаётся студентам ФУПМ МФТИ и ВМК МГУ.
Авторы и преподаватели: Мурат Апишев, Роман Ищенко
Правила курса:
- Курс проводится в формате «лекции + практические задания»
- Зачёт по курсу выставляется по результатам выполнения заданий
- Критерии получения оценок:
- отлично/зачет — 70+ баллов
- хорошо/зачет — 55+ баллов
- удовлетворительно — 45+ баллов
Формулировки практических заданий
- Введение в Python, встроенные типы данных, модель памяти
- Функции, итераторы и генераторы
- Основы ООП: особенности языка, атрибуты, наследование
- Основы ООП: типизация и полиморфизм, классы данных
- Основы ООП: проектирование кода, шаблоны проектирования
- Представление, обработка, анализ и визуализация данных
- Введение в инструменты для машинного обучения
- Методы повышения эффективности кода
- Управление версиями Python, виртуальные окружения, контейнеры
- Модули и пакеты Python, Web-разработка — клиентская часть
- Асинхронность. Web-разработка — серверная часть
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Python lectures and tasks for MIPT and MSU students (in russian)