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Изворен канал @pythonotes · Post #418 · 9 мар.

Оператор pipe позволяет писать более компактный код, реализуя логику объединения данных (Union). Важно помнить, что его поведение зависит от контекста. Побитовые операции (логическое OR) result = 5 | 3 # 5 (0101) | 3 (0011) = 7 (0111) Самое главное - не путать с оператором or, это другое! Объединение множеств set_a = {1, 2, 3} set_b = {3, 4, 5} set_c = set_a | set_b # {1, 2, 3, 4, 5} set_c |= {5, 6} # {1, 2, 3, 4, 5, 6} Слияние словарей dict_1 = {"a": 1, "b": 2} dict_2 = {"b": 3, "c": 4} merged = dict_1 | dict_2 # {'a': 1, 'b': 3, 'c': 4} merged |= {"d": 5} # {'a': 1, 'b': 3, 'c': 4, 'd': 5} Аннотации типов, заменяет Union def process_data(value: int | str) -> None: print(value) Допустимо использовать в isinstance или issubclass isinstance(3, int | float) # True Паттерн-матчинг status_code = 404 match status_code: case 200 | 201 | 204: print("OK") case 400 | 404 | 500: print("ERROR") Для использования в своих классах требуется переопределить метод __or__ Так же нашел библиотеку pipe которая добавляет еще много возможностей. Рекомендую ознакомиться ;) #basic

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djangoproject

@djangoproject · Post #292 · 07.04.2017 г., 18:47

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http://techspot.zzzeek.org/2015/02/15/asynchronous-python-and-databases/ The asynchronous programming topic is difficult to cover. These days, it's not just about one thing, and I'm mostly an outsider to it. However, because I deal a lot with relational databases and the Python stack's interaction with them, I have to field a lot of questions and issues regarding #asynchronous_IO and #database programming, both specific to #SQLAlchemy as well as towards #Openstack. #asyncio

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#asynchronous_io #database #sqlalchemy #openstack #asyncio

djangoproject

@djangoproject · Post #293 · 10.04.2017 г., 09:41

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http://aiomysql.readthedocs.io/en/latest/sa.html aiomysql.sa — support for SQLAlchemy functional SQL layer sqlalchemy support ported from #aiopg, so #api should be very familiar for aiopg user. While core API provides a core support for access to #MySQL#database, manipulations with raw SQL strings too annoying. Fortunately we can use excellent SQLAlchemy Core as SQL query builder. So you can execute SQL #query built by tbl.insert().values(val='abc') or tbl.select() expressions. #sqlalchemy has rich and very powerful set of SQL construction functions, please read tutorial for full list of available operations. Also we provide SQL transactions support. Please take a look on SAConnection.begin() method and family.

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#aiopg #api #mysql #database #query #sqlalchemy