Библиотека Python разработчика | Книги по питону
Погружение в CPython и архитектуру. Разбираем неочевидное поведение (GIL, Memory), Best Practices (SOLID, DDD) и тонкости Django/FastAPI. Решаем задачи с подвохом и оптимизируем алгоритмы. 🐍 По всем вопросам @evgenycarter РКН clck.ru/3Ko7Hq
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По всем вопросам @evgenycarter
РКН clck.ru/3Ko7Hq”
Thanks to the high frequency of updates (latest data received on 05 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
zip() мы можем все немного упростить.
Обратите внимание: функция zip() возвращает zip-объект, но с помощью приведения типов вы можете преобразовать его — например, с помощью list(), tuple() или dict().
Подписывайтесь на канал 👉@pythonofffifs. These are all and any.
any returns True if some of the values are true; all returns True if all of them are. all returns True for an empty iterable while any returns False in that case.
Both functions are usually useful while used together with list comprehensions:
package_broken = any(
part.is_broken() for part package.get_parts()
)
package_ok = all(
part.ok() for part package.get_parts()
)
any and all are usually interchangeable thanks to De Morgan's laws. Choose one that is easier to understand.obj.__class__ = AnyClass
Though it's probably a bad idea to use such tricks as part of your regular architecture, it can be extremely useful during debugging. Here is how you can track all attribute accesses of an object without modifying its original code:
class User:
def __init__(self, name):
self._name = name
def to_str(self):
return '<{}>'.format(self._name)
class LoggedUser(User):
def __getattribute__(self, attr):
print('`{}` accessed'.format(attr))
return super().__getattribute__(attr)
u = User('lol')
u.__class__ = LoggedUser
print(u.to_str())search, которая позволит вам найти подстроку
Если вам нужны сложные сопоставления, например, учет регистра — этот метод подойдет вам лучше всего. Но у него есть и недостатки: сложность и скорость работы. То есть, в простеньких задачах его лучше не использовать.
Подписывайтесь на канал 👉@pythonofffif 'port' not in config:
config['port'] = 80
port = config['port']
Setting default values to dictionaries can be done more elegant:
config = config.setdefault('port', 80)
setdefault sets the new value unless some value is already set. It also returns the new stored value whether it was changed or not:
In : config = {}
In : config.setdefault('port', 80)
Out: 80
In : config.setdefault('port', 443)
Out: 80@ operator since Python 3.5. It's intended to use for matrix multiplication. However, none of the standard objects support it; it was introduced specifically for the numpy module.
To make your objects support this operator, you should define one of the following methods: __matmul__, __rmatmul__ or __imatmul__.
You can learn more from PEP 465.for and if clauses:
In : [(x, y) for x in range(3) for y in range(3)]
Out: [
(0, 0), (0, 1), (0, 2),
(1, 0), (1, 1), (1, 2),
(2, 0), (2, 1), (2, 2)
]
In : [
(x, y)
for x in range(3)
for y in range(3)
if x != 0
if y != 0
]
Out: [(1, 1), (1, 2), (2, 1), (2, 2)]
Also, any expression with for and if may use all the variables that are defined before:
In : [
(x, y)
for x in range(3)
for y in range(x + 2)
if x != y
]
Out: [
(0, 1),
(1, 0), (1, 2),
(2, 0), (2, 1), (2, 3)
]
You can mix ifs and fors however you want:
In : [
(x, y)
for x in range(5)
if x % 2
for y in range(x + 2)
if x != y
]
Out: [
(1, 0), (1, 2),
(3, 0), (3, 1), (3, 2), (3, 4)
]