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Python вопросы с собеседований
Вопросы с собеседований по Python @workakkk - админ @machinelearning_interview - вопросы с собесдований по Ml @pro_python_code - Python @data_analysis_ml - анализ данных на Python @itchannels_telegram - 🔥 главное в ит РКН: clck.ru/3FmrFd
Show more📈 Analytical overview of Telegram channel Python вопросы с собеседований
Channel Python вопросы с собеседований (@python_job_interview) in the Russian language segment is an active participant. Currently, the community unites 24 941 subscribers, ranking 5 493 in the Technologies & Applications category and 26 832 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 24 941 subscribers.
According to the latest data from 09 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -148 over the last 30 days and by -7 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 6.02%. Within the first 24 hours after publication, content typically collects 3.02% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 503 views. Within the first day, a publication typically gains 754 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 7.
- Thematic interests: Content is focused on key topics such as github, api, собеседование, git, docker.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Вопросы с собеседований по Python
@workakkk - админ
@machinelearning_interview - вопросы с собесдований по Ml
@pro_python_code - Python
@data_analysis_ml - анализ данных на Python
@itchannels_telegram - 🔥 главное в ит
РКН: clck.ru/3FmrFd”
Thanks to the high frequency of updates (latest data received on 10 June, 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.
>>> complex(3.5,4)
(3.5+4j)
Функция eval() исполняет строку:
>>> eval("print(max(22,22.0) — min(2,3))")
20
Функция filter() отфильтровывает элементы, для которых заданное условие верно.
>>> list(filter(lambda x: x%2 == 0,[1, 2, 0, False]))
[2, 0, False]
Функция format() помогает задать формат строки:
>>> print("a = {0} but b = {1}".format(a, b))
a = 2 but b = 3
Функция hash() возвращает хэш-значение объекта:
>>> hash(3.7)
644245917
Функция hex() преобразовывает число в шестнадцатеричное число:
>>> hex(14)
"0xe"
Функция input() читает ввод и возвращает строку:
>>> input("Enter a number")
Enter a number7
"7"
Функция len() возвращает число, показывающее длину строки:
>>> len("Ayushi")
6
Функция locals() возвращает словарь с локальной таблицей имен:
>>> locals()
{"__name__": "__main__", "__doc__": None, "__package__": None, "__loader__": <class "_frozen_importlib.BuiltinImporter">, "__spec__": None, "__annotations__": {}, "__builtins__": <module "builtins" (built-in)>, "a": 2, "b": 3}
Функция open() открывает файл:
>>> file = open("tabs.txt")
@python_job_interview