Python RU
Все для python разработчиков админ - @haarrp @python_job_interview - Python собеседования @ai_machinelearning_big_data - машинное обучение @itchannels_telegram - 🔥лучшие ит-каналы @programming_books_it - it книги @pythonl РКН: clck.ru/3Fmy2j
Show more
Network:📈 Analytical overview of Telegram channel Python RU
Channel Python RU (@pro_python_code) in the Russian language segment is an active participant. Currently, the community unites 12 388 subscribers, ranking 9 863 in the Technologies & Applications category and 52 229 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 12 388 subscribers.
According to the latest data from 03 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -30 over the last 30 days and by -5 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 7.85%. Within the first 24 hours after publication, content typically collects 3.26% reactions from the total number of subscribers.
- Post reach: On average, each post receives 973 views. Within the first day, a publication typically gains 404 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 6.
- Thematic interests: Content is focused on key topics such as api, docker, github, sql, linux.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Все для python разработчиков
админ - @haarrp
@python_job_interview - Python собеседования
@ai_machinelearning_big_data - машинное обучение
@itchannels_telegram - 🔥лучшие ит-каналы
@programming_books_it - it книги
@pythonl
РКН: clck.ru/3Fmy2j”
Thanks to the high frequency of updates (latest data received on 04 September, 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.
filter такой:
filter(function, iterable).
Эта функция фильтрует значения переданной последовательности с помощью функции function. Если function получает очередной элемент последовательности и возвращает True, то элемент попадает в результат работы filter, иначе нет.
Например, таким способом можно отфильтровать только строки, состоящие из чисел:
>>> strings = ['two', 'list', '', 'dict', '100', '1', '50']
>>> list(filter(str.isdigit, strings))
['100', '1', '50']
Или только четные значения:
numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
list(filter(lambda x: x % 2 == 0, numbers))
Часто в качестве фильтров используют лямбда-функции или член-функции классов.
А еще (внезапно) вместо функции можно использовать None:
>>> random = [1, 'a', 0, False, True, '0', '']
>>> list(filter(None, random))
[1, 'a', True, '0']
И тогда filter вернет только truthy значения. 🐍