Zen of Python
Полный Дзен Пайтона в одном канале Разместить рекламу: @tproger_sales_bot Правила общения: https://tprg.ru/rules Другие каналы: @tproger_channels Сайт: https://tprg.ru/site Регистрация в перечне РКН: https://tprg.ru/xZOL
Show more📈 Analytical overview of Telegram channel Zen of Python
Channel Zen of Python (@zen_of_python) in the Russian language segment is an active participant. Currently, the community unites 19 283 subscribers, ranking 6 985 in the Technologies & Applications category and 35 067 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 283 subscribers.
According to the latest data from 10 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 48 over the last 30 days and by -2 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 12.11%. Within the first 24 hours after publication, content typically collects 5.16% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 336 views. Within the first day, a publication typically gains 996 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 8.
- Thematic interests: Content is focused on key topics such as github, rust, pip, api, install.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Полный Дзен Пайтона в одном канале
Разместить рекламу: @tproger_sales_bot
Правила общения: https://tprg.ru/rules
Другие каналы: @tproger_channels
Сайт: https://tprg.ru/site
Регистрация в перечне РКН: https://tprg.ru/xZOL”
Thanks to the high frequency of updates (latest data received on 11 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.
x = lambda s: (s**(1/2)).is_integer()
@nxiqns:
def check_square_perfection(num):
return (num**0.5).is_integer()
и @WhonixMan:
def check_square_perfection(num):
return int(num**0.5) == num**0.5
Отдельно выделим решение @maslyaev, учитывающее случай очень больших чисел:
def check_square_perfection(area: int | float) -> bool:
if area == 0 or area == 1: # На 0 и 1 ломается вавилонский метод
return True
if area < 4: # Отрицательная area даст False
return False
if area % 1 != 0: # Нецелая area даст False
return False
int_area = int(area)
sqrt = int_area // 2
while True:
next_sqrt = (sqrt + int_area//sqrt)//2
if next_sqrt == sqrt:
break
sqrt = next_sqrt
return sqrt * sqrt == int_area
#задача
@zen_of_python>>> s = 'погода'
>>> invert_vowels(s)
... пагодо
#задача
@zen_of_pythonpip freeze >> requirements.txt>>> check_square_perfection(16)
... True
# True, потому что 4 * 4 = 16
>>> check_square_perfection(14)
... False
# False, потому что 3.742 * 3.742 = 14, а 3.742 не целое число
#задача
@zen_of_python
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