Pythonist.ru - образование по питону
Pythonist.ru - помощь в подготовке к собеседованию на позицию Python Developer. Реклама: @anothertechrock РКН: https://rknn.link/car
Show more📈 Analytical overview of Telegram channel Pythonist.ru - образование по питону
Channel Pythonist.ru - образование по питону (@pythonist_ru) in the Russian language segment is an active participant. Currently, the community unites 24 108 subscribers, ranking 5 355 in the Technologies & Applications category and 27 139 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 24 108 subscribers.
According to the latest data from 31 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -131 over the last 30 days and by -6 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 6.11%. Within the first 24 hours after publication, content typically collects 3.00% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 472 views. Within the first day, a publication typically gains 724 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 т.р, developer, строка, backend, true.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Pythonist.ru - помощь в подготовке к собеседованию на позицию Python Developer.
Реклама: @anothertechrock
РКН: https://rknn.link/car”
Thanks to the high frequency of updates (latest data received on 01 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.
[9, 4, 26, 26, 0, 0, 5, 20, 6, 25, 5] после сортировки превращается в [0, 0, 4, 5, 5, 6, 9, 20, 25, 26, 26]. Наибольшая разность — 11 — между 9 и 20.
Примеры:
largest_gap([9, 4, 26, 26, 0, 0, 5, 20, 6, 25, 5]) ➞ 11 # После сортировки получаем [0, 0, 4, 5, 5, 6, 9, 20, 25, 26, 26] # Наибольшая разность - 11, между 9 и 20 largest_gap([14, 13, 7, 1, 4, 12, 3, 7, 7, 12, 11, 5, 7]) ➞ 4 # После сортировки получаем [1, 3, 4, 5, 7, 7, 7, 7, 11, 12, 12, 13, 14] # Наибольшая разность - 4, между 7 и 11 largest_gap([13, 3, 8, 5, 5, 2, 13, 6, 14, 2, 11, 4, 10, 8, 1, 9]) ➞ 2 # После сортировки получаем [1, 2, 2, 3, 4, 5, 5, 6, 8, 8, 9, 10, 11, 13, 13, 14] # Наибольшая разность - 2, между 6 и 8Решение на нашем сайте. #задача #coding
shared_letters("house", "home") ➞ "eho"
shared_letters("Micky", "mouse") ➞ "m"
shared_letters("house", "villa") ➞ ""
Примечания:
- Если совпадений букв нет, функция должна вернуть пустую строку
- Функция должна быть нечувствительной к регистру (если в одной строке есть буква A, а в другой a, то функция возвращает a.
- Буквы в итоговой строке должны быть отсортированы перед ее возвратом.
Решение на нашем сайте.
#задача #codingdecimal_part(1.2) ➞ 0.2 decimal_part(-3.73) ➞ 0.73 decimal_part(10) ➞ 0Решение на нашем сайте. #задача #coding
validate_subsets([[1, 2], [2, 3], [1, 3]], [1, 2, 3]) ➞ True validate_subsets([[1, 2, 3], [2], [3], []], [1, 2, 3]) ➞ True validate_subsets([[1, 2], [2, 3], [1, 4]], [1, 2, 3]) ➞ False validate_subsets([[1, 2, 3, 4]], [1, 2, 3]) ➞ FalseРешение на нашем сайте. #задача #coding
