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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Channel Библиотека Python разработчика | Книги по питону (@bookpython) in the Russian language segment is an active participant. Currently, the community unites 17 964 subscribers, ranking 7 252 in the Technologies & Applications category and 36 588 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 17 964 subscribers.
According to the latest data from 03 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -88 over the last 30 days and by -3 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 5.41%. Within the first 24 hours after publication, content typically collects 2.74% reactions from the total number of subscribers.
- Post reach: On average, each post receives 971 views. Within the first day, a publication typically gains 492 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
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The author describes the resource as a platform for expressing subjective opinions:
“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”
Thanks to the high frequency of updates (latest data received on 04 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.
# consume work
async def consumer(queue):
print('Consumer: Running')
# consume work
while True:
# get a unit of work
try:
# retrieve the get() awaitable
get_await = queue.get()
# await the awaitable with a timeout
item = await asyncio.wait_for(get_await, 0.5)
except asyncio.TimeoutError:
print('Consumer: gave up waiting...')
continue
# check for stop
if item is None:
break
# report
print(f'>got {item}')
# all done
print('Consumer: Done')
https://superfastpython.com/asyncio-queue/#What_is_an_Asyncio_Queue
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