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Channel

Ghostly Python

@GhostlyPython

On this record: Growth · Engagement · Reactions · Posts · Polls · Citations · Handles named that no longer answer · Cite this entry

8,291subscribers

-112 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002383487131
TypeChannel
Username@GhostlyPython
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 September 2026
Measurements held12
Confirmed unchanged1 time, most recently 7 September 2026
On Telegramt.me/GhostlyPython

Growth

8,2918,4038,3477 August 2026 — 8,403 subscribers7 August 2026 — 8,403 subscribers7 August 2026 — 8,401 subscribers10 August 2026 — 8,390 subscribers14 August 2026 — 8,379 subscribers17 August 2026 — 8,376 subscribers20 August 2026 — 8,366 subscribers24 August 2026 — 8,358 subscribers27 August 2026 — 8,335 subscribers30 August 2026 — 8,327 subscribers2 September 2026 — 8,317 subscribers7 September 2026 — 8,291 subscribers7 August 20267 September 2026
12 measurements spanning 31 days, net -112. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 8,274–8,420 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Sept 2026, 10:598,291-26
2 Sept 2026, 08:438,317-10
30 Aug 2026, 18:388,327-8
27 Aug 2026, 09:048,335-23
24 Aug 2026, 04:138,358-8
20 Aug 2026, 11:578,366-10
17 Aug 2026, 13:558,376-3
14 Aug 2026, 09:388,379-11
10 Aug 2026, 19:158,390-11
7 Aug 2026, 20:278,401-2
7 Aug 2026, 15:308,403no change
7 Aug 2026, 15:258,403first reading

Engagement

21 posts held, back to 16 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 22 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.2%
avg views ÷ 8,291 subscribers
Avg views / post
926
2 posts measured
Reaction rate
0.486%
reactions ÷ views · ER floor
Posts in window
2
of 21 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 25 August 2026
Posts held21 (16 April 202625 August 2026)
Views total1,852
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 17:50 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

114 reactions across 20 posts, in 11 distinct kinds. The most used accounts for 20.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁2320.2%
👍1714.9%
💩1513.2%
1412.3%
🔥1311.4%
❤‍🔥108.77%
🤮87.02%
👎65.26%
🤔65.26%
😱10.877%
🤣10.877%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 20 of the 21 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 114 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 16 April 2026 to 25 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

25 Aug 2026, 17:41 UTC662 views2 reactionsread 28 August 2026
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ИИ уже умеет написать тысячи строк кода за вечер. Вопрос теперь не в том, умеете ли вы пользоваться нейросетью, а понимаете ли вы, что именно она делает с вашим проектом. «ИИнтеллигенция» - канал для тех, кто хочет разбираться в ИИ глубже обычного пользователя. Здесь выходят: — полезные open-source-инструменты с исходниками; — разборы ИИ-агентов и автоматизации разработки; — локальные модели и self-hosted-сервисы;

❤‍🔥1🔥1

13 Aug 2026, 11:15 UTC≈1,190 views7 reactionsread 28 August 2026
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💯 Одна из самых полезных библиотек Python - hybridmethod. Hybridmethod — это легкий декоратор, который упрощает использование синхронных и асинхронных методов в одном классе. Он позволяет объявлять метод, который может быть вызван как в обычном, так и в asyns-контексте, исключая дублирование кода. ➕ Плюсы использования: 🔹Поддерживает Python 3.x (версия 1.0.1). 🔹Имеет минимум зависимостей. 🔹 Идеально подходит

3👍3🔥1

3 Aug 2026, 15:27 UTC≈1,400 views5 reactionsread 28 August 2026
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Открыли регистрацию на E-CUP 2026 Students 🎓 В этом сезоне — только для студентов. Будет интересно тем, кто изучает ML / DS / big data / аналитику данных. Сможете ускорить модель по поиску дубликатов на 20%? Получится создать классификатор для модерации товаров? Сумеете предсказать поведение покупателя? Как минимум — попробуете и получите фидбэк от тех, кто делает это в Ozon Tech каждый день. Как максимум — раздел

🔥32

3 Aug 2026, 07:19 UTC≈1,240 views7 reactionsread 28 August 2026
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ㅤ Страх. Гнев. Стыд. Вина. Тревога. Апатия. Уныние. Изоляция. Бессилие. Контакт. Тепло. Чувство. Живость. Ясность. Точность. Присутствие. Тишина. Покой. Если выбор сделан, твоё место здесь: мэверик Входи осторожно. Кислород зашкаливает. ㅤ

🤮7

26 Jul 2026, 06:15 UTC≈1,500 views4 reactionsread 28 August 2026
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📱 Фишка: collections.deque — двусторонняя очередь с быстрой вставкой и удалением deque (двусторонняя очередь) из модуля collections — это более эффективная альтернатива спискам, когда часто требуется вставка или удаление с начала и конца. from collections import deque # Создаём deque queue = deque(["Алиса", "Боб", "Чарли"]) # Добавляем в конец и в начало queue.append("Дэвид") queue.appendleft("Эва") print(queue)

❤‍🔥4

27 Jun 2026, 15:01 UTC≈2,300 views11 reactionsread 28 August 2026
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🔲 Захватывающая драма 21 века На всякий случай: yt-dlp --download-sections "*start_time-end_time" <video_url> 🐍 Ghostly Python | #мем

😁5👍42

19 Jun 2026, 15:00 UTC≈2,510 views1 reactionsread 28 August 2026

📱 Фишка: asyncio.TaskGroup — надёжное управление группами задач TaskGroup автоматически следит за всеми запущенными в нём задачами. Если любая задача падает с ошибкой — отменяются все остальные, и вы точно ничего не пропустите. Удобнее и безопаснее, чем ручной gather/wait. import asyncio async def worker(name, delay): print(f"Задача {name} стартует") await asyncio.sleep(delay) if name == "fail":

🔥1

12 Jun 2026, 15:00 UTC≈2,370 views1 reactionsread 28 August 2026
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👩‍💻 Автоматизация отдела продаж в Bitrix24 Автор статьи максимально рассказал об автоматизации продаж и квалифицировании лидов в битрикс. ➡️ Ссылка на статью 🐍 Ghostly Python | #статьи

👍1

5 Jun 2026, 15:00 UTC≈2,710 views6 reactionsread 28 August 2026

🖼️ Библиотека tenacity — умные повторные попытки для ненадёжного кода Tenacity — это библиотека, которая автоматически перезапускает функцию при ошибке. Идеально для работы с сетевыми запросами, API, базами данных — везде, где код может временно упасть, но потом отработать. ⚙️ Пример использования: from tenacity import retry, stop_after_attempt import requests # Повторить 3 раза при любой ошибке @retry(stop=stop

👍6

30 May 2026, 15:01 UTC≈2,900 views9 reactionsread 28 August 2026
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«Вайб-кодинг» — слово года по версии словаря Collins (на сленге - безработный 🙂) 🐍 Ghostly Python | #мем

❤‍🔥51👍1🤣1😁1

23 May 2026, 15:00 UTC≈2,890 views1 reactionsread 28 August 2026

📱 Фишка: asyncio.Semaphore — контроль одновременных корутин Semaphore ограничивает количество корутин, которые могут выполнять определённый блок кода одновременно. Полезно для защиты API от превышения лимитов или для ограничения нагрузки на базу данных. import asyncio class ApiClient: def __init__(self, max_concurrent=3): self._semaphore = asyncio.Semaphore(max_concurrent) async def fetch(self, ur

👍1

18 May 2026, 09:07 UTC≈2,420 views1 reactionsread 28 August 2026
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👩‍💻 Создание MCP‑серверов на FastMCP: 7 ошибок, которых стоит избегать Автор в статье дает конкретные советы по исправлению каждой проблемы и предупреждает о реальных рисках безопасности (включая известные CVE). ➡️ Ссылка на статью 🐍 Ghostly Python | #статьи

👍1

Showing the 12 most recent of 21 posts we hold for @GhostlyPython. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

26 Apr 2026, 14:30 UTCAnonymous Quiz106 voters

Что выведет код?

  1. 31 | 2 | 3238%
  2. 31 | 2 | 4218%
  3. 21 | 2 | 3222%
  4. 32 | 1 | 4223%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 21 most recent posts we hold, published 16 April 2026 to 25 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 7 September 2026 — this entry's latest reading, not the date you are reading this.

“Ghostly Python” (@GhostlyPython), 8,291 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/GhostlyPython.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.