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Channel

Python Academy

@pythonacademyofficial

On this record: Topic · Growth · Engagement · Reactions · Posts · Cite this entry

1,067subscribers

+102 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002626166969
TypeChannel
Username@pythonacademyofficial
CreatedBetween 1 March 2025 and 26 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live11 October 2026
Measurements held12
Confirmed unchanged1 time, most recently 11 October 2026
On Telegramt.me/pythonacademyofficial

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 19 September 2026 and assigned it the closest of 31 fixed categories, at 52% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

9651,0671,0167 August 2026 — 965 subscribers8 August 2026 — 965 subscribers16 August 2026 — 979 subscribers25 August 2026 — 993 subscribers31 August 2026 — 1,001 subscribers3 September 2026 — 1,007 subscribers9 September 2026 — 1,015 subscribers13 September 2026 — 1,021 subscribers16 September 2026 — 1,028 subscribers25 September 2026 — 1,046 subscribers4 October 2026 — 1,061 subscribers11 October 2026 — 1,067 subscribers7 August 202611 October 2026
12 measurements spanning 65 days, net +102. 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 950–1,082 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Oct 2026, 21:181,067+6
4 Oct 2026, 22:381,061+15
25 Sept 2026, 18:381,046+18
16 Sept 2026, 21:411,028+7
13 Sept 2026, 08:001,021+6
9 Sept 2026, 03:571,015+8
3 Sept 2026, 22:401,007+6
31 Aug 2026, 20:531,001+8
25 Aug 2026, 02:32993+14
16 Aug 2026, 20:24979+14
8 Aug 2026, 00:47965no change
7 Aug 2026, 23:08965first reading

Engagement

20 posts held, back to 26 July 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 30 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

198 reactions across 14 posts, in 9 distinct kinds. The most used accounts for 43.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍8643.4%
❤5125.8%
🔥4522.7%
⚡42.02%
👌42.02%
💘42.02%
👏21.01%
🤔10.505%
🤯10.505%

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 14 of the 20 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 198 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 26 July 2025 to 30 July 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

30 Jul 2026, 09:08 UTC287 views8 reactionsread 8 August 2026

🐢 Ложная асинхронность: почему два await подряд не ускорят код Ты добавил async и await, ожидая, что запросы полетят параллельно, но скрипт всё равно тормозит. Проблема в том, как именно ты ждёшь результат. ⚠️ Очередь вместо параллельности Если написать два await друг за другом, магии не случится. Код остановится на первой строчке и будет ждать её завершения, прежде чем запустить вторую. Это всё равно что поставить…

❤4👍3🤯1

16 Jul 2026, 09:00 UTC485 views9 reactionsread 8 August 2026

🪄 Магия venv: почему виртуальное окружение не «виртуальное» Многие думают, что venv — это строгая изолированная песочница, эдакий мини-Docker. На деле никакой сложной магии изоляции там нет. ⚙️ Как это работает на самом деле Это просто папка. При создании окружения Python копирует туда свой исполняемый файл и утилиту pip. Команда активации не запускает скрытых процессов и не строит виртуальных стен — она лишь подме…

👍5❤2👌2

14 Jul 2026, 07:32 UTC432 views8 reactionsread 8 August 2026

🛑 Убийца Event Loop: почему time.sleep() ломает асинхронность Асинхронный код должен летать, но иногда он работает медленнее обычного. Частая причина — блокирующий вызов, который замораживает вообще всё. ⚙️ Как работает Event Loop Представь официанта. Он принял заказ у одного столика и, пока блюдо готовится, идёт к другому. Это здоровая асинхронность. Но если официант будет стоять на кухне и тупо смотреть на кастрю…

👍5❤2🔥1

9 Jul 2026, 07:17 UTC513 views9 reactionsread 8 August 2026

🏦 Магия round(): почему 2.5 превращается в 2 Забудь школьные правила математики. Если в Python написать round(2.5), ответом будет 2, а не 3. Эта неочевидная деталь часто становится ловушкой для новичков. ⚙️ Как это работает Python использует «банковское округление» (к ближайшему чётному числу), если дробная часть равна ровно половине. 🔹 round(1.5) # Вернёт 2 🔹 round(2.5) # Тоже вернёт 2 🔹 round(3.5) # Вернёт 4 📉 З…

👍4❤3👌2

2 Jul 2026, 08:34 UTC597 views9 reactionsread 8 August 2026
Photo

🎭 Загадка с собеса: почему True и 1 склеиваются в словаре Попробуй создать словарь с ключами True и 1. Интуитивно мы ждём два разных элемента, но Python тихо оставит только один. ⚠️ Что произойдёт на практике my_dict = {True: 'да', 1: 'нет'} print(my_dict) # Вывод: {True: 'нет'} ⚙️ Почему так работает 🔹 В Python логический тип bool — это прямой подкласс целых чисел (int). 🔹 Математически True абсолютно равно 1, а …

👍4🔥4❤1

30 Jun 2026, 08:34 UTC555 views5 reactionsread 8 August 2026

🪤 Загадка с собеса: ловушка с lambda в цикле Создаешь список функций, ожидаешь получить 0, 1 и 2, а Python возвращает одни двойки. Это классический баг, на котором часто ошибаются новички. ⚠️ Как выглядит проблема funcs = [lambda: i for i in range(3)] print([f() for f in funcs]) # [2, 2, 2] ⚙️ Почему так происходит Вся суть в механизме позднего связывания (late binding). 🔹 Функция lambda не сохраняет значение i в …

👍5

Showing the 12 most recent of 20 posts we hold for @pythonacademyofficial. 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.

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 11 October 2026 — this entry's latest reading, not the date you are reading this.

“Python Academy” (@pythonacademyofficial), 1,067 subscribers as measured 11 October 2026. Telegram Register, tgregister.com/channel/pythonacademyofficial.

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.