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Python академия

@pythonofff

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

7,196subscribers

-25 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-1001657975864
TypeChannel
Username@pythonofff
DescriptionУчи Python быстро и легко. Ежедневно публикуем практические задачи, разборы, готовые решения, объяснения логики, советы по алгоритмам. ✔ Подходит для прокачки навыков кодирования. По всем вопросам @evgenycarter
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live21 August 2026
Measurements held5
Confirmed unchanged2 times, most recently 21 August 2026
On Telegramt.me/pythonofff

Growth

7,1967,2217,208.57 August 2026 — 7,221 subscribers8 August 2026 — 7,220 subscribers11 August 2026 — 7,209 subscribers15 August 2026 — 7,200 subscribers18 August 2026 — 7,196 subscribers7 August 202618 August 2026
5 measurements spanning 11 days, net -25. 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 7,192–7,225 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Aug 2026, 09:037,196-4
15 Aug 2026, 02:267,200-9
11 Aug 2026, 08:537,209-11
8 Aug 2026, 03:337,220-1
7 Aug 2026, 04:457,221first reading

Engagement

31 posts held, back to 14 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 13 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.44%
avg views ÷ 7,196 subscribers
Avg views / post
391
22 posts measured
Reaction rate
0.387%
reactions ÷ views · ER floor
Posts in window
22
of 31 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. It is computed over the 19 of 22 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 20 August 2026
Posts held31 (14 July 202620 August 2026)
Views total8,609
Reactions total29
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Aug 2026, 11:55 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.

What this channel posts

Photos
2,590
Videos
5
Links
433

Lifetime counters from Telegram’s own channel header, read 20 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

44 reactions across 27 posts, in 5 distinct kinds. The most used accounts for 79.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3579.5%
🔥49.09%
24.55%
👎24.55%
🤔12.27%

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 27 of the 31 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 44reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 31 most recent posts we hold, published 14 July 2026 to 20 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

20 Aug 2026, 06:34 UTC141 views1 reactionsread 20 August 2026
Photo

Функция zip Функция zip создаёт итератор, который комбинирует элементы нескольких списков. Это позволяет осуществлять параллельный обход списков в циклах for или, например, выполнять параллельную сортировку. 📲 Мы в MAX Подписывайтесь на канал 👉@pythonofff

👍1

19 Aug 2026, 06:42 UTC215 views1 reactionsread 20 August 2026
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Получаем срез из бесконечного генератора Допустим, мы хотим получить какой-то конечный список элементов из бесконечного генератора. Что нам для этого понадобится? Для начала создадим сам генератор fib, уже немного знакомый вам по посту, где мы использовали lru_cache, правда там была рекурсивная функция. Этот генератор позволяет (за неимением другого слова) "генерировать" числа из последовательности Фибоначчи. Чтоб

👍1

17 Aug 2026, 19:36 UTC270 views1 reactionsread 20 August 2026
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Добавляем классу большую функциональность Декоратор @ classmethod — это метод, который получает класс в качестве параметра, который принято обозначать как cls. Он указывает на класс ToyClass, а не на объект этого класса. Методы класса привязаны к самому классу, а не его экземпляру. Они могут менять состояние класса, что отразится на всех объектах этого класса, но не могут менять конкретный объект. Проще говоря, @

👍1

17 Aug 2026, 04:08 UTC299 views4 reactionsread 20 August 2026
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Функция str replace() в Python Функция replace() в Python используется для создания строки путем замены некоторых частей другой строки. 📲 Мы в MAX Подписывайтесь на канал 👉@pythonofff

👍2👎1🔥1

14 Aug 2026, 07:41 UTC407 views1 reactionsread 20 August 2026
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Время исполнения кода Иногда приходится выбирать между несколькими вариантами кода, и часто отталкиваются от его скорости. Пример вычисления времени исполнения кода мы сейчас и покажем. Всё достаточно просто: с помощью модуля time запоминаем начальное время, выполняем основной код, узнаём конечное время и просто высчитываем разницу. Если будете использовать этот пример, то просто вставьте свой код вместо комментар

👍1

13 Aug 2026, 07:06 UTC395 views1 reactionsread 20 August 2026
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Нахождение наиболее частых элементов списка Если необходимо найти несколько наиболее часто повторяющихся значений, лучше воспользоваться счетчиком Counter из библиотеки collections. Метод Counter.most_common(x) возвращает x кортежей, в которых первое значение – элемент, а второе – количество его повторений. 📲 Мы в MAX Подписывайтесь на канал 👉@pythonofff

👍1

12 Aug 2026, 08:03 UTC386 views1 reactionsread 20 August 2026
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Списковые включения. В python можно заменить громоздкие циклы, которые используются для заполнения списков. Самый простой пример использования списковых включений представлен в первом примере. В примере 2 показано как можно добавить немного математики. Вы даже можете использовать свои функции, как в примере 3. 📲 Мы в MAX Подписывайтесь на канал 👉@pythonofff

👍1

12 Aug 2026, 07:01 UTC330 views1 reactionsread 20 August 2026
Photo

Сортировка словаря по значениям Сортировка данных словаря по значениям ключей, а не по самим ключам, нередко ставит в тупик. Задача решается довольно просто при помощи аргумента key функции sorted для указания функции, которая будет вызываться на каждом элементе до сравнения. 📲 Мы в MAX Подписывайтесь на канал 👉@pythonofff

👍1

11 Aug 2026, 08:57 UTC351 views2 reactionsread 20 August 2026
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⌨️ Docker для python разработчика Приглашаем на открытый урок. 🗓 20 августа в 20:00 МСК 🆓 Бесплатно. Урок в рамках старта курса «Python-разработчик. Продвинутый уровень». Что будет на вебинаре? ✔️ Разберём особенности использования Docker для контейнеризации решений на Python. ✔️ Рассмотрим лучшие практики контейнеризации. ✔️ Разберём способы оркестрации мультиконтейнерных решений Что в результате вебинара узнаю

👍2

9 Aug 2026, 06:17 UTC389 views4 reactionsread 20 August 2026
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Форматирование строк Привет, в этом посте разберем возможные в Python методы форматирования строк. Все примеры использования можете посмотреть на прикрепленной ниже картинке. Самый древний и уже редко используемый способ – с помощью оператора %. Написание %s и %d зависит от того, что мы туда передаем и что хотим увидеть в итоге, но это уже тема отдельного поста. В Python 2.6 появился метод .format() с немного отли

2👍1🔥1

8 Aug 2026, 12:00 UTC324 viewsread 20 August 2026

🚀 Подборка полезных IT каналов в Max Системное администрирование, DevOps 📌 https://max.ru/i_odmin Все для системного администратора https://max.ru/bash_srv Bash Советы https://max.ru/sysadminof Книги для админов, полезные материалы https://max.ru/i_odmin_book Библиотека Системного Администратора https://max.ru/i_devops DevOps: Пишем о Docker, Kubernetes и др. https://max.ru/tipsysdmin Типичный Сисадмин https://max

6 Aug 2026, 06:15 UTC397 views1 reactionsread 20 August 2026
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Немного про цифры и юникод 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 – не единственные символы, которые считаются цифрами. Python следует правилам Юникода и обрабатывает несколько сотен символов как цифры. Это влияет на такие функции, как int, unicode.isdecimal и даже re.match. Предупрежден – значит вооружен. 📲 Мы в MAX Подписывайтесь на канал 👉@pythonofff

👍1

Showing the 12 most recent of 31 posts we hold for @pythonofff. 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.

Citation-graph rank

Citation-graph rank — 1,384,231 of 1,583,249entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Скиллгет | Онлайн образование
@skillget · 81,480
Telegram ranks this channel #84 of 88 here — alongside 87 others — read 18 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 18 August 2026 — this entry's latest reading, not the date you are reading this.

“Python академия” (@pythonofff), 7,196 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/pythonofff.

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.