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Channel

Python | Программирование

@Python_libr

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

9,002subscribers

-31 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001754841893
TypeChannel
Username@Python_libr
DescriptionPython без границ для всех Владелец, реклама @Ak_Mihail Преобрести рекламное размещение: https://telega.in/c/Python_libr
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live22 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/Python_libr

Growth

9,0029,0339,017.56 August 2026 — 9,033 subscribers6 August 2026 — 9,033 subscribers9 August 2026 — 9,028 subscribers12 August 2026 — 9,025 subscribers16 August 2026 — 9,015 subscribers19 August 2026 — 9,010 subscribers22 August 2026 — 9,002 subscribers6 August 202622 August 2026
7 measurements spanning 16 days, net -31. 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 8,997–9,038 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 12:189,002-8
19 Aug 2026, 09:459,010-5
16 Aug 2026, 14:089,015-10
12 Aug 2026, 17:349,025-3
9 Aug 2026, 07:129,028-5
6 Aug 2026, 12:409,033no change
6 Aug 2026, 09:179,033first reading

Engagement

45 posts held, back to 23 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 29 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.85%
avg views ÷ 9,002 subscribers
Avg views / post
527
44 posts measured
Reaction rate
1.12%
reactions ÷ views · ER floor
Posts in window
44
of 45 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 21 August 2026
Posts held45 (23 July 202621 August 2026)
Views total23,186
Reactions total259
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 18:23 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
2,500
Videos
7
Links
2,080

Lifetime counters from Telegram’s own channel header, read 22 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.

Video runtime
4s
Average length
4s

Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

265 reactions across 45 posts, in 6 distinct kinds. The most used accounts for 67.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
17967.5%
👍4818.1%
🔥3011.3%
👎51.89%
👌20.755%
🤔10.377%

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 45 of the 45 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 265reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 45 most recent posts we hold, published 23 July 2026 to 21 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

21 Aug 2026, 16:03 UTC236 views1 reactionsread 22 August 2026
Photo

📌 Учим приложения общаться друг с другом Как-то приложения должны делится информацией илля этого есть прекрасный фреймворк - hug. Он быстро создаёт API, с помощью которого можно взаимодействовать с приложением. Установка: pip3 install hug С его помощью можно быстро написать API для браузера (HTTP) или терминала (CLI). Также он считается самым простым фреймворком для создания оболочки взаимодействия пользователя с

1

21 Aug 2026, 11:26 UTC293 views1 reactionsread 22 August 2026
Photo

Что быстрее, [] или list()? Спойлер: [] быстрее чем вызов функции На этот вопрос ответит timeit — модуль, замеряющий время выполнения определённых команд. Она в разы лучше, чем измерение с помощью time, поскольку позволяет точнее просчитать результат. Кстати, подробнее ответ на вопрос из названия разбирается в этой статье. 📕 Документация #урок

1

20 Aug 2026, 12:01 UTC367 views4 reactionsread 22 August 2026
Photo

📌 Парсим HTML Библиотек много, но лучшая из них — lxml. Основное её преимущество — она быстрая. Установка: pip install lxml Если вы собираете работать с повреждёнными HTML/XML файлами, то выбирайте html5lib, эта библиотека медленная, но стабильная. Если же вам нужно быстренько взять какие-то данные с сайта, не раздумывая, выбирайте lxml. 🐙 GitHub #урок

3👍1

20 Aug 2026, 09:00 UTC358 views6 reactionsread 22 August 2026
Photo

📌 Замыкание Это когда вложенная функция обращается к переменной из внешней функции. Даже если внешняя функция уже выполнилась. Подобная штука часто используется в функциональном программировании. На её основе создано куча алгоритмов. Но это довольно требовательная операция, поэтому, если есть другой вариант решения задачи, используйте его. #урок

3👍3

18 Aug 2026, 14:02 UTC443 views9 reactionsread 22 August 2026
Photo

📌 Шпаргалка по NumPy #урок

👍63

18 Aug 2026, 10:11 UTC443 views9 reactionsread 22 August 2026
Photo

📌 Не бойтесь писать понятный код Раньше было страшным злодеянием взять и оставить 1000 * 60 * 60, сейчас же все компьютеры умные и могут просчитать выражение ещё до запуска приложения. Например, если у вас есть 355 дней в секундах, можно оставить 60 * 60 * 24 * 355, так человек быстрее поймёт, откуда взялось это число и что оно значит. В производительности ничего не потеряете, а код сделаете понятнее... Для себя ч

6🔥2👌1

17 Aug 2026, 11:02 UTC438 views8 reactionsread 22 August 2026
Photo

📌 Вы знали, что поведение операторов можно менять? Вся суть в том, что все операторы используют обычные функции, так называемые магические методы. Мы вполне можем переопределить поведение, изменив код внутри функции. Найти весь список функций и операторов можно в модуле operators. 📕 Документация #урок

5👍2👌1

17 Aug 2026, 08:20 UTC423 views1 reactionsread 22 August 2026
Video

👩‍💻 Всем программистам посвящается! Вот 14 авторских обучающих IT каналов по самым востребованным областям программирования: Выбирай своё направление: 👩‍💻 Python — t.me/python_ready 🤔 InfoSec & Хакинг — t.me/hacking_ready 🖥 SQL & Базы Данных — t.me/sql_ready 👩‍💻 IT Новости — t.me/it_ready 🤖 AI & ML — t.me/neuro_ready 👩‍💻 Frontend — t.me/frontend_ready 👩‍💻 C/C++ — https://t.me/cpp_ready 👩‍💻 C# & Unity — t.

1

17 Aug 2026, 07:51 UTC421 views8 reactionsread 22 August 2026
Photo

📌 Всегда случайный ID Есть такая штучка, как UUID (Universally unique identifier) — универсальный уникальный идентификатор. Суть в том, что значение идентификаторы всегда уникальные. Если создадите 1 млрд таких, то вероятность встретить двое одинаковых — 0.0000000001%. Такое можно использовать в базах данных (для задания ключей), что давать имена файлам или в качестве уникальных имён любых веб-источников. 📕 Докум

5🔥3

Showing the 12 most recent of 45 posts we hold for @Python_libr. 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 — 467,621 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 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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.

Однажды в трендах
@trendo · 68,975
Telegram ranks this channel #18 of 90 here — alongside 89 others — read 20 August 2026
Простой Python | Программирование
@python_piton_javascript · 128,051
Telegram ranks this channel #28 of 84 here — alongside 83 others — read 13 August 2026
[PYTHON:TODAY]
@python2day · 63,879
Telegram ranks this channel #50 of 91 here — alongside 90 others — read 21 August 2026
Python/ django
@pythonl · 58,900
Telegram ranks this channel #59 of 84 here — alongside 83 others — read 22 August 2026

This channel appears in 4 seed channels' Telegram-generated recommendation lists 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 22 August 2026 — this entry's latest reading, not the date you are reading this.

“Python | Программирование” (@Python_libr), 9,002 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/Python_libr.

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.