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Python Academy

@python_academy

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

44,600subscribers

+215 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001262842649
TypeChannel
Username@python_academy
DescriptionPython Academy — один канал вместо тысячи учебников Чат канала: @python_academy_chat Сотрудничество: @zubar89 Канал включён в перечень РКН: https://rkn.link/TVu
Created21 August 2019measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live21 August 2026
Measurements held15
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/python_academy

Growth

44,38444,66944,526.56 August 2026 — 44,385 subscribers6 August 2026 — 44,384 subscribers7 August 2026 — 44,412 subscribers8 August 2026 — 44,410 subscribers9 August 2026 — 44,530 subscribers10 August 2026 — 44,601 subscribers11 August 2026 — 44,595 subscribers12 August 2026 — 44,589 subscribers14 August 2026 — 44,669 subscribers15 August 2026 — 44,660 subscribers17 August 2026 — 44,635 subscribers18 August 2026 — 44,631 subscribers19 August 2026 — 44,622 subscribers20 August 2026 — 44,615 subscribers21 August 2026 — 44,600 subscribers44,6006 August 202621 August 2026
15 measurements spanning 15 days, net +215. 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 44,341–44,712 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 15:2644,600-15
20 Aug 2026, 12:2344,615-7
19 Aug 2026, 11:1544,622-9
18 Aug 2026, 11:5244,631-4
17 Aug 2026, 10:0344,635-25
15 Aug 2026, 14:5744,660-9
14 Aug 2026, 00:3644,669+80
12 Aug 2026, 18:3344,589-6
11 Aug 2026, 20:1744,595-6
10 Aug 2026, 21:3144,601+71
9 Aug 2026, 20:5844,530+120
8 Aug 2026, 17:3844,410-2
7 Aug 2026, 14:3244,412+28
6 Aug 2026, 12:2344,384-1
6 Aug 2026, 04:2144,385first reading

Engagement

39 posts held, back to 19 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 35 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.49%
avg views ÷ 44,600 subscribers
Avg views / post
2,000
34 posts measured
Reaction rate
0.19%
reactions ÷ views · ER floor
Posts in window
34
of 39 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 22 August 2026
Posts held39 (19 July 202622 August 2026)
Views total68,016
Reactions total129
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 15:02 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
1,530
Videos
2
Links
480

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.

Reaction mix

133 reactions across 35 posts, in 5 distinct kinds. The most used accounts for 37.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👎5037.6%
4332.3%
👍3022.6%
🔥75.26%
😱32.26%

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 39 of the 39 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 144reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 39 most recent posts we hold, published 19 July 2026 to 22 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

22 Aug 2026, 10:59 UTC506 views2 reactionsread 22 August 2026
Photo

Altair Библиотека Altair — это декларативная библиотека для создания статистических визуализаций. Она основана на спецификации Vega-Lite и позволяет создавать сложные графики с минимальным количеством кода. Altair предоставляет простой синтаксис для создания графиков, а также интегрируется с Jupyter Notebook и JupyterLab для интерактивного отображения графиков. Результат работы кода — столбчатая диаграмма, отображ

1👎1

21 Aug 2026, 07:02 UTC≈1,170 views7 reactionsread 22 August 2026
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Скачиваем видео с YouTube Пакет pytube предоставляет всю небходимую функциональность для скачивания видео с YouTube, а также для сбора всей информации о нем. Для работы нам необходимо создать объект класса YouTube. Помимо ссылки на видео в конструктор можно передать в качестве параметров функции для обработки прогресса загрузки и завершения. Большинство видео на ютубе не имеют аудиодорожки на потоках с высоким раз

👍4👎21

20 Aug 2026, 20:27 UTC≈1,280 views9 reactionsread 22 August 2026

Параллельное Исполнение в Python с Помощью Модуля threading В данном посте, вы узнаете, как использовать модуль threading для создания параллельных потоков выполнения и улучшения производительности ваших приложений. threading позволяет создавать легковесные потоки, которые выполняются параллельно, ускоряя выполнение задач. Это особенно полезно в сценариях, где есть задачи, которые можно выполнить независимо друг от

👍52👎1😱1

19 Aug 2026, 06:22 UTC≈1,590 views3 reactionsread 22 August 2026

Оптимизация Памяти в Python с Библиотекой gc Если вы заботитесь о производительности ваших Python-приложений, то библиотека gc (Garbage Collector) вам точно пригодится. Давайте рассмотрим, почему. gc в Python предназначена для автоматического управления памятью, освобождая вас от рутины по управлению объектами. Это особенно полезно в задачах, связанных с избежанием утечек памяти и оптимизацией её использования. im

👍2👎1

18 Aug 2026, 06:15 UTC≈1,730 views6 reactionsread 22 August 2026

Получение геолокации по IP с использованием ip2geotools Недавно я обнаружил увлекательный пакет ip2geotools, который обеспечивает возможность получения геолокации по IP из различных баз данных. Пример кода для получения информации по IP с использованием класса DbIpCity, представляющего некоммерческую базу данных, выглядит следующим образом: from ip2geotools.databases.noncommercial import DbIpCity def get_ip_geoloc

👍4👎2

17 Aug 2026, 06:48 UTC≈2,220 views1 reactionsread 22 August 2026
Photo

Автоматизация мобильных приложений с помощью uiautomator2 Сегодня мы поговорим о библиотеке uiautomator2, которая предоставляет мощные инструменты для автоматизации тестирования и взаимодействия с мобильными приложениями на платформе Android. Эта библиотека может пригодиться для создания автотестов, скриптов для тестирования пользовательского интерфейса, и многих других задач, связанных с мобильной разработкой. Чт

👎1

16 Aug 2026, 06:36 UTC≈1,920 views3 reactionsread 22 August 2026
Photo

Indico Indico — это мощная библиотека Python для извлечения информации из неструктурированных текстов, изображений и PDF-файлов. Она позволяет вам выполнять задачи обработки естественного языка (NLP), компьютерного зрения (CV) и машинного обучения (ML) с помощью простых и понятных API. https://pypi.org/project/indico/

👍2👎1

15 Aug 2026, 15:35 UTC≈1,940 views3 reactionsread 22 August 2026
Photo

Метод sets.issubset() Метод sets.issubset() позволяет проверить находится ли каждый элемент множества sets в последовательности other. Метод возвращает True, если множество sets является подмножеством итерируемого объекта other, если нет, то вернет False. Синтаксис: sets.issubset(other).

2👎1

14 Aug 2026, 07:02 UTC≈1,880 views2 reactionsread 22 August 2026
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Познакомьтесь с IceCream: Улучшенным выводом в Python Hедавно мы наткнулись на потрясающий инструмент для отладки и разработки в Python, и хотим поделиться им с вами! Представляем вам icecream - библиотеку, которая упрощает отладку, улучшая вывод ваших данных. Что такое icecream? icecream - это легковесная библиотека для Python, которая предоставляет простые, но мощные инструменты для отслеживания и вывода значений

👎2

13 Aug 2026, 06:14 UTC≈1,860 views3 reactionsread 22 August 2026
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​​Сортировка пузырьком Для сортировки списков в Python уже есть встроенные функция sorted() и метод .sorted(), но достаточно важно самому знать хотя бы несколько реализаций. Суть алгоритма в том, что совершается несколько проходов по массиву. При проходе последовательно сравниваются пары элементов в массиве и в случае несоответствия выбранному порядку меняются местами. Если пары элементов находятся в верном порядке

2👎1

12 Aug 2026, 06:23 UTC≈1,950 views5 reactionsread 22 August 2026
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Точка входа В некоторых языках программирования есть функции main(), с которых начинается выполнение программы. Но в Python весь код исполняется построчно. Как вариант, многие пишут основную логику программы в обычную функцию main(), а вызывают ее только в условии if __name__ == '__main__'. Здесь стоит объяснить отдельно про то, что такое __name__. Переменная __name__ — это специальная переменная, которая будет ра

3👎1😱1

11 Aug 2026, 06:20 UTC≈2,020 views9 reactionsread 22 August 2026
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Преобразования текста в аудио с помощью Python Для преобразования текста в аудио на Python можно использовать библиотеку gTTS (Google Text-to-Speech). В данном примере мы используем текст "Привет!» на русском языке, создаем объект gTTS и сохраняем аудиофайл "hello.mp3". Затем мы воспроизводим аудиофайл с помощью утилиты mpg321.

6👍1👎1😱1

Showing the 12 most recent of 39 posts we hold for @python_academy. 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 — 205,771 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 7 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.

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 #3 of 90 here — alongside 89 others — read 20 August 2026
Простой Python | Программирование
@python_piton_javascript · 128,051
Telegram ranks this channel #31 of 84 here — alongside 83 others — read 13 August 2026
[PYTHON:TODAY]
@python2day · 63,879
Telegram ranks this channel #35 of 91 here — alongside 90 others — read 21 August 2026
Python/ django
@pythonl · 58,900
Telegram ranks this channel #46 of 84 here — alongside 83 others — read 22 August 2026
Скиллгет | Онлайн образование
@skillget · 81,480
Telegram ranks this channel #55 of 88 here — alongside 87 others — read 18 August 2026
Эрудиция | Digital и бизнес образование
@eruditurl24 · 98,029
Telegram ranks this channel #77 of 86 here — alongside 85 others — read 16 August 2026
Сила Книги | Аудиокниги | Flibusta
@silaknigi · 123,507
Telegram ranks this channel #83 of 86 here — alongside 85 others — read 13 August 2026

This channel appears in 7 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 21 August 2026 — this entry's latest reading, not the date you are reading this.

“Python Academy” (@python_academy), 44,600 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/python_academy.

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.