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Channel

Python Portal

@PythonPortal

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

51,126subscribers

-168 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001219878246
TypeChannel
Username@PythonPortal
DescriptionВсё самое интересное из мира Python Сотрудничество, реклама: @devmangx Менеджер: @Spiral_Yuri РКН: https://clck.ru/3GMMF6
CreatedBetween 1 April 2018 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live21 August 2026
Measurements held14
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/PythonPortal

Growth

51,12651,29851,2127 August 2026 — 51,294 subscribers7 August 2026 — 51,298 subscribers8 August 2026 — 51,288 subscribers9 August 2026 — 51,252 subscribers10 August 2026 — 51,234 subscribers11 August 2026 — 51,223 subscribers13 August 2026 — 51,204 subscribers14 August 2026 — 51,192 subscribers16 August 2026 — 51,179 subscribers17 August 2026 — 51,175 subscribers18 August 2026 — 51,156 subscribers19 August 2026 — 51,154 subscribers20 August 2026 — 51,135 subscribers21 August 2026 — 51,126 subscribers7 August 202621 August 2026
14 measurements spanning 14 days, net -168. 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 51,100–51,324 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 12:4851,126-9
20 Aug 2026, 12:0751,135-19
19 Aug 2026, 09:1651,154-2
18 Aug 2026, 12:3751,156-19
17 Aug 2026, 13:0351,175-4
16 Aug 2026, 06:2251,179-13
14 Aug 2026, 13:2851,192-12
13 Aug 2026, 06:5551,204-19
11 Aug 2026, 10:4351,223-11
10 Aug 2026, 08:1651,234-18
9 Aug 2026, 11:0151,252-36
8 Aug 2026, 10:5551,288-10
7 Aug 2026, 07:2351,298+4
7 Aug 2026, 03:0051,294first reading

Engagement

49 posts held, back to 30 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 37 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.36%
avg views ÷ 51,126 subscribers
Avg views / post
4,270
49 posts measured
Reaction rate
0.425%
reactions ÷ views · ER floor
Posts in window
49
of 49 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 held49 (30 July 202622 August 2026)
Views total209,370
Reactions total889
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 14:06 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
2,780
Videos
470
Links
1,240

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
5m 52s
Average length
39s

Measured directly from 9 videos 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

889 reactions across 49 posts, in 12 distinct kinds. The most used accounts for 34.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
30334.1%
👍19922.4%
🤣18921.3%
🔥10011.2%
👀485.40%
😁141.57%
🤯141.57%
😢111.24%
🌚60.675%
🏆20.225%
🤔20.225%
🤝10.112%

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 49 of the 49 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 889reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 49 most recent posts we hold, published 30 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 49 we hold a reading for · 2%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @PythonPortal. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 49 most recent posts we hold for this entry, published 30 July 2026 to 22 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

22 Aug 2026, 06:07 UTC≈1,590 views23 reactionsread 22 August 2026
Video

Обычный VPS у большинства провайдеров стоит $20–40 в месяц. А этот README на GitHub ещё с 2015 года рассказывает, как получить примерно то же самое за $0. Проект называется free-for-dev. У него 132 тысячи звёзд, он до сих пор ежедневно поддерживается, а больше 1600 участников постоянно добавляют новые бесплатные тарифы и удаляют те, которые больше не работают. И речь не про 14-дневные пробные периоды. Правило прост

👍155🤯3

21 Aug 2026, 16:07 UTC≈2,220 views12 reactionsread 22 August 2026
Photo

Срочная новость: OpenAI тайно и очень сильно урезала лимиты некоторым подписчикам Codex 💔 Если последние пару дней вам казалось, что лимит Codex расходуется с какой-то абсурдной скоростью, пока не спешите паниковать. Например, вчера вечером я сбросил свой недельный лимит, а только что запустил простую задачу — и бац, уже минус 2% лимита. Тем временем на Reddit в последнее время появилось множество похожих сообщени

🔥9🤯3

21 Aug 2026, 06:07 UTC≈3,050 views27 reactionsread 22 August 2026
Photo

Чёрт, мозговая ткань умершего человека всё ещё может продолжать обучаться. Французская команда буквально подключила «мёртвую человеческую мозговую ткань» к роботу и научила её играть на пианино. И это не научная фантастика — работа только что опубликована на платформе препринтов. Исследователи взяли срезы ткани мозга взрослого человека вскоре после смерти, пока клетки всё ещё сохраняли активность, и подключили их

👀198

20 Aug 2026, 16:07 UTC≈2,920 views11 reactionsread 22 August 2026

GitHub объявил причину своего масштабного глобального сбоя, который произошёл два дня назад. 17 августа GitHub пережил продолжительный сбой длительностью 7 часов 47 минут, который затронул Issues, PR, API, Actions, Copilot и другие сервисы. В пиковые моменты доля ошибок в веб-версии и API составляла около 20%, а при скачивании архивов репозиториев и raw-файлов доходила до 50%. Изначальная ошибка на самом деле была

8🔥3

20 Aug 2026, 06:07 UTC≈3,140 views9 reactionsread 22 August 2026

Python может помочь инженерам-механикам автоматизировать рабочие процессы, анализировать данные и решать сложные инженерные задачи. В этом курсе разбирается Python именно для машиностроения — от базовых концепций программирования до практического применения в инженерных задачах. В программе NumPy, Pandas и Matplotlib, работа с ИИ в инженерных процессах и несколько практических кейсов. https://freecodecamp.org/news

9

19 Aug 2026, 16:07 UTC≈3,380 views10 reactionsread 22 August 2026
Photo

Большой брат следит за тобой. 😂 https://github.com/arxhr007/Aliens_eye Aliens_eye - ищет аккаунты по одному имени пользователя сразу на 840+ платформах и с помощью ИИ определяет, какие профили действительно принадлежат нужному человеку. Aliens_eye также извлекает доступные данные из найденных профилей. Проект написан на Python, распространяется по лицензии MIT и сейчас набрал около 3,1 тыс. звёзд на GitHub. 👉 @Py

🌚6🔥3🤣1

19 Aug 2026, 06:07 UTC≈3,540 views16 reactions1 Starread 22 August 2026
Photo

А вы знали, что в Python можно делать перегрузку функций с помощью functools? Вот пример: 👉 @PythonPortal

🔥133

18 Aug 2026, 16:07 UTC≈3,790 views4 reactionsread 22 August 2026
Photo

Обновлённый курс CS 8803 «Large Language Model» в Georgia Tech на 2026 год. Список материалов охватывает предобучение, MoE, рассуждения, обучение с подкреплением и self-play, агентов, длинный контекст, масштабирование во время инференса, диффузионные языковые модели, безопасность, интерпретируемость и многое другое. - https://cocoxu.github.io/CS8803-LLM-spring2026/ - https://docs.google.com/spreadsheets/d/1Oisf4imo

4

18 Aug 2026, 06:07 UTC≈4,040 views14 reactionsread 22 August 2026
Photo

«Natural Language Processing and Large Language Models» — новая книга в открытом доступе от Springer, написанная Chengqing Zong, Yang Zhao и Yanjun Ma. Почти 400 страниц с введением в современную обработку естественного языка и большие языковые модели. Внутри: нейросети, распределённые представления, языковые модели, Transformers, BERT, GPT, токенизация, классификация тональности, извлечение информации, суммаризаци

9👍5

17 Aug 2026, 16:07 UTC≈4,480 views17 reactionsread 22 August 2026
Photo

DeepSeek открыла исходный код полноценного агентного фреймворка для программирования, который бесплатно может заменить тариф Claude Code за $200 в месяц. → Здесь всё построено на плагинах: адаптеры моделей, инструменты, журналы сессий и сам цикл агента можно менять через конфигурацию. → В основе лежит Cordis — собственная среда плагинов DeepSeek. → Локальный веб-интерфейс запускается одной командой: npx @deepseek

11👍5🤣1

17 Aug 2026, 06:07 UTC≈3,960 views8 reactionsread 22 August 2026
Photo

Competitive Programmer’s Handbook — руководство по спортивному программированию. Книга рассчитана на студентов, которые хотят изучить алгоритмы и, возможно, готовиться к Международной олимпиаде по информатике IOI или Международному студенческому чемпионату по программированию ICPC. PDF доступен бесплатно. https://cses.fi/book/book.pdf 👉 @PythonPortal

6👍2

16 Aug 2026, 16:07 UTC≈4,110 views7 reactionsread 22 August 2026
Video

Запускать и обучать модели локально теперь можно прямо через настольное приложение Unsloth Desktop. Проект с открытым исходным кодом и работает на macOS, Windows и Linux. Также можно использовать Claude Code и Codex с локальными моделями. Авторы заявляют обучение до 2 раз быстрее и снижение потребления видеопамяти до 70%. Репозиторий Unsloth открыт на GitHub. https://github.com/unslothai/unsloth 👉 @PythonPortal

7

Showing the 12 most recent of 49 posts we hold for @PythonPortal. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 318,939 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 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.

IT Portal
@IT_Portal · 101,184
Telegram ranks this channel #3 of 78 here — alongside 77 others — read 15 August 2026
Простой Python | Программирование
@python_piton_javascript · 128,051
Telegram ranks this channel #3 of 84 here — alongside 83 others — read 13 August 2026
Однажды в трендах
@trendo · 69,017
Telegram ranks this channel #20 of 90 here — alongside 89 others — read 20 August 2026
[PYTHON:TODAY]
@python2day · 63,879
Telegram ranks this channel #22 of 91 here — alongside 90 others — read 21 August 2026
Хауди Хо - IT юмор, жизнь программиста
@howdyho_official · 80,043
Telegram ranks this channel #61 of 90 here — alongside 89 others — read 18 August 2026

This channel appears in 5 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 Portal” (@PythonPortal), 51,126 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/PythonPortal.

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.