3 measurements spanning 3 days, net +50. 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 6,846–6,911 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 17:41
6,903
+50
8 Aug 2026, 03:58
6,853
no change
7 Aug 2026, 17:01
6,853
first reading
Engagement
28 posts held, back to 31 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 10 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
6.79%
avg views ÷ 6,903 subscribers
Avg views / post
469
28 posts measured
Reaction rate
0.643%
reactions ÷ views · ER floor
Posts in window
28
of 28 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 26 of 28 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 11 August 2026
Posts held
28 (31 July 2026 – 11 August 2026)
Views total
13,120
Reactions total
78
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 02:38 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
≈1,140
Videos
≈106
Links
≈984
Lifetime counters from Telegram’s own channel header, read 12 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
1m 24s
Average length
1m 24s
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
78 reactions across 26 posts, in 6 distinct kinds. The most used accounts for 60.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
47
60.3%
👍
18
23.1%
🔥
7
8.97%
🤝
4
5.13%
👀
1
1.28%
🙈
1
1.28%
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 26 of the 28 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 78reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 31 July 2026 to 11 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.
«The Mathematics of Bitcoin» — короткая работа, которая разбирает Bitcoin с математической точки зрения.
В ней используются теория вероятностей, случайные процессы, мартингалы, комбинаторика и специальные функции, чтобы исследовать механизмы протокола Bitcoin.
В частности, авторы разбирают вероятность двойной траты, прибыльность майнинга, генерацию блоков, стратегии майнеров и устойчивость протокола.
Если хочется …
Директор по исследованиям Google написал корректор орфографии всего в 21 строку Python.
Питер Норвиг сделал его как простой пример того, как работает вероятностное исправление опечаток.
Скрипт генерирует слова, отличающиеся на одно или два изменения, а затем выбирает наиболее вероятный вариант на основе корпуса текста.
✈️ Python Ninja
Rio — это Python-фреймворк для создания сайтов и приложений с компонентами в стиле React, но без необходимости писать HTML, CSS или JavaScript.
— всё приложение пишется на Python, отдельный фронтенд-стек не нужен;
— есть готовые компоненты, из которых можно собирать собственные элементы и целые приложения;
— работает локально и в браузере;
— есть туториал, примеры и документация для быстрого старта.
https://github.…
Наткнулся на весьма неплохой гайд на Хабре для новичков Pytest
Если давно хотел разобраться, что за зверь этот pytest и с чего начать, — вот тот самый материал. Минимум занудства, максимум пользы: фикстуры, метки, примеры, лайфхаки
После прочтения реально хочется пойти и написать свой первый тест 💪
☝️ Ссылка источник
✈️ Python Ninja
Этот проект позволяет бесплатно запускать AWS локально.
Без аккаунтов и каких-либо обходных схем. Отлично подходит для практики.
Называется Floci и поддерживает 69 сервисов, включая S3, SQS, Lambda, DynamoDB и RDS.
http://github.com/floci-io/floci
✈️ Python Ninja
Это важно: OpenAI запускает Agent Plugins.
Открытый стандарт для упаковки навыков и MCP-серверов в единый пакет, который можно использовать в разных клиентах.
Стандарт поддерживают AWS, Cursor, GitHub, Microsoft, Vercel и другие.
https://github.com/agentplugins/agent-plugins-spec
✈️ Python Ninja
«Introduction to Machine Learning» — ещё один бесплатный учебник по машинному обучению объёмом около 600 страниц, который делает акцент на глубоком математическом понимании предмета.
Книга начинается с математической базы, необходимой для дальнейшего изучения: линейной алгебры, математического анализа, теории вероятностей, матричного анализа и методов оптимизации. Затем разбираются основные алгоритмы обучения с учит…
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И это только начало. Те, кто освоит вайбкодинг сейчас, смогут быстрее запускать проект…
NVIDIA открыла исходники Голосовые ИИ больше никогда не будут прежними
Nemotron VoiceChat — первый открытый голосовой агент, который вызывает любые инструменты в реальном времени.
• Общается естественно, почти без пауз, и поддерживает эмоциональную речь.
• Позволяет перебивать себя прямо во время ответа с задержкой всего 480 мс
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• Поддерживает му…
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🎓 Практические курсы и задания
🪽 Книги и статьи известных авторов
😮💨 Полезные инструменты и ресурсы
🌟 IT-новости и инсайды
Обучение по всем направлениям: SQL, Python, Fro…
NVIDIA представила и открыла исходный код NOOA — нового фреймворка для создания ИИ-агентов.
Его главная идея — описывать агента как один Python-класс, а не разносить логику по промптам, схемам инструментов, колбэкам и графам выполнения.
В NOOA:
• методы — это действия агента;
• поля — его состояние;
• docstring становятся промптами;
• тип возвращаемого значения задаёт контракт ответа.
Самая интересная особенность …
🔥5
Showing the 12 most recent of 28 posts we hold for @python_Ninjas. 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.
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 28 most recent posts we hold, published 31 July 2026 to 11 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Mentions
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.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“Python Ninja | Программирование” (@python_Ninjas), 6,903 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/python_Ninjas.
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.