Telegram RegisterThe public register of Telegram

Channel

Книги по Python | Books Python 📚

@python_360

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

6,005subscribers

-12 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-1001607128833
TypeChannel
Username@python_360
DescriptionPython книги. По всем вопросам @evgenycarter
CreatedBetween 1 November 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/python_360

Growth

6,0056,0176,0117 August 2026 — 6,017 subscribers7 August 2026 — 6,016 subscribers10 August 2026 — 6,005 subscribers7 August 202610 August 2026
3 measurements spanning 4 days, net -12. 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 6,003–6,019 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 20:456,005-11
7 Aug 2026, 15:286,016-1
7 Aug 2026, 06:156,017first reading

Engagement

20 posts held, back to 16 June 2025the 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
4.26%
avg views ÷ 6,005 subscribers
Avg views / post
256
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 20 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 8 August 2026
Posts held20 (16 June 20258 August 2026)
Views total256
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:37 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
252
Videos
4
Links
259

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. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

71 reactions across 19 posts, in 7 distinct kinds. The most used accounts for 49.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3549.3%
2028.2%
💩68.45%
👎57.04%
🤡34.23%
🗿11.41%
🤮11.41%

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 19 of the 20 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 71reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 16 June 2025 to 8 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

8 Aug 2026, 12:01 UTC256 viewsread 12 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

30 Jun 2026, 05:55 UTC≈1,020 views1 reactionsread 12 August 2026
Photo

Python for Algorithmic Trading Cookbook: Recipes for designing, building, and deploying algorithmic trading strategies with Python Автор: Jason Strimpel (2024) Подробные рецепты помогут вам использовать передовой OpenBB SDK для сбора свободно распространяемых данных по акциям, опционам и фьючерсам, а также создать собственную исследовательскую среду с использованием таких молниеносных методов хранения данных, как SQ

👍1

28 Jun 2026, 11:20 UTC817 views7 reactionsread 12 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 Excel лайф

👎3👍2🤡2

25 Jun 2026, 11:19 UTC968 views1 reactionsread 12 August 2026
Photo

📚 Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib Автор: Robert Johansson (2019) Это полностью переработанное издание, демонстрирует, как численно вычислять решения и математически моделировать задачи в области больших данных, облачных вычислений, финансового инжиниринга, управления бизнесом. Прочитав эту книгу, читатели познакомятся со многими вычислительными т

👍1

18 Apr 2026, 09:56 UTC≈1,470 views13 reactionsread 12 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 1C разрабо

💩6👍4👎2🤡1

18 Apr 2026, 09:30 UTC≈1,170 views1 reactionsread 12 August 2026
Photo

📚Automate the Boring Stuff with Python, 3rd Edition Al Sweigart Изучайте программирование для автоматизации. В XXI веке каждому нужно научиться программировать, верно? Но не всем нужно становиться инженером-программистом или специалистом по информатике. Книга «Автоматизируйте рутинную работу с помощью Python» написана для офисных работников, студентов, администраторов и всех, кто пользуется компьютером, и рассказыва

👍1

4 Apr 2026, 06:18 UTC≈1,420 views5 reactionsread 12 August 2026
Photo

📚 Security Automation with Python: Practical Python solutions for automating and scaling security operations Автор: Corey Charles (2025) Автор рассказывает, как автоматизировать задачи информационной безопасности с помощью Python, решая главную проблему безопасности — масштабируемость. Он делится своим опытом в управлении уязвимостями и объясняет, как автоматизация может упростить работу команд и повысить общий уро

👍5

29 Jan 2026, 11:54 UTC≈2,790 views1 reactionsread 12 August 2026
Photo

Interpretable Machine Learning with Python, 2nd Edition: Build explainable, fair, and robust high-performance models with hands-on, real-world examples Автор: Serg Masis (2023) Второе издание раскрывает ключевые понятия интерпретации моделей машинного обучения на основе анализа реальных данных, предоставляя вам широкий спектр навыков и инструментов для расшифровки результатов даже самых сложных моделей. Скачать 👉

👍1

13 Jan 2026, 20:32 UTC≈3,010 views9 reactionsread 12 August 2026
Photo

Python for Scientists, 3rd Edition Автор: John M. Stewart (2023) Python - бесплатный, с открытым исходным кодом, простой в использовании программный инструмент, представляющий собой значительную альтернативу таким проприетарным пакетам, как MATLAB и Mathematica. Эта книга охватывает все, что необходимо знать работающему ученому, чтобы начать эффективно использовать Python. Автор объясняет научный Python с нуля, пока

7👍2

7 Dec 2025, 19:02 UTC≈3,460 views1 reactionsread 12 August 2026
Photo

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib Автор: Robert Johansson (2019) Это полностью переработанное издание, демонстрирует, как численно вычислять решения и математически моделировать задачи в области больших данных, облачных вычислений, финансового инжиниринга, управления бизнесом. Прочитав эту книгу, читатели познакомятся со многими вычислительными тех

👍1

16 Nov 2025, 20:28 UTC≈3,160 views1 reactionsread 12 August 2026
Photo

Django 3 By Example: Build powerful and reliable Python web applications from scratch Antonio Melé (2020) Эта книга предназначена для разработчиков со знанием Python, которые хотят изучить Django прагматичным способом. Возможно, вы совсем новичок в Django, или вы уже немного знаете, но хотите извлечь из него максимум пользы. Эта книга поможет вам освоить наиболее актуальные области фреймворка, создавая практические

👍1

25 Oct 2025, 18:09 UTC≈3,590 views4 reactionsread 12 August 2026
Photo

🔖Think Python, 2nd edition Автор: Allen B. Downey Think Python — это введение в программирование на Python для начинающих. Книга начинается с базовых концепций программирования; она тщательно построена так, чтобы определять все термины при их первом употреблении и развивать каждую новую идею в логической последовательности. Более крупные темы, такие как рекурсия и объектно-ориентированное программирование, разделены

👍4

Showing the 12 most recent of 20 posts we hold for @python_360. 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 — 1,101,470 of 1,160,990entries 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.

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.

“Книги по Python | Books Python 📚” (@python_360), 6,005 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/python_360.

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.