Telegram RegisterThe public register of Telegram
Telegram profile photo for Книги по Python | Books Python 📚

Channel

Книги по Python | Books Python 📚

@python_360

On this record: Topic · Growth · Engagement · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

5,918subscribers

-99 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
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live8 November 2026
Measurements held23
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/python_360

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 65% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

5,9186,0175,967.57 August 2026 — 6,017 subscribers7 August 2026 — 6,016 subscribers10 August 2026 — 6,005 subscribers14 August 2026 — 6,002 subscribers17 August 2026 — 6,000 subscribers20 August 2026 — 5,996 subscribers24 August 2026 — 5,992 subscribers27 August 2026 — 5,988 subscribers31 August 2026 — 5,983 subscribers8 September 2026 — 5,975 subscribers12 September 2026 — 5,974 subscribers15 September 2026 — 5,976 subscribers25 September 2026 — 5,972 subscribers4 October 2026 — 5,959 subscribers11 October 2026 — 5,955 subscribers15 October 2026 — 5,952 subscribers18 October 2026 — 5,950 subscribers21 October 2026 — 5,943 subscribers24 October 2026 — 5,938 subscribers27 October 2026 — 5,935 subscribers2 November 2026 — 5,928 subscribers5 November 2026 — 5,925 subscribers8 November 2026 — 5,918 subscribers7 August 20268 November 2026
23 measurements spanning 94 days, net -99. 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 5,903–6,032 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)SubscribersChange
8 Nov 2026, 21:015,918-7
5 Nov 2026, 15:555,925-3
2 Nov 2026, 10:495,928-7
27 Oct 2026, 10:195,935-3
24 Oct 2026, 17:165,938-5
21 Oct 2026, 07:585,943-7
18 Oct 2026, 01:075,950-2
15 Oct 2026, 02:085,952-3
11 Oct 2026, 14:565,955-4
4 Oct 2026, 19:575,959-13
25 Sept 2026, 00:215,972-4
15 Sept 2026, 17:215,976+2
12 Sept 2026, 02:395,974-1
8 Sept 2026, 01:355,975-8
31 Aug 2026, 01:285,983-5
27 Aug 2026, 20:135,988-4
24 Aug 2026, 11:365,992-4
20 Aug 2026, 17:035,996-4
17 Aug 2026, 11:166,000-2
14 Aug 2026, 07:176,002first reading

Engagement

20 posts held, back to 16 June 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 12 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

73 reactions across 20 posts, in 7 distinct kinds. The most used accounts for 47.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3547.9%
❤2027.4%
👎79.59%
💩68.22%
🤡34.11%
🗿11.37%
🤮11.37%

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 20 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 73 reactions 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 UTC795 views2 reactionsread 5 November 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…

👎2

30 Jun 2026, 05:55 UTC≈1,410 views1 reactionsread 5 November 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 UTC≈1,100 views7 reactionsread 5 November 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 UTC≈1,220 views1 reactionsread 5 November 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≈1,680 views13 reactionsread 5 November 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≈1,350 views1 reactionsread 5 November 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≈1,570 views5 reactionsread 5 November 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≈2,940 views1 reactionsread 5 November 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≈3,130 views9 reactionsread 5 November 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≈3,560 views1 reactionsread 5 November 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≈3,250 views1 reactionsread 5 November 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≈3,670 views4 reactionsread 5 November 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.

Posts recorded as deleted after publishing

We recorded 1 post on @python_360 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
8 August 2026
Most recent seen missing
8 August 2026
Median time before seen missing
14 days
Seen missing in the last 30 days
0

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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“Книги по Python | Books Python 📚” (@python_360), 5,918 subscribers as measured 8 November 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.