Бесплатная книга по Physics-based Deep Learning 461-страничный учебник о применении глубокого обучения в физических симуляциях. Внутри: - Physics-Informed Neural Networks - физические ограничения в loss-функциях - дифференцируемые симуляции - обучение с подкреплением - моделирование неопределённости - практические примеры в Jupyter Notebook Полезно для изучения научного ML, PINN и нейросетевого решения физических…

Channel
📚Python Books
@pythonlbooks
On this record: Topic · Growth · Engagement · What this channel posts · Advertising · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
33,388subscribers
-289 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 | -1001441817281 |
|---|---|
| Type | Channel |
| Username | @pythonlbooks |
| Description | 📚Python библиотека admin - @workakkk @ai_machinelearning_big_data - машинное обучение @programming_books_it - бесплатные it книги @pythonl - 🐍 @ArtificialIntelligencedl - AI @datascienceiot - ml РКН: clck.ru/3FmsTi |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 36 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/pythonlbooks |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 80% 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 19:59 | 33,388 | -30 |
| 19 Sept 2026, 07:40 | 33,418 | -17 |
| 16 Sept 2026, 18:58 | 33,435 | -22 |
| 14 Sept 2026, 20:21 | 33,457 | +1 |
| 13 Sept 2026, 05:41 | 33,456 | -30 |
| 11 Sept 2026, 06:58 | 33,486 | -16 |
| 8 Sept 2026, 14:40 | 33,502 | -40 |
| 5 Sept 2026, 08:59 | 33,542 | -7 |
| 3 Sept 2026, 15:39 | 33,549 | +1 |
| 2 Sept 2026, 07:06 | 33,548 | +21 |
| 1 Sept 2026, 05:06 | 33,527 | +1 |
| 31 Aug 2026, 04:05 | 33,526 | -17 |
| 30 Aug 2026, 01:29 | 33,543 | -2 |
| 29 Aug 2026, 00:23 | 33,545 | -5 |
| 28 Aug 2026, 03:12 | 33,550 | -14 |
| 27 Aug 2026, 06:06 | 33,564 | -3 |
| 26 Aug 2026, 02:44 | 33,567 | -16 |
| 24 Aug 2026, 23:08 | 33,583 | -14 |
| 23 Aug 2026, 12:04 | 33,597 | +9 |
| 22 Aug 2026, 00:24 | 33,588 | first reading |
Engagement
31 posts held, back to 29 May 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 88 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 8.94%
- avg views ÷ 33,388 subscribers
- Avg views / post
- 2,990
- 6 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 6
- of 31 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.
| Window | Rolling 30 days · latest post in window 22 September 2026 |
|---|---|
| Posts held | 31 (29 May 2026 – 22 September 2026) |
| Views total | 17,910 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 07:04 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
- ≈5
- Links
- ≈1,130
Lifetime counters from Telegram’s own channel header, read 27 September 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
- 37s
- Average length
- 19s
Measured directly from 2 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.
Advertising
- Ad load
- 3.23%
- 1 of 31 posts carry an ad marker
- Regulatory tokens
- 1
- posts carrying an erid · 1 distinct token
- Median views · ads
- 3,510
- over 1 measured post
- Median views · rest
- 3,920
- over 30 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| 2Vtzqv11YLS | 1 | 4 August 2026 | 4 August 2026 |
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 31 most recent posts we hold, published 29 May 2026 to 22 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
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📚 Бесплатный 17-страничный PDF по Hidden Markov Models Короткий и плотный разбор HMM от Stanford. Внутри: - скрытые состояния и наблюдения - transition и emission probabilities - вычисление вероятности последовательности - Forward algorithm - Viterbi algorithm - обучение параметров модели - базовые примеры применения Хороший материал, чтобы быстро понять HMM без огромного учебника. PDF: https://web.stanford.edu/…
MIT бесплатно выложил 920-страничный учебник Mathematics for Computer Science. Это большой курс по математике, которая реально нужна в Computer Science. Внутри: - логика и доказательства - множества и отношения - индукция - графы - теория чисел - рекуррентные соотношения - комбинаторика - вероятность - дискретные структуры и алгоритмическое мышление Хорошая база для алгоритмов, теории вычислений и более серьёзног…
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Showing the 12 most recent of 31 posts we hold for @pythonlbooks. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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
Names
Channels on the register whose handles appear in this channel's posts.
@ai_machinelearning_big_data · 279,4173 postsAndroid разработка
@android_its · 4,8803 postsBig Data AI
@bigdatai · 18,2013 postsC++ Academy
@cpluspluc · 15,5363 postsC# 1001 notes
@csharp_1001_notes · 6,6513 postsАнализ данных (Data analysis)
@data_analysis_ml · 50,6563 postsМатематика Дата саентиста
@data_math · 14,2783 postsDevOps
@DevOPSitsec · 23,6843 postsАнглийский для программистов
@english_forprogrammers · 8,2683 postsGameDev Pulse
@GameDEV · 4,2673 postsGolang
@Golang_google · 40,4613 postsHaskell
@haskell_tg · 5853 postsJavascript
@javascriptv · 17,0643 postsLinux Academy
@linuxacademiya · 28,4343 postsKali Linux
@linuxkalii · 55,4123 postsMachine learning Interview
@machinelearning_interview · 30,3083 postsIT мемы | Мемы программиста
@memes_prog · 6,2623 postsМобильная разработка
@mobdevelop · 3,8823 postsPHP Academy
@phpshka · 9,2453 postsPython вопросы с собеседований
@python_job_interview · 24,8813 postsPython/ django
@pythonl · 58,8663 postsReact JS
@react_tg · 16,2793 postsRust
@rust_code · 8,8703 postsData Science. SQL hub
@sqlhub · 35,9603 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.
Handles this channel named that no longer answer
- Dead references
- 3
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 3
- vacant every time we have ever looked
@pythonlbooks named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 13 posts, 8 August 2026 – 2 September 2026
named in 13 posts, 8 August 2026 – 2 September 2026
named in 4 posts, 8 August 2026 – 26 August 2026
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.
@pythonl · 58,866
Telegram ranks this channel #5 of 84 here — alongside 83 others — read 22 August 2026
@CodeProgrammer · 68,301
Telegram ranks this channel #33 of 84 here — alongside 83 others — read 20 August 2026
@computer_science_and_programming · 139,806
Telegram ranks this channel #38 of 87 here — alongside 86 others — read 13 August 2026
@dsabooks · 59,137
Telegram ranks this channel #54 of 89 here — alongside 88 others — read 22 August 2026
@DeepLearning_ai · 57,432
Telegram ranks this channel #65 of 87 here — alongside 86 others — read 23 August 2026
@pythondevelopersindia · 63,430
Telegram ranks this channel #74 of 86 here — alongside 85 others — read 21 August 2026
@Artificial_intelligence_in · 65,766
Telegram ranks this channel #81 of 90 here — alongside 89 others — read 21 August 2026
@vistehno · 71,491
Telegram ranks this channel #93 of 94 here — alongside 93 others — read 20 August 2026
This channel appears in 8 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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“📚Python Books” (@pythonlbooks), 33,388 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/pythonlbooks.
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.