Визуализация данных с помощью Python и JavaScript Описание: Практическое руководство по визуализации данных с помощью Python и JavaScript. Автор показывает полный цикл работы — от сбора и обработки данных до их представления в браузере. • Скачать книгу из архива #Python 📚 Полка Разработчика

Channel
Полка Разработчика
@developer_shelf
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry
26,876subscribers
-59 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001708324162 |
|---|---|
| Type | Channel |
| Username | @developer_shelf |
| Description | Секретный книжный архив 🗃 Ссылка: @Portal_v_IT Сотрудничество, авторские права: @oleginc Канал на бирже: https://telega.in/c/developer_shelf РКН: clck.ru/3Ht5KW |
| Created | 8 January 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 7 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 22 August 2026 |
| On Telegram | t.me/developer_shelf |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Aug 2026, 20:35 | 26,876 | -4 |
| 21 Aug 2026, 08:08 | 26,880 | -5 |
| 20 Aug 2026, 07:37 | 26,885 | -1 |
| 19 Aug 2026, 10:36 | 26,886 | -4 |
| 18 Aug 2026, 07:06 | 26,890 | -1 |
| 17 Aug 2026, 10:38 | 26,891 | -5 |
| 15 Aug 2026, 19:16 | 26,896 | -14 |
| 14 Aug 2026, 07:17 | 26,910 | -4 |
| 13 Aug 2026, 00:04 | 26,914 | -2 |
| 12 Aug 2026, 02:58 | 26,916 | -3 |
| 11 Aug 2026, 04:11 | 26,919 | -3 |
| 10 Aug 2026, 02:13 | 26,922 | -7 |
| 8 Aug 2026, 23:52 | 26,929 | -6 |
| 8 Aug 2026, 00:53 | 26,935 | no change |
| 7 Aug 2026, 03:17 | 26,935 | first reading |
Engagement
58 posts held, back to 29 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 42 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.31%
- avg views ÷ 26,876 subscribers
- Avg views / post
- 1,160
- 58 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 58
- of 58 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 23 August 2026 |
|---|---|
| Posts held | 58 (29 July 2026 – 23 August 2026) |
| Views total | 67,256 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Aug 2026, 20:16 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
- ≈4,830
- Videos
- ≈14
- Links
- ≈4,830
Lifetime counters from Telegram’s own channel header, read 23 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
- 42s
- Average length
- 21s
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.
Recent posts
Make games with Python Описание: Научиться программировать собственную игру в жанре «стрелялка» гораздо интереснее, чем победить любого босса в конце уровня. • Скачать книгу из архива #Python 📚 Полка Разработчика
Rust Unleashed Описание: В эпоху, когда требуется все более высокая производительность и абсолютная надежность, язык программирования Rust стал настоящим прорывом в системном программировании. «Революция Rust в мультимедиа» — это исчерпывающее руководство по использованию этого мощного языка для создания сложных мультимедийных приложений и элегантных десктопных интерфейсов. Эта книга не просто научит вас программиро…
A Mathematical Introduction to Data Science with Python Описание: Этот учебник является дополнением к книге «Математическое введение в науку о данных». В нем используется язык программирования Python, чтобы дать полное представление о математике, необходимой для науки о данных. Книга предназначена для всех, кто имеет базовые математические знания, в том числе для студентов и тех, кто занимается самообразованием и хо…
Generative AI for Game Development Описание: Эта книга даст вам знания, необходимые для освоения инструментов и методов генеративного искусственного интеллекта для создания сложных интерактивных игр. Независимо от того, хотите ли вы усовершенствовать свои текущие рабочие процессы или открыть для себя новые творческие горизонты, эта книга поможет вам создавать увлекательные, адаптивные и инновационные проекты, в кот…
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JavaScript. Основы программирования Описание: Издание предназначено в первую очередь для новичков в сфере информационных технологий, которые стремятся постигнуть необходимый набор алгоритмов для создания программ на JavaSсript, изучив основные конструкции этого языка для самостоятельного написания программного кода. Каждая рассматриваемая тема сопровождается простыми и понятными примерами, а также подробно разобранн…
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Machine Learning and Data Science Описание: Эта книга предлагает доступное практическое введение в основные принципы машинного обучения, статистического моделирования и практической науки о данных, не перегружая читателя сложными формулами и техническим жаргоном. • Скачать книгу из архива #DataScience 📚 Полка Разработчика
АЙТИШНИКИ БЕСПЛАТНОЕ ОБУЧЕНИЕ Проект «Terminal» стал крупнейшей библиотекой бесплатного образования. В одном канале собраны курсы, книги, полезные инструменты и практические тренажёры для всех разработчиков: • Практические курсы и задания • Книги и статьи известных авторов • Полезные инструменты и ресурсы • IT-новости и инсайды Обучение по всем направлениям: SQL, Python, ML, Frontend, PHP, C++, Go, Git, Linux, QA,…
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Showing the 12 most recent of 58 posts we hold for @developer_shelf. 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 — 1,528,783 of 1,585,237entries 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 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
@nuancesprog · 56,874
Telegram ranks this channel #33 of 84 here — alongside 83 others — read 23 August 2026
@pythonist24 · 56,254
Telegram ranks this channel #72 of 88 here — alongside 87 others — read 23 August 2026
This channel appears in 2 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 22 August 2026 — this entry's latest reading, not the date you are reading this.
“Полка Разработчика” (@developer_shelf), 26,876 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/developer_shelf.
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.