Streamlit vs Flask Which Python Framework Is Better Из этого видео вы узнаете о ключевых различиях между Streamlit и Flask — двумя популярными фреймворками на Python, используемыми для веб-разработки и развертывания приложений для работы с данными. Мы сравним их простоту использования, гибкость, производительность и оптимальные сценарии применения, чтобы помочь вам выбрать фреймворк, который лучше всего подходит дл…

Channel
Clean Code
@codeclean
On this record: Growth · Engagement · What this channel posts · Posts · Polls · Citations · Cite this entry
12,158subscribers
+2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001438683880 |
|---|---|
| Type | Channel |
| Username | @codeclean |
| Description | Советы по написанию кода, обзоры распространенных ошибок и многое другое. Ссылка: @Portal_v_IT Сотрудничество: @oleginc, @tatiana_inc РКН: clck.ru/3Ht6ch |
| Created | 6 January 2019 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/codeclean |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 13:46 | 12,158 | -2 |
| 11 Aug 2026, 11:43 | 12,160 | -2 |
| 10 Aug 2026, 12:13 | 12,162 | +1 |
| 9 Aug 2026, 14:13 | 12,161 | -3 |
| 8 Aug 2026, 15:41 | 12,164 | +6 |
| 7 Aug 2026, 12:12 | 12,158 | +2 |
| 6 Aug 2026, 13:31 | 12,156 | first reading |
Engagement
37 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 21 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.08%
- avg views ÷ 12,158 subscribers
- Avg views / post
- 496
- 37 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 37
- of 37 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 12 August 2026 |
|---|---|
| Posts held | 37 (31 July 2026 – 12 August 2026) |
| Views total | 18,353 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 04:51 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
- ≈2,810
- Videos
- ≈12
- Links
- ≈3,940
Lifetime counters from Telegram’s own channel header, read 13 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
- 4s
- Average length
- 4s
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.
Recent posts
Хватит ли у тебя IQ понять этот код? Пишем на Ассемблере, пока Мир горит! Полное описание всех плюсов программирования на ассемблере в современном IT-Системе. Про то, что забыли, что скрывают и про что никогда не расскажет ИИ! Пока вы возитесь с Python и C# в бесконечных фреймворках – мы управляем системой напрямую через Win32 API 📺 YouTube Clean Code
Posted without readable text
📖Learn AI-assisted Python Programming 🖋Leo Porter | 2024 Из этой книги вы узнаете, как создавать и улучшать программы на Python с помощью искусственного интеллекта, даже если вы никогда не писали ни строчки кода. Не тратьте время на медленные и низкоуровневые аспекты программирования, а вместо этого узнайте, как ИИ-помощник может мгновенно воплотить ваши идеи в жизнь. По ходу дела вы даже выучите достаточно Python…
📖Transformer, BERT, and GPT 🖋O. Campesato | 2024 В этой книге подробно рассматриваются архитектура Transformer, модели BERT и серия GPT, в том числе GPT-3 и GPT-4. Книга состоит из десяти глав и начинается с базовых концепций, таких как механизм внимания, затем переходит к методам токенизации, исследует нюансы архитектур Transformer и BERT и завершается продвинутыми темами, связанными с новейшими моделями серии GPT,…
👩💻 Всем программистам посвящается! Вот 14 авторских обучающих IT каналов по самым востребованным областям программирования: Выбирай своё направление: 👩💻 Python — t.me/python_ready 🤔 InfoSec & Хакинг — t.me/hacking_ready 🖥 SQL & Базы Данных — t.me/sql_ready 👩💻 IT Новости — t.me/it_ready 🤖 AI & ML — t.me/neuro_ready 👩💻 Frontend — t.me/frontend_ready 👩💻 C/C++ — https://t.me/cpp_ready 👩💻 C# & Unity — t.…
Posted without readable text
Фронтенд - заповедник САМЫХ ТУПЫХ айтишников. Почему? Конечно громко сказано, давай разбираться, что здесь правда, а что кринж. Фронтенд разработка давно залужила дурную славу. 📺 YouTube Clean Code
ИИ НЕ СМОГ СДЕЛАТЬ ИГРУ Инфоцыгане опять обманули миллионы человек и я тоже пал жертвой этого ИИ обмана. Вайбкодинг это не просто... 📺 YouTube Clean Code
📑 Ответ
- EndWith85%
- Ends7%
- Finishes0%
- FinishesWith8%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Clean Code #test #Csharp Выберите правильный вариант 👇🏼
📑 Ответ
- <fieldset>41%
- <formgroup>41%
- <inputgroup>8%
- <controlgroup>10%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Showing the 12 most recent of 37 posts we hold for @codeclean. 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 5 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.
📑 Ответ
- EndWith85%
- Ends7%
- Finishes0%
- FinishesWith8%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
📑 Ответ
- <fieldset>41%
- <formgroup>41%
- <inputgroup>8%
- <controlgroup>10%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
📑 Ответ
- localStorage55%
- CacheStorage29%
- databaseAPI6%
- sessionStorage9%
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
📑 Ответ
- Stack80%
- LinkedList1%
- Queue14%
- List5%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
📑 Ответ
- Task.WaitAll33%
- Task.WhenAll13%
- Task.AwaitAll35%
- Task.CompleteAll19%
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 37 most recent posts we hold, published 31 July 2026 to 12 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.
Citation-graph rank
Citation-graph rank — 708,000 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.
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
Named by 2 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.
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Clean Code” (@codeclean), 12,158 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/codeclean.
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.