2 measurements spanning 5 days. 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 10–12 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 07:46
11
no change
7 Aug 2026, 15:43
11
first reading
Engagement
10 posts held, back to 17 October 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof 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 10 posts for this entry, the most recent from 15 April 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
1
Links
4
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
30 reactions across 6 posts, in 7 distinct kinds. The most used accounts for 40.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
12
40.0%
👍
10
33.3%
🤮
3
10.0%
🙊
2
6.67%
❤
1
3.33%
😁
1
3.33%
😱
1
3.33%
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 6 of the 10 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 30reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 17 October 2023 to 15 April 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.
AI Agentlar - kelajak (yoki allaqachon bugun)
LLM chat botlar (ChatGPT masalan) dasturlash sohasida ko'p narsani o'zgartirmagan bo'lishi mumkin, lekin AI agentlar, MCP serverlar juda sezilarli ta'sir qildi (Anthropic sharofati bilan).
Oxirgi 1 oyda qilayotgan ishim agentlarni boshqarish va ularni to'g'ri MCP serverlarga ulash bo'lyapti, kod yozish emas. Hattoki, ishdagi ticketlarni yoki PR izohlarini ham VS Code ic…
Vayb koding dasturchilarni ishsiz qoldiradimi?
2025-yil boshida Andrey Karpaty tomonidan ommalashtirilgan vayb dasturlash bir soʻz bilan aytganda dasturchilarni ishsiz qoldiradi. Ammo, qanday dasturchilar ishsiz qoladi? Koʻrib chiqamiz.
Xullas, Goldman Sachs investitsiya banki hisobotiga ko‘ra, sun’iy intellekt 300 mlnta ish o‘rniga teng vazifalarni almashtirishi mumkin. AQSh va Yevropada ishdagi vazifalarning qari…
print() – bu funksiyaning asosiy vazifa konsolga ma’lumotni chiqarish.
len() – berilgan obyektning uzunligini(ichida nechta element borligini) o’lchaydi va int qaytaradi.
type() – berilgan o’zgaruvchi yoki obyektning ma’lumot turini aniqlab beradi.
range(start, stop, step) – bu funksiya berilgan argumentlar asosida ketma ketlik yaratib beradi
masalan: range(0,100, 10) – bu misol 0 dan 100 gacha 10 qadamdan yurgan …
Python modullari nima?
Python'dagi modul, o'zgaruvchilar, funksiyalar va sinflarni o'z ichiga olgan, qayta ishlatilishi mumkin bo'lgan dastur kodlar to'plamidir. Bu modullar alohida fayllarda saqlanadi va ularning har biri o'z nomiga ega bo'ladi. Modulning asosiy maqsadi, kodni qayta ishlatishni osonlashtirish va dasturlarni tashkiliy tuzilishga ega qilishdir.
Python Modullarining Afzalliklari
Kodni Qayta Ishlatish:…
Showing the 10 most recent of 10 posts we hold for @deep_learning_it. 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 poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Quyidagi variantlarda Pythondagi qaysi ma'lumot turlari to'g'ri keltirilgan?
int(), float(), text()28%
int(), str(), True and False, float()28%
str(), bool(), int(), float()42%
bool(), array(), float(), bool(), str()3%
Shares as published, totalling 101%. 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 10 most recent posts we hold, published 17 October 2023 to 15 April 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.
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
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.
“deep learning” (@deep_learning_it), 11 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/deep_learning_it.
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.
