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Channel

Python - Советы, библиотеки, гайды

@xo_py

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

17,163subscribers

-168 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-1001504434831
TypeChannel
Username@xo_py
Created24 June 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live8 September 2026
Measurements held26
Confirmed unchanged1 time, most recently 8 September 2026
On Telegramt.me/xo_py

Growth

17,16317,33117,2477 August 2026 — 17,331 subscribers7 August 2026 — 17,328 subscribers8 August 2026 — 17,315 subscribers9 August 2026 — 17,313 subscribers10 August 2026 — 17,304 subscribers11 August 2026 — 17,292 subscribers12 August 2026 — 17,291 subscribers13 August 2026 — 17,286 subscribers15 August 2026 — 17,282 subscribers16 August 2026 — 17,281 subscribers17 August 2026 — 17,275 subscribers18 August 2026 — 17,273 subscribers19 August 2026 — 17,263 subscribers22 August 2026 — 17,257 subscribers24 August 2026 — 17,245 subscribers25 August 2026 — 17,233 subscribers26 August 2026 — 17,230 subscribers27 August 2026 — 17,216 subscribers28 August 2026 — 17,209 subscribers29 August 2026 — 17,207 subscribers30 August 2026 — 17,203 subscribers31 August 2026 — 17,201 subscribers2 September 2026 — 17,203 subscribers3 September 2026 — 17,193 subscribers5 September 2026 — 17,182 subscribers8 September 2026 — 17,163 subscribers7 August 20268 September 2026
26 measurements spanning 33 days, net -168. 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 17,138–17,356 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
8 Sept 2026, 16:3717,163-19
5 Sept 2026, 07:4017,182-11
3 Sept 2026, 09:3717,193-10
2 Sept 2026, 00:2417,203+2
31 Aug 2026, 03:1817,201-2
30 Aug 2026, 02:0317,203-4
29 Aug 2026, 03:0617,207-2
28 Aug 2026, 01:0717,209-7
27 Aug 2026, 03:5817,216-14
26 Aug 2026, 07:1817,230-3
25 Aug 2026, 07:3817,233-12
24 Aug 2026, 07:5417,245-12
22 Aug 2026, 12:1617,257-6
19 Aug 2026, 22:1717,263-10
18 Aug 2026, 22:0517,273-2
17 Aug 2026, 20:4617,275-6
16 Aug 2026, 17:1717,281-1
15 Aug 2026, 00:5617,282-4
13 Aug 2026, 18:1517,286-5
12 Aug 2026, 16:3817,291first reading

Engagement

23 posts held, back to 19 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 54 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
16.3%
avg views ÷ 17,163 subscribers
Avg views / post
2,800
3 posts measured
Reaction rate
2.78%
reactions ÷ views · ER floor
Posts in window
3
of 23 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 September 2026
Posts held23 (19 May 20262 September 2026)
Views total8,390
Reactions total233
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 09:29 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

Video runtime
10s
Average length
10s

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.

Reaction mix

1,290 reactions across 23 posts, in 19 distinct kinds. The most used accounts for 30.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤯39230.4%
😁28321.9%
17213.3%
❤‍🔥1088.37%
👍957.36%
🔥937.21%
🤔433.33%
🤡352.71%
😢221.71%
😐120.93%
😱80.62%
🌚70.543%
💯70.543%
🎉50.388%
20.155%
🎃20.155%
🐳20.155%
🤩10.078%
🦄10.078%

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 23 of the 23 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 1,290 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 19 May 2026 to 2 September 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
2
of 23 we hold a reading for · 9%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @xo_py. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 23 most recent posts we hold for this entry, published 19 May 2026 to 2 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

2 Sept 2026, 12:09 UTC≈1,140 views23 reactionsread 3 September 2026
Photo

rapidfuzz - быстрая библиотека написанная на С++ для нечёткого сравнения строк, замена FuzzyWuzzy, но без GPL-лицензии и в разы быстрее Например, если сравнить "питон" и "пайтон", библиотека покажет, что строки похожи на 72%, а "масква" среди списка городов сама найдёт "Москва" с похожестью почти 77%. 72.7 100.0 100.0 ('Москва', 76.9, 0) Также умеет в частичное сравнение (когда одна строка часть другой) и сравнение

👍125🔥5🌚1

11 Aug 2026, 11:59 UTC≈4,400 views103 reactionsread 3 September 2026
Photo

Написал Hello, world! на питоне первый раз в жизни, немножко волновался .. но вроде работает 🚬

🤯60😁24🔥104🤡3👍2

8 Aug 2026, 11:41 UTC≈4,640 views108 reactionsread 3 September 2026
Photo

И в чем он не прав? 🚬

🤯57😁34👍10😢32💯1🔥1

5 Aug 2026, 12:12 UTC≈4,780 views36 reactions1 Starread 3 September 2026
Photo

pyrogram - Библиотека, которая позволяет работать с Telegram через MTProto API. Проще говоря, с её помощью можно делать не только обычных ботов, но и полноценные “аккаунты-боты”, которые умеют почти всё то же, что и обычный пользователь. Короче это то на чём иногда пишут шлю#@ботов Для производительности рекомендуется использовать вместе с tgcrypto это ускоряет шифрование и дешифрование данных, благодаря чему Pyro

❤‍🔥23🔥5😱43👍1

4 Aug 2026, 14:42 UTC≈3,610 views19 reactionsread 3 September 2026
Video

LuxProxy.cc - девственные резидентские прокси ВСЕГО 1$/GB ❤️Для команд, фармеров, траферов, SEO, парсинга, скана и любых других задач. - 700к свежих айпи каждый день, 40М общий пул - оплата за трафик, не за "пакеты" - возможность ограничить прокси-лист по трафику - ГЕО таргетинг до города и ISP Берёте от 1 ТБ? Напишите нам — предложим индивидуальные оптовые условия. Наши ресурсы: BOT WEBSITE

🤡7😢7👍31🤔1

4 Aug 2026, 12:08 UTC≈2,880 views35 reactionsread 3 September 2026
Photo

uv - это инструмент от компании Astral, тех же разработчиков, что сделали Ruff (ультрабыстрый линтер для Python), С помощью неё заменяется связка pip + venv создаётся окружение, ставятся зависимости и запускается проект. Работает быстрее pip в 10–100 раз. Примеры uv venv - создать окружение uv pip install requests - установить пакет(очень быстро) uv run python main.py - запуск проекта Ставится ⚙️ pip install uv

🤯19🔥65👍4❤‍🔥1

27 Jun 2026, 13:57 UTC≈5,120 views118 reactions1 Starread 3 September 2026
Photo

Девушка сделала себе тату с кодом на Python 🚬 Но есть один нюанс, такой когда никогда не достигнет except :3

🤯6826👍12🤡4🌚3🔥2😁2🤔1

26 Jun 2026, 13:45 UTC≈4,380 views16 reactionsread 3 September 2026
Photo

Daphne - Если вам нужно Python приложения с поддержкой WebSocket, то эта библиотека отлично подойдёт. Библиотека принимает запросы от пользователей и передаёт их вашему Python-приложению. Ставится командой ⚙️ pip install daphne Документация и примеры кода здесь

🔥8👍4❤‍🔥21🤡1

25 Jun 2026, 15:01 UTC≈4,020 views38 reactionsread 3 September 2026
Photo

Теперь на GitVerse — зеркало PyPI! ⚡️ Python‑пакеты переехали на российскую платформу для разработчиков GitVerse — теперь зависимости подтягиваются быстрее, а пайплайны не зависят от доступности внешнего PyPI. Остаётся только выбрать: установить зеркало как основной источник или оставить как «страховку». Гайд по подключению.

🤡15😐12👍43🤔1🤯1🦄1😁1

25 Jun 2026, 14:16 UTC≈3,220 views12 reactionsread 3 September 2026
Photo

selectolax - Если вам нужно очень быстро парсить, то эта библиотека является лёгкой и быстрой альтернативой BeautifulSoup. Она идеально подходит для парсинга сайтов и извлечения данных. Ставится командой ⚙️ pip install selectolax Документация и примеры кода здесь

8👍3🔥1

25 Jun 2026, 12:40 UTC≈3,400 views37 reactionsread 3 September 2026

Posted without readable text

🤔26🤯62🔥2🌚1

Showing the 12 most recent of 23 posts we hold for @xo_py. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

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.

Хауди Хо - IT юмор, жизнь программиста
@howdyho_official · 79,333
Telegram ranks this channel #1 of 90 here — alongside 89 others — read 18 August 2026
[PYTHON:TODAY]
@python2day · 63,836
Telegram ranks this channel #26 of 91 here — alongside 90 others — read 21 August 2026
Senior Python Developer
@seniorpy · 39,952
Telegram ranks this channel #28 of 92 here — alongside 91 others — read 30 August 2026
Python обучающий
@pythonist24 · 56,078
Telegram ranks this channel #30 of 88 here — alongside 87 others — read 23 August 2026
Python Learning
@Python_per_month · 28,368
Telegram ranks this channel #31 of 86 here — alongside 85 others — read 9 September 2026
Простой Python | Программирование
@python_piton_javascript · 127,804
Telegram ranks this channel #36 of 84 here — alongside 83 others — read 13 August 2026
Python Academy
@python_academy · 44,417
Telegram ranks this channel #40 of 87 here — alongside 86 others — read 28 August 2026
Поколение Python 🐍
@pygen_ru · 49,715
Telegram ranks this channel #42 of 93 here — alongside 92 others — read 25 August 2026
Python Portal
@PythonPortal · 50,690
Telegram ranks this channel #43 of 80 here — alongside 79 others — read 25 August 2026
Python и 1000 уязвимостей
@osint_pythons · 36,563
Telegram ranks this channel #44 of 84 here — alongside 83 others — read 1 September 2026

This channel appears in 10 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 8 September 2026 — this entry's latest reading, not the date you are reading this.

“Python - Советы, библиотеки, гайды” (@xo_py), 17,163 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/xo_py.

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.