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Channel

[PYTHON:TODAY]

@python2day

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

63,764subscribers

-217 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-1001125084041
TypeChannel
Username@python2day
DescriptionPython скрипты, нейросети, боты, автоматизация. Всё бесплатно! Приват: https://boosty.to/pythontoday YouTube: https://clck.ru/3LfJhM Канал админа: @akagodlike Чат: @python2day_chat Сотрудничество: @web_runner Канал в РКН: https://clck.ru/3GBFVm
Created11 May 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live25 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/python2day

Topic

Gaming — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 55% 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

63,76463,98463,8746 August 2026 — 63,981 subscribers6 August 2026 — 63,984 subscribers7 August 2026 — 63,971 subscribers8 August 2026 — 63,958 subscribers10 August 2026 — 63,943 subscribers11 August 2026 — 63,952 subscribers12 August 2026 — 63,944 subscribers14 August 2026 — 63,943 subscribers15 August 2026 — 63,939 subscribers16 August 2026 — 63,934 subscribers17 August 2026 — 63,923 subscribers18 August 2026 — 63,924 subscribers19 August 2026 — 63,910 subscribers20 August 2026 — 63,895 subscribers22 August 2026 — 63,879 subscribers23 August 2026 — 63,889 subscribers25 August 2026 — 63,887 subscribers25 August 2026 — 63,874 subscribers27 August 2026 — 63,866 subscribers28 August 2026 — 63,888 subscribers29 August 2026 — 63,885 subscribers30 August 2026 — 63,873 subscribers31 August 2026 — 63,874 subscribers1 September 2026 — 63,865 subscribers2 September 2026 — 63,858 subscribers3 September 2026 — 63,857 subscribers5 September 2026 — 63,854 subscribers8 September 2026 — 63,836 subscribers11 September 2026 — 63,827 subscribers13 September 2026 — 63,830 subscribers14 September 2026 — 63,836 subscribers18 September 2026 — 63,812 subscribers25 September 2026 — 63,764 subscribers6 August 202625 September 2026
33 measurements spanning 51 days, net -217. 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 63,731–64,017 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
25 Sept 2026, 17:4063,764-48
18 Sept 2026, 23:3863,812-24
14 Sept 2026, 20:1863,836+6
13 Sept 2026, 05:3963,830+3
11 Sept 2026, 06:1963,827-9
8 Sept 2026, 11:5863,836-18
5 Sept 2026, 07:0063,854-3
3 Sept 2026, 09:5663,857-1
2 Sept 2026, 06:3663,858-7
1 Sept 2026, 05:4463,865-9
31 Aug 2026, 07:4763,874+1
30 Aug 2026, 08:2763,873-12
29 Aug 2026, 07:2763,885-3
28 Aug 2026, 06:2363,888+22
27 Aug 2026, 03:0363,866-8
25 Aug 2026, 23:2963,874-13
25 Aug 2026, 02:1763,887-2
23 Aug 2026, 16:4363,889+10
22 Aug 2026, 02:0663,879-16
20 Aug 2026, 22:3663,895first reading

Engagement

100 posts held, back to 30 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 123 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.7%
avg views ÷ 63,764 subscribers
Avg views / post
8,700
49 posts measured
Reaction rate
0.878%
reactions ÷ views · ER floor
Posts in window
49
of 100 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 27 September 2026
Posts held100 (30 July 2026 – 27 September 2026)
Views total426,530
Reactions total3,746
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 09:34 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
≈2,420
Videos
≈1,190
Links
≈1,510

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
12m 56s
Average length
28s

Measured directly from 28 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.

Reaction mix

7,187 reactions across 100 posts, in 6 distinct kinds. The most used accounts for 40.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2,87740.0%
👍2,40533.5%
❤76210.6%
😱5557.72%
🫡3254.52%
🤯2633.66%

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 100 of the 100 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 7,187 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 100 most recent posts we hold, published 30 July 2026 to 27 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
12
across the posts below
Posts paid on
9
of 100 we hold a reading for · 9%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @python2day. 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 100 most recent posts we hold for this entry, published 30 July 2026 to 27 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

27 Sept 2026, 07:39 UTC≈1,820 views30 reactionsread 27 September 2026
Photo

⚡️ Open-source AI-диктофон: записывает разговор, распознаёт участников и превращает часы аудио в базу знаний Speakr — self-hosted платформа для расшифровки и анализа аудиозаписей. Запускается на собственном сервере, а вместо обычного «аудио → текст» умеет превращать записи в структурированные и доступные для поиска заметки. Можно записать встречу, лекцию, созвон или интервью — дальше Speakr: 💬 автоматически расшиф…

👍16🔥11🫡2❤1

27 Sept 2026, 04:44 UTC≈3,020 views33 reactionsread 27 September 2026
Photo

🤨 Победил босса? А теперь посмотри рекламу. Microsoft 🪟 запатентовала систему, которая потенциально позволит вставлять рекламу прямо между игровыми событиями — после победы над боссом, завершения квеста, катсцены или раунда в мультиплеере. Идея завязана на временном доступе к игре: пользователь получает определённое количество игрового времени, а когда оно заканчивается — может посмотреть рекламу и получить дополни…

😱26🫡6❤1

24 Sept 2026, 06:55 UTC≈6,660 views83 reactionsread 27 September 2026
Video

😎 Когда узнал, что зарабатываешь больше айтишников

👍51🔥22❤10

23 Sept 2026, 12:07 UTC≈7,210 views47 reactionsread 27 September 2026
Photo

🎬 ИИ научили снимать рекламные ролики одной командой /brag — open-source инструмент, скилл для AI-кодинг-агентов, который берёт созданный вами проект и превращает его в короткое презентационное видео для соцсетей. Репозиторий уже собрал 7 000 звёзд на GitHub. ▶️ Работает максимально лениво: /brag Дальше агент сам определяет, как лучше показать проект, выбирает ключевые моменты, продумывает подачу и передаёт сцена…

👍27❤10🔥7😱3

23 Sept 2026, 04:17 UTC≈7,390 views134 reactionsread 27 September 2026
Video

😯 Наступил звездный час для инфоцыган Чувак наглядно показал разницу нейросетей против реального видео... С добрым утром! 🫡

🔥101🤯13🫡12😱7❤1

21 Sept 2026, 14:41 UTC≈8,220 views86 reactionsread 27 September 2026
Video

🤖 Будущее наступило старик В Сан-Франциско стартап REK устроил первый публичный поединок человека против гуманоидного робота. 🥊 Финал получился совсем не в пользу кожаного: робот отправил соперника в нокаут. Мужчина получил перелом руки и подозрение на сотрясение мозга.

😱53🔥20❤7👍6

21 Sept 2026, 12:11 UTC≈7,460 views49 reactionsread 27 September 2026
Photo

⚡️ Linecast — настоящая погодная станция, карта мира и планетарий прямо в терминале. Open-source проект берёт бесплатные публичные данные и превращает обычную консоль в набор из 7 интерактивных приложений — с графикой, анимациями и даже управлением мышкой. Никаких аккаунтов и API-ключей. Что умеет: 🌦 linecast weather — текущая погода, почасовой и 7-дневный прогноз, осадки, качество воздуха и официальные предупрежде…

👍34🔥10❤5

21 Sept 2026, 06:21 UTC≈7,100 views53 reactionsread 27 September 2026
Photo

⚡️ Нейронки бесплатно? Легко. Вышел полноценный аналог хайпового агента OpenCode, который не уступает оригиналу. Репозиторий уже просто разорвало — более 200 000 звёзд от пользователей. 🔣Этот агент может закрывать задачи, на которые раньше нужна была целая команда разработчиков: от простых лендингов до сервисов со сложной бизнес-логикой. 🔣Поддерживает все топовые нейросети и работает сразу с 75 провайдерами: OpenAI…

👍30🔥12❤7🤯2😱2

21 Sept 2026, 04:15 UTC≈7,450 views136 reactionsread 27 September 2026
Video

😂 Ужаснее Круче формы для ввода вы точно не видели С добрым утром! 😎

👍74🔥47❤6😱6🫡3

18 Sept 2026, 12:15 UTC≈9,820 views112 reactionsread 27 September 2026
Video

🍌 Обычная ситуация на рабочем созвоне Чувак в самый ответственный момент забыл отключить скрин 😂

👍63🔥28🫡11😱6❤4

18 Sept 2026, 06:27 UTC≈8,830 views46 reactionsread 27 September 2026
Photo

📈 Smart Money Concepts — open-source проект для алгоритмического трейдинга. Python научили находить на графике зоны, за которыми трейдеры обычно охотятся вручную. Умеет определять: 🟢блоки ордеров, 🟢зоны ликвидности, 🟢Fair Value Gaps, 🟢максимумы и минимумы колебаний, 🟢пробои структуры (BOS) и смену характера движения (CHoCH). 📊 Вместо бесконечного ручного рисования уровней можно заставить Python самостоятельно анал…

🔥28👍9😱5❤4

18 Sept 2026, 04:18 UTC≈9,380 views143 reactionsread 27 September 2026
Photo

😂 Талантливый дизайнер? С добрым утром, пятница! 🙂

🔥105👍24❤14

Showing the 12 most recent of 100 posts we hold for @python2day. 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.

Posts edited after publishing

@python2day edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
27 August 2026
Most recent edit
27 August 2026

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 4 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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PyLinux - Всё о Linux, Python и IT
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ВойтиВАйТи
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IT Архив
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Senior Python Developer
@seniorpy · 39,864
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Python и 1000 уязвимостей
@osint_pythons · 36,535
#8
GitHub программиста
@githubdevs · 4,774
#9
Чёрный Треугольник
@black_triangle_tg · 63,850
#10
IT Portal
@IT_Portal · 100,284
#11
Бэкдор
@whackdoor · 1,603,481
#12
GitHub Community
@github · 155,991
#13
Хауди Хо - IT юмор, жизнь программиста
@howdyho_official · 78,781
#14
Этичный Хакер
@hack_less · 233,911
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Pro Python • IT
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Python/ django
@pythonl · 58,866
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Zen of Python
@zen_of_python · 18,830
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Артём Шумейко
@artemshumeiko · 19,926
#21
Python Portal
@PythonPortal · 50,417
#22
python_practics
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CodeCamp
@codecamp · 181,043
#24
Диджитализируй!
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@data_secrets · 94,138
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Programmer & IT Memes
@itmemes · 123,290
#32
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@programmersGuide_1 · 5,739
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@python_academy · 44,284
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#45
IT Syndicate
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Python Expert | Программирование
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Рестарт
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Python Hacks
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@media1337 · 1,152,508
#64
SecurityLab.ru
@SecLabNews · 84,654
#65
Склад разработчика
@devs_store · 11,766
#66
Social Engineering
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#68
Эксплойт
@exploitex · 2,048,279
#69
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@open_source_friend · 52,304
#70
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#71
Python | LeetCode
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@naebnet · 2,178,705
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Kali Linux
@linuxkalii · 55,412
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Код.ру
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Mr. Robot
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Пекарня
@pekagame · 1,089,162
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Machinelearning
@ai_machinelearning_big_data · 279,417
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#86
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@django_school · 5,130
#87
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Read from Telegram’s recommendation API, most recently 21 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Python Learning
@Python_per_month · 28,238
Telegram ranks this channel #1 of 86 here — alongside 85 others — read 9 September 2026
Python и 1000 уязвимостей
@osint_pythons · 36,535
Telegram ranks this channel #1 of 84 here — alongside 83 others — read 1 September 2026
Senior Python Developer
@seniorpy · 39,864
Telegram ranks this channel #1 of 92 here — alongside 91 others — read 30 August 2026
Однажды в трендах
@trendo · 67,788
Telegram ranks this channel #1 of 90 here — alongside 89 others — read 20 August 2026
Python Developer
@python_tg · 20,963
Telegram ranks this channel #2 of 85 here — alongside 84 others — read 25 September 2026
Простой Python | Программирование
@python_piton_javascript · 126,249
Telegram ranks this channel #2 of 84 here — alongside 83 others — read 13 August 2026
Python Academy
@python_academy · 44,284
Telegram ranks this channel #3 of 87 here — alongside 86 others — read 28 August 2026
Поколение Python 🐍
@pygen_ru · 50,072
Telegram ranks this channel #3 of 93 here — alongside 92 others — read 25 August 2026
Python обучающий
@pythonist24 · 55,872
Telegram ranks this channel #4 of 88 here — alongside 87 others — read 23 August 2026
Pythonist.ru - образование по питону
@pythonist_ru · 24,046
Telegram ranks this channel #5 of 82 here — alongside 81 others — read 17 September 2026
Хауди Хо - IT юмор, жизнь программиста
@howdyho_official · 78,781
Telegram ranks this channel #6 of 90 here — alongside 89 others — read 18 August 2026
Python Job | Вакансии | Стажировки
@job_python · 23,025
Telegram ranks this channel #7 of 96 here — alongside 95 others — read 19 September 2026
Библиотека питониста | Python, Django, Flask
@pyproglib · 37,384
Telegram ranks this channel #7 of 84 here — alongside 83 others — read 1 September 2026
[404] — программирование
@procode404 · 40,506
Telegram ranks this channel #7 of 83 here — alongside 82 others — read 30 August 2026
LAMERLAND - overbafer1
@overlamer1 · 81,379
Telegram ranks this channel #7 of 85 here — alongside 84 others — read 18 August 2026
GitHub Community
@github · 155,991
Telegram ranks this channel #7 of 87 here — alongside 86 others — read 12 August 2026
Python/ django
@pythonl · 58,866
Telegram ranks this channel #9 of 84 here — alongside 83 others — read 22 August 2026
Python Portal
@PythonPortal · 50,417
Telegram ranks this channel #10 of 80 here — alongside 79 others — read 25 August 2026
Python Books. Книги по питону
@pythonbooks · 38,517
Telegram ranks this channel #11 of 65 here — alongside 64 others — read 17 September 2026
Диджитализируй!
@t0digital · 28,475
Telegram ranks this channel #11 of 88 here — alongside 87 others — read 9 September 2026
Python Hacks
@python_secrets · 40,594
Telegram ranks this channel #11 of 82 here — alongside 81 others — read 30 August 2026
Stepik – онлайн-курсы
@stepik_courses · 24,454
Telegram ranks this channel #12 of 93 here — alongside 92 others — read 16 September 2026
overbafer1
@overbafer1 · 63,515
Telegram ranks this channel #13 of 84 here — alongside 83 others — read 21 August 2026
IT Portal
@IT_Portal · 100,284
Telegram ranks this channel #13 of 78 here — alongside 77 others — read 15 August 2026

This channel appears in 68 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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:TODAY]” (@python2day), 63,764 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/python2day.

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.