Telegram RegisterThe public register of Telegram
Telegram profile photo for Разъяснивший Python

Channel

Разъяснивший Python

@python_pssss

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

6,885subscribers

-186 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001681491201
TypeChannel
Username@python_pssss
DescriptionТвой проводник в омут Python'а Ссылка: @Portal_v_IT Сотрудничество: @oleginc
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/python_pssss

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 42% 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 the other topics.

Growth

6,8857,0716,9787 August 2026 — 7,071 subscribers8 August 2026 — 7,068 subscribers11 August 2026 — 7,058 subscribers14 August 2026 — 7,045 subscribers18 August 2026 — 7,036 subscribers20 August 2026 — 7,024 subscribers24 August 2026 — 7,018 subscribers27 August 2026 — 7,017 subscribers30 August 2026 — 7,007 subscribers3 September 2026 — 6,999 subscribers8 September 2026 — 6,988 subscribers12 September 2026 — 6,979 subscribers16 September 2026 — 6,974 subscribers24 September 2026 — 6,968 subscribers4 October 2026 — 6,965 subscribers11 October 2026 — 6,949 subscribers14 October 2026 — 6,944 subscribers17 October 2026 — 6,942 subscribers19 October 2026 — 6,939 subscribers22 October 2026 — 6,933 subscribers25 October 2026 — 6,921 subscribers28 October 2026 — 6,908 subscribers31 October 2026 — 6,898 subscribers3 November 2026 — 6,896 subscribers6 November 2026 — 6,891 subscribers10 November 2026 — 6,885 subscribers7 August 202610 November 2026
26 measurements spanning 95 days, net -186. 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 6,857–7,099 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
10 Nov 2026, 02:176,885-6
6 Nov 2026, 08:286,891-5
3 Nov 2026, 00:366,896-2
31 Oct 2026, 07:066,898-10
28 Oct 2026, 08:546,908-13
25 Oct 2026, 16:156,921-12
22 Oct 2026, 16:066,933-6
19 Oct 2026, 18:066,939-3
17 Oct 2026, 00:096,942-2
14 Oct 2026, 10:466,944-5
11 Oct 2026, 03:026,949-16
4 Oct 2026, 15:596,965-3
24 Sept 2026, 21:556,968-6
16 Sept 2026, 09:186,974-5
12 Sept 2026, 13:216,979-9
8 Sept 2026, 13:176,988-11
3 Sept 2026, 09:136,999-8
30 Aug 2026, 23:257,007-10
27 Aug 2026, 13:257,017-1
24 Aug 2026, 12:387,018first reading

Engagement

86 posts held, back to 28 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 23 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.76%
avg views ÷ 6,885 subscribers
Avg views / post
190
39 posts measured
Reaction rate
0.228%
reactions ÷ views · ER floor
Posts in window
39
of 86 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. It is computed over the 2 of 39 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 November 2026
Posts held86 (28 July 2026 – 10 November 2026)
Views total7,400
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 16:49 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
≈3,340
Videos
≈49
Links
≈3,400

Lifetime counters from Telegram’s own channel header, read 10 November 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
46s
Average length
15s

Measured directly from 3 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

4 reactions across 4 posts, in 4 distinct kinds. The most used accounts for 25.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤125.0%
🔥125.0%
🗿125.0%
🤔125.0%

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 86 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 86 most recent posts we hold, published 28 July 2026 to 10 November 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.

Advertising

Ad load
1.16%
1 of 86 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
216
over 1 measured post
Median views · rest
206
over 85 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2Vtzquh6s1Q13 November 20263 November 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 86 most recent posts we hold, published 28 July 2026 to 10 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 39 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

10 Nov 2026, 16:16 UTC35 viewsread 10 November 2026
Photo

🔖 Шпаргалка по Python Одностраничный справочный лист для языка программирования на Python. 🧷 Смотреть шпаргалку #Шпаргалка Скачать видео ~ IT ~ Чат 🐍 Разъяснивший Python

10 Nov 2026, 14:24 UTC73 viewsread 10 November 2026
Photo

Муха освоила нейросети и умеет трейдить, играть в гта, делать ставки, а ты пользуешься только ChatGPT?? Забирай доступ к 300 халявным нейросетям ⬇️ 😀 Думают 🤖 Умничают 🤖 Кодят 🖥 Рисуют 📹 Снимают ☀️ Монтируют ☄️ Ищут 🌫 Копают 🌕 Играют 👩‍💻 3D-шат 🖼️ Фотошопят ⭐️ Улучшают 🪹 Оживляют 🎵 Поют 🎧 Музычат 🔈 Озвучивают 🌐 Говорят 🤩 Чистят 🤖 Агентят ☃️ Автоматят 🍄‍🟫 Собирают 🌴 Сайты 🦤 Приложухи 🪺 Презы 🪷 Пишут 🦏 Рекламят 🐈 Про…

10 Nov 2026, 11:16 UTC105 viewsread 10 November 2026
Photo

Pydantic Pydantic — это библиотека Python для проверки и обработки данных. Она позволяет вам определять модели данных с помощью простых классов Python, а затем автоматически генерирует код для проверки и преобразования данных в соответствии с этими моделями. Скачать видео ~ IT ~ Чат 🐍 Разъяснивший Python

9 Nov 2026, 16:16 UTC155 viewsread 10 November 2026
Photo

Многопоточность и асинхронность в программировании | Python Threading и Multiprocessing • Хотите ускорить работу своего кода в несколько раз? Если да, то вы пришли по адресу! В данном ролике, мы разберёмся, как можно использовать весь потенциал вашего процессора для выполнения программы. • Узнаем как это реализуется на практике, и напишем небольшой код с использованием асинхронной библиотеки Python Threading, и мно…

9 Nov 2026, 11:16 UTC165 viewsread 10 November 2026
Photo

Six Библиотека Six — это мощная библиотека, которая предназначена для сглаживания различий между двумя версиями Python: 2 и 3. Она предоставляет утилиты для обеспечения совместимости кода, который работает на обеих версиях Python без изменений. Six состоит всего из одного файла Python, поэтому его легко скопировать в проект. В этом примере функция dispatch_types использует константы типов из библиотеки Six для пров…

8 Nov 2026, 16:16 UTC168 viewsread 10 November 2026
Photo

🧩 5 движков для создания игр в Python • Многие хотят изучить программирование, чтобы создать свою игру. Но что для этого нужно, когда учишься работать с Python? Правильно – движки. Они чаще всего представляют собой библиотеки. • Их можно устанавливать из разных каналов, например, с площадки распространения кода или менеджера pip. Кроме них, имеются и автономные среды для реализации игр. Давайте разберем ТОП-5 движк…

8 Nov 2026, 11:11 UTC164 viewsread 10 November 2026
Photo

Библиотека Manim Библиотека Manim (Mathematical Animation Engine) предоставляет инструменты для создания анимаций математических концепций с использованием Python. Эта библиотека широко используется в образовательных целях и в сообществе, занимающемся созданием математических контентов. Manim была изначально разработана Grant'ом Sanderson'ом, создателем 3Blue1Brown, для создания анимаций для его образовательных виде…

7 Nov 2026, 16:13 UTC160 viewsread 10 November 2026
Photo

📌 Функция id() в Python, идентификатор объекта. • Функция id() возвращает уникальный идентификатор для указанного объекта. • Все объекты в Python имеют свой уникальный идентификатор. Идентификатор присваивается объекту при его создании. Идентификатор является адресом памяти объекта и будет отличаться при каждом запуске программы. • Следует иметь в виду, что некоторые объекты могут иметь один и тот же идентификатор…

7 Nov 2026, 11:23 UTC151 viewsread 10 November 2026
Photo

Функция zip() Функция zip() используется для объединения элементов из двух или более итерируемых объектов в кортежи. Эти кортежи могут затем быть использованы, например, для создания словарей или других структур данных. Функция zip() создает итератор, который генерирует кортежи из элементов, взятых по одному из каждого переданного ей итерируемого объекта. Важно отметить, что если переданные итерируемые объекты имею…

7 Nov 2026, 10:38 UTC148 viewsread 10 November 2026

Saverbot — скачивай видео и аудио из любых соц.сетей Без рекламы, подписок и прочего.

6 Nov 2026, 16:13 UTC167 viewsread 10 November 2026
Photo

📌 Класс memoryview() в Python, ссылка на буфер обмена. • Класс memoryview() возвращает ссылку на буфер обмена памяти, в которой находится переданный в качестве аргумента объект. Объект obj должен поддерживать протокол буфера обмена. • memoryview() обеспечивает прямой доступ для чтения и записи к байтово-ориентированным данным объекта без необходимости их предварительного копирования. Это приводит к значительному ув…

6 Nov 2026, 14:49 UTC150 viewsread 10 November 2026
Photo

Подписки на нейронки без переплат на ggsel На сайте собраны все нужные ИИ-модели для работы и учебы 👨‍💻 Иностранные карты не потребуются — оплатить подписку безопасно можно картой российского банка А еще до 20 ноября в канале ggsel: AI, tech, digital проходит розыгрыш набора LEGO и подписки тг премиум на год

Showing the 12 most recent of 86 posts we hold for @python_pssss. 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.

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.

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.

Простой Python | Программирование
@python_piton_javascript · 123,691
Telegram ranks this channel #18 of 84 here — alongside 83 others — read 13 August 2026
Senior Python Developer
@seniorpy · 39,134
Telegram ranks this channel #19 of 92 here — alongside 91 others — read 30 August 2026
Python Learning
@Python_per_month · 27,879
Telegram ranks this channel #22 of 86 here — alongside 85 others — read 9 September 2026
Однажды в трендах
@trendo · 66,478
Telegram ranks this channel #30 of 90 here — alongside 89 others — read 20 August 2026
Python обучающий
@pythonist24 · 55,221
Telegram ranks this channel #31 of 88 here — alongside 87 others — read 23 August 2026
Python и 1000 уязвимостей
@osint_pythons · 36,463
Telegram ranks this channel #34 of 84 here — alongside 83 others — read 1 September 2026
Python Hacks
@python_secrets · 40,332
Telegram ranks this channel #44 of 82 here — alongside 81 others — read 30 August 2026
Бэкспейс & Нейролента
@neirosety · 31
Telegram ranks this channel #74 of 87 here — alongside 86 others — read 7 September 2026

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

“Разъяснивший Python” (@python_pssss), 6,885 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/python_pssss.

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.