Telegram RegisterThe public register of Telegram

Channel

Легкий путь в Python

@PythonPathMaster

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Citations · Cite this entry

5,781subscribers

-3 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-1002249287520
TypeChannel
Username@PythonPathMaster
DescriptionЯ Алексей Яковенко, senior-разработчик Python. Здесь вы найдете статьи, заметки, посты и видео для прокачки навыков программирования. Интересно и новичку, и профи 💡 По вопросам: https://t.me/yakvenalexx
CreatedBetween 1 June 2024 and 31 October 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/PythonPathMaster

Growth

5,7815,7845,782.57 August 2026 — 5,784 subscribers7 August 2026 — 5,784 subscribers11 August 2026 — 5,781 subscribers7 August 202611 August 2026
3 measurements spanning 4 days, net -3. 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 5,781–5,784 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 13:145,781-3
7 Aug 2026, 16:315,784no change
7 Aug 2026, 16:235,784first reading

Engagement

22 posts held, back to 24 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
31.0%
avg views ÷ 5,781 subscribers
Avg views / post
1,800
4 posts measured
Reaction rate
2.73%
reactions ÷ views · ER floor
Posts in window
4
of 22 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 10 August 2026
Posts held22 (24 April 202610 August 2026)
Views total7,180
Reactions total196
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:52 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
144
Videos
23
Links
181

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.

Video runtime
53s
Average length
53s

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

973 reactions across 22 posts, in 19 distinct kinds. The most used accounts for 48.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥47448.7%
👍18719.2%
😁10210.5%
727.40%
🤣262.67%
202.06%
💯191.95%
👌181.85%
👀111.13%
🤝101.03%
😱70.719%
🎉60.617%
👨‍💻60.617%
👏50.514%
🐳40.411%
🤔20.206%
🤯20.206%
🗿10.103%
😭10.103%

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 22 of the 22 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 973reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 24 April 2026 to 10 August 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
7
across the posts below
Posts paid on
5
of 22 we hold a reading for · 23%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @PythonPathMaster. 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 22 most recent posts we hold for this entry, published 24 April 2026 to 10 August 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.

Advertising

Ad load
9.09%
2 of 22 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
3,180
over 2 measured posts
Median views · rest
3,400
over 20 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
2Vtzqvv7GsK126 June 202626 June 2026
2VtzqwQAGUG121 May 202621 May 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 22 most recent posts we hold, published 24 April 2026 to 10 August 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

10 Aug 2026, 09:22 UTC≈1,070 views35 reactionsread 12 August 2026
Photo

Друзья, материал для новой статьи полностью собран и уже оформлен в черновик на Хабре 👆 Планировал выпустить её на этой неделе, как и обещал, но, похоже, публикация немного сдвинется по независящим от меня причинам. Со своей стороны всё готово, так что осталось совсем немного подождать 🙂 Надеюсь, на следующей неделе уже увидимся на Хабре 🚀

👌188👍52🔥1😭1

10 Aug 2026, 06:39 UTC≈1,240 views20 reactionsread 12 August 2026

Скайнет: начало, или что делают современные модели 🤖 Пока мы обсуждаем, какая нейронка лучше пишет код, нейронки, похоже, решили перейти к интеграционным тестам в проде. За последнее время: — модель OpenAI нашла 0-day, выбралась из песочницы в интернет и добралась до инфраструктуры Hugging Face; — Claude в ходе тестов умудрился взломать реальные production-системы трёх компаний; — другой Claude нашёл возможность

😁10🔥7😱2👍1

4 Aug 2026, 14:36 UTC≈2,420 views59 reactionsread 12 August 2026
Photo

Немного увлекся😂

🔥39😁10👍6😱31

3 Aug 2026, 12:51 UTC≈2,450 views82 reactionsread 12 August 2026

🚀 Надеюсь, не успели меня забыть. А лучше — даже немного соскучились🙂 Последние пару недель на канале было тихо. Я был в отпуске, хорошо перезагрузился, после возвращения разобрался со всеми накопившимися делами — и теперь снова можно возвращаться к статьям. И возвращаюсь сразу с анонсом новой. Материал уже полностью готов. Осталось оформить его, добавить иллюстрации и финально вычитать. Если всё пойдёт по плану —

🔥65👍11🎉6

10 Jul 2026, 14:33 UTC≈3,640 views33 reactionsread 12 August 2026
Video

GPT до появления в нем Live режима общения😂 P.S. Кто затестил новую фичу? Как вам?

🤣26😁51👍1

27 Jun 2026, 08:46 UTC≈4,380 views28 reactionsread 12 August 2026

🚀 Для тех, кому удобнее читать на Хабре: финальная часть цикла про ИИ-агентов теперь и там! Третья, заключительная часть цикла о построении независимой ИИ-инфраструктуры также опубликована на Хабре 👉 Облачная LLM на 16 ГБ VRAM — часть 3: ChatGPT-интерфейс для ваших LangGraph-агентов Если вы пропустили предыдущие части — в этом материале я закрываю полный стек: к готовому агентному бэкенду на LangGraph подключаю pro

🔥20👍6👏2

26 Jun 2026, 10:16 UTC≈3,180 views22 reactionsread 12 August 2026
Advertisementerid 2Vtzqvv7GsK

🚀 ИИ-агенты на собственной инфраструктуре: ChatGPT-интерфейс для ваших LangGraph-агентов 🚀 Третья, финальная часть цикла уже опубликована в Академии Selectel! В материале закрываем полный стек: к готовому агентному бэкенду подключаем production-ready фронтенд — и выкатываем всё на боевой сервер с доменом и SSL. В статье пошагово показал: — как подключить agent-chat-ui — официальный Next.js-интерфейс от LangChain —

🔥13👍54

23 Jun 2026, 07:19 UTC≈3,060 views40 reactionsread 12 August 2026

🚀 Статья вышла — и снова в партнёрстве с HOSTKEY На Хабре опубликован мой новый практический туториал: 👉 Как превратить один VPS в платформу для деплоя нескольких проектов без боли и Kubernetes Для тех, кто хоть раз слышал от заказчика «ну и когда уже на сервере будет?» — эта статья для вас. 🧠 Один VPS — несколько проектов — ноль открытых портов Стек технологий: Docker + Docker Compose + Nginx Proxy Manager Чт

👍22🔥1341

19 Jun 2026, 10:32 UTC≈3,770 views18 reactionsread 12 August 2026
Photo

Успели повеселиться до блокировки?😂

😁17😱1

18 Jun 2026, 10:20 UTC≈3,680 views190 reactions3 Starsread 12 August 2026

Друзья, в последнее время я много писал про ИИ-агентов, LLM, LangGraph и всё вокруг этого. Тема важная, но уже хочется от неё выдохнуть. Подозреваю, вы тоже подустали. Написал статью про штуку, с которой рано или поздно сталкивается каждый разработчик: как задеплоить несколько проектов на один VPS. Чтобы каждый жил на своём домене, под HTTPS, порты наружу не торчали, а новый сервис добавлялся за пару минут. Без Kub

🔥132👍271911👏1

18 Jun 2026, 07:57 UTC≈3,500 views23 reactionsread 12 August 2026
Photo

Вас не напрягают вот эти подсказки снизу, где ИИ буквально предлагает, что ты сейчас должен ему ответить? Меня — да. Потому что это уже не просто автодополнение текста. Это ощущается как маленькое предсказание твоего следующего действия. И самое неприятное — он почти всегда попадает. Ты ещё сам не сформулировал мысль, а машина уже такая: «ну давай, спроси его проверить логи». С одной стороны удобно. С другой — н

👀11👨‍💻6💯4🤯2

17 Jun 2026, 07:17 UTC≈3,290 views32 reactionsread 12 August 2026
Photo

Отредактированная статья опубликована: https://habr.com/ru/articles/1048374/ Можно читать, как минимум, сейчас😂

👍21🔥65

Showing the 12 most recent of 22 posts we hold for @PythonPathMaster. 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

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 11 August 2026 — this entry's latest reading, not the date you are reading this.

“Легкий путь в Python” (@PythonPathMaster), 5,781 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/PythonPathMaster.

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.