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Channel

python_practics

@python_practics

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

5,184subscribers

-12 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-1001987659843
TypeChannel
Username@python_practics
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/python_practics

Growth

5,1845,1965,1907 August 2026 — 5,196 subscribers7 August 2026 — 5,196 subscribers10 August 2026 — 5,194 subscribers14 August 2026 — 5,187 subscribers17 August 2026 — 5,184 subscribers7 August 202617 August 2026
5 measurements spanning 10 days, net -12. 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 5,182–5,198 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 15:245,184-3
14 Aug 2026, 08:155,187-7
10 Aug 2026, 15:135,194-2
7 Aug 2026, 12:265,196no change
7 Aug 2026, 10:175,196first reading

Engagement

16 posts held, back to 13 October 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 9 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.65%
avg views ÷ 5,184 subscribers
Avg views / post
293
1 post measured
Reaction rate
0.341%
reactions ÷ views · ER floor
Posts in window
1
of 16 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 held16 (13 October 202510 August 2026)
Views total293
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 06:00 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
20s
Average length
10s

Measured directly from 2 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

59 reactions across 12 posts, in 4 distinct kinds. The most used accounts for 55.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3355.9%
2033.9%
👎46.78%
🔥23.39%

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 13 of the 16 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 59reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 13 October 2025 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.

Advertising

Ad load
6.25%
1 of 16 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
1,100
over 1 measured post
Median views · rest
1,680
over 15 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
2VtzqwyEytb110 November 202510 November 2025

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 16 most recent posts we hold, published 13 October 2025 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, 07:09 UTC293 views1 reactionsread 12 August 2026
Photo

АЙТИШНИКИ БЕСПЛАТНОЕ ОБУЧЕНИЕ Проект «TERMINAL» стал крупнейшей библиотекой бесплатного образования. В одном канале собраны курсы, книги, полезные инструменты и практические тренажёры для всех разработчиков: • Практические курсы и задания • Книги и статьи известных авторов • Полезные инструменты и ресурсы • IT-новости и инсайды Обучение по всем направлениям: SQL, Python, ML, Frontend, PHP, C++, Go, Git, Linux, QA,

1

27 Jan 2026, 10:00 UTC≈3,550 viewsread 12 August 2026
Poll

В чем польза модуля pickle для работы с данными в Python?

  1. Обеспечивает сжатие данных для экономии места на диске.27%
  2. Сохраняет полную структуру и состояние объектов Python между запусками программы.36%
  3. Предоставляет шифрование данных для безопасности.9%
  4. Конвертирует данные в человекочитаемый JSON-формат.28%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

27 Jan 2026, 10:00 UTC≈2,790 views2 reactionsread 12 August 2026
Photo

Польза модуля pickle В чем польза модуля pickle для работы с данными в Python? Посмотреть ответ. @python_practics

👍2

9 Jan 2026, 10:31 UTC≈2,480 views1 reactionsread 12 August 2026
Photo

Pendulum Если стандартный модуль datetime кажется громоздким и неудобным, библиотека Pendulum предлагает более элегантное и мощное решение. Она упрощает работу с датами, временем и часовыми поясами, делая код чище и понятнее. Основные преимущества Pendulum: 1. Интуитивный синтаксис. Создание, парсинг и форматирование дат выполняются просто и логично — без лишнего кода и сложных конструкций. 2. Удобная работа с часо

1

8 Jan 2026, 18:00 UTC≈1,680 views0 reactionsread 12 August 2026
Photo

Айти “умирает”, вакансий нет, все говорят про кризис? В канале “Frontend менторинг | Косилов” разбираю, что реально происходит на рынке и как всё-таки находить офферы. Там: честные зарплатные вилки, разборы резюме и портфолио, стратегии поиска работы и роста в кризис, без инфоцыганства и розовых обещаний. Я действующий фронтенд-разработчик и ментор, показываю, как адаптироваться к рынку, а не ждать “когда всё налад

5 Dec 2025, 10:30 UTC≈2,170 views11 reactionsread 12 August 2026
Video

Восстание машин уже близко. Скоро тоже будут искать вторую работу и жаловаться на вайб-кодеров. @python_practics | #мемчики

8🔥2👍1

4 Dec 2025, 09:19 UTC≈1,890 views3 reactionsread 12 August 2026
Photo

Быстрая проверка наличия подстроки в Python 👍 - если было полезно @python_practics | #полезные_сниппеты

👍3

13 Nov 2025, 10:47 UTC≈2,190 views7 reactionsread 12 August 2026
Photo

Динамическая типизация с typing.Protocol в Python typing.Protocol из модуля typing позволяет задавать интерфейсы для классов без явного наследования, обеспечивая поддержку структурной типизации. Это особенно полезно для проверки совместимости объектов на основе их методов, а не явного наследования, что делает код более гибким. from typing import Protocol class Flyable(Protocol): def fly(self) -> None:

👍52

12 Nov 2025, 10:00 UTC≈1,730 viewsread 12 August 2026
Photo

👨👨👨👨👨👨👨👨👨👨 Каналы с Junior IT вакансиями и стажировками Подписывайся и забирай свой оффер 🤘 1. Стажировки и вакансии по России и миру 2. IT вакансии по СНГ 3. IT стажировки по СНГ 4. ИИ-ассистент для автооткликов 5. IT стажировки и волонтерства 6. IT стажировки в топовых компаниях мира 7. Удалённые IT вакансии и стажировки 8. Python вакансии и стажировки 9. БИГТЕХ вакансии и стажировки 10. Design вакансии и стажир

11 Nov 2025, 10:36 UTC≈1,610 views7 reactionsread 12 August 2026
Poll

Какой из вариантов кода правильно отфильтрует список words, чтобы остались только слова длиной больше 3-х символов?

  1. filtered_words = filter(len(w) > 3 for w in words).22%
  2. filtered_words = list(filter(lambda w: len(w) > 3, words)).24%
  3. filtered_words = list(map(lambda w: len(w) > 3, words)).11%
  4. filtered_words = [w for w in words if len(w) > 3].43%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

👎4👍3

11 Nov 2025, 10:36 UTC≈1,470 viewsread 12 August 2026
Photo

Фильтрация списков Какой из вариантов кода правильно отфильтрует список: words = ['python', 'cat', 'java', 'dog', 'go'], чтобы оставить только слова длиной больше 3 символов? Посмотреть ответ. @python_practics

10 Nov 2025, 13:03 UTC≈1,100 views2 reactionsread 12 August 2026
Advertisementerid 2VtzqwyEytbPhoto

🔍Тестовое собеседование на Middle Python с Senior из X5 уже завтра! Уже завтра(11 ноября) в 19:00 по мск приходи онлайн на открытое собеседование, чтобы посмотреть на настоящее интервью на Middle Python-разработчика. Как это будет: 📂 Олег, старший разработчик в X5, будет задавать реальные вопросы и задачи разработчику-добровольцу 📂 Олег будет комментировать каждый ответ респондента, чтобы дать понять чего от вас ож

2

Showing the 12 most recent of 16 posts we hold for @python_practics. 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 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

27 Jan 2026, 10:00 UTCAnonymous Quiz134 voters

В чем польза модуля pickle для работы с данными в Python?

  1. Обеспечивает сжатие данных для экономии места на диске.27%
  2. Сохраняет полную структуру и состояние объектов Python между запусками программы.36%
  3. Предоставляет шифрование данных для безопасности.9%
  4. Конвертирует данные в человекочитаемый JSON-формат.28%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

11 Nov 2025, 10:36 UTCAnonymous Quiz146 voters

Какой из вариантов кода правильно отфильтрует список words, чтобы остались только слова длиной больше 3-х символов?

  1. filtered_words = filter(len(w) > 3 for w in words).22%
  2. filtered_words = list(filter(lambda w: len(w) > 3, words)).24%
  3. filtered_words = list(map(lambda w: len(w) > 3, words)).11%
  4. filtered_words = [w for w in words if len(w) > 3].43%

Shares as published. 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 16 most recent posts we hold, published 13 October 2025 to 10 August 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.

Mentions

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 · 128,224
Telegram ranks this channel #10 of 84 here — alongside 83 others — read 13 August 2026
IT Portal
@IT_Portal · 101,379
Telegram ranks this channel #53 of 78 here — alongside 77 others — read 15 August 2026

This channel appears in 2 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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“python_practics” (@python_practics), 5,184 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/python_practics.

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.