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Python вопросы с собеседований

@python_job_interview

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

24,786subscribers

-28 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001635717658
TypeChannel
Username@python_job_interview
DescriptionВопросы с собеседований по Python @workakkk - админ @machinelearning_interview - вопросы с собесдований по Ml @pro_python_code - Python @data_analysis_ml - анализ данных на Python @itchannels_telegram - 🔥 главное в ит РКН: clck.ru/3FmrFd
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live22 August 2026
Measurements held17
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/python_job_interview

Growth

24,75424,81524,784.56 August 2026 — 24,814 subscribers6 August 2026 — 24,815 subscribers7 August 2026 — 24,807 subscribers7 August 2026 — 24,804 subscribers9 August 2026 — 24,797 subscribers10 August 2026 — 24,794 subscribers11 August 2026 — 24,783 subscribers12 August 2026 — 24,780 subscribers13 August 2026 — 24,776 subscribers14 August 2026 — 24,780 subscribers15 August 2026 — 24,777 subscribers17 August 2026 — 24,764 subscribers18 August 2026 — 24,760 subscribers19 August 2026 — 24,754 subscribers20 August 2026 — 24,759 subscribers21 August 2026 — 24,766 subscribers22 August 2026 — 24,786 subscribers24,7866 August 202622 August 2026
17 measurements spanning 17 days, net -28. 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 24,745–24,824 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 19:1924,786+20
21 Aug 2026, 07:4324,766+7
20 Aug 2026, 09:4824,759+5
19 Aug 2026, 12:4524,754-6
18 Aug 2026, 10:3624,760-4
17 Aug 2026, 11:0824,764-13
15 Aug 2026, 18:5824,777-3
14 Aug 2026, 07:0724,780+4
13 Aug 2026, 01:4324,776-4
12 Aug 2026, 00:5324,780-3
11 Aug 2026, 02:5324,783-11
10 Aug 2026, 00:4124,794-3
9 Aug 2026, 01:5124,797-7
7 Aug 2026, 23:1324,804-3
7 Aug 2026, 02:0524,807-8
6 Aug 2026, 04:0024,815+1
6 Aug 2026, 02:1824,814first reading

Engagement

30 posts held, back to 13 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 36 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.56%
avg views ÷ 24,786 subscribers
Avg views / post
1,380
23 posts measured
Reaction rate
0.452%
reactions ÷ views · ER floor
Posts in window
23
of 30 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 21 of 23 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 22 August 2026
Posts held30 (13 July 202622 August 2026)
Views total31,689
Reactions total135
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 19:49 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
716
Videos
95
Links
585

Lifetime counters from Telegram’s own channel header, read 22 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
3m 03s
Average length
1m 01s

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

182 reactions across 25 posts, in 7 distinct kinds. The most used accounts for 31.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5831.9%
🔥5429.7%
👍5228.6%
😁147.69%
🥰21.10%
🍌10.549%
😐10.549%

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 26 of the 30 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 187reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 30 most recent posts we hold, published 13 July 2026 to 22 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
3.33%
1 of 30 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
1,410
over 1 measured post
Median views · rest
1,600
over 29 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
2Vtzqv5TWBU14 August 20264 August 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 30 most recent posts we hold, published 13 July 2026 to 22 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

22 Aug 2026, 13:03 UTC432 viewsread 22 August 2026
Video

Блокчейн за минуту: почему один изменённый блок ломает всю цепь Каждый блок хранит данные, время и хэш предыдущего блока, поэтому цепь держится сама на себе. Меняешь один байт в первом блоке, его хэш становится другим, и все последующие блоки мгновенно превращаются в недействительные. Показываю механику на тридцати строках Python: класс Block, SHA-256 и три транзакции, где видно, как ломается связь. #blockchain #jo

22 Aug 2026, 10:57 UTC417 views1 reactionsread 22 August 2026
Photo

🔥 Хочешь быстрее расти в IT? Хватит учиться в одиночку Окружение решает больше, чем кажется. Собрал папки и каналы, где можно быстрее влиться в нужное направление, следить за трендами и не вариться в своём пузыре. AI: t.me/ai_machinelearning_big_data Python: t.me/pythonl Linux: t.me/linuxacademiya Хакинг: t.me/linuxkalii DevOps: t.me/DevOPSitsec Docker: https://t.me/+90Z5TAyfuNU5YmRi Golang: t.me/Golang_google Rus

🔥1

21 Aug 2026, 13:01 UTC770 views12 reactionsread 22 August 2026
Photo

Знаете ли вы, что в #Python можно делать перегрузку функций с помощью functools? Вот пример!

👍7🔥31🥰1

19 Aug 2026, 13:00 UTC≈1,090 views4 reactionsread 22 August 2026
Photo

⚡️ Harness Engineering - полный курс на русском Как заставить AI-агента писать код надёжно. Не «какую модель выбрать», а как спроектировать вокруг неё рабочую систему: инструкции, инструменты, среду, состояние и верификацию. Курс - от нуля до продвинутых тем: теоретическая база из 11 блоков, 14 модулей, 8 практических проектов, 14 лабораторных работ, диагностический протокол «как починить агента», библиотека готовы

1🍌1👍1🔥1

17 Aug 2026, 15:00 UTC≈1,350 views10 reactionsread 22 August 2026
Video

Python в 10 потоков работает медленнее, чем в один. Виноват GIL Запускаешь CPU-bound задачу в 10 потоков и получаешь результат медленнее, чем в один. В любой момент времени байткод исполняет только один поток: остальные стоят в очереди за GIL, а переключения между ними съедают весь выигрыш. Правило простое: для ожидания берёшь threads и async, для вычислений — multiprocessing.

5👍3🔥2

16 Aug 2026, 14:08 UTC≈1,470 views14 reactionsread 22 August 2026
Photo

Полный инженерный курс по AI-агентам на русском: от tool calling до production Курс инженерный, а не обзорный. Здесь почти нет рассуждений о том, «изменит ли ИИ мир», зато есть: минимальные работающие реализации каждого механизма, лабораторные с критериями приёмки, шаблоны для копирования, чек-листы перед релизом, каталог антипаттернов и набор бенчмарков, по которым можно честно сравнить две версии своего агента.

7👍5🔥2

13 Aug 2026, 16:03 UTC≈1,550 views7 reactionsread 22 August 2026
Photo

🔥 6 AI API, которые можно попробовать бесплатно - сохрани, пригодится Если нужен API для pet-project, прототипа, AI-агента или просто тестов, необязательно сразу подключать платный OpenAI API. Вот что доступно сейчас: * ⚡ Groq - бесплатный rate-limited tier и очень быстрый inference для Llama, GPT-OSS, Qwen и других моделей. console.groq.com/keys * 🤖 Google Gemini - Free Tier для Gemini API с бесплатными input/

🔥51👍1

13 Aug 2026, 14:05 UTC≈1,240 views4 reactionsread 22 August 2026
Photo

🔥 Python + AI без игрушечных демок. Курс для тех, кто хочет собирать рабочие системы. Stepik: «Python современный AI для разработчика и автоматизации задач» 63 урока, 382 шага, практика с кодом и автопроверкой. Внутри: RAG, tool calling, агенты, evals, MCP, Ollama, vLLM, pgvector + HNSW, безопасный text-to-SQL, prompt injection, кэш, очереди и sandbox для агентного кода. Плюс реальные автоматизации: почта, отчёты

2👍1🔥1

13 Aug 2026, 12:00 UTC≈1,210 views9 reactionsread 22 August 2026
Photo

🐍 Генераторные выражения в Python - один из самых простых способов экономить память. Обычный list comprehension сразу создаёт весь список: squares = [x ** 2 for x in range(1_000_000)] А generator expression вычисляет значения только по мере необходимости: squares = (x ** 2 for x in range(1_000_000)) То есть миллион элементов не хранится в памяти одновременно. Можно получать значения по одному: next(square

👍63

11 Aug 2026, 09:57 UTC≈1,320 views9 reactionsread 22 August 2026
Video

Главный секрет bool: он на самом деле int Складываю True и True, получаю 2 Складываешь два True в Python и получаешь 2. Не баг и не магия: bool наследуется от int, поэтому True это единица, а False это ноль. Минута, и ты больше никогда не удивишься sum по списку булевых значений. #python

3👍3🔥3

10 Aug 2026, 17:40 UTC≈1,420 views2 reactionsread 22 August 2026

⚡️ Как узнать количество CPU в Python одной строкой Для этого не нужны сторонние библиотеки — всё есть в стандартном multiprocessing: import multiprocessing print(multiprocessing.cpu_count()) Например: 8 Но есть важный нюанс: функция обычно возвращает количество логических процессоров, доступных системе, а не обязательно число физических ядер. То же самое можно получить через: import os print(os.cpu_cou

1👍1

8 Aug 2026, 12:44 UTC≈1,680 views10 reactionsread 22 August 2026

🚀 ИИ-агент ускорил SQLite до 59% меньше чем за 8 часов Ускорить SQLite хотя бы на 5% уже было бы серьёзным результатом. Это один из самых зрелых и оптимизированных проектов в мире — его команда почти 20 лет выжимает из кода каждую долю производительности. Но AI-агент KISS Sorcar менее чем за 8 часов и с затратами меньше $150 добился заметного ускорения сразу в нескольких типах нагрузки. Результаты: - 2,06× быстре

👍73

Showing the 12 most recent of 30 posts we hold for @python_job_interview. 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 poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

22 Jul 2026, 10:25 UTCAnonymous Quiz444 voters

Каким будет вывод этого кода?

  1. ['AB', 'CD']13%
  2. ['ab', 'cd', 'AB', 'CD']60%
  3. ['ab', 'cd']3%
  4. Нет правильного варианта17%
  5. Посмотреть ответ7%

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 30 most recent posts we hold, published 13 July 2026 to 22 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.

Citation-graph rank

Citation-graph rank — 56,129 of 1,584,142entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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 35 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

Python/ django
@pythonl · 58,935
Telegram ranks this channel #3 of 84 here — alongside 83 others — read 22 August 2026
Искусственный интеллект. Высокие технологии
@vistehno · 72,222
Telegram ranks this channel #16 of 94 here — alongside 93 others — read 20 August 2026
Простой Python | Программирование
@python_piton_javascript · 128,051
Telegram ranks this channel #21 of 84 here — alongside 83 others — read 13 August 2026
Однажды в трендах
@trendo · 68,975
Telegram ranks this channel #37 of 90 here — alongside 89 others — read 20 August 2026
Machinelearning
@ai_machinelearning_big_data · 284,523
Telegram ranks this channel #42 of 95 here — alongside 94 others — read 10 August 2026
[PYTHON:TODAY]
@python2day · 63,879
Telegram ranks this channel #51 of 91 here — alongside 90 others — read 21 August 2026

This channel appears in 6 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 22 August 2026 — this entry's latest reading, not the date you are reading this.

“Python вопросы с собеседований” (@python_job_interview), 24,786 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/python_job_interview.

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.