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Channel

Python вопросы с собеседований

@python_job_interview

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Posts edited after publishing · Polls · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

24,881subscribers

+67 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 live25 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/python_job_interview

Topic

Education — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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

24,75424,88724,820.56 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 August 2026 — 24,818 subscribers25 August 2026 — 24,831 subscribers26 August 2026 — 24,827 subscribers27 August 2026 — 24,828 subscribers28 August 2026 — 24,827 subscribers29 August 2026 — 24,832 subscribers30 August 2026 — 24,839 subscribers31 August 2026 — 24,833 subscribers1 September 2026 — 24,857 subscribers2 September 2026 — 24,867 subscribers4 September 2026 — 24,870 subscribers6 September 2026 — 24,863 subscribers9 September 2026 — 24,859 subscribers11 September 2026 — 24,845 subscribers13 September 2026 — 24,856 subscribers15 September 2026 — 24,871 subscribers17 September 2026 — 24,887 subscribers25 September 2026 — 24,881 subscribers24,8816 August 202625 September 2026
35 measurements spanning 51 days, net +67. 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 24,734–24,907 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
25 Sept 2026, 17:4224,881-6
17 Sept 2026, 09:2024,887+16
15 Sept 2026, 06:4124,871+15
13 Sept 2026, 16:5624,856+11
11 Sept 2026, 21:5924,845-14
9 Sept 2026, 09:4024,859-4
6 Sept 2026, 03:4124,863-7
4 Sept 2026, 01:4124,870+3
2 Sept 2026, 16:4424,867+10
1 Sept 2026, 13:3324,857+24
31 Aug 2026, 14:5424,833-6
30 Aug 2026, 13:0424,839+7
29 Aug 2026, 13:5824,832+5
28 Aug 2026, 16:3324,827-1
27 Aug 2026, 13:1124,828+1
26 Aug 2026, 15:0424,827-4
25 Aug 2026, 11:4524,831+13
24 Aug 2026, 10:5824,818+32
22 Aug 2026, 19:1924,786+20
21 Aug 2026, 07:4324,766first reading

Engagement

53 posts held, back to 13 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 61 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.67%
avg views ÷ 24,881 subscribers
Avg views / post
1,660
19 posts measured
Reaction rate
0.507%
reactions ÷ views · ER floor
Posts in window
19
of 53 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 18 of 19 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 26 September 2026
Posts held53 (13 July 2026 – 26 September 2026)
Views total31,541
Reactions total150
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 11:29 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
735
Videos
98
Links
601

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. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
5m 32s
Average length
55s

Measured directly from 6 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

375 reactions across 48 posts, in 11 distinct kinds. The most used accounts for 34.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍13034.7%
❤10126.9%
🔥8622.9%
😁4110.9%
🤣82.13%
🥰30.8%
😱20.533%
🍌10.267%
🎉10.267%
💋10.267%
😐10.267%

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 49 of the 53 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 380 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 53 most recent posts we hold, published 13 July 2026 to 26 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.

Advertising

Ad load
3.77%
2 of 53 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
1,460
over 2 measured posts
Median views · rest
1,660
over 51 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
2VtzqxQfrUb11 September 20261 September 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 53 most recent posts we hold, published 13 July 2026 to 26 September 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

26 Sept 2026, 11:24 UTC671 views2 reactionsread 27 September 2026
Photo

Octop - open-source платформа, где можно запускать сразу несколько AI-агентов для себя, семьи или команды, при этом все данные остаются на вашей машине. Главное: - multi-user + multi-agent архитектура; - Web UI, CLI, Telegram, Feishu, DingTalk, QQ, WeCom; - собственная память для каждого workspace; - RAG по вашим документам; - browser automation через headless Chromium; - удалённый рабочий стол и управление GUI; - …

❤2

23 Sept 2026, 13:29 UTC≈1,060 views9 reactionsread 27 September 2026
Photo

Визуализация данных на Python: 10 лучших примеров с кодом Визуализация данных на Python - один из самых быстрых способов понять, что происходит в данных. Один удачный график заменяет десятки строк df.describe(): сразу видны тренды, выбросы, корреляции и аномалии. В этой статье собраны 10 лучших примеров визуализации данных на Python с готовым кодом на Matplotlib, Seaborn и Plotly. Все примеры используют открытые уч…

👍5❤2🔥2

22 Sept 2026, 11:23 UTC≈1,130 views12 reactionsread 27 September 2026
Photo

Как правильно получить случайное число в Python Если нужен диапазон от 1 до 100 включительно, используйте: import random x = random.randint(1, 100) Можно импортировать функцию напрямую: from random import randint x = randint(1, 100) Второй вариант просто короче, но не делает код «профессиональнее». int(random.random() * 100) возвращает числа от 0 до 99, поэтому пример на изображении даёт другой диапазон. …

👍9❤2😁1

19 Sept 2026, 10:06 UTC≈1,420 views10 reactionsread 27 September 2026
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👍6❤4

18 Sept 2026, 09:26 UTC≈1,160 views3 reactionsread 27 September 2026
Forwarded from @ai_machinelearning_big_dataVideo

✔️ QuiverAI выпустила обновление генератора векторной графики Во второе поколение семейства вошли две модели - Arrow 2 и флагманская Arrow 2 Telos. Обновление принесло скорость генерации, улучшенную геометрию и композицию. В готовом файле стало меньше опорных точек, меньше лишних узлов и перекрывающихся контуров, а отступы и выравнивание элементов держатся без дополнительных инструкций в промптах. 🟡Сценарии примен…

❤3

17 Sept 2026, 11:03 UTC≈1,280 views2 reactionsread 27 September 2026
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📚 Бесплатная книга по математике для Computer Science и Machine Learning - более 2200 страниц Жан Галлье и Джоселин Куэйнтанс собрали в одном учебнике алгебру, топологию, дифференциальное исчисление и теорию оптимизации. Материал для тех, кто хочет глубже разобраться в математической основе алгоритмов и машинного обучения. Книга на английском, полная рукопись доступна бесплатно в PDF. https://www.cis.upenn.edu/~je…

👍2

15 Sept 2026, 12:00 UTC≈1,500 views8 reactionsread 27 September 2026

🐍 Python: как найти изменённое поле во вложенном словаре Сравнение before == after покажет, равны ли объекты. DeepDiff покажет, где именно они отличаются, включая старое и новое значения. from deepdiff import DeepDiff before = {"user": {"name": "Egor", "level": 3}} after = {"user": {"name": "Egor", "level": 4}} print(DeepDiff(before, after)) Результат: { "values_changed": { "root['user']['level']…

👍8

15 Sept 2026, 09:47 UTC≈1,350 views4 reactionsread 27 September 2026
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❤2👍1🔥1

13 Sept 2026, 12:45 UTC≈1,480 views12 reactionsread 27 September 2026
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🐍 Python: type(x) == str или isinstance(x, str)? На первый взгляд разницы почти нет. Но она есть. ❌ type(x) == str проверяет только точное совпадение типа. ✅ isinstance(x, str) учитывает ещё и наследников str. Пример: class MyString(str): pass x = MyString("hello") print(type(x) == str) # False print(isinstance(x, str)) # True Поэтому в большинстве случаев лучше использовать: isinstance(x, str)…

👍8😱2❤1🔥1

13 Sept 2026, 10:43 UTC≈1,220 views7 reactionsread 27 September 2026
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❤3👍2🔥2

10 Sept 2026, 10:05 UTC≈1,500 views9 reactionsread 27 September 2026
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🐍 Как правильно использовать Lock в Python multiprocessing Если несколько процессов одновременно пишут в общий ресурс — файл, stdout, shared memory — вывод или данные могут перемешиваться. Для этого есть multiprocessing.Lock: from multiprocessing import Process, Lock def printer(item, lock): with lock: print(item) if __name__ == "__main__": lock = Lock() for item in ["tango", "foxtrot", 10]…

🔥5❤2👍2

9 Sept 2026, 15:14 UTC≈1,640 views8 reactionsread 27 September 2026
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🌦 Linecast — погода, карты, радар, приливы, Солнце и Луна прямо в терминале Open-source CLI превращает публичные данные в шесть интерактивных приложений: - linecast weather — погода, почасовой прогноз, AQI и предупреждения - linecast sunshine — восход, закат и длина дня - linecast moon — фазы Луны, восход/заход и календарь - linecast tides — график приливов и отливов - linecast radar — анимированный радар и спутник…

❤4🔥2👍1💋1

Showing the 12 most recent of 53 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.

Posts edited after publishing

@python_job_interview edited 1 post 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
23 August 2026
Most recent edit
23 August 2026

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 53 most recent posts we hold, published 13 July 2026 to 26 September 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.

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 42 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.

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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@easy_python_task · 9,095
#50
Библиотека задач по Data Science | тесты, код, задания
@ds_problems_lib · 3,988
#51
Rust
@rust_code · 8,870
#52
Data Secrets | Карьера
@data_secrets_career · 7,190
#53
IT Portal
@IT_Portal · 100,284
#54
Python — вакансии и стажировки
@pythonpythonjobs · 7,448
#55
React JS
@react_tg · 16,279
#56
Вакансии для Python-разработчиков / Python Jobs
@ru_pythonjobs · 9,994
#57
XOR
@xor_journal · 182,317
#58
Библиотека задач по Python | тесты, код, задания
@py_problems_lib · 6,386
#59
Pythonist.ru - образование по питону
@pythonist_ru · 24,046
#60
🏆 AIeron | Data Feeling
@datafeeling · 14,242
#61
About Python [ru]
@python_tesst · 6,480
#62
Хабр
@habr_com · 132,465
#63
Библиотека собеса по Python | вопросы с собеседований
@py_interview_lib · 5,912
#64
LEFT JOIN
@leftjoin · 42,064
#65
python_practics
@python_practics · 5,154
#66
Python Portal
@PythonPortal · 50,417
#67
Python jobs — вакансии по питону, Django, Flask
@pydevjob · 9,645
#68
Библиотека программиста
@devs_storage · 19,138
#69
Машинное обучение. Книги по программированию
@maschinelearning · 10,823
#70
Python Academy
@python_academy · 44,284
#71
Social Engineering
@Social_engineering · 125,008
#72
Kali Linux
@linuxkalii · 55,412
#73
эйай ньюз
@ai_newz · 96,889
#74
Английский для программистов
@english_forprogrammers · 8,268
#75
Сиолошная
@seeallochnaya · 79,594
#76
Data Science Jobs
@datasciencejobs · 22,137
#77
Data jobs — вакансии по data science, анализу данных, аналитике, искусственному интеллекту
@datajob · 14,830
#78
Время Валеры
@cryptovalerii · 30,808
#79
Physics.Math.Code
@physics_lib · 146,712
#80
ODS #jobs
@odsjobs · 14,059
#81
Техножрица 👩‍💻👩‍🏫👩‍🔧
@tech_priestess · 14,890
#82
Dev & ML Connectable Jobs
@dev_connectablejobs · 27,959
#83
Denis Sexy IT 🤖
@denissexy · 137,325
#84
CodeCamp
@codecamp · 181,043
#85
Поступашки - ШАД, Стажировки и Магистратура
@postypashki_old · 45,531
#86
Python Tasks & ML | Задачи по питону и машинному обучению
@python_tasks · 8,520
#87
New Yorko Times
@new_yorko_times · 10,554
#88
Kali Novskaya
@rybolos_channel · 19,011
#89
Ит Вакансии / Работа программиста
@hr_itwork · 11,053
#90

Read from Telegram’s recommendation API, most recently 15 September 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/ django
@pythonl · 58,866
Telegram ranks this channel #3 of 84 here — alongside 83 others — read 22 August 2026
Data Science. SQL hub
@sqlhub · 35,960
Telegram ranks this channel #8 of 87 here — alongside 86 others — read 2 September 2026
Анализ данных (Data analysis)
@data_analysis_ml · 50,656
Telegram ranks this channel #9 of 93 here — alongside 92 others — read 25 August 2026
DevOps
@DevOPSitsec · 23,684
Telegram ranks this channel #10 of 90 here — alongside 89 others — read 18 September 2026
Data Science
@datascienceiot · 42,634
Telegram ranks this channel #12 of 76 here — alongside 75 others — read 29 August 2026
Поколение Python 🐍
@pygen_ru · 50,072
Telegram ranks this channel #12 of 93 here — alongside 92 others — read 25 August 2026
Python Job | Вакансии | Стажировки
@job_python · 23,025
Telegram ranks this channel #15 of 96 here — alongside 95 others — read 19 September 2026
Pythonist.ru - образование по питону
@pythonist_ru · 24,046
Telegram ranks this channel #16 of 82 here — alongside 81 others — read 17 September 2026
Искусственный интеллект. Высокие технологии
@vistehno · 71,491
Telegram ranks this channel #16 of 94 here — alongside 93 others — read 20 August 2026
Senior Python Developer
@seniorpy · 39,864
Telegram ranks this channel #20 of 92 here — alongside 91 others — read 30 August 2026
Data Science Jobs
@datascienceml_jobs · 21,227
Telegram ranks this channel #21 of 97 here — alongside 96 others — read 24 September 2026
Простой Python | Программирование
@python_piton_javascript · 126,249
Telegram ranks this channel #21 of 84 here — alongside 83 others — read 13 August 2026
Machine learning Interview
@machinelearning_interview · 30,308
Telegram ranks this channel #23 of 98 here — alongside 97 others — read 7 September 2026
Python Learning
@Python_per_month · 28,238
Telegram ranks this channel #26 of 86 here — alongside 85 others — read 9 September 2026
Python и 1000 уязвимостей
@osint_pythons · 36,535
Telegram ranks this channel #26 of 84 here — alongside 83 others — read 1 September 2026
Python Developer
@python_tg · 20,963
Telegram ranks this channel #27 of 85 here — alongside 84 others — read 25 September 2026
Python Books. Книги по питону
@pythonbooks · 38,517
Telegram ranks this channel #31 of 65 here — alongside 64 others — read 17 September 2026
Python Academy
@python_academy · 44,284
Telegram ranks this channel #31 of 87 here — alongside 86 others — read 28 August 2026
Linux Academy
@linuxacademiya · 28,434
Telegram ranks this channel #34 of 84 here — alongside 83 others — read 9 September 2026
Библиотека питониста | Python, Django, Flask
@pyproglib · 37,384
Telegram ranks this channel #36 of 84 here — alongside 83 others — read 1 September 2026
Однажды в трендах
@trendo · 67,788
Telegram ranks this channel #37 of 90 here — alongside 89 others — read 20 August 2026
Golang
@Golang_google · 40,461
Telegram ranks this channel #42 of 90 here — alongside 89 others — read 30 August 2026
Machinelearning
@ai_machinelearning_big_data · 279,417
Telegram ranks this channel #42 of 95 here — alongside 94 others — read 10 August 2026
Python Hacks
@python_secrets · 40,594
Telegram ranks this channel #48 of 82 here — alongside 81 others — read 30 August 2026

This channel appears in 28 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 вопросы с собеседований” (@python_job_interview), 24,881 subscribers as measured 25 September 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.