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Channel

Python Portal

@PythonPortal

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

50,417subscribers

-877 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001219878246
TypeChannel
Username@PythonPortal
DescriptionВсё самое интересное из мира Python Сотрудничество, реклама: @devmangx Работаем с @Spiral_Yuri РКН: https://clck.ru/3GMMF6
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live26 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/PythonPortal

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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

50,41751,29850,857.57 August 2026 — 51,294 subscribers7 August 2026 — 51,298 subscribers8 August 2026 — 51,288 subscribers9 August 2026 — 51,252 subscribers10 August 2026 — 51,234 subscribers11 August 2026 — 51,223 subscribers13 August 2026 — 51,204 subscribers14 August 2026 — 51,192 subscribers16 August 2026 — 51,179 subscribers17 August 2026 — 51,175 subscribers18 August 2026 — 51,156 subscribers19 August 2026 — 51,154 subscribers20 August 2026 — 51,135 subscribers21 August 2026 — 51,126 subscribers23 August 2026 — 51,094 subscribers24 August 2026 — 51,071 subscribers25 August 2026 — 51,044 subscribers26 August 2026 — 51,022 subscribers27 August 2026 — 51,003 subscribers28 August 2026 — 50,988 subscribers29 August 2026 — 50,961 subscribers30 August 2026 — 50,940 subscribers31 August 2026 — 50,905 subscribers2 September 2026 — 50,869 subscribers3 September 2026 — 50,824 subscribers5 September 2026 — 50,774 subscribers8 September 2026 — 50,690 subscribers11 September 2026 — 50,639 subscribers13 September 2026 — 50,600 subscribers14 September 2026 — 50,564 subscribers16 September 2026 — 50,529 subscribers19 September 2026 — 50,506 subscribers26 September 2026 — 50,417 subscribers7 August 202626 September 2026
33 measurements spanning 50 days, net -877. 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 50,285–51,430 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
26 Sept 2026, 06:0150,417-89
19 Sept 2026, 06:5850,506-23
16 Sept 2026, 20:0150,529-35
14 Sept 2026, 20:3950,564-36
13 Sept 2026, 05:3650,600-39
11 Sept 2026, 11:1750,639-51
8 Sept 2026, 14:1950,690-84
5 Sept 2026, 07:1750,774-50
3 Sept 2026, 09:1850,824-45
2 Sept 2026, 00:2950,869-36
31 Aug 2026, 22:1650,905-35
30 Aug 2026, 22:2850,940-21
29 Aug 2026, 19:3550,961-27
28 Aug 2026, 22:0350,988-15
27 Aug 2026, 22:1451,003-19
26 Aug 2026, 21:0751,022-22
25 Aug 2026, 21:1851,044-27
24 Aug 2026, 18:0251,071-23
23 Aug 2026, 03:4751,094-32
21 Aug 2026, 12:4851,126first reading

Engagement

126 posts held, back to 30 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 112 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.20%
avg views ÷ 50,417 subscribers
Avg views / post
3,630
65 posts measured
Reaction rate
0.421%
reactions ÷ views · ER floor
Posts in window
65
of 126 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 27 September 2026
Posts held126 (30 July 2026 – 27 September 2026)
Views total236,114
Reactions total994
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 09:18 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
≈2,830
Videos
≈486
Links
≈1,290

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. 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
12m 05s
Average length
32s

Measured directly from 23 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

2,102 reactions across 126 posts, in 13 distinct kinds. The most used accounts for 39.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤81939.0%
👍50524.0%
🔥34716.5%
🤣23411.1%
👀512.43%
😁411.95%
🤯281.33%
🤝261.24%
🤔170.809%
🌚160.761%
😢130.618%
🏆30.143%
🌭20.095%

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 126 of the 126 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 2,102 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 126 most recent posts we hold, published 30 July 2026 to 27 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.

Telegram Stars

Stars received
3
across the posts below
Posts paid on
3
of 126 we hold a reading for · 2%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @PythonPortal. 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 126 most recent posts we hold for this entry, published 30 July 2026 to 27 September 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.

Recent posts

27 Sept 2026, 06:07 UTC894 views7 reactionsread 27 September 2026
Forwarded from @LLMSciencePhoto

Если вы только начинаете изучать машинное обучение и хотите глубже разобраться в математике, необходимой для машинного и глубокого обучения, советую попробовать эту платформу. Это что-то вроде LeetCode для машинного обучения. Это не реклама: я сам ей пользовался и решил поделиться с вами. https://deep-ml.com

❤7

26 Sept 2026, 16:07 UTC≈1,870 views22 reactionsread 27 September 2026
Photo

Как только начинаешь визуализировать свои SQL-схемы вот так, назад пути уже нет. sqltoerdiagram.com 👉 @PythonPortal

👍12❤4🔥4🤔1😢1

26 Sept 2026, 06:07 UTC≈2,200 views16 reactionsread 27 September 2026
Photo

Uniface Автоматизируйте обнаружение лиц, распознавание и анализ ключевых точек лица с помощью единой Python-библиотеки Uniface. https://github.com/yakhyo/uniface 👉 @PythonPortal

👍12❤2🤣1😢1

25 Sept 2026, 16:07 UTC≈2,510 views37 reactionsread 27 September 2026
Video

😭😭😭 👉 @PythonPortal

😁26🤣5❤3🌭1🏆1🤝1

25 Sept 2026, 06:07 UTC≈2,780 views8 reactionsread 27 September 2026
Photo

«Методы машинного обучения, которые стоит знать экономистам» Сьюзан Эйти и Гвидо В. Имбенс https://annualreviews.org/content/journals/10.1146/annurev-economics-080217-053433 👉 @PythonPortal

❤5🤝3

24 Sept 2026, 16:07 UTC≈3,010 views23 reactionsread 27 September 2026
Video

Чувак провёл довольно безумный эксперимент: сделал сайт, который сам себя развивает с помощью ИИ. На сервере установлен Claude Code. Пользователи присылают идеи, а каждые 4 часа ИИ сам выбирает лучшую и реализует её. При этом весь код автоматически публикуется здесь: https://github.com/midudev/tuweb.dev Сам сайт — https://tuweb.dev, если хотите посмотреть. Пока изменения ограничены: из соображений безопасности C…

🔥14❤7🤯2

24 Sept 2026, 14:22 UTC≈2,740 views6 reactionsread 27 September 2026
Photo

🎓 Как гарантированно войти в сферу кибербезопасности с официальным дипломом? Самостоятельное обучение в ИБ - это месяцы хаоса и разрозненных роликов с YouTube. Покупка курсов по отдельности на популярных платформах легко переваливает за 300 000 ₽. 🔥CyberYozh Academy собрали цельный карьерный трек в один пак: 5 фундаментальных программ + официальный Диплом системного администратора за 50 000 ₽ (вместо ~250 000 ₽) Ч…

🔥5🌚1

24 Sept 2026, 06:07 UTC≈3,070 views8 reactionsread 27 September 2026
Photo

Исследователь OpenAI Алиса Лю прошла 57 собеседований перед тем, как попасть в компанию, а затем открыто опубликовала весь свой путь подготовки и поиска работы. Если вы готовитесь к позициям Research Scientist или MTS, это один из самых насыщенных практических материалов, которые сейчас можно найти. Можно использовать её конспекты напрямую или просто взять список тем и пройти их самостоятельно. Такое публикуют редк…

❤8

23 Sept 2026, 16:07 UTC≈3,260 views10 reactionsread 27 September 2026
Photo

Вышла открытая альтернатива Jev — Kev. Модель доступна в трёх размерах. Она работает локально, поэтому данные остаются на вашем компьютере. Kev может отвечать «да» или «нет», выбирать один из вариантов и добавлять примечание. Подходит для задач классификации. 👉 @PythonPortal

👍9🤣1

23 Sept 2026, 06:07 UTC≈3,330 views5 reactionsread 27 September 2026

Очень рекомендую сохранить осенний курс Стэнфорда MS&E 319 — Efficient Generative Language Models. Курс идёт от предобучения до инференса и постобучения. Материалы и записи лекций обещают выкладывать позже. Мне особенно нравится его исходная идея: модели становятся всё больше, но бюджет всегда ограничен. Если есть конкретная задача и ограниченные вычислительные ресурсы, как выбрать цель обучения, архитектуру модели…

🤝3❤2

22 Sept 2026, 16:07 UTC≈3,230 views14 reactionsread 27 September 2026
Photo

«Принципы механики» — бесплатный учебник с открытым доступом, который даёт всестороннее введение в классическую механику. Книга начинается с математических основ, необходимых для изучения механики, а затем переходит к основным темам: кинематике, законам движения Ньютона, работе и энергии, линейному и угловому моменту, вращательному движению, гравитации, колебаниям и волнам. Теория сочетается с разобранными примерам…

👍8❤3🔥3

22 Sept 2026, 06:07 UTC≈3,290 views6 reactionsread 27 September 2026
Photo

Вот один из лучших материалов для начала, если хотите понять, что процессор на самом деле делает. https://youtu.be/GU8MnZI0snA 👉 @PythonPortal

👍6

Showing the 12 most recent of 126 posts we hold for @PythonPortal. 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

@PythonPortal 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
21 September 2026
Most recent edit
21 September 2026

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 3 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.

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.

Python Developer
@python_tg · 20,963
#1
Backend Portal | Программирование
@BackendPortal · 16,106
#2
IT Portal
@IT_Portal · 100,284
#3
InfoSec Portal
@cybersecinform · 19,315
#4
SQL Portal | Базы Данных
@SQLPortal · 13,741
#5
С/С++ Portal | Программирование
@Cpportal · 14,812
#6
PyLinux - Всё о Linux, Python и IT
@pylinux0 · 11,009
#7
GitHub Разработчика
@git_developer · 16,997
#8
DevOps Portal | Linux
@loose_code · 13,084
#9
[PYTHON:TODAY]
@python2day · 63,764
#10
Простой Python | Программирование
@python_piton_javascript · 126,249
#11
Pro Python • IT
@PythonTechCode · 4,174
#12
Java Portal | Программирование
@Java_Iibrary · 11,648
#13
Frontend Portal
@FrontendPortal · 36,678
#14
Data Portal | DS & ML
@LLMScience · 10,236
#15
Библиотека Кодера
@library_dev · 5,275
#16
IT Syndicate
@ITSyndicate_23 · 8,560
#17
Golang Portal
@GolangPortal · 7,478
#18
QA Portal | Тестирование
@QAPortal · 8,322
#19
C# Portal | Программирование
@KodBlog · 13,116
#20
Senior Python Developer
@seniorpy · 39,864
#21
Pythoner
@pythonercode · 6,604
#22
Python/ django
@pythonl · 58,866
#23
GameDev Portal | Разработка Игр
@GameDevgx · 8,006
#24
Python Learning
@Python_per_month · 28,238
#25
Python и 1000 уязвимостей
@osint_pythons · 36,535
#26
python_practics
@python_practics · 5,154
#27
Python — вакансии и стажировки
@pythonpythonjobs · 7,448
#28
Frontend — вакансии и стажировки
@senior_frontender · 9,169
#29
MobDev Portal | Мобильная Разработка
@MobDevPortal · 5,421
#30
JSON → Айти Memes
@json_tg · 1,601
#31
ВойтиВАйТи
@uneed_it · 2,883
#32
Python | Вопросы собесов
@python_easy_ru · 12,724
#33
Python RU
@pro_python_code · 12,361
#34
Python | Тесты
@easy_python_tests · 5,790
#35
Библиотека питониста | Python, Django, Flask
@pyproglib · 37,384
#36
PHP Portal | Программирование
@PHPgx · 4,663
#37
RECURA | Программирование & IT
@recura_tech · 14,581 (as read 25 August 2026)
#38
Мемы для фронтендеров
@frontendmems · 1,304
#39
Библиотека программиста
@devs_storage · 19,138
#40
Библиотека задач по Python | тесты, код, задания
@py_problems_lib · 6,386
#41
Точка входа в IT
@it_tochka · 18,103
#42
Python - Советы, библиотеки, гайды
@xo_py · 17,061
#43
Белый хакер
@bezopasno_soft · 29,706
#44
Хабр
@habr_com · 132,465
#45
CodHub | Программирование
@CodHub_CH · 10,996
#46
IT Books Ready | Программирование
@books_ready · 18,044
#47
Kali Linux
@linuxkalii · 55,412
#48
Frontend Matrix
@frontendmatrix · 2,278
#49
Однажды в трендах
@trendo · 67,788
#50
Social Engineering
@Social_engineering · 125,008
#51
$ sudo teach IT ⚙️
@sudoteach · 6,042
#52
Полка Разработчика
@developer_shelf · 26,815
#53
Склад айтишки
@skladitshki · 7,157
#54
infosec
@it_secur · 61,761
#55
ZeroDay | Кибербезопасность
@cybersec_academy · 42,838
#56
Backend Matrix
@backendmatrix · 2,586
#57
Montana.exe
@dejavu041 · 49,886
#58
Programmer & IT Memes
@itmemes · 123,290
#59
Python | LeetCode
@easy_python_task · 9,095
#60
Бэкдор
@whackdoor · 1,603,481
#61
GitHub Community
@github · 155,991
#62
Хауди Хо - IT юмор, жизнь программиста
@howdyho_official · 78,781
#63
NN
@naebnet · 2,178,705
#64
1337
@media1337 · 1,152,508
#65
IT библиотека
@books_learn · 8,882
#66
eleday
@eleday · 4,745
#67
Код.ру
@d_code · 406,147
#68
CodeCamp
@codecamp · 181,043
#69
Physics.Math.Code
@physics_lib · 146,712
#70
Programmer memes
@programmer_memes · 51,307
#71
Machinelearning
@ai_machinelearning_big_data · 279,417
#72
Математика Дата саентиста
@data_math · 14,278
#73
Технотренды
@techno_media · 790,765
#74
Анализ данных (Data analysis)
@data_analysis_ml · 50,656
#75
Эксплойт
@exploitex · 2,048,279
#76
CodeLang | Английский в IT
@code_language · 4,391
#77
Пекарня
@pekagame · 1,089,162
#78
Linux Ninja
@Linux_Ninjas · 3,448
#79
Не баг, а фича
@bugnotfeature · 1,065,433
#80

Read from Telegram’s recommendation API, most recently 25 August 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.

IT Portal
@IT_Portal · 100,284
Telegram ranks this channel #3 of 78 here — alongside 77 others — read 15 August 2026
Простой Python | Программирование
@python_piton_javascript · 126,249
Telegram ranks this channel #3 of 84 here — alongside 83 others — read 13 August 2026
Python Developer
@python_tg · 20,963
Telegram ranks this channel #4 of 85 here — alongside 84 others — read 25 September 2026
Python Learning
@Python_per_month · 28,238
Telegram ranks this channel #12 of 86 here — alongside 85 others — read 9 September 2026
Senior Python Developer
@seniorpy · 39,864
Telegram ranks this channel #14 of 92 here — alongside 91 others — read 30 August 2026
Montana.exe
@dejavu041 · 49,886
Telegram ranks this channel #20 of 80 here — alongside 79 others — read 25 August 2026
Однажды в трендах
@trendo · 67,788
Telegram ranks this channel #20 of 90 here — alongside 89 others — read 20 August 2026
Python и 1000 уязвимостей
@osint_pythons · 36,535
Telegram ranks this channel #21 of 84 here — alongside 83 others — read 1 September 2026
[PYTHON:TODAY]
@python2day · 63,764
Telegram ranks this channel #22 of 91 here — alongside 90 others — read 21 August 2026
Frontend Portal
@FrontendPortal · 36,678
Telegram ranks this channel #24 of 90 here — alongside 89 others — read 1 September 2026
Поколение Python 🐍
@pygen_ru · 50,072
Telegram ranks this channel #25 of 93 here — alongside 92 others — read 25 August 2026
Python Books. Книги по питону
@pythonbooks · 38,517
Telegram ranks this channel #30 of 65 here — alongside 64 others — read 17 September 2026
Python/ django
@pythonl · 58,866
Telegram ranks this channel #33 of 84 here — alongside 83 others — read 22 August 2026
Python обучающий
@pythonist24 · 55,872
Telegram ranks this channel #35 of 88 here — alongside 87 others — read 23 August 2026
Python Hacks
@python_secrets · 40,594
Telegram ranks this channel #37 of 82 here — alongside 81 others — read 30 August 2026
Python Academy
@python_academy · 44,284
Telegram ranks this channel #44 of 87 here — alongside 86 others — read 28 August 2026
Базы данных | Access, SQL, Big Data
@databases_secrets · 30,002
Telegram ranks this channel #57 of 82 here — alongside 81 others — read 7 September 2026
Библиотека питониста | Python, Django, Flask
@pyproglib · 37,384
Telegram ranks this channel #60 of 84 here — alongside 83 others — read 1 September 2026
Хауди Хо - IT юмор, жизнь программиста
@howdyho_official · 78,781
Telegram ranks this channel #61 of 90 here — alongside 89 others — read 18 August 2026
Python вопросы с собеседований
@python_job_interview · 24,881
Telegram ranks this channel #67 of 90 here — alongside 89 others — read 15 September 2026
Математика | Геометрия
@algebra_shpargalki · 23,882
Telegram ranks this channel #71 of 86 here — alongside 85 others — read 17 September 2026

This channel appears in 21 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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“Python Portal” (@PythonPortal), 50,417 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/PythonPortal.

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.