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Channel

Python и 1000 уязвимостей

@osint_pythons

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

36,535subscribers

-107 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001310194575
TypeChannel
Username@osint_pythons
DescriptionСила в единстве. Сотрудничество: @workhouse_price № 5383975776 РКН: https://clck.ru/3FtTDH
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live25 September 2026
Measurements held31
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/osint_pythons

Topic

Hacking & security — 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 92% 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

36,53536,64336,5896 August 2026 — 36,642 subscribers7 August 2026 — 36,643 subscribers9 August 2026 — 36,639 subscribers10 August 2026 — 36,635 subscribers11 August 2026 — 36,631 subscribers12 August 2026 — 36,630 subscribers13 August 2026 — 36,627 subscribers14 August 2026 — 36,623 subscribers16 August 2026 — 36,625 subscribers17 August 2026 — 36,621 subscribers18 August 2026 — 36,619 subscribers20 August 2026 — 36,613 subscribers22 August 2026 — 36,612 subscribers24 August 2026 — 36,610 subscribers25 August 2026 — 36,603 subscribers26 August 2026 — 36,599 subscribers27 August 2026 — 36,598 subscribers27 August 2026 — 36,593 subscribers28 August 2026 — 36,594 subscribers29 August 2026 — 36,588 subscribers31 August 2026 — 36,581 subscribers1 September 2026 — 36,578 subscribers2 September 2026 — 36,579 subscribers3 September 2026 — 36,576 subscribers8 September 2026 — 36,563 subscribers11 September 2026 — 36,549 subscribers13 September 2026 — 36,554 subscribers14 September 2026 — 36,545 subscribers16 September 2026 — 36,553 subscribers18 September 2026 — 36,546 subscribers25 September 2026 — 36,535 subscribers6 August 202625 September 2026
31 measurements spanning 49 days, net -107. 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 36,519–36,659 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
25 Sept 2026, 08:4236,535-11
18 Sept 2026, 22:3936,546-7
16 Sept 2026, 15:0136,553+8
14 Sept 2026, 19:1836,545-9
13 Sept 2026, 04:1936,554+5
11 Sept 2026, 04:5736,549-14
8 Sept 2026, 09:5936,563-13
3 Sept 2026, 10:1336,576-3
2 Sept 2026, 05:0936,579+1
1 Sept 2026, 02:1336,578-3
31 Aug 2026, 00:4736,581-7
29 Aug 2026, 22:3236,588-6
28 Aug 2026, 21:3436,594+1
27 Aug 2026, 22:4836,593-5
27 Aug 2026, 00:2436,598-1
26 Aug 2026, 02:1336,599-4
25 Aug 2026, 04:4436,603-7
24 Aug 2026, 05:1336,610-2
22 Aug 2026, 10:3536,612-1
20 Aug 2026, 21:2236,613first reading

Engagement

116 posts held, back to 28 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 94 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.889%
avg views ÷ 36,535 subscribers
Avg views / post
325
57 posts measured
Reaction rate
1.04%
reactions ÷ views · ER floor
Posts in window
57
of 116 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 held116 (28 July 2026 – 27 September 2026)
Views total18,508
Reactions total192
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 15:39 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
≈2,340
Videos
≈644
Links
≈2,550

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
12h 26m
Average length
1h 14m

Measured directly from 10 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

376 reactions across 116 posts, in 5 distinct kinds. The most used accounts for 39.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥15039.9%
👍11029.3%
❤10327.4%
🤔92.39%
🤯41.06%

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 116 of the 116 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 376 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 116 most recent posts we hold, published 28 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.

Recent posts

27 Sept 2026, 14:25 UTC72 views2 reactionsread 27 September 2026
Photo

📣 Python для хакеров. Нетривиальные задачи и проекты Книга Ли Вогана посвящена практическому применению Python в информационной безопасности. Автор предлагает решать нестандартные задачи и создавать проекты, связанные с автоматизацией, анализом данных и исследованием компьютерных систем. — На примерах читатель изучает разработку собственных инструментов, работу с сетями, обработку информации и применение Python дл…

👍1🔥1

26 Sept 2026, 19:10 UTC168 views3 reactionsread 27 September 2026
Photo

⚙️ Коллекция публичных отчётов по тестированию на проникновение Public Pentesting Reports – это каталог отчётов по пентестам от компаний в сфере кибербезопасности и академических исследовательских групп. Содержит реальные примеры аудита безопасности, выявленных уязвимостей, методик тестирования и рекомендаций по их устранению. — Помогает изучать практику пентестинга, анализировать результаты аудитов и учиться сост…

👍2🔥1

26 Sept 2026, 12:06 UTC186 views3 reactionsread 27 September 2026
Photo

📣 Learning pandas — Michael Heydt Практическое руководство по работе с библиотекой Pandas в Python для анализа и обработки данных. Книга знакомит с DataFrame и Series, импортом и очисткой данных, фильтрацией, группировкой и преобразованием таблиц. — Подойдёт начинающим Python-разработчикам и аналитикам, которые хотят освоить инструменты обработки данных и научиться применять Pandas в реальных задачах. 🖥 Скачиваем…

❤2🔥1

25 Sept 2026, 19:29 UTC226 views3 reactionsread 27 September 2026
Photo

ℹ️ Как использовать VirusTotal для поиска уязвимостей сайтов в багбаунти VirusTotal – популярный инструмент для сканирования файлов на вирусы и других операций, связанных с безопасностью. — Сегодня поговорим об использовании VirusTotal в другом аспекте, а точнее о том, как использовать VirusTotal в багбаунти, для поиска уязвимостей. 🖥 Читать подробнее

👍2❤1

25 Sept 2026, 13:30 UTC243 views3 reactionsread 27 September 2026
Photo

📣 Grokking Deep Learning – Andrew W. Trask Практическое введение в глубокое обучение без сложной теории. Автор на Python и NumPy показывает, как работают нейронные сети изнутри: прямое и обратное распространение, градиентный спуск, регуляризация, CNN, RNN, LSTM и word embeddings. — Подойдёт тем, кто хочет не просто использовать готовые ML-фреймворки, а разобраться в принципах работы нейросетей на практике. 🖥 Скач…

🔥2❤1

24 Sept 2026, 19:40 UTC275 views2 reactionsread 27 September 2026
Photo

🔖 SQL Injection Cheatsheet – практическая шпаргалка по ручному тестированию SQL-инъекций Материал охватывает пять популярных СУБД: MySQL, PostgreSQL, MSSQL/SQL Server, Oracle и SQLite. Внутри собраны техники определения типа БД, проверки инъекций, работы с комментариями, строками и подзапросами, Boolean/Time-Based, Error-Based и Stack-Based SQLi, а также примеры получения информации о версии БД, схемах, таблицах и …

👍2

24 Sept 2026, 15:15 UTC264 views5 reactionsread 27 September 2026
Photo

📣 Full Stack Django and React Практическое руководство по созданию full-stack веб-приложений на связке Python, Django и React с использованием облачной инфраструктуры AWS. Книга показывает, как объединить серверную и клиентскую части приложения: от разработки backend на Django и создания API до построения современного интерфейса на React. Отдельное внимание уделяется взаимодействию frontend и backend и организации …

❤2👍2🔥1

23 Sept 2026, 18:55 UTC302 views3 reactionsread 27 September 2026
Photo

🆕 Релиз языка программирования Mojo 1.1 17 сентября 2026 года вышло обновлениеязыка программирования Mojo 1.1. Этот выпуск примечателен началом приёма в кодовую базу компилятора изменений от сторонних участников. В августе 2026 года состоялся первый мажорный релиз Mojo, который ознаменовал стабилизацию языка и реализацию всех базовых возможностей и оценивается как готовый к повсеместному использованию. — Использов…

👍2🤯1

23 Sept 2026, 12:45 UTC291 views3 reactionsread 27 September 2026
Photo

📣 Python: создаем программы и игры. 3-е издание Д. М. Кольцов Практическая книга для тех, кто хочет освоить Python через создание собственных программ и игр. Материал построен вокруг практики: читатель постепенно знакомится с синтаксисом языка, переменными, условиями, циклами, функциями, структурами данных и другими базовыми инструментами программирования. Отдельное внимание уделяется разработке игр – полученные з…

👍2❤1

22 Sept 2026, 18:35 UTC336 views4 reactionsread 27 September 2026
Video

▶️ Лучшая книга по хакерству на Python? Разница между скрипт-кидисами и профессионалами – это разница между простым использованием чужих инструментов и написанием собственных. Чарльз Миллер, из предисловия (1-е издание). Это отличная книга, если вы хотите выучить Python для хакерства и тестирования на проникновение. — Иногда инструменты, которые вы хотите использовать, недоступны на целевых системах, и единственны…

👍3🔥1

22 Sept 2026, 12:31 UTC332 views3 reactionsread 27 September 2026
Photo

📣 Настольная книга project-менеджера Владимир Завертайлов Практическое руководство о том, как управлять IT и digital-проектами с учетом российской специфики. В книге разбираются Scrum и Kanban, декомпозиция и оценка задач, работа с дизайнерами и разработчиками, собственная команда и аутсорс, техподдержка, экономика проекта, операционные затраты и P&L. — Отдельное внимание уделено soft skills, коммуникации с заказч…

🔥2❤1

21 Sept 2026, 18:21 UTC350 views4 reactionsread 27 September 2026
Photo

⚙️ Pinkerton – поиск секретов в JavaScript Pinkerton – Python-инструмент для сбора JavaScript-файлов с веб-сайта и поиска в них чувствительных данных: API-ключей, токенов авторизации, захардкоженных паролей и других секретов. Pinkerton автоматически обходит JavaScript-код и применяет набор регулярных выражений для обнаружения потенциально утекших секретов. Проект использует наработки SecretFinder и Gitleaks, а запу…

🔥3👍1

Showing the 12 most recent of 116 posts we hold for @osint_pythons. 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

@osint_pythons edited 2 posts 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
14 August 2026
Most recent edit
30 August 2026

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.

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.

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:TODAY]
@python2day · 63,764
#1
Senior Python Developer
@seniorpy · 39,864
#2
Python Learning
@Python_per_month · 28,238
#3
Простой Python | Программирование
@python_piton_javascript · 126,249
#4
Python Developer
@python_tg · 20,963
#5
Однажды в трендах
@trendo · 67,788
#6
python_practics
@python_practics · 5,154
#7
PyLinux - Всё о Linux, Python и IT
@pylinux0 · 11,009
#8
Библиотека питониста | Python, Django, Flask
@pyproglib · 37,384
#9
Python Expert | Программирование
@pythonexpert_it · 10,540
#10
Python/ django
@pythonl · 58,866
#11
Библиотека Программиста
@code_library · 17,392
#12
Python Hacks
@python_secrets · 40,594
#13
Python | Программирование
@Python_libr · 8,938
#14
Гайды по Python | Программирование
@pythonguide_it · 15,939
#15
Просто Python | Data science | ML | AI
@pro100_python · 9,551
#16
Python | Вопросы собесов
@python_easy_ru · 12,724
#17
Архив Безопасника
@secure_archive · 10,833
#18
Библиотека программиста
@devs_storage · 19,138
#19
Zen of Python
@zen_of_python · 18,830
#20
Python Portal
@PythonPortal · 50,417
#21
Python RU
@pro_python_code · 12,361
#22
Python | Тесты для программистов
@pythontest_it · 15,042
#23
Pro Python • IT
@PythonTechCode · 4,174
#24
Склад разработчика
@devs_store · 11,766
#25
Python вопросы с собеседований
@python_job_interview · 24,881
#26
Pythonist.ru - образование по питону
@pythonist_ru · 24,046
#27
Python tricks | Хитрости Питона
@python_tricks · 5,066
#28
Just Python
@justpython_it · 9,835
#29
Python Academy
@python_academy · 44,284
#30
IT Portal
@IT_Portal · 100,284
#31
Полка Разработчика
@developer_shelf · 26,815
#32
CyberINS // Лаборатория ИБешника
@cyberins · 11,425
#33
Разъяснивший Python
@python_pssss · 6,968
#34
IT-Сэнсэй | Уроки по программированию
@it_sensei · 11,178
#35
Open Source
@open_source_friend · 52,304
#36
DevOps School | Linux, InfoSec, ИБ
@devops_sc · 14,833
#37
Анализ данных (Data analysis)
@data_analysis_ml · 50,656
#38
Data Science: Алгоритмы и Структуры данных
@structuredata · 7,691
#39
Python Job | Вакансии | Стажировки
@job_python · 23,025
#40
Data Secrets
@data_secrets · 94,138
#41
Секреты сисадмина | DevOps, Linux, SRE
@sysadmin_library · 25,649
#42
Python | LeetCode
@easy_python_task · 9,095
#43
Python - Советы, библиотеки, гайды
@xo_py · 17,061
#44
Pythoner
@pythonercode · 6,604
#45
Гайды по БД и SQL
@learn_bd_sql · 6,207
#46
Admin Guides | Сисадмин
@admguides · 11,942
#47
Python: задачки и вопросы
@quiz_python · 6,932
#48
Code Guru
@codeguru_tg · 8,818
#49
IT Syndicate
@ITSyndicate_23 · 8,560
#50
ITLES | Уроки программирования
@itles_tg · 16,007
#51
Programmer & IT Memes
@itmemes · 123,290
#52
Библиотека задач по Python | тесты, код, задания
@py_problems_lib · 6,386
#53
Базы данных | Access, SQL, Big Data
@databases_secrets · 30,002
#54
PythonCamp
@pycodecamp · 8,119
#55
Life-Hack - Хакер
@haccking · 63,183
#56
Python — вакансии и стажировки
@pythonpythonjobs · 7,448
#57
Библиотека программиста
@proglibrary · 78,288
#58
Machine Learning | Нейронные сети, ИИ, Big Data
@ML_secrets · 7,398
#59
Python обучающий
@pythonist24 · 55,872
#60
GitHub программиста
@githubdevs · 4,774
#61
Social Engineering
@Social_engineering · 125,008
#62
Mr. Robot
@elliot_cybersec · 38,917
#63
CodeCamp
@codecamp · 181,043
#64
no system is safe // cybersec
@nsis_cybersec · 21,518
#65
Записки Безопасника
@infosec_globe · 18,120
#66
Physics.Math.Code
@physics_lib · 146,712
#67
Не хакинг, а ИБ
@searchack · 18,194
#68
GitHub Community
@github · 155,991
#69
NetStalkers
@netstalkerscom · 7,844
#70
infosec
@it_secur · 61,761
#71
Бэкдор
@whackdoor · 1,603,481
#72
Machinelearning
@ai_machinelearning_big_data · 279,417
#73
Чёрный Треугольник
@black_triangle_tg · 63,850
#74
Kali Linux
@linuxkalii · 55,412
#75
XOR
@xor_journal · 182,317
#76
White Hat
@kind_hack · 11,972
#77
Серверная Админа | Компьютерные сети
@school_network · 26,588
#78
Технотренды
@techno_media · 790,765
#79
SQL и БД Learning
@sql_tg · 9,553
#80
Linux для чайника
@os_linux_ru · 19,622
#81
Bash Days | Linux | DevOps
@bashdays · 23,634
#82
Эксплойт
@exploitex · 2,048,279
#83
Python Tasks & ML | Задачи по питону и машинному обучению
@python_tasks · 8,520
#84

Read from Telegram’s recommendation API, most recently 1 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.

Senior Python Developer
@seniorpy · 39,864
Telegram ranks this channel #2 of 92 here — alongside 91 others — read 30 August 2026
Python Learning
@Python_per_month · 28,238
Telegram ranks this channel #3 of 86 here — alongside 85 others — read 9 September 2026
Python Hacks
@python_secrets · 40,594
Telegram ranks this channel #4 of 82 here — alongside 81 others — read 30 August 2026
Однажды в трендах
@trendo · 67,788
Telegram ranks this channel #4 of 90 here — alongside 89 others — read 20 August 2026
Простой Python | Программирование
@python_piton_javascript · 126,249
Telegram ranks this channel #5 of 84 here — alongside 83 others — read 13 August 2026
Pythonist.ru - образование по питону
@pythonist_ru · 24,046
Telegram ranks this channel #6 of 82 here — alongside 81 others — read 17 September 2026
Python обучающий
@pythonist24 · 55,872
Telegram ranks this channel #7 of 88 here — alongside 87 others — read 23 August 2026
[PYTHON:TODAY]
@python2day · 63,764
Telegram ranks this channel #8 of 91 here — alongside 90 others — read 21 August 2026
Учебные фильмы 🎞
@maths_lib · 25,423
Telegram ranks this channel #9 of 67 here — alongside 66 others — read 14 September 2026
Python Academy
@python_academy · 44,284
Telegram ranks this channel #10 of 87 here — alongside 86 others — read 28 August 2026
Поколение Python 🐍
@pygen_ru · 50,072
Telegram ranks this channel #16 of 93 here — alongside 92 others — read 25 August 2026
Базы данных | Access, SQL, Big Data
@databases_secrets · 30,002
Telegram ranks this channel #17 of 82 here — alongside 81 others — read 7 September 2026
Библиотека питониста | Python, Django, Flask
@pyproglib · 37,384
Telegram ranks this channel #19 of 84 here — alongside 83 others — read 1 September 2026
Python Developer
@python_tg · 20,963
Telegram ranks this channel #20 of 85 here — alongside 84 others — read 25 September 2026
Полка Разработчика
@developer_shelf · 26,815
Telegram ranks this channel #24 of 63 here — alongside 62 others — read 11 September 2026
Английский для программиста | EnglishScript
@EnglishScript · 45,107
Telegram ranks this channel #24 of 82 here — alongside 81 others — read 27 August 2026
Python Job | Вакансии | Стажировки
@job_python · 23,025
Telegram ranks this channel #26 of 96 here — alongside 95 others — read 19 September 2026
Python Portal
@PythonPortal · 50,417
Telegram ranks this channel #26 of 80 here — alongside 79 others — read 25 August 2026
Математика | Геометрия
@algebra_shpargalki · 23,882
Telegram ranks this channel #29 of 86 here — alongside 85 others — read 17 September 2026
Python/ django
@pythonl · 58,866
Telegram ranks this channel #30 of 84 here — alongside 83 others — read 22 August 2026
Python вопросы с собеседований
@python_job_interview · 24,881
Telegram ranks this channel #32 of 90 here — alongside 89 others — read 15 September 2026
Python Books. Книги по питону
@pythonbooks · 38,517
Telegram ranks this channel #35 of 65 here — alongside 64 others — read 17 September 2026
Троянский конь | IT, технологии
@trojan_anonym · 64,576
Telegram ranks this channel #35 of 82 here — alongside 81 others — read 21 August 2026
Porscode | CMD
@porscode_tg · 28,393
Telegram ranks this channel #38 of 77 here — alongside 76 others — read 9 September 2026

This channel appears in 37 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 и 1000 уязвимостей” (@osint_pythons), 36,535 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/osint_pythons.

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.