Статьи о том, как взломать жизненные проблемы с помощью технологий.
Сайт: https://thecode.media
Журнал Яндекс Практикума.
Номер заявления в РКН — 4970835371
Страница в реестре: https://rknn.link/Yt
Created
21 March 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 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
37 measurements spanning 52 days, net -320. 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 49,180–49,606 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 37
Measured (UTC)
Subscribers
Change
26 Sept 2026, 13:56
49,232
-5
19 Sept 2026, 15:57
49,237
+4
17 Sept 2026, 05:19
49,233
+4
15 Sept 2026, 09:15
49,229
-41
13 Sept 2026, 19:37
49,270
-1
12 Sept 2026, 03:38
49,271
-7
9 Sept 2026, 20:01
49,278
-28
6 Sept 2026, 09:42
49,306
+2
3 Sept 2026, 23:59
49,304
-13
2 Sept 2026, 17:37
49,317
-13
1 Sept 2026, 12:44
49,330
-7
31 Aug 2026, 14:34
49,337
-18
30 Aug 2026, 14:57
49,355
-14
29 Aug 2026, 14:26
49,369
-8
28 Aug 2026, 12:27
49,377
-5
27 Aug 2026, 13:54
49,382
-9
26 Aug 2026, 11:32
49,391
-11
25 Aug 2026, 14:52
49,402
-23
24 Aug 2026, 17:07
49,425
-5
23 Aug 2026, 03:58
49,430
first reading
Engagement
128 posts held, back to 31 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 105 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.92%
avg views ÷ 49,232 subscribers
Avg views / post
2,420
68 posts measured
Reaction rate
0.455%
reactions ÷ views · ER floor
Posts in window
68
of 128 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
Window
Rolling 30 days · latest post in window 26 September 2026
Posts held
128 (31 July 2026 – 26 September 2026)
Views total
164,840
Reactions total
750
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 06:21 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
≈8,220
Videos
≈320
Links
≈5,970
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.
Reaction mix
1,503 reactions across 124 posts, in 8 distinct kinds. The most used accounts for 31.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
472
31.4%
👍
385
25.6%
🔥
346
23.0%
😁
163
10.8%
🤡
49
3.26%
🤣
44
2.93%
👎
36
2.40%
😢
8
0.532%
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 128 of the 128 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 1,570 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 128 most recent posts we hold, published 31 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.
ИИ для рабочих задач, а не для кода
9 бесплатных нейросетей для текста: что выбрать в 2026 году
Внутри сравнительная таблица и практические сценарии, как их комбинировать. Полезная цифра: бесплатный GigaChat тянет до 128 000 токенов за диалог — это примерно 300-500 страниц. И честное предупреждение: нейросети придумывают статистику, исследования и целые источники, так что факты всё равно проверять вам.
Сервисы AI-т…
REST привычный, GraphQL гибкий — но из этого всё ещё непонятно, что выбрать для реального проекта.
На примере карточки товара разбираемся, сколько запросов понадобится каждому подходу, что происходит с кэшированием и нагрузкой, откуда в GraphQL берётся проблема N+1 и в каких случаях его сложность действительно окупается.
А заодно смотрим, когда лучше вообще выбрать gRPC или tRPC.
https://v.thecode.media/9t7bs
→ Д…
Бухгалтеру Марине прислали акт сверки. Файл не открылся — бывает. Коллега извинился и пропал — тоже бывает. Через два дня клиентская база магазина продавалась на закрытом форуме, а маме Марины звонили из банка и знали про её деньги чуть больше, чем положено знать банку. Пароли Марина никому не называла, антивирус не отключала, ссылки не нажимала.
Разберемся вместе со специалистом по ИБ компании по порядку: как мошен…
Запретить коллегам из отдела маркетинга (можете подставить любой другой отдел) сливать рабочие данные в нейронки легко. Сложнее объяснить, что им теперь делать с задачами, ради которых они туда шли.
Показываем, как собрать приложение, отчеты, решить любые задачи прямо внутри корпоративного портала.
Мы протестили Коворк/Код — десктоп-приложение с AI-агентом от Битрикс24 Вайбкода. Оказывается, теперь всю рутину по ра…
🦙 Что такое Ollama
Ollama — это опенсорсная платформа с лицензией MIT, которая скачивает большие языковые модели и запускает их на вашем компьютере. Все вычисления происходят локально: запросы и ответы не покидают машину, платить за токены не нужно, а после того как модель скачана, Ollama работает даже без интернета.
Частая путаница: Ollama нейросетью называют сплошь и рядом, но сама по себе она ничего не генерируе…
Бэкенд редко заканчивается на одном языке, фреймворке и паре эндпоинтов. Собрали 7 технических книг про алгоритмы, базы данных, микросервисы, архитектуру и надёжность систем. Причём примеры и код в них проверяли IT-специалисты.
https://v.thecode.media/0z38s
→ До 30 сентября действует скидка 16% на курсы Практикума
Давай, исправляйся.
Вот статья с пошаговым руководством: https://v.thecode.media/l3p10
Вот курс, чтобы не разбираться самому: https://v.thecode.media/nydnm
→ До 30 сентября действует скидка 16% на курсы Практикума
Открытых моделей за последний год вышло столько, что выбор между ними превратился в отдельную профессию. Разобрались, чем открытые веса отличаются от открытого кода, какие лицензии реально разрешают бизнесу и сколько видеопамяти съест модель до того, как вы успеете задать ей первый вопрос. Плюс подборка российских моделей и рабочий калькулятор VRAM.
https://v.thecode.media/7joj7
→ До 30 сентября действует скидка 16…
⚫️⚪️ Нестандартная задача про вероятность и шары
При приёме на работу эта задача отлично проверяет умение кандидатов считать вероятности. Важное качество, если вы решите пойти в data science.
Из мешка с поровну перемешанными чёрными и белыми шарами достают не глядя один шар и кладут его в ящик. После этого в ящик добавляют белый шар, перемешивают и наугад достают один из них. Он оказывается белым.
Какова вероятнос…
Зачем одну таблицу делить на пять?
Читайте про 1НФ, 2НФ, 3НФ для базы данных — узнайте, как нормализовать данные, устранить аномалии и вести таблицу по правилам из лучших практик по SQL.
https://v.thecode.media/i6etw
→ До 30 сентября действует скидка 16% на курсы Практикума
Практикум продлил действие скидки 16% на обучение до 30 сентября
Выбирать курс и начать учиться вы можете по ссылке: https://v.thecode.media/9d6l0
Журнал «Код» | Промокод Практикума | Новости мира IT и технологий
🔥4
Showing the 12 most recent of 128 posts we hold for @thecodemedia. 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
@thecodemedia 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
24 August 2026
Most recent edit
24 August 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 2 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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.
NOP::Nuances of Programming @nuancesprog · 56,542 Telegram ranks this channel #3 of 84 here — alongside 83 others — read 23 August 2026
Яндекс Практикум @yndx_practicum · 33,979 Telegram ranks this channel #5 of 97 here — alongside 96 others — read 3 September 2026
Типичный программист @tproger · 78,305 Telegram ranks this channel #13 of 95 here — alongside 94 others — read 19 August 2026
[404] — программирование @procode404 · 40,506 Telegram ranks this channel #17 of 83 here — alongside 82 others — read 30 August 2026
Кинжал @Le_kinzhal · 46,565 Telegram ranks this channel #18 of 98 here — alongside 97 others — read 27 August 2026
Pythonist.ru - образование по питону @pythonist_ru · 24,046 Telegram ranks this channel #21 of 82 here — alongside 81 others — read 17 September 2026
Python обучающий @pythonist24 · 55,872 Telegram ranks this channel #22 of 88 here — alongside 87 others — read 23 August 2026
Библиотека программиста @proglibrary · 78,288 Telegram ranks this channel #25 of 82 here — alongside 81 others — read 19 August 2026
Хабр @habr_com · 132,465 Telegram ranks this channel #26 of 92 here — alongside 91 others — read 13 August 2026
Python Academy @python_academy · 44,284 Telegram ranks this channel #30 of 87 here — alongside 86 others — read 28 August 2026
Т—Ж Мозг @t_dopamine · 21,070 Telegram ranks this channel #31 of 94 here — alongside 93 others — read 24 September 2026
Веб-страница @tproger_web · 22,429 Telegram ranks this channel #32 of 96 here — alongside 95 others — read 20 September 2026
Поколение Python 🐍 @pygen_ru · 50,072 Telegram ranks this channel #33 of 93 here — alongside 92 others — read 25 August 2026
Stepik – онлайн-курсы @stepik_courses · 24,454 Telegram ranks this channel #35 of 93 here — alongside 92 others — read 16 September 2026
Excel Everyday @excel_everyday · 52,367 Telegram ranks this channel #48 of 97 here — alongside 96 others — read 24 August 2026
Библиотека питониста | Python, Django, Flask @pyproglib · 37,384 Telegram ranks this channel #56 of 84 here — alongside 83 others — read 1 September 2026
Английский язык 🇬🇧 @dailyeng · 73,206 Telegram ranks this channel #56 of 87 here — alongside 86 others — read 19 August 2026
Яндекс нанимает | Вакансии для разработчиков @ya_jobs · 32,803 Telegram ranks this channel #57 of 96 here — alongside 95 others — read 5 September 2026
Skillbox: образовательная платформа @skillboxru · 36,669 Telegram ranks this channel #57 of 97 here — alongside 96 others — read 3 September 2026
Аудиокниги @AUDIOKNIGI_CHANNEL · 256,180 Telegram ranks this channel #58 of 60 here — alongside 59 others — read 10 August 2026
Хабр Карьера @habr_career · 33,171 Telegram ranks this channel #61 of 97 here — alongside 96 others — read 4 September 2026
Selectel @Selectel · 63,289 Telegram ranks this channel #65 of 96 here — alongside 95 others — read 21 August 2026
Однажды в трендах @trendo · 67,788 Telegram ranks this channel #65 of 90 here — alongside 89 others — read 20 August 2026
Яндекс Образование @Education_Yandex · 37,959 Telegram ranks this channel #70 of 96 here — alongside 95 others — read 31 August 2026
This channel appears in 32 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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“Журнал «Код»” (@thecodemedia), 49,232 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/thecodemedia.
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.