Курс по FastAPI на Python для начинающих В этом видео автор делает полный разбор фреймворка FastAPI на языке Python с первых строчек до деплоя на реальный сервер. 00:00 Для чего используется FastAPI 02:39 Как написать простейшее приложение 06:26 Как применять Pydantic 11:48 Как работать с базой данных из FastAPI 26:37 Что такое роутер в FastAPI 34:23 Как развернуть приложение через Docker 39:02 Как развернут…

Channel
Python Hacks
@python_secrets
On this record: Growth · Engagement · What this channel posts · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry
40,871subscribers
-89 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 | -1001374393457 |
|---|---|
| Type | Channel |
| Username | @python_secrets |
| Description | Всё о языке Python простым языком. По всем вопросам: @max_excel РКН: vk.cc/cHhGJh |
| Created | 23 November 2019 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/python_secrets |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 11:08 | 40,871 | -4 |
| 11 Aug 2026, 14:12 | 40,875 | -28 |
| 10 Aug 2026, 14:18 | 40,903 | -19 |
| 9 Aug 2026, 16:01 | 40,922 | -21 |
| 8 Aug 2026, 16:17 | 40,943 | -11 |
| 7 Aug 2026, 13:18 | 40,954 | -6 |
| 7 Aug 2026, 00:00 | 40,960 | no change |
| 6 Aug 2026, 23:52 | 40,960 | first reading |
Engagement
33 posts held, back to 23 June 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 22 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.21%
- avg views ÷ 40,871 subscribers
- Avg views / post
- 1,720
- 21 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 21
- of 33 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.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 33 (23 June 2026 – 12 August 2026) |
| Views total | 36,122 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 22:58 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
- 172
- Videos
- 71
- Links
- 256
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 7h 29m
- Average length
- 1h 14m
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.
Advertising
- Ad load
- 3.03%
- 1 of 33 posts carry an ad marker
- Regulatory tokens
- 1
- posts carrying an erid · 1 distinct token
- Median views · ads
- 3,040
- over 1 measured post
- Median views · rest
- 1,990
- over 32 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.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| 2VtzqvtzAiV | 1 | 8 July 2026 | 8 July 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 33 most recent posts we hold, published 23 June 2026 to 12 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Posted without readable text
Ядро планеты Python. Интерактивный учебник Оригинал учебника лежит на GitHub, вы вольны сколько угодно дополнять и переделывать его. Самое главное — учебник написан на Jupiter Notebook, а это значит, что вы можете интерактивно редактировать код, мгновенно добавляя новые сущности или проясняя непонятные моменты. Python Hacks
Posted without readable text
Разбираемся с основами автотестирования: пошаговая инструкция по созданию собственного фреймворка для проверки API В этой статье автор расскажет о разработке типового фреймворка для тестирования API – на Python, с нуля, шаг за шагом. В итоге получится полностью готовый тестовый фреймворк – с его помощью вы сможете сделать тестовое задание для собеседования или просто улучшить ваш уже действующий тестовый фреймворк. …
Posted without readable text
Как я использовал Pytest для написания QA-тестов, гарантированно обходящих 2FA В этой статье автор расскажет, как он написал Python-тесты, которые обходят 2FA и при этом не покушаются на безопасность клиентов. Для этого использовался Selenium и был разработал Slackbot. Python Hacks
Разработка игры на Python В этом видеоуроке автор подробно и наглядно разбирает процесс разработки игры по мотивам "Space Invaders" на языке программирования Python с использованием библиотеки Pygame. Вы рассмотрите как устанавливать модули, настраивать и отрисовывать на экране изображение пушки из будущей игры. Смотреть это видео на youtube: youtu.be/ilP1dImCuJ8
Через месяц Россию ждут колоссальные изменения. Нефть продолжает лететь вверх, мировой интернет запрещают, а военный конфликт с Украиной сдвинется с мертвой точки. Это затронет всех россиян. И большинство в панике потеряют половину нажитого, как в феврале 2022г. Самое важное сейчас — не терять рассудок и читать аналитику опытных экономистов, которые опираются только на факты. Например, почитайте канал «Инвестиции С…
Менеджер контекста это просто В статье рассматриваются возможности контекстного менеджера языка Python, его роль в управлении ресурсами и обеспечении безопасного выполнения кода. Приводятся примеры использования контекстных менеджеров для работы с файлами, базами данных, потоками и сетевыми соединениями. Python Hacks
Метод K-ближайших соседей: принцип работы, разновидности и реализация с нуля на Python К-ближайших соседей (K-Nearest Neighbors или просто KNN) — алгоритм классификации и регрессии, основанный на гипотезе компактности, которая предполагает, что расположенные близко друг к другу объекты в пространстве признаков имеют схожие значения целевой переменной или принадлежат к одному классу. Python Hacks
Гайд по Notion для программиста В этом видео автор рассмотрит различные аспекты использования Notion на телефоне и компьютере. Вы узнаете, как использовать Notion для повышения своей продуктивности и эффективности работы или учебы. 02:09 Блоки 05:13 Рабочее пространство 07:35 Команда 09:46 Базы данных 12:35 Представления 15:12 Шаблоны 17:23 Связи 20:18 Формулы 22:58 Шаблоны 25:20 Хаки Смотреть это видео …
Showing the 12 most recent of 33 posts we hold for @python_secrets. 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.
Citation-graph rank
Citation-graph rank — 929,104 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 1 registered channel — 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.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@hacks_excel · 285,000
Telegram ranks this channel #5 of 85 here — alongside 84 others — read 10 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Python Hacks” (@python_secrets), 40,871 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/python_secrets.
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.