Channel
@Django_pythonl
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
6,620subscribers
-23 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001202864012 |
|---|---|
| Type | Channel |
| Username | @Django_pythonl |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 20 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 20 August 2026 |
| On Telegram | t.me/Django_pythonl |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 20 Aug 2026, 14:36 | 6,620 | -3 |
| 17 Aug 2026, 16:35 | 6,623 | -8 |
| 14 Aug 2026, 07:07 | 6,631 | -3 |
| 10 Aug 2026, 22:01 | 6,634 | -9 |
| 6 Aug 2026, 20:30 | 6,643 | no change |
| 6 Aug 2026, 20:22 | 6,643 | first reading |
22 posts held, back to 1 October 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 10 pagesof Telegram’s post history, 20 posts per page.
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 14 August 2026 |
|---|---|
| Posts held | 22 (1 October 2025 – 14 August 2026) |
| Views total | 895 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 20 Aug 2026, 12:27 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.
Measured directly from 1 video 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.
🐍 Django-разработчикам: `DEBUG=True` в проде опаснее, чем кажется. Это не просто красивые страницы ошибок. При включённом DEBUG приложение может раскрывать stack trace, настройки, пути файлов, middleware, URL-паттерны и другие детали окружения. Главная рекомендация - fail closed: DEBUG = False То есть по умолчанию DEBUG всегда выключен, а включается только локально. Даже staging, QA и preview-среды, доступные …
🚀 Django 6.1 вышел: меньше магии, больше контроля Новая версия Django приносит улучшения для production-приложений и работы с базой данных. Главное новшество — новый подход к загрузке данных моделей. Теперь можно контролировать, когда Django делает дополнительные запросы: from django.db import models books = Book.objects.fetch_mode( models.FETCH_PEERS ) Это помогает бороться с проблемой N+1 запросов и луч…
⚡️ django-orjson ускоряет работу Django с JSON Adam Johnson выпустил библиотеку django-orjson с готовыми заменами стандартных JSON-компонентов Django и Django REST Framework. В основе лежит написанный на Rust orjson: - сериализация до 10 раз быстрее; - десериализация примерно в 2 раза быстрее. Поддерживаются: - JsonResponse и тестовый клиент; - json_script; - сериализаторы, сессии и signing; - компоненты Django …
Wagtail как Django admin на стероидах Хороший разбор для Django-разработчиков: Wagtail можно использовать не только как CMS, но и как более удобную админку для обычных Django-моделей. Смысл простой: Django admin быстро даёт UI вокруг моделей, но кастомизация часто превращается в боль. Wagtail даёт более современный интерфейс, нормальную работу с полями, группировку через panels, роли, permissions, rich text, media …
Вышел Django 6.0. Релиз получился не про косметику, а про вещи, которые давно просились в core. Главное - встроенная поддержка Content Security Policy. Теперь CSP можно настраивать прямо в Django через middleware, context processor и настройки SECURE_CSP / SECURE_CSP_REPORT_ONLY. Это упрощает защиту от XSS и content injection без отдельного пакета. Второе важное изменение - template partials. В шаблонах появилис…
🖥 GitHub Pages можно пересобрать почти на голом Python. Автор показал, как сделать лёгкую платформу для хостинга статических сайтов без фреймворков и тяжёлой инфраструктуры. Только стандартная библиотека Python. Идея простая: • http.server отдаёт статические файлы • небольшой Python-код добавляет логику деплоя • автоматизация обновляет сайт после изменений • HTTPS можно прикрутить без отдельного большого стека …
🐍 Python Roadmap 2026: наконец-то полноценная актуальная карта изучения Python, а не список ссылок «разберись сам» На GitHub выложили большой русскоязычный роадмап по Python на 2026 год - от первых скриптов до уровня Middle+/Senior. Маршрут собран под современный Python: - Python 3.13+ - free-threaded mode без GIL - JIT - uv вместо боли с pip/venv/poetry - ruff, pyright, pytest, hypothesis - async-first подход - …
🐍 Полезный Django-совет Если вы работаете с Django ORM и выбираете связанные объекты, не делайте лишние запросы к базе. Частая ошибка: for post in Post.objects.all(): print(post.author.name) Если у вас 100 постов — Django сделает 101 SQL-запрос (1 для постов + 100 для авторов). Это называется N+1 проблема. Исправляется одной строкой: posts = Post.objects.select_related("author") for post in posts: p…
✔️ Лови полезный Django-совет, который спасает продакшен чаще, чем кажется. Никогда не делай тяжёлую логику в Django views. Новички часто пихают всё прямо во view: - бизнес-логику - валидацию - расчёты - работу с БД - интеграции В итоге получается "божественная функция" на 200 строк, которую невозможно тестировать и поддерживать. Правильный подход — разделять слои: - View — только принимает запрос и отдаёт отве…
Идеальный старт для проекта Django: конфигурация окружения. Сохрани себе идеальный шаблон virtual environment и основных настроек для каждого нового проекта Django. Это упростит процесс настройки окружения и позволит избежать распространенных ошибок. # Создание виртуального окружения python3 -m venv venv # Активация виртуального окружения source venv/bin/activate # Установка основных зависимостей pip install dja…
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Showing the 12 most recent of 22 posts we hold for @Django_pythonl. 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 — 1,231,371 of 1,584,142entries 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.
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.
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.
@Django_pythonl named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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.
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.
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 20 August 2026 — this entry's latest reading, not the date you are reading this.
“Django Python” (@Django_pythonl), 6,620 subscribers as measured 20 August 2026. Telegram Register, tgregister.com/channel/Django_pythonl.
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.