Channel
@djangoex
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
9,751subscribers
+2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001356653634 |
|---|---|
| Type | Channel |
| Username | @djangoex |
| Description | ✔️ بزرگترین کانال و جامعه جنگو به فارسی Contact: @majid_aghamohamad @BobyCloud Group: @DjangoIR Our Site ;coming soon: 🔜 PyExpert.ir تبلیغات نداریم فقط درج آگهی های استخدامی مرتبط پذیرفته میشود |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 2 times, most recently 10 August 2026 |
| On Telegram | t.me/djangoex |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 05:12 | 9,751 | +2 |
| 6 Aug 2026, 12:15 | 9,749 | first reading |
20 posts held, back to 31 December 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 15 pagesof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 16 June 2026. An engagement rate over an empty window would be a number about nothing.
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. 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.
772 reactions across 20 posts, in 11 distinct kinds. The most used accounts for 54.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 418 | 54.1% | |
| 👎 | 258 | 33.4% | |
| 👍 | 55 | 7.12% | |
| 👏 | 14 | 1.81% | |
| 🤣 | 13 | 1.68% | |
| 🔥 | 4 | 0.518% | |
| 😁 | 3 | 0.389% | |
| ❤🔥 | 2 | 0.259% | |
| 💔 | 2 | 0.259% | |
| 🥰 | 2 | 0.259% | |
| 😐 | 1 | 0.13% |
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 20 of the 20 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 772reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 31 December 2025 to 16 June 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.
زهرا جز بهترین اساتیدی که زبان رو به برنامه نویس ها به زبون خودشون و مورد نیازشون برای کار یاد میده توی جنگ کانالش رو استارت زد و چون ما محدودیت فعالیت داشتیم تا الان نتونستم بهتون معرفی اش کنم مگر نه زودتر باید بهتون پیشنهادش میدادم
❤26
Signed Majid A.M
چطور مثل یک دولوپر سینیور، «محدودیتهای فنی» و «اجبارهای پروژه» رو به انگلیسی حرفهای بیان کنیم؟ توی برنامهنویسی، خیلی وقتها تصمیم دست ما نیست؛ محدودیت از زبان، کامپایلر، معماری یا ددلاین میاد. ✅ اینجاست که ساختار have to خیلی به کار میاد. have to یعنی: «مجبوریم این کار رو انجام بدیم، چون یه محدودیت بیرونی وجود داره.» مثلاً: ❌ We want to refactor this module. ✅ We have to refactor this module first. برای اینک…
❤22
Signed Majid A.M
استفاده از Object Storage در جنگو توی این ویدیو اول از تاریخچه و علت نیاز به Object Storage صحبت کردیم و درنهایت پروژهمون رو به Garage که یک S3-Compatible هست متصل و فایل آپلود و دانلود کردیم. مشاهد ویدیو در: https://youtu.be/j8a0ASphOrk و https://www.aparat.com/v/wxky0b2 سورسکد: https://github.com/mthri/garage-s3-django-tutorial پروژه Garage: https://github.com/deuxfleurs-org/garage پ.ن: دلم براتون تنگ شده بود…
❤22👍2🤣2
Signed Amir Motahari
سلام دوستان 👋 بکاند دولوپر هستم با حدود ۳ سال سابقهی کاری توی Python، Django، DRF و FastAPI. این چند سال روی پروژههای واقعی و چالشبرانگیزی کار کردم، از پلتفرم مالی طلا گرفته تا پلتفرم تولید محتوای AI با معماری میکروسرویس و سیستمهای پرداخت. الان دنبال محیطی هستم که بتونم تجربهام رو عمیقتر کنم و کنار تیمی حرفهای رشد کنم. استک و تجربههای اصلی من : 🔹 طراحی RESTful API و معماری Clean / DDD 🔹 سیستمهای توزیعشد…
❤30👍8👏4🤣1
Signed Majid A.M
سلام وقت بخیر امیدوارم که خوب باشید من بک اند دولوپر پایتون/جنگو هستم لینک گیت هاب، لینک پروژه ها و معرفی من داخل رزومه هستش اگر نیاز به نیرویی با این مشخصات داشتید خوشحال میشم که با تیمتون همکاری داشته باشم🙏🏻 ™️ @DjangoIR 〰️〰️〰️〰️〰️〰️ © @DjangoEx
❤37👏9❤🔥2🔥2🤣1
Signed Majid A.M
خوش برگشتید امیدوارم حال همه اتون خوب باشه گروه در دسترس قرار گرفت ™️ @DjangoIR 〰️〰️〰️〰️〰️〰️ © @DjangoEx
❤20👎2🤣1
Signed Majid A.M
قسمت ۳ - PostgreSQL توی این قسمت اتصال برنامه به دیتابیس PostgreSQL را توضیح دادیم و چند دستور docker compose را هم مرور کردیم. https://youtu.be/Mz1-s95HvRI ™️ @DjangoIR 〰️〰️〰️〰️〰️〰️ © @DjangoEx [@mthri_tips]
❤13👎1
Signed Amir Motahari
قسمت ۲ - داکر: سلام دنیا! توی این ویدیو یک پروژه ساده ایجاد کردیم و در نهایت با استفاده از داکر محیط توسعه رو از لوکال به داخل کانتینر منتقل کردیم، یعنی لازم نیست برای هر تغییر ایمیج داکر رو مجدد بیلد بگیرید! تغییرات در لحظه اعمال میشن و میتونیم خروجی رو ببینیم. مزیتش چیه؟ توی ویدیو توضیح دادم https://youtu.be/iVMj5n3KZsg ™️ @DjangoIR 〰️〰️〰️〰️〰️〰️ © @DjangoEx [@mthri_tips]
❤19👍1
Signed Amir Motahari
پروژه LLVM چی هست و چطوری کار میکنه؟ توی این ویدیو اول در مورد معماری سه لایه این پروژه توضیح دادم بعد یک کد زبان C رو به LLVM IR تبدیل کردیم و در نهایت این کد رو به صورت Shared Object و JIT توی پایتون اجرا کردیم https://www.youtube.com/watch?v=kKavD3Qv1gU ™️ @DjangoIR 〰️〰️〰️〰️〰️〰️ © @DjangoEx [@mthri_tips]
❤11👎3
Signed Amir Motahari
قسمت ۱ - آماده سازی محیط توی این ویدیو درباره ترمینال، نسخه مورد نیاز پایتون، text editor و git صحبت کردیم ویدیو(۵ دقیقه): https://youtu.be/JEN_WN6MLk0 ™️ @DjangoIR 〰️〰️〰️〰️〰️〰️ © @DjangoEx [@mthri_tips]
❤16🔥2🤣2👎1
Signed Amir Motahari
دوره آموزشی کتاب جنگو برای حرفهای ها! توی این دوره قرار هست نسخه ۴ کتاب Django for Professionals رو فصل به فصل جلو بریم. + این دوره به درد چه افرادی میخوره؟ - اون هایی که با جنگو آشنا هستن اگر خدا بخواد، به شرط حیات و انار هر چهارشنبه ساعت ۱۹ قسمت جدید منتشر میشه :) ویدیو معرفی(۳ دقیقه): https://youtu.be/oaDv71Ee5rc ™️ @DjangoIR 〰️〰️〰️〰️〰️〰️ © @DjangoEx [@mthri_tips]
❤42👎6👍3🥰2👏1
Signed Amir Motahari
من در تلاش ام که اگهی های پایتون و جنگوی کامینیوتی فارسی رو یک جا جمع کنم خوشحال میشم شماهم بهمون کمک کنید https://www.linkedin.com/feed/update/urn:li:activity:7426162977172602882?utm_source=share&utm_medium=member_desktop&rcm=ACoAACpxEQ0B_xkunROLK1795dfHq-pdc1zNTTE ™️ @DjangoIR 〰️〰️〰️〰️〰️〰️ © @DjangoEx
❤44😁3👎2
Signed Majid A.M
Showing the 12 most recent of 20 posts we hold for @djangoex. 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 — 194,396 of 1,160,990entries 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.
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.
Named by 4 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.
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.
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 7 August 2026 — this entry's latest reading, not the date you are reading this.
“Django Expert” (@djangoex), 9,751 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/djangoex.
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.