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Channel

جنگولرن

@djangolearn_ir

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

4,335subscribers

+34 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001463162815
TypeChannel
Username@djangolearn_ir
CreatedBetween 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/djangolearn_ir

Growth

4,3014,3354,3187 August 2026 — 4,301 subscribers7 August 2026 — 4,301 subscribers8 August 2026 — 4,305 subscribers11 August 2026 — 4,326 subscribers14 August 2026 — 4,335 subscribers7 August 202614 August 2026
5 measurements spanning 7 days, net +34. 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 4,296–4,340 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 19:564,335+9
11 Aug 2026, 17:024,326+21
8 Aug 2026, 07:044,305+4
7 Aug 2026, 14:024,301no change
7 Aug 2026, 13:484,301first reading

Engagement

20 posts held, back to 17 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
25.8%
avg views ÷ 4,335 subscribers
Avg views / post
1,120
19 posts measured
Reaction rate
0.681%
reactions ÷ views · ER floor
Posts in window
19
of 20 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 7 August 2026
Posts held20 (17 July 20267 August 2026)
Views total21,290
Reactions total145
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 11:50 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

Video runtime
9m 02s
Average length
9m 02s

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.

Reaction mix

150 reactions across 20 posts, in 12 distinct kinds. The most used accounts for 22.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3422.7%
👍3322.0%
🙏2013.3%
👌1711.3%
😱138.67%
😐128.00%
🔥74.67%
👎53.33%
😁53.33%
21.33%
😡10.667%
🤔10.667%

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 150reactions 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 17 July 2026 to 7 August 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

7 Aug 2026, 06:51 UTC372 views4 reactionsread 8 August 2026
Photo

فایل .gitattributes در گیت ممکنه پیش بیاد یه پروژه رو کلون کنیم، بعد ببینیم یه سری فایل EOL (End Of Line) عجیب‌غریب باز می‌شن یا وقتی diff می‌گیریم پر از تغییرات بی‌ربطه. توی این موقعیت فایل .gitattributes می‌تونه کمک‌مون کنه. فرض کنید توی یه تیمی کار می‌کنیم که اعضاش رو ویندوز، مک و لینوکس هستن. هر کی با ادیتور و تنظیمات خودش. حالا یه نفر یه فایل .bat می‌نویسه که رو ویندوز باید با CRLF باشه، ولی یکی دیگه با LF کام

👌4

3 Aug 2026, 21:29 UTC804 views21 reactionsread 8 August 2026
Photo

عکسم رو دادم به این https://chat.qwen.ai . گفتم کاملش کن یه افکت هم بهش بده. عکس اصلیم سمت چپه

😱13👍7😁1

3 Aug 2026, 21:03 UTC775 views2 reactionsread 8 August 2026
Forwarded from @codehalicsPhoto

تو این مقاله دارن توضیح می‌دن که گوگل چطور با کمک هوش مصنوعی و مدل‌های زبانی بزرگ امنیت کروم رو متحول کرده و تیم امنیتیشون تعریف می‌کنه که الان پروسه شناسایی، بررسی اولیه و رفع باگ‌ها تو مقیاس خیلی بزرگ کاملا خودکار شده. نویسنده‌ها اشاره می‌کنن که با اضافه شدن ایجنت‌های هوش مصنوعی پیدا کردن باگ‌های پیچیده خیلی سریع‌تر شده و سیستم خودش باگ‌ها رو فیلتر و بازتولید می‌کنه که نتیجش رفع بیشتر از هزار آسیب‌پذیری تو نسخه‌های

🔥2

3 Aug 2026, 08:58 UTC886 views5 reactionsread 8 August 2026

اینو امتحان کنید https://coder.qwen.ai/ چت هم البته داره https://chat.qwen.ai/ توی اولین درخواستی که ازش داشتم خیلی فهمیده بود. ویرایش: حرفمو پس میگیرم، یکم خنگه

4😁1

2 Aug 2026, 17:55 UTC848 views5 reactionsread 8 August 2026
Forwarded from @learning_with_m

سلام، چند تا دلیل هست برای خوشحالیم که یکیش گذر از ۲۱۰۰ نفر دوست و همکاره که اینجا دور هم جمع شدیم. برای همین یک سری ویدیو جدید توی کانال قراره شروع کنم. این شما و این : Learn it from a pro ! حالا این سری چیه؟ از قدیم گفتن : آزموده را آزمودن خطاست. حتمی شده که بخواید یه کاری رو انجام بدید و ندونید بهترین روشش چیه یا چطوری باید انجام بشه که بهینه باشه؟ گاهی مهم میشه که چطوری یه حرفه‌ای اونو انجام میده. کلی می‌

5

1 Aug 2026, 15:19 UTC815 views5 reactionsread 8 August 2026
Photo

جلسه 20 - وبینار رایگان جنگو موضوع: نمایش لیست گروه ها لینک ویدئو: https://www.aparat.com/v/jwb68i3 توی این ویدئو، اول در مورد as_p توضیح دادم، بعدش ویو جدید ساختم و لیست گروه هارو نمایش دادم. در انتهای ویدئو، تغییراتی به فرم ذخیره گروه دادم، تا بعد از ذخیره موفق، ریدایرکت بشه به لیست گروه ها جنگولرن اینجاهاس https://takl.ink/djangolearn

4🔥1

31 Jul 2026, 16:29 UTC≈1,030 views10 reactionsread 8 August 2026

غیر جنگو وقتی share screen می کنید. یا باید یه پنجره خاصی رو انتخاب کنید یا تب خاصی رو، یا Entire Screen. موشکلی که من با Entire screen دارم، اینه که رزولوشن سیستمم بالاست و دانش آموزام اذیت میشن، یا اینترنت شون جواب نمیده. معمولا رزولوشن سیستمم رو پایین میاوردم. امروز یه نرم افزار اوپن سورس پیدا کردم به اسم RegionToShare که 300 کیلوبایته از اسمش مشخصه دیگه 😁 اینم لینکش: https://github.com/tom-englert/RegionToSha

👍7🙏3

28 Jul 2026, 21:08 UTC≈1,390 views6 reactionsread 8 August 2026

یه ویدئو خوب در مورد سه تا الگوریتم اولویت بندی توی سیستم عامل الگوریتم های FIFO و SJF و Round Robin توی این ویدئو هیچ کدی نوشته نمیشه. حدودا 18 دقیقه اس https://youtu.be/vIPW_JwV_jQ?si=k2wOnF-lJPy9cnNm

🙏41👍1

25 Jul 2026, 07:49 UTC≈1,880 views8 reactionsread 8 August 2026
Photo

نکته frozen=True کتاب Fluent Python توی این کد که از صفحه 347 کتابه، frozen=True باعث میشه که نمونه های کلاس غیر قابل تغییر یا (immutable) بشن. من همش immutable رو با mutable قاطی میکنم. یکی بگه چطوری اینو برعکس نگم 🤣 حالا کد باعث میشه فیلد های cart, customer, promotion بعد از ساخت آبجکت از این کلاس دیگه تغییر نکنن. توی این مثال باعث میشه که سفارش ثابت بمونه. تایتل این صفحه مفهوم Function-Oriented Strategy بود.

2👍2🙏21🤔1

24 Jul 2026, 13:06 UTC≈1,720 views19 reactionsread 8 August 2026
Video

این اپ رو برای مدیریت زمان پروژه هام ساختم. خواستم فیچر بهش اضافه کنم و خوشگلش کنم، گفتم قبلش یه سرچ بزنم شاید یکی دیگه ساخته باشه. که بله، قبلا ManicTime رو ساختن و خیلی هم خفناکه به هر حال، لینک پروژه خودم توی گیتهاب. https://github.com/miladhzz/ActiveCounter داشتم بازی انگلیس و فرانسه رو میدیدم، همزمان میگفتم به ai که چکار کنه. ولی گفتم به ظاهرش دست نزن 🤣

😐124🙏2😁1

24 Jul 2026, 09:55 UTC≈1,330 views4 reactionsread 8 August 2026
Forwarded from @learning_with_mPhoto

مدیر عامل انویدیا، جنسن هوانگ، گفته که هوش مصنوعی قرار نیست شغل ها رو اتومیت کنه. ایشون گفتند که این نگرانی بی معنیه، چون #AI قراره وضایف رو اتومیت کنه، نه شغل ها رو. اول که واقعا درود به این نوع نگاه و بیان. دوم بیایم ببینیم چی میگه. خیلی توی گروه من گفتم (اینجا و اینجا و...) که قرار نیست ما جایگزین بشیم، ابزارمون بهتر داره میشه. استاد هم همینو میگه. منظورش تو کار ما میشه این که، تا چند سال پیش بهت میگفتن فلان ماژ

👌2🔥1🙏1

24 Jul 2026, 07:02 UTC≈1,060 views10 reactionsread 8 August 2026

قبلاً اینکه بدونی یه تکنولوژی یا یه قابلیت چجوری کار می‌کنه یه مزیت بود. همین که کدت کار می‌کرد هم معمولاً کافی بود. ولی الان این دیگه مزیت نیست، حداقل انتظاره. بازار دیگه به کسی که فقط کدی بنویسه که کار کنه نیاز نداره. به کسی نیاز داره که بفهمه چرا این کد کار می‌کنه، زیر پوستش چه خبره، کجاها ممکنه به مشکل بخوره و چرا این راه‌حل رو انتخاب کرده نه یه راه‌حل دیگه. پس دیپ بشید. بیزنس رو بفهمید. مزایا، معایب و trade-o

👌52👍2🙏1

Showing the 12 most recent of 20 posts we hold for @djangolearn_ir. 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 — 154,283 of 1,481,243entries 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.

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

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.

جادی | Jadi
@jadivarlog · 100,586
Telegram ranks this channel #44 of 94 here — alongside 93 others — read 15 August 2026
Python Forever
@PythonForever · 129,947
Telegram ranks this channel #69 of 76 here — alongside 75 others — read 13 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“جنگولرن” (@djangolearn_ir), 4,335 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/djangolearn_ir.

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.