Telegram RegisterThe public register of Telegram
Telegram profile photo for DLeX: AI Python

Channel

DLeX: AI Python

@ai_python

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

21,397subscribers

-44 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001108987859
TypeChannel
Username@ai_python
Descriptionهوش‌مصنوعی و برنامه‌نویسی توییتر : https://twitter.com/NaviDDariya تا آزادی ایران از جمهوری اسلامی تبهکار، تبلیغات نداریم.
Created7 February 2017 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live25 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/ai_python

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 80% 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

21,39721,45521,4266 August 2026 — 21,441 subscribers6 August 2026 — 21,441 subscribers6 August 2026 — 21,440 subscribers7 August 2026 — 21,443 subscribers8 August 2026 — 21,446 subscribers9 August 2026 — 21,452 subscribers10 August 2026 — 21,450 subscribers11 August 2026 — 21,455 subscribers12 August 2026 — 21,452 subscribers14 August 2026 — 21,453 subscribers16 August 2026 — 21,448 subscribers17 August 2026 — 21,446 subscribers18 August 2026 — 21,445 subscribers19 August 2026 — 21,442 subscribers20 August 2026 — 21,437 subscribers21 August 2026 — 21,436 subscribers23 August 2026 — 21,441 subscribers25 August 2026 — 21,438 subscribers26 August 2026 — 21,436 subscribers26 August 2026 — 21,429 subscribers27 August 2026 — 21,427 subscribers28 August 2026 — 21,429 subscribers30 August 2026 — 21,432 subscribers30 August 2026 — 21,430 subscribers1 September 2026 — 21,429 subscribers2 September 2026 — 21,432 subscribers3 September 2026 — 21,436 subscribers5 September 2026 — 21,440 subscribers8 September 2026 — 21,432 subscribers11 September 2026 — 21,422 subscribers13 September 2026 — 21,416 subscribers16 September 2026 — 21,414 subscribers19 September 2026 — 21,404 subscribers25 September 2026 — 21,397 subscribers6 August 202625 September 2026
34 measurements spanning 50 days, net -44. 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 21,388–21,464 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
25 Sept 2026, 12:1721,397-7
19 Sept 2026, 02:4221,404-10
16 Sept 2026, 17:3921,414-2
13 Sept 2026, 05:3621,416-6
11 Sept 2026, 08:5921,422-10
8 Sept 2026, 15:5621,432-8
5 Sept 2026, 06:3821,440+4
3 Sept 2026, 11:4021,436+4
2 Sept 2026, 05:4621,432+3
1 Sept 2026, 02:3421,429-1
30 Aug 2026, 22:3421,430-2
30 Aug 2026, 00:3321,432+3
28 Aug 2026, 21:4821,429+2
27 Aug 2026, 22:1321,427-2
26 Aug 2026, 23:2521,429-7
26 Aug 2026, 02:2421,436-2
25 Aug 2026, 01:4821,438-3
23 Aug 2026, 14:2621,441+5
21 Aug 2026, 21:5721,436-1
20 Aug 2026, 14:3521,437first reading

Engagement

66 posts held, back to 21 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 59 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.00%
avg views ÷ 21,397 subscribers
Avg views / post
1,500
22 posts measured
Reaction rate
0.665%
reactions ÷ views · ER floor
Posts in window
22
of 66 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 26 September 2026
Posts held66 (21 July 2026 – 26 September 2026)
Views total32,934
Reactions total219
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 04:43 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
≈5,230
Videos
≈1,260
Links
≈4,720

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.

Video runtime
4m 47s
Average length
57s

Measured directly from 5 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.

Reaction mix

685 reactions across 66 posts, in 6 distinct kinds. The most used accounts for 41.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤28441.5%
👍18126.4%
❤‍🔥17325.3%
🐳405.84%
😭40.584%
💔30.438%

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 66 of the 66 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 685 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 66 most recent posts we hold, published 21 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.

Telegram Stars

Stars received
80
across the posts below
Posts paid on
59
of 66 we hold a reading for · 89%
Most on one post
4
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ai_python. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 66 most recent posts we hold for this entry, published 21 July 2026 to 26 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

26 Sept 2026, 22:45 UTC281 views4 reactions1 Starread 27 September 2026
Forwarded from @mazdaahikPhoto

👇👇👇👇

❤2❤‍🔥1😭1

Signed NaviD DariYa

26 Sept 2026, 22:45 UTC293 views5 reactionsread 27 September 2026
Forwarded from @mazdaahikFile

📘 جبر خطی با گیلبرت استرنگ جلسهٔ اول درس 18.06 دانشگاه MIT از تقاطع خط‌ها و صفحه‌ها تا ترکیب خطی بردارها؛ در این جلسه، معنای هندسی دستگاه‌های معادلات خطی و ضرب ماتریس در بردار را بررسی می‌کنیم. 📎 همراه با جزوهٔ فارسی و شکل‌های آموزشی ترجمه و تنظیم: گروه ریاضی مزداهیک @mazdaahik #جبر_خطی #گیلبرت_استرنگ #MIT

❤3👍1💔1

Signed NaviD DariYa

26 Sept 2026, 10:13 UTC628 views3 reactionsread 27 September 2026
Video

👉 @ai_python 🦁 ☀️

❤1❤‍🔥1👍1

Signed NaviD DariYa

26 Sept 2026, 09:12 UTC706 views6 reactions1 Starread 27 September 2026
Photo

تازه های Railway در هفته ای که گذشت 👉 @ai_python 🦁 ☀️ https://railway.com/changelog/2026-09-25-free-vms-without-an-account

❤2❤‍🔥2👍2

Signed NaviD DariYa

25 Sept 2026, 22:38 UTC756 views7 reactions1 Starread 27 September 2026
Photo

👉 @ai_python 🦁 ☀️ https://lnkd.in/p/dC3kS5sS

❤3❤‍🔥2👍2

Signed NaviD DariYa

25 Sept 2026, 17:08 UTC969 views12 reactions1 Starread 27 September 2026
Photo

ای بهرام که گور می گرفتی همه عمر دیدی که چگونه گور بهرام گرفت؟ (مطمئن نیستم شعرش این شکلی بود؟) 👉 @ai_python 🦁 ☀️ اما 4 ساعت پیش جناب ساتیا نادلا از مدل جدید Copilot پرده برداشتند که ایده شون اینه که چرا Copilot توی ورد و اکسل و اینا باشه؟ به جاش کوپایلوت به عنوان یک سیستم عامل درون خودش ورد و اکسل و اینا داشته باشه. و حتی فضای کدنویسی که کدهاش در Tenant سازمان ذخیره می شه. خلاصه این گونه. Link

❤5❤‍🔥3👍3🐳1

Signed NaviD DariYa

25 Sept 2026, 10:28 UTC941 views9 reactionsread 27 September 2026
Forwarded from @DocPythonPhoto

👗📱 گوگل فوتوز به کمد لباس هوشمند مجهز شد! گوگل قابلیت Wardrobe را برای کاربران iOS و اندروید منتشر کرده؛ قابلیتی که با کمک هوش مصنوعی، لباس‌ها و اکسسوری‌های موجود در عکس‌های شما را شناسایی می‌کند و به یک کمد لباس مجازی تبدیل می‌کند. 🧥✨ حالا می‌توانید آیتم‌های مختلف را دسته‌بندی کنید و با ترکیب آن‌ها، استایل‌های متفاوت بسازید. اما آپدیت‌های گوگل فوتوز به همین‌جا ختم نمی‌شود: 🔹 Redact: محوکردن اطلاعات حساس در تصاوی…

❤4❤‍🔥3🐳2

Signed NaviD DariYa

24 Sept 2026, 22:14 UTC≈1,030 views7 reactionsread 27 September 2026
Photo

👉 @ai_python 🦁 ☀️ https://azure.microsoft.com/en-us/blog/ship-agents-faster-with-expanded-model-choice-voice-agents-and-continuous-optimization/

❤3❤‍🔥2🐳2

Signed NaviD DariYa

23 Sept 2026, 22:09 UTC≈2,850 views7 reactions2 Starsread 27 September 2026
Photo

دیروز شورای ملی اتریش (Nationalrat) اجازه استفاده از چت بات های متصل به هوش مصنوعی توسط ادارات دولتی برای ارائه درخواست ها از طریق گفت و گو با هوش مصنوعی به جای پر کردن مستقیم فرم های اداری را تصویب کرد. 👉 @ai_python 🦁 ☀️ البته سبزها و FPÖ مخالف این تصمیم بودند. حالا شورای فدرال یا همون Bundesrat به مدت 8 هفته فرصت دارد که آن را وتو کند و اگر این کار صورت نپذیرد به امضای رئیس جمهور می رسد و اداره ها به صورت محدود ب…

❤3❤‍🔥2👍2

Signed NaviD DariYa

23 Sept 2026, 09:21 UTC≈1,360 views11 reactions1 Starread 27 September 2026

خیلی وقت پیش در یک پست دیگه توضیح داده بودیم که در اکوسیستم مایکروسافت چند راه برای ساخت Agent وجود داره. مثلن Copilot Studio یا Microsoft Foundry 👉 @ai_python 🦁 ☀️ ولی یکی از راه های در دسترس که کاربران معمولی هم می تونن ازش استفاده کنن و خودشون برای خودشون ایجنت بسازن، Agent Builder هست. که در این ویدیو نحوه استفاده ازش رو به بهترین شکل می تونید ببینید : 👉 @ai_python 🦁 ☀️ https://youtu.be/dlS2meHJWAk?si=rOdZ3Z…

❤7❤‍🔥2👍2

Signed NaviD DariYa

22 Sept 2026, 22:23 UTC≈1,390 views8 reactionsread 27 September 2026

به نظرم Cost Management هم خیلی راحت تر شده.

❤4❤‍🔥2👍2

Signed NaviD DariYa

22 Sept 2026, 22:22 UTC≈1,350 views9 reactionsread 27 September 2026

یکی از قابلیت های جدید این بود که می تونید Shadow AI ها مثل Open Claw رو توی Intune برای سازمان غیر فعال کنید. که کسی نتونه استفاده کنه.

❤5❤‍🔥2👍2

Signed NaviD DariYa

Showing the 12 most recent of 66 posts we hold for @ai_python. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Forward network

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 10 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.

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.

Meysam
@ai_person · 3,603
#1
DeepMind AI Expert
@AI_DeepMind · 15,686
#2
School of AI
@schoolofai · 11,178
#3
دستاوردهای یادگیری عمیق(InTec)
@pytens · 9,875
#4
Tensorflow(@CVision)
@cvision · 15,132
#5
DevTwitter | توییت برنامه نویسی
@devtwitter · 32,186
#6
Python BackendHub
@PyBackEndHub · 8,282
#7
هوش مصنوعی |یادگیری ماشین| علم داده
@Ai_Tv · 26,564
#8
Recommender system
@Recomendersystem2023 · 4,615
#9
Deep Time
@deeptimeai · 3,847
#10
Rust for Python developers
@pyrust · 2,603
#11
رویدادهای هوش مصنوعی
@eventai · 10,613
#12
Silicon Brain | جامعه هوش مصنوعی
@silicon_brain · 7,714
#13
مجله هوش مصنوعی
@HomeAI · 32,815
#14
Ai Events️
@AI_Events · 5,887
#15
CleverDevs
@CleverDevs · 10,836
#16
🐍 Python & Raspberry 🐍
@raspberry_python · 7,355
#17
Data Science | علم داده
@DataScience_ir · 50,249
#18
زندگی به عنوان سرویس
@lifeAsAService · 3,852
#19
AI Agents | Howsam
@pytorch_howsam · 3,611
#20
Sharif CE Job 💻
@CE_Job · 9,488
#21
Machine learning application (Kartal)
@Machinelearning_Kartal · 2,718
#22
آقای هوش مصنوعی
@MrArtificialintelligence · 20,734
#23
سید فرندز / برنامه نویسی / هک و امنیت / تکنولوژی / سید محمد خشنوا
@seyed_bax · 12,448
#24
Ali's Notes
@css_nlp · 1,059
#25
@machinelearningnet
@machinelearningnet2 · 3,295
#26
Quera
@quera_ir · 25,521
#27
کتابخانه مهندسی کامپیوتر و پایتون
@programmers_street · 30,957
#28
OpenCV | Python
@OpenCV_olc · 9,877
#29
Reza Jafari
@reza_jafari_ai · 8,771
#30
Machine Learning | یادگیری ماشین
@MachineLearning_ir · 34,592
#31
Dev Tweet
@tweetdev · 968
#32
ابزارها و کاربردهای هوش مصنوعی
@DocPython · 4,869
#33
TechTube 𝕏 تک توب
@TechTube · 80,969
#34
Pythonism
@Pythonism_Xl · 2,058
#35
Data world with Mina
@datalook_ir · 4,146
#36
CE 401 Grad News
@sutcse · 3,341
#37
Positions in Computer Science
@cspositions · 8,986
#38
هوش مصنوعی و علم داده به فارسی
@DataPlusScience · 6,056
#39
شبکه داستانی عصبی
@NeuralFictionalNet · 816
#40
Syntax | سینتکس
@Syntax_fa · 3,236
#41
نوشته‌های ترمینالی
@terminal_stuff · 3,498
#42
مرجع دیتاست فارسی
@persian_data · 3,261
#43
Golem Course
@golemcourse · 2,803
#44
AI with Parissan 🤖🦾
@AIwithParissan · 1,702
#45
پایتون | Data Science | Machine Learning
@Python4all_pro · 24,327
#46
Rayan AI Course
@Rayan_AI_Course · 2,421
#47
فیلاگر|جامعه هوش مصنوعی ایران
@filoger_com · 4,755
#48
محمد لرنینگ (آموزش برنامه نویسی)
@makedeveloper · 2,825
#49
Quera Talent | استخدام برنامه‌نویسان
@quera_talent · 11,522
#50
Algorithm design & data structureچ
@AlgorithmDesign_DataStructuer · 6,472
#51
دیتاهاب
@data_hub_ir · 2,113
#52
PhiloLearn | فیلولرن
@Philolearn · 1,475
#53
آموزش برنامه نویسی و هوش‌مصنوعی | Max academy
@max_academy · 70,235
#54
Python Forever
@PythonForever · 130,985
#55
آکادمی ربوتک
@robotech_academy · 4,024
#56
AI, Python, Cognitive Neuroscience
@ai_python_en · 3,465
#57
ITShield
@itshield · 15,644
#58
ویکی تجربه - استخدام و بررسی شرکت ها
@wiki_tajrobe · 82,561
#59
arXiv
@ai_python_arxiv · 1,581
#60
SecCode
@seccode · 11,226
#61
ApplyKite
@ApplyIR2UK · 38,126
#62
اخبار هوش مصنوعی
@Ai_NewsTv · 27,479
#63
Security Analysis
@securation · 12,289
#64
مهندسی داده ها
@agentschoolir · 6,994
#65
Python Hints
@pyHints · 10,115
#66
جادی | Jadi
@jadivarlog · 103,048
#67
Django Expert
@djangoex · 9,854
#68
Sadra Codes
@lnxpylnxpy · 4,144
#69
Linuxor ?
@Linuxor · 31,557
#70
Geek Alerts
@geekalerts · 19,110
#71
‌BenDev
@BenDevelop · 2,961
#72
Programming Resources
@pythony · 19,832
#73
Gopher Academy
@gopher_academy · 3,842
#74
جنگولرن
@djangolearn_ir · 4,438
#75
VPN CLUB
@wbnet · 229,099
#76
Yasha
@Y45ha · 4,111
#77
Seyed Mahdi Notes
@seyedmahdidiary · 2,495
#78
SUT Twitter
@sut_tw · 90,531
#79
Digiato | دیجیاتو
@Digiato · 113,726
#80
Zoomit | زومیت
@thezoomit · 131,342
#81
کالی بویز | ترفند | تکنولوژی
@Kaliboys · 28,748
#82
Go Casts 🚀
@gocasts · 8,785
#83
Milad Nouri(ツ) میلاد نوری
@miladnourichannel · 27,338
#84
PGTWEET | توییت برنامه نویسی
@pgtweet · 3,843
#85
Morteza Bashsiz مرتضی باشسیز
@MortezaBashsiz · 16,144
#86
سیلیسیم
@siliciumir · 2,730
#87
Out of Distribution
@out_of_distribution · 2,838
#88
linuxtnt(Tips and Tricks)
@linuxtnt · 6,943
#89
Microfrontend.ir
@microfrontend_ir · 1,355
#90
IRCF | اینترنت آزاد برای همه
@ircfspace · 96,110
#91
Job Offer‌ With me 🎉💪
@get_joboffer · 19,331
#92
Café SSC
@cafe_ssc · 3,547
#93
Programmer Jokes
@programmerjokes · 106,959
#94

Read from Telegram’s recommendation API, most recently 23 September 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.

مجله هوش مصنوعی
@HomeAI · 32,815
Telegram ranks this channel #3 of 91 here — alongside 90 others — read 5 September 2026
هوش مصنوعی |یادگیری ماشین| علم داده
@Ai_Tv · 26,564
Telegram ranks this channel #4 of 94 here — alongside 93 others — read 12 September 2026
کتابخانه مهندسی کامپیوتر و پایتون
@programmers_street · 30,957
Telegram ranks this channel #5 of 87 here — alongside 86 others — read 6 September 2026
آقای هوش مصنوعی
@MrArtificialintelligence · 20,734
Telegram ranks this channel #8 of 94 here — alongside 93 others — read 26 September 2026
Machine Learning | یادگیری ماشین
@MachineLearning_ir · 34,592
Telegram ranks this channel #8 of 90 here — alongside 89 others — read 3 September 2026
Data Science | علم داده
@DataScience_ir · 50,249
Telegram ranks this channel #8 of 92 here — alongside 91 others — read 25 August 2026
Learn Python
@learnpy · 21,523
Telegram ranks this channel #10 of 90 here — alongside 89 others — read 23 September 2026
پایتون | Data Science | Machine Learning
@Python4all_pro · 24,327
Telegram ranks this channel #10 of 91 here — alongside 90 others — read 16 September 2026
مهاجرت کاری و تحصیلی
@internationalcollege · 53,398
Telegram ranks this channel #11 of 71 here — alongside 70 others — read 23 August 2026
🎓آموزش تحقیق دانشگاهی🎓
@Research_Q1 · 33,200
Telegram ranks this channel #14 of 89 here — alongside 88 others — read 4 September 2026
مکتب‌خونه | Maktabkhooneh
@maktabkhooneh · 34,656
Telegram ranks this channel #15 of 90 here — alongside 89 others — read 3 September 2026
هوش مصنوعی در پژوهش
@AI_in_Research · 282,831
Telegram ranks this channel #15 of 92 here — alongside 91 others — read 19 August 2026
Kooshiar
@kooshiar3 · 25,799
Telegram ranks this channel #16 of 93 here — alongside 92 others — read 14 September 2026
ApplyKite
@ApplyIR2UK · 38,126
Telegram ranks this channel #16 of 88 here — alongside 87 others — read 31 August 2026
اخبار هوش مصنوعی
@Ai_NewsTv · 27,479
Telegram ranks this channel #21 of 88 here — alongside 87 others — read 10 September 2026
تولید محتوا |هوش مصنوعی| زنگ دانش
@zangedanesh · 59,398
Telegram ranks this channel #24 of 85 here — alongside 84 others — read 22 August 2026
عصر گویش | هوش مصنوعی
@asrgooyeshpardaz · 100,413
Telegram ranks this channel #26 of 89 here — alongside 88 others — read 24 August 2026
هوش مصنوعی | AI
@AI_University · 32,401
Telegram ranks this channel #27 of 83 here — alongside 82 others — read 5 September 2026
آموزش برنامه نویسی و هوش‌مصنوعی | Max academy
@max_academy · 70,235
Telegram ranks this channel #28 of 83 here — alongside 82 others — read 20 August 2026
آموزش نوین مقاله نویسی با هوش مصنوعی
@tephd · 77,186
Telegram ranks this channel #28 of 87 here — alongside 86 others — read 19 August 2026
FaraDars | فرادرس‌‎
@faradars · 61,413
Telegram ranks this channel #29 of 87 here — alongside 86 others — read 22 August 2026
AFARINESH | خانه آیلتس آفرینش
@afarinesh · 79,011
Telegram ranks this channel #29 of 87 here — alongside 86 others — read 19 August 2026
دانش، آگاهی
@daneshagahi · 28,319
Telegram ranks this channel #38 of 95 here — alongside 94 others — read 10 September 2026
آموزش پایان نامه و مقاله نویسی پژوهه
@pajoohehgroup · 60,462
Telegram ranks this channel #39 of 87 here — alongside 86 others — read 22 August 2026

This channel appears in 51 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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“DLeX: AI Python” (@ai_python), 21,397 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/ai_python.

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.