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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

21,298subscribers

-143 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 لینک پیام ناشناس، جهت انتقادات، حرف و حدیث و پیشنهادات : https://t.me/mahtabak_nashenas_bot?start=1dOIcE18ITmb5Htw1M7zgq
Created7 February 2017 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live9 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 9 November 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 the other topics.

Growth

21,29621,45521,375.521,2986 August 20269 November 2026
63 measurements spanning 96 days, net -143. 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 21,272–21,479 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
9 Nov 2026, 18:0021,298-4
8 Nov 2026, 13:1121,302+1
7 Nov 2026, 10:2621,301+2
6 Nov 2026, 09:3521,299-4
5 Nov 2026, 11:3421,303-4
4 Nov 2026, 12:0821,307-5
3 Nov 2026, 13:5721,312-7
2 Nov 2026, 13:2121,319-2
1 Nov 2026, 11:2921,321-1
31 Oct 2026, 11:3021,322+5
30 Oct 2026, 08:1921,317+3
29 Oct 2026, 05:0121,314+13
27 Oct 2026, 23:5021,301+5
26 Oct 2026, 22:3721,296-6
25 Oct 2026, 21:2021,302+1
24 Oct 2026, 18:5921,301-7
23 Oct 2026, 17:3521,308-3
22 Oct 2026, 17:5821,311-2
21 Oct 2026, 14:2721,313-2
20 Oct 2026, 07:5521,315first reading

Engagement

108 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 82 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.68%
avg views ÷ 21,298 subscribers
Avg views / post
1,640
23 posts measured
Reaction rate
0.971%
reactions ÷ views · ER floor
Posts in window
23
of 108 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 8 November 2026
Posts held108 (21 July 2026 – 8 November 2026)
Views total37,606
Reactions total365
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 03:19 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
≈5,250
Videos
≈1,270
Links
≈4,750

Lifetime counters from Telegram’s own channel header, read 11 November 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
6m 20s
Average length
1m 03s

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.

Reaction mix

1,271 reactions across 108 posts, in 6 distinct kinds. The most used accounts for 43.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤55143.4%
👍30123.7%
❤‍🔥29623.3%
🐳1007.87%
😭141.10%
💔90.708%

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 108 of the 108 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 1,271 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 108 most recent posts we hold, published 21 July 2026 to 8 November 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
140
across the posts below
Posts paid on
96
of 108 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 108 most recent posts we hold for this entry, published 21 July 2026 to 8 November 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

Telegram’s own ‘edited’ marker: 2 of 23 posts held from the last 30 days (8.70%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

8 Nov 2026, 15:21 UTC696 views6 reactions1 Starread 11 November 2026
Photo

ایده های پیشنهادی برای استفاده بهینه تر از Hermes 👉 @ai_python 🦁 ☀️ https://x.com/HermesWatcher/status/2119173055356531166/photo/1

👍3❤2❤‍🔥1

Signed NaviD DariYa

4 Nov 2026, 10:14 UTC≈1,270 views12 reactions2 Starsread 11 November 2026

استفاده از کامپیوتر با مدل دلخواه از طریق Open WebUI : 👉 @ai_python 🦁 ☀️ https://x.com/OpenWebUI/status/2117886684780224883

❤8❤‍🔥2👍2

Signed NaviD DariYa

3 Nov 2026, 21:11 UTC≈1,290 views11 reactions1 Starread 11 November 2026

https://youtu.be/BnZfXQZ7UOw?si=FWjgYHl42T3D63Nj

❤7❤‍🔥2👍2

Signed NaviD DariYa

1 Nov 2026, 20:35 UTC≈1,270 views20 reactions3 Starsread 11 November 2026
Forwarded from @mazdaahik

Posted without readable text

❤12👍6❤‍🔥2

Signed NaviD DariYa

1 Nov 2026, 18:48 UTC≈1,010 views16 reactions3 Starsread 11 November 2026
Forwarded from @reza_jafari_ai

یه مقاله‌ی جدید با عنوان On the Economics of Reasoning Effort in LLM Agents بررسی کرده که برای LLMها بهتره از چه سطحی از Reasoning Effort استفاده کنیم. این مقاله به چند نتیجه‌ی جالب رسیده. اول اینکه Reasoning Effort بیشتر، لزوماً به معنی عملکرد بهتر نیست. از طرف دیگه، هرچی Reasoning Effort بالاتر باشه، معمولاً هزینه هم بیشتر می‌شه؛ به‌طوری‌که هزینه‌ی بالاترین سطح می‌تونه تا ۴۲ برابرِ پایین‌ترین سطح باشه. نکته‌ی ج…

❤10❤‍🔥3👍3

Signed NaviD DariYa

28 Oct 2026, 11:28 UTC≈1,720 views15 reactions3 Starsread 11 November 2026

امروز خودم داشتم دوباره این ویدیو رو می دیدم و یه خوبی که داشت بخش امنیتش بود که خلاصه ای از موارد امنیتی رو می گه که گاهی یادمون می ره چک کنیم. مثلن چطوری جلوی هایجک Agent رو بگیریم و ...

❤9❤‍🔥4👍2

Signed NaviD DariYa

27 Oct 2026, 21:43 UTC≈1,950 views20 reactions3 Starsread 11 November 2026
Photo

مواردی که برای ساخت یک Agent هوش مصنوعی خوب باید رعایت کنیم : 👉 @ai_python 🦁 ☀️ https://youtu.be/xKgY5vnzjMQ?si=f564ZuiTqMneQqi0

👍13❤3❤‍🔥3🐳1

Signed NaviD DariYa

26 Oct 2026, 22:57 UTC≈4,900 views24 reactions4 Starsread 11 November 2026
Photo

طبق گزارش بلومبرگ، مایکروسافت با هدف کاهش هزینه‌ها در پی طبعات پیشرفتِ هوش مصنوعی، به ۶۰ هزار کارمند خود بسته‌های بازنشستگی ارائه (پیشنهاد) می‌دهد. (یعنی می گه بیا همین الان اینو بگیر برو 🐸) 👉 @ai_python 🦁 ☀️ X : خب واقعیت اینه که به خصوص توی کمپانی های بسیار بزرگ همیشه تعداد زیادی نیروی کار می دیدیم که تسک های تکراری انجام می دادن. اسمشون این بود که مثلن فلان سِمت رو توی مایکروسافت و گوگل دارن. ولی در واقع کاری …

❤16👍6❤‍🔥2

Signed NaviD DariYa

26 Oct 2026, 21:04 UTC≈1,570 views16 reactions1 Starread 11 November 2026
Photo

تفاوت های MCP با WebMCP 👉 @ai_python 🦁 ☀️

👍10❤‍🔥4❤2

Signed NaviD DariYa

26 Oct 2026, 20:39 UTC≈1,170 views15 reactions1 Starread 11 November 2026
Forwarded from @mazdaahikPhoto

👇👇👇

❤9👍4❤‍🔥2

Signed NaviD DariYa

26 Oct 2026, 20:39 UTC≈1,440 views18 reactions2 Starsread 11 November 2026
Forwarded from @mazdaahikFile

چطور با چند عمل ساده روی سطرها، یک دستگاه معادله را حل کنیم؟ 📘 جزوهٔ جبر خطی | جلسهٔ دوم با تدریس گیلبرت استرنگ 🏛 MIT حذف گاوسی و ماتریس‌های مقدماتی در این جلسه، مراحل حذف گاوسی و جانشانی پسرو را دنبال می‌کنیم و می‌بینیم چگونه می‌توان هر گام حل را به زبان ماتریس‌ها نوشت. 📄 جزوهٔ فارسی در ۱۵ صفحه تهیه و تنظیم: گروه ریاضی مزداهیک 🆔 @mazdaahik #جبر_خطی #گیلبرت_استرنگ #حذف_گاوسی #MIT

❤13❤‍🔥3👍2

Signed NaviD DariYa

26 Oct 2026, 17:52 UTC≈1,250 views15 reactions1 Starread 11 November 2026
Forwarded from @wearebitsPhoto

ابزار آنلاین برای تست آسیب پذیری SSRF @WearebiTs 🐤 https://webhook.site/

❤9❤‍🔥3👍2🐳1

Signed NaviD DariYa

Showing the 12 most recent of 108 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 11 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 · 3,709
#1
DeepMind AI Expert
@AI_DeepMind · 15,843
#2
School of AI
@schoolofai · 11,335
#3
دستاوردهای یادگیری عمیق(InTec)
@pytens · 10,006
#4
Tensorflow(@CVision)
@cvision · 15,061
#5
DevTwitter | توییت برنامه نویسی
@devtwitter · 33,489
#6
Python BackendHub
@PyBackEndHub · 8,480
#7
هوش مصنوعی |یادگیری ماشین| علم داده
@Ai_Tv · 26,535
#8
Recommender system
@Recomendersystem2023 · 4,599
#9
Deep Time
@deeptimeai · 3,879
#10
Rust for Python developers
@pyrust · 2,643
#11
رویدادهای هوش مصنوعی
@eventai · 10,636
#12
Silicon Brain | جامعه هوش مصنوعی
@silicon_brain · 7,740
#13
مجله هوش مصنوعی
@HomeAI · 32,870
#14
Ai Events️
@AI_Events · 5,864
#15
CleverDevs
@CleverDevs · 11,285
#16
🐍 Python & Raspberry 🐍
@raspberry_python · 7,240
#17
Data Science | علم داده
@DataScience_ir · 50,222
#18
زندگی به عنوان سرویس
@lifeAsAService · 4,088
#19
AI Agents | Howsam
@pytorch_howsam · 3,700
#20
Sharif CE Job 💻
@CE_Job · 9,784
#21
Machine learning application (Kartal)
@Machinelearning_Kartal · 2,690
#22
آقای هوش مصنوعی
@MrArtificialintelligence · 20,689
#23
سید فرندز / برنامه نویسی / هک و امنیت / تکنولوژی / سید محمد خشنوا
@seyed_bax · 13,292
#24
Ali's Notes
@css_nlp · 1,065
#25
@machinelearningnet
@machinelearningnet2 · 3,284
#26
Quera
@quera_ir · 26,338
#27
کتابخانه مهندسی کامپیوتر و پایتون
@programmers_street · 30,945
#28
OpenCV | Python
@OpenCV_olc · 9,082
#29
Reza Jafari
@reza_jafari_ai · 9,434
#30
Machine Learning | یادگیری ماشین
@MachineLearning_ir · 34,710
#31
Dev Tweet
@tweetdev · 1,007
#32
ابزارها و کاربردهای هوش مصنوعی
@DocPython · 4,956
#33
TechTube 𝕏 تک توب
@TechTube · 75,095
#34
Pythonism
@Pythonism_Xl · 2,025
#35
Data world with Mina
@datalook_ir · 4,113
#36
CE 401 Grad News
@sutcse · 3,395
#37
Positions in Computer Science
@cspositions · 9,032
#38
هوش مصنوعی و علم داده به فارسی
@DataPlusScience · 6,064
#39
شبکه داستانی عصبی
@NeuralFictionalNet · 823
#40
Syntax | سینتکس
@Syntax_fa · 3,260
#41
نوشته‌های ترمینالی
@terminal_stuff · 3,555
#42
مرجع دیتاست فارسی
@persian_data · 3,301
#43
Golem Course
@golemcourse · 2,774
#44
AI with Parissan 🤖🦾
@AIwithParissan · 1,675
#45
پایتون | Data Science | Machine Learning
@Python4all_pro · 24,131
#46
Rayan AI Course
@Rayan_AI_Course · 2,398
#47
فیلاگر|جامعه هوش مصنوعی ایران
@filoger_com · 4,765
#48
محمد لرنینگ (آموزش برنامه نویسی)
@makedeveloper · 2,789
#49
Quera Talent | استخدام برنامه‌نویسان
@quera_talent · 12,015
#50
Algorithm design & data structureچ
@AlgorithmDesign_DataStructuer · 6,401
#51
دیتاهاب
@data_hub_ir · 2,107
#52
PhiloLearn | فیلولرن
@Philolearn · 1,476
#53
آموزش برنامه نویسی و هوش‌مصنوعی | Max academy
@max_academy · 69,819
#54
Python Forever
@PythonForever · 131,936
#55
آکادمی ربوتک
@robotech_academy · 4,005
#56
AI, Python, Cognitive Neuroscience
@ai_python_en · 3,428
#57
ITShield
@itshield · 15,938
#58
ویکی تجربه - استخدام و بررسی شرکت ها
@wiki_tajrobe · 79,511
#59
arXiv
@ai_python_arxiv · 1,577
#60
SecCode
@seccode · 11,994
#61
ApplyKite
@ApplyIR2UK · 38,939
#62
اخبار هوش مصنوعی
@Ai_NewsTv · 27,210
#63
Security Analysis
@securation · 12,727
#64
مهندسی داده ها
@agentschoolir · 6,899
#65
Python Hints
@pyHints · 10,270
#66
جادی | Jadi
@jadivarlog · 105,594
#67
Django Expert
@djangoex · 9,893
#68
Sadra Codes
@lnxpylnxpy · 4,361
#69
Linuxor ?
@Linuxor · 34,338
#70
Geek Alerts
@geekalerts · 18,647
#71
‌BenDev
@BenDevelop · 2,978
#72
Programming Resources
@pythony · 19,710
#73
Gopher Academy
@gopher_academy · 3,867
#74
جنگولرن
@djangolearn_ir · 4,489
#75
VPN CLUB
@wbnet · 227,373
#76
Yasha
@Y45ha · 4,092
#77
Seyed Mahdi Notes
@seyedmahdidiary · 2,488
#78
SUT Twitter
@sut_tw · 91,875
#79
Digiato | دیجیاتو
@Digiato · 115,453
#80
Zoomit | زومیت
@thezoomit · 132,579
#81
کالی بویز | ترفند | تکنولوژی
@Kaliboys · 28,523
#82
Go Casts | Systems & Agents 🚀
@gocasts · 10,574
#83
Milad Nouri(ツ) میلاد نوری
@miladnourichannel · 27,162
#84
PGTWEET | توییت برنامه نویسی
@pgtweet · 3,761
#85
Morteza Bashsiz مرتضی باشسیز
@MortezaBashsiz · 16,362
#86
سیلیسیم
@siliciumir · 2,698
#87
Out of Distribution
@out_of_distribution · 3,096
#88
linuxtnt(Tips and Tricks)
@linuxtnt · 6,998
#89
Microfrontend.ir
@microfrontend_ir · 1,347
#90
IRCF | اینترنت آزاد برای همه
@ircfspace · 97,082
#91
Job Offer‌ With me 🎉💪
@get_joboffer · 19,229
#92
Café SSC
@cafe_ssc · 3,592
#93
Programmer Jokes
@programmerjokes · 106,012
#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 · 32,870
Telegram ranks this channel #3 of 91 here — alongside 90 others — read 5 September 2026
هوش مصنوعی |یادگیری ماشین| علم داده
@Ai_Tv · 26,535
Telegram ranks this channel #4 of 94 here — alongside 93 others — read 12 September 2026
کتابخانه مهندسی کامپیوتر و پایتون
@programmers_street · 30,945
Telegram ranks this channel #5 of 87 here — alongside 86 others — read 6 September 2026
مغز آینده |NextBrain
@NextBrain_ir · 19,745
Telegram ranks this channel #7 of 90 here — alongside 89 others — read 29 September 2026
آقای هوش مصنوعی
@MrArtificialintelligence · 20,689
Telegram ranks this channel #8 of 94 here — alongside 93 others — read 26 September 2026
Machine Learning | یادگیری ماشین
@MachineLearning_ir · 34,710
Telegram ranks this channel #8 of 90 here — alongside 89 others — read 3 September 2026
Data Science | علم داده
@DataScience_ir · 50,222
Telegram ranks this channel #8 of 92 here — alongside 91 others — read 25 August 2026
Learn Python
@learnpy · 21,296
Telegram ranks this channel #10 of 90 here — alongside 89 others — read 23 September 2026
پایتون | Data Science | Machine Learning
@Python4all_pro · 24,131
Telegram ranks this channel #10 of 91 here — alongside 90 others — read 16 September 2026
Anki Decks
@AlienAnkiDecks · 19,699
Telegram ranks this channel #11 of 87 here — alongside 86 others — read 3 October 2026
مهاجرت کاری و تحصیلی
@internationalcollege · 52,632
Telegram ranks this channel #11 of 71 here — alongside 70 others — read 23 August 2026
🎓آموزش تحقیق دانشگاهی🎓
@Research_Q1 · 34,378
Telegram ranks this channel #14 of 89 here — alongside 88 others — read 4 September 2026
مکتب‌خونه | Maktabkhooneh
@maktabkhooneh · 35,469
Telegram ranks this channel #15 of 90 here — alongside 89 others — read 3 September 2026
هوش مصنوعی در پژوهش
@AI_in_Research · 305,648
Telegram ranks this channel #15 of 92 here — alongside 91 others — read 19 August 2026
Kooshiar
@kooshiar3 · 25,589
Telegram ranks this channel #16 of 93 here — alongside 92 others — read 14 September 2026
ApplyKite
@ApplyIR2UK · 38,939
Telegram ranks this channel #16 of 88 here — alongside 87 others — read 31 August 2026
Daily English Podcasts
@podcasts_english · 19,250
Telegram ranks this channel #19 of 77 here — alongside 76 others — read 1 October 2026
اخبار هوش مصنوعی
@Ai_NewsTv · 27,210
Telegram ranks this channel #21 of 88 here — alongside 87 others — read 10 September 2026
تولید محتوا |هوش مصنوعی| زنگ دانش
@zangedanesh · 58,838
Telegram ranks this channel #24 of 85 here — alongside 84 others — read 22 August 2026
Programming Resources
@pythony · 19,710
Telegram ranks this channel #25 of 95 here — alongside 94 others — read 30 September 2026
عصر گویش | هوش مصنوعی
@asrgooyeshpardaz · 99,519
Telegram ranks this channel #26 of 89 here — alongside 88 others — read 24 August 2026
هوش مصنوعی | AI
@AI_University · 31,914
Telegram ranks this channel #27 of 83 here — alongside 82 others — read 5 September 2026
آموزش برنامه نویسی و هوش‌مصنوعی | Max academy
@max_academy · 69,819
Telegram ranks this channel #28 of 83 here — alongside 82 others — read 20 August 2026
آموزش نوین مقاله نویسی با هوش مصنوعی
@tephd · 75,773
Telegram ranks this channel #28 of 87 here — alongside 86 others — read 19 August 2026

This channel appears in 60 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 9 November 2026 — this entry's latest reading, not the date you are reading this.

“DLeX: AI Python” (@ai_python), 21,298 subscribers as measured 9 November 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.