Education — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
32 measurements spanning 42 days, net +185. 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 10,068–10,315 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
19 Sept 2026, 00:36
10,281
-5
16 Sept 2026, 12:38
10,286
+10
14 Sept 2026, 17:59
10,276
+17
13 Sept 2026, 03:19
10,259
+8
11 Sept 2026, 05:37
10,251
+12
8 Sept 2026, 12:00
10,239
+15
5 Sept 2026, 04:41
10,224
+4
3 Sept 2026, 09:59
10,220
-6
2 Sept 2026, 07:36
10,226
+4
1 Sept 2026, 08:36
10,222
+3
31 Aug 2026, 06:34
10,219
+8
30 Aug 2026, 08:07
10,211
+2
28 Aug 2026, 09:07
10,209
+2
27 Aug 2026, 08:08
10,207
+1
26 Aug 2026, 05:09
10,206
+13
25 Aug 2026, 05:22
10,193
+6
24 Aug 2026, 06:13
10,187
+4
21 Aug 2026, 06:34
10,183
+7
20 Aug 2026, 09:36
10,176
+4
19 Aug 2026, 11:34
10,172
first reading
Engagement
98 posts held, back to 2 August 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 47 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.87%
avg views ÷ 10,281 subscribers
Avg views / post
604
31 posts measured
Reaction rate
0.218%
reactions ÷ views · ER floor
Posts in window
32
of 98 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. It is computed over the 15 of 31 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
98 (2 August 2026 – 28 August 2026)
Views total
18,715
Reactions total
20
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 03:33 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
2h 55m
Average length
5m 29s
Measured directly from 32 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
127 reactions across 50 posts, in 5 distinct kinds. The most used accounts for 62.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
79
62.2%
👍
22
17.3%
🔥
18
14.2%
🙏
5
3.94%
👏
3
2.36%
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 54 of the 98 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 127 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 98 most recent posts we hold, published 2 August 2026 to 28 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.
آموزش ریاضیات هوش مصنوعی قسمت پانزدهم ضرب ماتریسی
مشاهده قسمت اول
مشاهده قسمت دوم
مشاهده قسمت سوم
مشاهده قسمت چهارم
مشاهده قسمت پنجم
مشاهده قسمت ششم
مشاهده قسمت هفتم
مشاهده قسمت هشتم
مشاهده قسمت نهم
مشاهده قسمت دهم
مشاهده قسمت یازدهم
مشاهده قسمت دوازدهم
مشاهده قسمت سیزدهم
مشاهده قسمت چهاردهم
فقط ۳ تا ظرفیت تخفیف ۹۹ هزارتومنی پایتون باقی مونده (قیمت اصلی ۵۰۰ هزار تومن)
این دوره برای توئه اگر:
⭐️ صفر مطلقی و نمیدونی از کجا شروع کنی.
⭐️ دانشآموز یا دانشجویی و میخوای برنامهنویسی یاد بگیری.
⭐️ میخوای مسیر شغلیت رو عوض کنی و وارد Tech، Data یا AI بشی.
⭐️ خودآموزی و دوست داری با پروژه یاد بگیری.
⭐️ فقط میخوای برنامهنویسی رو امتحان کنی و ببینی به دردت میخوره یا نه.
دوره با پشتیبانی رایگان مادام ال…
به درخواستهای زیاد شما عزیزان*
دوره آموزش ساخت ۵ ربات معاملهگر با تخفیف ویژه و هدیه منتشر شد
این دوره یکی از کاربردیترین دورهها برای شروع ورود به دنیای تریدینگ و ساخت رباتهای معاملاتی با پایتون هست.
🎁 تخفیف ویژه انتشار دوره:
💰 قیمت اصلی: ۶۰۰ هزار تومان
🔥 قیمت ویژه: ۱۰۸ هزار تومان
📚 هدیه ویژه برای ۱۰ نفر اول!**
۱۰ نفر اولی که سفارش خودشون رو ثبت کنن، کتاب آموزش Pandas با ترجمه سایت W3SCHOOLS رو بهصورت هدیه…
آموزش ریاضیات هوش مصنوعی قسمت چهاردهم:
آموزش حل دستگاه معادلات خطی با روش جایگذاری همراه با مثال و تمرین
⏱️ بخشهای مهم ویدیو:
00:26 - معرفی روش جایگذاری
00:38 - مثال حل دستگاه دو معادله با جایگذاری
02:54 - سه تمرین برای حل با روش جایگذاری
03:44 - حل تمرین اول
05:31 - حل تمرین دوم
06:52 - تمرین سوم: دستگاه بدون جواب
08:02 - توضیح هندسی خطوط موازی و بینهایت جواب
09:38 - جمعبندی و معرفی روش بعدی (حذف)
آموزش ریاضیات هوش مصنوعی قسمت سیزدهم:
تمرین از بخش های گذشته
⏱️ بخشهای مهم ویدیو:
00:15 - سه تمرین سریع درباره عملیات رایج تانسوری
00:54 - حل سوال ترانسپوز ماتریس Y
01:17 - حل سوال ضرب هادامارد (ضرب عنصر به عنصر)
01:50 - حل سوال ضرب داخلی تانسورهای W و X
مشاهده قسمت اول
مشاهده قسمت دوم
مشاهده قسمت سوم
مشاهده قسمت چهارم
مشاهده قسمت پنجم
مشاهده قسمت ششم
مشاهده قسمت هفتم
مشاهده قسمت هشتم
مشاهده قسمت نهم
مشاهده قسمت…
فقط دو تا ظرفیت دوره پایتون از صفر با تخفیف ۹۹ هزارتومن مونده
(قیمت اصلی ۵۰۰ هزارتومن)
دوره با پشتیبانی رایگان مادام العمر✅✅
نمونه ویدیوی دوره
سرفصلای دوره
سفارش
فقط سه تا ظرفیت دوره پایتون از صفر با تخفیف ۹۹ هزارتومن مونده
(قیمت اصلی ۵۰۰ هزارتومن)
دوره با پشتیبانی رایگان مادام العمر✅✅
نمونه ویدیوی دوره
سرفصلای دوره
سفارش
Showing the 12 most recent of 98 posts we hold for @pyfaw3schools. 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.
Posts edited after publishing
@pyfaw3schools edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
19 August 2026
Most recent edit
19 August 2026
Forward network
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.
Mentions
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.
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.
Python Forever @PythonForever · 130,985 Telegram ranks this channel #2 of 76 here — alongside 75 others — read 13 August 2026
برنامه نویسی | پایتون @Pythoni_Developers · 75,374 Telegram ranks this channel #6 of 82 here — alongside 81 others — read 19 August 2026
آموزش برنامه نویسی | Programming @WorldCode · 76,469 Telegram ranks this channel #9 of 74 here — alongside 73 others — read 19 August 2026
آکادمی آیولرن | هوش مصنوعی و برنامه نویسی @aiolearn · 160,614 Telegram ranks this channel #11 of 86 here — alongside 85 others — read 24 August 2026
کانال هوش مصنوعی | تکنولوژی | OPEN DIGI @OPEN_DIGI · 41,838 Telegram ranks this channel #15 of 20 here — alongside 19 others — read 29 August 2026
آموزش برنامه نویسی و هوشمصنوعی | Max academy @max_academy · 70,407 Telegram ranks this channel #18 of 83 here — alongside 82 others — read 20 August 2026
مهندسی کامپیوتر @maghalecomputer · 60,326 Telegram ranks this channel #20 of 85 here — alongside 84 others — read 22 August 2026
کتابخانه مهندسی کامپیوتر و پایتون @programmers_street · 30,944 Telegram ranks this channel #29 of 87 here — alongside 86 others — read 6 September 2026
برنامه نویسی | ++C @WorldCode_Cpp · 30,002 Telegram ranks this channel #31 of 81 here — alongside 80 others — read 7 September 2026
زراوند پلاس | آموزش کامپیوتر 🖥️ @zaravandplus · 69,731 Telegram ranks this channel #31 of 78 here — alongside 77 others — read 27 August 2026
Arshya @xArshya · 34,605 Telegram ranks this channel #35 of 37 here — alongside 36 others — read 2 September 2026
آموزش کامپیوتر @amuzesh_computer · 41,415 Telegram ranks this channel #35 of 79 here — alongside 78 others — read 29 August 2026
آموزش اکسل | Ms Excel @VBA_Excel · 101,861 Telegram ranks this channel #36 of 92 here — alongside 91 others — read 15 August 2026
مرتضي جاويد سلطان حافظه @mortezajavid_org · 62,767 Telegram ranks this channel #39 of 56 here — alongside 55 others — read 21 August 2026
آموزش انگلیسی به روش زبان مادری @hamidrezasotoudeh98 · 72,689 Telegram ranks this channel #39 of 89 here — alongside 88 others — read 20 August 2026
Professional programmers @programmers2024 · 32,073 Telegram ranks this channel #41 of 60 here — alongside 59 others — read 5 September 2026
Programming <-> برنامه نویسی @Amozesh_4u · 26,051 Telegram ranks this channel #42 of 66 here — alongside 65 others — read 13 September 2026
آموزش زبان انگلیسی روان @eng_ravan · 54,272 Telegram ranks this channel #43 of 79 here — alongside 78 others — read 24 August 2026
ترجمه ی متون عمومی و تخصصی @tarjjommee · 22,619 Telegram ranks this channel #45 of 89 here — alongside 88 others — read 20 September 2026
Android Developers @Android0to100 · 61,488 Telegram ranks this channel #45 of 65 here — alongside 64 others — read 22 August 2026
جزوه یاب 📖 @jozve_finder · 83,198 Telegram ranks this channel #45 of 82 here — alongside 81 others — read 18 August 2026
Html and Css & Jsآموزش @htmlcss_channels · 23,158 Telegram ranks this channel #49 of 86 here — alongside 85 others — read 19 September 2026
پایتون | Data Science | Machine Learning @Python4all_pro · 24,343 Telegram ranks this channel #49 of 91 here — alongside 90 others — read 16 September 2026
آموزش <HTML> </HTML> @HTML_Developers · 27,957 Telegram ranks this channel #50 of 85 here — alongside 84 others — read 10 September 2026
This channel appears in 52 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“W3schoolsfa | پایتون ،برنامه نویسی و هوش مصنوعی آموزش رایگان” (@pyfaw3schools), 10,281 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/pyfaw3schools.
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.