🎙صدایتان، امضایِ شخصیت شماست؛ آن را حرفهای بسازید! 🔹️آیا میدانستید اولین چیزی که از شما در ذهن دیگران حک میشود، نه چهره، که «طنینِ صدای» شماست؟ صدا فقط مجموعهای از کلمات نیست؛ ابزاری قدرتمند برای نفوذ، رهبری و متقاعد کردن است. 🔹️خیلیها تصور میکنند صدایِ خوب یک «موهبتِ خدادادی» است؛ اما حقیقت این است که صدا «عضلهای» است که با تمرین و تکنیک پرورش مییابد. در 《دوره تخصصی صدا در مؤسسه فرهنگی هنری کوروش》، ما به ش…

Channel
پایتون | Data Science | Machine Learning
@Python4all_pro
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
24,733subscribers
-81 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 | -1002075108012 |
|---|---|
| Type | Channel |
| Username | @Python4all_pro |
| Description | ◀️اینجا با تمرین و چالش با هم پایتون رو یاد می گیریم ⏮بانک اطلاعاتی پایتون پروژه / code/ cheat sheet +ویدیوهای آموزشی +کتابهای پایتون تبلیغات: @alloadv 🔁ادمین : @maryam3771 |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/Python4all_pro |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 14:35 | 24,733 | -10 |
| 11 Aug 2026, 17:26 | 24,743 | -25 |
| 10 Aug 2026, 14:01 | 24,768 | -16 |
| 9 Aug 2026, 15:13 | 24,784 | +5 |
| 8 Aug 2026, 14:47 | 24,779 | -20 |
| 7 Aug 2026, 15:08 | 24,799 | -15 |
| 6 Aug 2026, 23:30 | 24,814 | no change |
| 6 Aug 2026, 23:18 | 24,814 | first reading |
Engagement
28 posts held, back to 28 June 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 19 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.38%
- avg views ÷ 24,733 subscribers
- Avg views / post
- 1,330
- 23 posts measured
- Reaction rate
- 0.119%
- reactions ÷ views · ER floor
- Posts in window
- 24
- of 28 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 13 of 23 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 28 (28 June 2026 – 12 August 2026) |
| Views total | 30,615 |
| Reactions total | 26 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 22:35 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
- 619
- Videos
- 79
- Links
- 494
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. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 2m 18s
- Average length
- 2m 18s
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
38 reactions across 13 posts, in 5 distinct kinds. The most used accounts for 63.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 24 | 63.2% | |
| 👍 | 7 | 18.4% | |
| ❤🔥 | 5 | 13.2% | |
| 👾 | 1 | 2.63% | |
| 🔥 | 1 | 2.63% |
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 15 of the 28 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 38reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 28 June 2026 to 12 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
💢 ۶۰۰ آموزش ۱۱۹ هزار تومنی ➕ ۸۰٪ تخفیف برای سایر آموزشهای فرادرس ✔️ در این طرح یادگیری، ۶۰۰ آموزش منتخب با قیمت ۱۱۹,۰۰۰ تومن در دسترس شماست و علاوه بر آن، سایر آموزشها با ۸۰ درصد تخفیف قابل دریافت است. 👇 دسترسی آسان به منابع آموزشی 👇 🔗 [آموزشهای هوش مصنوعی] 🔗 [تمامی آموزشهای ۱۱۹ هزار تومنی] برای مشاهده سایر آموزشها و استفاده از تخفیف ۸۰ درصدی، روی لینک زیر کلیک کنید: 🔗 [مشاهده سایر آموزشها] 🔄 FaraDars …
❤1
خانهای میان ابرها | نسل جدید سرورها در دیتاسنتر جدید آروانکلاد ⚡️ دیتاسنتر قیصر با نسل جدید سختافزارهای پرمیوم راهاندازی شده تا امکانات تازهای را برای طراحی و اجرای سرویسهای ابری در اختیار تیمهای فنی قرار میدهد. 📌 نسل جدید منابع پردازشی این مرکز داده، به شما کمک میکند تا پردازشهای سنگین را با کارایی بالاتر اجرا کنید: 📼 سختافزار از نسل پرمیوم ⚙️ توان پردازشی بالاتر برای بارهای کاری سنگین 📍 پنجمین دیتاسن…
معرفی کتابخانه پایتونی xy (توسعهیافته توسط تیم Reflex)؛ یک جایگزین متنباز و فوقسریع برای Matplotlib، Plotly و Bokeh که با زبان Rust نوشته شده و در رندر ۱۰ میلیون نقطه داده، عملکردی بینظیر از خود نشان میدهد. عملکرد محاسباتی (بنچمارک رسمی ۱۰ میلیون نقطه): 🔹 XY ➡ ۰.۰۲۳ ثانیه 🔹 Matplotlib ➡ ۲.۷۸ ثانیه 🔹 Plotly ➡ ۹.۵۸ ثانیه به این ترتیب، xy در مقایسه با Plotly تا ۴۱۳ برابر و در مقایسه با Matplotlib تا ۱۲۰ برابر سر…
❤1❤🔥1👍1
🚀 هزینه VPSت رو کمتر کن، بدون اینکه از کیفیت زیرساخت کم کنی! آوابرید برای مدت محدود: ۴۰٪ تخفیف روی ترافیک ۲۰٪ تخفیف روی سرورهای مجازی (VPS) اگر به پایداری، سرعت و امنیت سرویس اهمیت میدی، الان بهترین زمان برای تهیه یا ارتقای سرورته. 🎁 ثبت سفارش سرور مجازی با کدتخفیف 25% : vps555 🎁 ترافیک حجمی اختصاصی با کدتخفیف 40% : traffic40 https://avabarid.com/intsec
📌 برای ورود به هر کانال join را لمس کنید ✅ https://t.me/addlist/4ztVIw0E3405ZTc0 .
🔮 اگه هوش مصنوعی رو تو معماری کاری میکنی اینجا کلی پرامپ تخصصی برات گذاشتیم ⭕️ https://t.me/+XNddZgGGtJNjOTI0 **** ⛳️ @Armisstab .
پایتون | Data Science | Machine Learning pinned a photo
ثبتنام دورههای آموزشی «طراحی سایت با HTML و CSS» و «طراحی محصول با Figma» شروع شد! ✨ اگر میخواهی مسیر حرفهای شغلیات را از همینجا آغاز کنی، این فرصت برای توست. با حضور در این دورهها، شانس استخدام بهصورت دورکار در «کاریار استودیو» را هم خواهی داشت. مهلت ثبتنام تا ۱۸ مرداد است. 🔹 ثبتنام دوره طراحی سایت با HTML و CSS: https://kaaryar.ir/html-css/ 🔹 ثبتنام دوره طراحی محصول با Figma: https://kaaryar.ir/figma…
بدون اینترنت #آسیاتک کار و جلسهات میره رو هوا😱 امکان خرید #اینترنت #LTE در 4 قسط از طریق دیجیپی🤩 📣بدون نیاز به چک و ضامن 🔴مودم E1 + سیمکارت + 900 گیگ اینترنت 6 ماهه 🔴سیمکارت + 1200 گیگ اینترنت 1ساله ✅ارسال فوری به سراسر کشور ✅امکان جابهجایی راحت 👈🏻خرید اقساطی پکیج اینترنت LTE 🌐کانال تلگرام: t.me/asiatechco ☎️تماس با شماره رایگان 0000 9000 (داخلی 99)
📕 کتاب«GenAI با پایتون و PyTorch» — چاپ دوم، مارس ۲۰۲۵ 👨🏻💻 اگه از کتابایی خسته شدی که فقط تئوری میگن و آخرش نمیدونی چطوری کد بزنی، وقتشه با این کتاب آشنا بشی. 📚 چاپ دوم این کتاب (مارس ۲۰۲۵) یه بازنویسی کامله: از TensorFlow به PyTorch مهاجرت کرده، مدلهای LLM و Diffusion رو هم اضافه کرده و کل چرخهی آموزش رو پوشش میده. 🧠 توش چی پیدا میشه؟ 🔸 فصل ۱–۲: پایهها ؛GenAI چیه و چطوری با Midjourney، DALL-E و ChatGPT زند…
❤🔥1👍1🔥1
‼️ فقط با ۱۱۹ هزار تومن، مهارت جدید یاد بگیر ‼️ ♨️ قیمت استثنایی برای ۶۰۰ دوره آموزشیِ فرادرس 📣 برای مشاهده آموزشهای هر دسته بندی، روی عنوان مورد نظر کلیک کنید: 👇 ✅ هوش مصنوعی | برنامه نویسی ✅ علوم کامپیوتر و شبکه | پایتون ✅ زبانهای خارجی | اکسل Excel ✅ بازاریابی و کسب و کار | بازارهای مالی ✅ مهارتهای عمومی | طراحی سایت 🔗 لیست تمامی ۶۰۰ آموزش - [کلیک کنید] 🔄 FaraDars - فرادرس
Showing the 12 most recent of 28 posts we hold for @Python4all_pro. 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 — 831,164 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.
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
Named by 3 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.
@Armisstab · 1,5151 postArvancloud
@arvancloud · 8,1971 postکانال رسمی آسیاتک
@asiatechco · 11,4221 postآموزشگاه کندو
@cando_ac · 9,3461 postفیوچرا | Futura
@Futura_primium · 8311 postGenerative
@generative · 131 postکاریار کالج
@Karyar_College · 3791 postآکادمی وب راین
@webrayn_academy · 441 post
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“پایتون | Data Science | Machine Learning” (@Python4all_pro), 24,733 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Python4all_pro.
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.