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Channel

برنامه‌نویسی | هوش مصنوعی | علم داده

@python_0to100

On this record: Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

18,057subscribers

-83 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-1001209346447
TypeChannel
Username@python_0to100
Description✳️ گروه رسانه‌ای ماهنامه شبکه: 🔗 shabakeh-mag.com ماهنامه شبکه: 🌐 @ShabakehMAG برنامه‌نویسی | پایتون 🐍 @Python_0to100 گروه گفتمان برنامه‌نویسی: 🗨 @programming_group 🚨تبلیغات هدفمند 🆑 https://www.httb.ir/
Created25 April 2018measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live21 August 2026
Measurements held16
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/python_0to100

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

18,05718,14018,098.56 August 2026 — 18,140 subscribers6 August 2026 — 18,138 subscribers7 August 2026 — 18,132 subscribers8 August 2026 — 18,127 subscribers9 August 2026 — 18,113 subscribers10 August 2026 — 18,103 subscribers11 August 2026 — 18,090 subscribers12 August 2026 — 18,080 subscribers13 August 2026 — 18,068 subscribers14 August 2026 — 18,072 subscribers16 August 2026 — 18,104 subscribers17 August 2026 — 18,091 subscribers18 August 2026 — 18,083 subscribers19 August 2026 — 18,078 subscribers20 August 2026 — 18,068 subscribers21 August 2026 — 18,057 subscribers6 August 202621 August 2026
16 measurements spanning 16 days, net -83. 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 18,045–18,152 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 23:2518,057-11
20 Aug 2026, 17:0518,068-10
19 Aug 2026, 16:4318,078-5
18 Aug 2026, 17:0318,083-8
17 Aug 2026, 17:0918,091-13
16 Aug 2026, 14:0918,104+32
14 Aug 2026, 21:2718,072+4
13 Aug 2026, 14:5818,068-12
12 Aug 2026, 16:2518,080-10
11 Aug 2026, 13:1818,090-13
10 Aug 2026, 14:4118,103-10
9 Aug 2026, 12:0118,113-14
8 Aug 2026, 13:5118,127-5
7 Aug 2026, 16:2218,132-6
6 Aug 2026, 15:3018,138-2
6 Aug 2026, 02:2118,140first reading

Engagement

20 posts held, back to 1 June 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 36 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.37%
avg views ÷ 18,057 subscribers
Avg views / post
248
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
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 17 August 2026
Posts held20 (1 June 202517 August 2026)
Views total248
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 22:16 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
989
Videos
13
Links
1,060

Lifetime counters from Telegram’s own channel header, read 22 August 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.

Reaction mix

7 reactions across 4 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍7100.0%

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 4 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 7reactions 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 1 June 2025 to 17 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

17 Aug 2026, 07:32 UTC248 viewsread 22 August 2026
Forwarded from @shabakehmagPhoto

🎯 تبلیغات وارد هوش مصنوعی شد؛ آیا دوران سئو و کلیدواژه رو به پایان است؟ 🛡 شما نیاز، بودجه و تردیدهایتان را به هوش مصنوعی می‌گویید؛ اطلاعاتی که گوگل هیچ‌وقت یک‌جا نداشت! حالا تبلیغات وارد همین گفت‌وگوها شده است. 🟢 در این مطلب می‌خوانید: ⏺ آیا هوش مصنوعی از مشاور به فروشنده تبدیل می‌شود؟ ⏺تبلیغات چگونه از گوگل به ChatGPT می‌رسد؟ ⏺ آیا سئو و کلیدواژه به پایان راه نزدیک شده‌اند؟ ⏺ مرز پیشنهاد مفید و سوءاستفاده از اعتم

2 Nov 2025, 12:43 UTC≈6,300 viewsread 22 August 2026
Forwarded from @shabakehmagPhoto

🎯 چرا تبلیغات برای برنامه‌نویس‌ها سخت‌ترین نوع تبلیغ است؟ + راهکار در این مطلب می‌خوانید: ⏺ شناخت دقیق شخصیت برنامه‌نویس‌ها ⏺ اشتباهات رایج برندها در تبلیغ برای جامعه‌ی فنی ⏺ چرا برنامه‌نویس‌ها به تبلیغات اعتماد نمی‌کنند ⏺ چگونه تبلیغی بسازیم که برای ذهن منطقی جذاب باشد ⏺ بهترین ساعت نمایش تبلیغات برای برنامه‌نویس‌ها 👇 از لینک زیر این مقاله جذاب را بخوانید: ➡️ shabakeh-mag.com/node/21655 ➖➖➖➖➖➖➖ 🌐 @ShabakehMAG 🐍

28 Oct 2025, 13:38 UTC≈4,430 viewsread 22 August 2026
Forwarded from @shabakehmagPhoto

⏰ چرا نگاه برنامه‌نویسان به زبان برنامه‌نویسی کاتلین دوخته شده است؟ ⏺ کاتلین (Kotlin) بر مبنای ایده ساخت یک زبان برنامه‌نویسی مدرن که توانایی اجرا روی ماشین مجازی جاوا (Java Virtual Machine) را داشته باشد و در عین حال با جاوا و ابزارهای این زبان سازگار باشد، شکل گرفت. همین مسئله باعث شد تا کاتلین به یکی از سریع‌ترین زبان‌های برنامه‌نویسی در حال رشد ... 🔗 ادامه مطلب رو اینجا بخون: 👈 مطالعه کامل در سایت ➖➖➖➖➖➖➖ 🌐 @

24 Sept 2025, 12:10 UTC≈4,150 views3 reactionsread 22 August 2026
Forwarded from @httb_ir

⭕️ اختراعاتی جدید که دنیای ما را مجازی کردند: 🌐 شبکه جهانی اینترنت 1993 📡 وای‌فای 1997 🕸 گوگل 1998 📌 شبکه‌های اجتماعی 2004 💰 بیت‌کوین 2009 👀 واقعیت مجازی 2014 🚗 اتومبیل خودران 2015 🔹 محاسبات کوانتومی 2019 💎 ابزارهای هوش مصنوعی 2022 ➖➖➖➖➖➖ 📌 تبلیغات در شبکه‌های اجتماعی 👈 httb.ir

👍3

17 Sept 2025, 09:31 UTC≈6,680 viewsread 22 August 2026
Photo

📊 داده‌ها فقط عدد و جدول نیستن… یه معدن طلا هستن، پر از الگو و فرصت پنهون. 🔎 علم کشف این الگوها اسمش هست: داده‌کاوی (Data Mining) ولی چرا باید جدی بگیریمش؟ ✅ از پیش‌بینی رفتار مشتری ✅ تا شناسایی تقلب و ریسک ✅ و حتی کشف فرصت‌های جدید همه‌ اینا نتیجه مستقیم داده‌کاویه. 🟢 متن کامل مقاله رو اینجا بخون: ➡️ shabakeh-mag.com/node/21468 ➖➖➖➖➖➖➖ 🌐 @ShabakehMAG 🐍 @Python_0to100 🛡 @DENAIT

14 Sept 2025, 07:12 UTC≈3,500 viewsread 22 August 2026
Forwarded from @shabakehmagPhoto

⏰ داده‌ خام پر از خطا و تکرار است. 🚫 بدون پاکسازی و تبدیل، نتیجه‌ تحلیل همیشه غلط درمیاد. 🔑 کلید حل ماجرا؟ Data Wrangling اما دقیقاً چطوری باید انجام بشه؟ 🟢 جواب کامل تو مقاله: ➡️ shabakeh-mag.com/node/21580 ➖➖➖➖➖➖➖ 🌐 @ShabakehMAG 🐍 @Python_0to100 🛡 @DENAIT

26 Aug 2025, 08:29 UTC≈4,480 viewsread 22 August 2026
Forwarded from @shabakehmagPhoto

🛡 مدیریت ریسک در امنیت سایبری چیست؟ یه باگ ساده… یه تهدید پنهون… کافیه یکی‌ش بزنه تا کل سیستم بخوابه! ⁉️ اما چطور میشه قبل از اینکه همه‌چی بریزه، ریسک رو مهار کرد؟ اینجاست که مدیریت ریسک میاد وسط: 👀 مانیتورینگ – ✅ پذیرش/🔄 انتقال – 🛠 کنترل – 📊 ارزیابی – 🔎 شناسایی 🔑 ولی راز اصلیش اونجاست که بدونی کِی باید کدوم مسیر رو بری… 🟢 مقاله کامل رو اینجا بخون: ➡️ shabakeh-mag.com/node/21612 ➖➖➖➖➖➖➖ 🌐 @ShabakehMAG 🐍 @Pytho

16 Aug 2025, 06:11 UTC≈6,020 viewsread 22 August 2026
Photo

👤 منابع انسانی داده محور چیست و چه ویژگی‌هایی دارد؟ ⏺منابع انسانی داده‌محور، رویکردی نوین در مدیریت سرمایه انسانی است که با تکیه بر داده‌ها و تحلیل‌های آماری، تصمیم‌گیری‌های استراتژیک را در حوزه منابع انسانی متحول می‌کند. در این رویکرد، داده‌های مربوط به کارکنان از منابع مختلف جمع‌آوری، یکپارچه و تحلیل می‌شوند تا... 🟢 متن کامل مقاله: ➡️ shabakeh-mag.com/node/21452 ➖➖➖➖➖➖➖ 🌐 @ShabakehMAG 🐍 @Python_0to100 🛡 @DENAI

26 Jul 2025, 08:26 UTC≈4,390 viewsread 22 August 2026
Forwarded from @shabakehmagPhoto

🤔 صف حلقوی یعنی چی؟ یعنی یه صف هوشمند که تهش به اولش وصله! 📦 داده‌ها می‌ریزن تو صف، ✅ بدون هدررفت، بدون شلوغی 🔁 جا که پر شه؟ خودش دور می‌زنه! ⚙️ کجا به درد می‌خوره؟ 🎯 تو بافر داده، صف چاپگر، زمان‌بندی CPU، روتر شبکه و کلی جای دیگه! 📌 اگه کار سیستمی یا برنامه‌نویسی می‌کنی، این ساختار رو باید بلد باشی! 📗 با کد پایتون و توضیح ساده از لیسنک زیر بخونش 👇 ➡️ shabakeh-mag.com/node/21481 ➖➖➖➖➖ 🌐 @ShabakehMAG 🐍 @Python_

24 Jul 2025, 08:34 UTC≈3,530 viewsread 22 August 2026
Forwarded from @shabakehmagPhoto

📉 یه باگ ساده… ⏱️ یه تأخیر بی‌جا… 😨 یه تصمیم اشتباه… کافیه یه جا حواست نباشه، کل کسب‌وکارت بپره! 🟢 اگه کسب‌وکارت برات مهمه، این مقاله رو الان بخون… نه وقتی دیر شده! مدیریت ریسک یعنی همین: بدونی چی قراره خراب شه — قبل از اینکه بشه! و اگه بلد باشی، نه‌تنها سقوط نمی‌کنی… بلکه از دل خطر، فرصت درمیاری! 📈 متن کامل مقاله: ➡️ shabakeh-mag.com/node/21565 ➖➖➖➖➖➖➖ 🌐 @ShabakehMAG 🐍 @Python_0to100 🛡 @DENAIT

21 Jul 2025, 07:39 UTC≈4,990 viewsread 22 August 2026
Photo

⏰ مصورسازی داده‌ها چیست و به چه صورتی انجام می‌شود؟ ⏺ مصورسازی داده‌ها (Data Visualization)، به معنای تبدیل داده‌ها به نمودار یا تصویری قابل فهم و تفسیر است. هدف اصلی مصورسازی داده‌ها، ارائه یک نمایش بصری از داده‌ها است که به کاربران کمک می‌کند الگوها، روابط و ویژگی‌های جالب داده‌ها را شناسایی کرده و اطلاعات مفیدی را استخراج کنند. در علم داده‌ها، مصورسازی داده‌ها یکی از مهم‌ترین ... 🟢 متن کامل مقاله: ➡️ shabakeh-

19 Jul 2025, 06:55 UTC≈3,580 views2 reactionsread 22 August 2026
Photo

⏰ چگونه از درخت تصمیم در علم داده‌ها استفاده کنیم؟ ⏺درخت تصمیم (Decision Tree) یکی از روش‌های مهم و پرکاربرد در علم داده‌ها است که برای مسائل تصمیم‌گیری و پیش‌بینی استفاده می‌شود. علاوه بر این، درخت تصمیم برای مسائل ... 🟢 متن کامل مقاله: ➡️ shabakeh-mag.com/node/21583 ➖➖➖➖➖➖➖ 🌐 @ShabakehMAG 🐍 @Python_0to100 🛡 @DENAIT

👍2

Showing the 12 most recent of 20 posts we hold for @python_0to100. 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 — 101,103 of 1,584,142entries 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

Named by 15 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.

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.

آموزش پایان نامه و مقاله نویسی پژوهه
@pajoohehgroup · 61,178
Telegram ranks this channel #16 of 87 here — alongside 86 others — read 22 August 2026
استخدامی ICDL فناوری اطلاعات کامپیوتر
@ICDL100 · 65,346
Telegram ranks this channel #27 of 91 here — alongside 90 others — read 21 August 2026
مهندس یار
@mohandesyar · 65,157
Telegram ranks this channel #36 of 90 here — alongside 89 others — read 21 August 2026
📖📚 شیفتگان کتــــــاب 📚📖
@shifteganketab · 83,668
Telegram ranks this channel #52 of 70 here — alongside 69 others — read 18 August 2026
آموزش برنامه نویسی و هوش‌مصنوعی | Max academy
@max_academy · 70,893
Telegram ranks this channel #69 of 83 here — alongside 82 others — read 20 August 2026
کتاب_جزوه و اخبار دانشگاهی
@jozve_iq · 97,942
Telegram ranks this channel #71 of 85 here — alongside 84 others — read 16 August 2026
MovarekhPodcast پادکست مورخ احمدهاشمی
@movarekhpodcast · 58,903
Telegram ranks this channel #84 of 91 here — alongside 90 others — read 22 August 2026

This channel appears in 7 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 21 August 2026 — this entry's latest reading, not the date you are reading this.

“برنامه‌نویسی | هوش مصنوعی | علم داده” (@python_0to100), 18,057 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/python_0to100.

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.