یک مثال مفهومی و کارا از پکیج بهینه سازی OR-Tools روی سایت همراه با کد پایتون آن https://optexpert.org/notes/cp_intro/ ویدیو توضیحات: یوتیوب : https://youtu.be/37gDpYTUHcw آپارات : https://www.aparat.com/v/ycd6yz1 تماس @pypyid
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Channel
@pyomochannel
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
2,754subscribers
-2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001244851596 |
|---|---|
| Type | Channel |
| Username | @pyomochannel |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 October 2026 |
| Measurements held | 17 |
| Confirmed unchanged | 1 time, most recently 10 October 2026 |
| On Telegram | t.me/pyomochannel |
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 15 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Oct 2026, 21:56 | 2,754 | -7 |
| 4 Oct 2026, 19:20 | 2,761 | -7 |
| 24 Sept 2026, 20:37 | 2,768 | -1 |
| 16 Sept 2026, 16:20 | 2,769 | -2 |
| 12 Sept 2026, 10:15 | 2,771 | +1 |
| 8 Sept 2026, 11:39 | 2,770 | -6 |
| 2 Sept 2026, 20:16 | 2,776 | +3 |
| 30 Aug 2026, 15:52 | 2,773 | -1 |
| 27 Aug 2026, 17:08 | 2,774 | +11 |
| 25 Aug 2026, 01:45 | 2,763 | -3 |
| 21 Aug 2026, 19:34 | 2,766 | +3 |
| 18 Aug 2026, 06:54 | 2,763 | +1 |
| 15 Aug 2026, 09:18 | 2,762 | -1 |
| 9 Aug 2026, 05:50 | 2,763 | +6 |
| 6 Aug 2026, 07:30 | 2,757 | +1 |
| 6 Aug 2026, 05:17 | 2,756 | no change |
| 6 Aug 2026, 03:51 | 2,756 | first reading |
23 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 2 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 23 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
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.
169 reactions across 20 posts, in 15 distinct kinds. The most used accounts for 32.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 54 | 32.0% | |
| 💯 | 41 | 24.3% | |
| 👍 | 19 | 11.2% | |
| 👌 | 14 | 8.28% | |
| 👏 | 13 | 7.69% | |
| ❤🔥 | 8 | 4.73% | |
| 🗿 | 6 | 3.55% | |
| 🤩 | 3 | 1.78% | |
| 🤬 | 3 | 1.78% | |
| 👀 | 2 | 1.18% | |
| 😱 | 2 | 1.18% | |
| ⚡ | 1 | 0.592% | |
| 🆒 | 1 | 0.592% | |
| 🌚 | 1 | 0.592% | |
| 🫡 | 1 | 0.592% |
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 23 of the 23 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 194 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 21 July 2026 to 7 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.
یک مثال مفهومی و کارا از پکیج بهینه سازی OR-Tools روی سایت همراه با کد پایتون آن https://optexpert.org/notes/cp_intro/ ویدیو توضیحات: یوتیوب : https://youtu.be/37gDpYTUHcw آپارات : https://www.aparat.com/v/ycd6yz1 تماس @pypyid
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مدلسازی و بهینه سازی تلفات شبکه در پخش بار AC انجام شد دوره بهینه سازی پیشرفته سیستم قدرت در پایتون طوری طراحی شده که هر زمان بخوایید بتونید به اون جوین بشید پس اگر این همه را به قدرت خدا نموده خلقت ———» @pypyid
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مقاله جالب در زمینه بهره برداری شبکه قدرت و استخراج هیدروژن این کار پژوهشی میاد و تولیدات تجدیدپذیر رو در کنار استخراج هیدروژن بهینه می کنه یکی از ترندهای جهانی در مطالعات پاور سیستمی
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چون امروز در دوره بهینه سازی پیشرفته سیستم قدرت در پایتون پخش بار ACOPF تدریس شد ویدیو جدیدمون رو در سایت جدیدمون ببینید https://optexpert.org/notes/acstudies سپاس از دوست گرامی که لطف داشتند و سایت رو راه اندازی کردند برای کانال تماس @pypyid
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امروز در دوره بهینه سازی پیشرفته سیستم قدرت در پایتون درباره مدلسازی پاسخگویی بار اهمیتش نحوه مدلسازی در پایتون جایابی اون در پخش بار DC صحبت کردیم کد کردیم و خروجی کرفتیم https://www.aparat.com/v/cix0893 دوره طوری طراحی شده که هر زمان بخوایید بتونید به اون جوین بشید @pypyid
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شرکت گوگل که توسعه دهنده و پشتیبان پکیج فوق العاده ORTools هست کد های همین کانال رو به عنوان مثال در صفحه گیت هابش اورده اگر دوست دارید شما هم به جمع متخصصین بهینه سازی بپیوندید کافی است با ادمین پشتیبانی تماس حاصل کنید و در دوره اموزشی جامع استفاده از پکیج بهینه سازی گوگل شرکت کنید یا در باره پروژتون مشاوره رایگان بگیرید @pypyid
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پاسخ اینجاست همراه با کد پایتون و توضیحات https://www.linkedin.com/pulse/how-kitty-cat-found-best-foods-using-cp-alireza-soroudi-phd-hjv1f/
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یه چالش مون نشه ؟ این رو کد کنید (بگم از هوش مصنوعی استفاده نکنید یا نه لازم به گفتن نیست ؟) ۱- آماده سازی دیتا ۲- مدل نویسی ۳- کدنویسی ۴- مصور سازی خروجی رو باید یاد بگیرید آموزش جامع استفاده از پکیج بهینه سازی گوگل python OrTools تماس @pypyid
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مدل چند دوره ای پخش بار DCتکمیل شد مدلسازی تولید باد و خورشید نیز به آن اضافه شد دوره بهینه سازی پیشرفته سیستم قدرت در پایتون فقط یک تماس @pypyid
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دوستان سلام این پست مخاطبش عزیزان ساکن ایران هست با فیلترنت داریم سایت رو برای دسترسی ساده تر راه اندازی می کنیم https://optexpert.org/ لطف کنید باز کنید و بفرمایید اگر باز نمیشه و فیلتره با کدوم سرویس ندهنده باز نمیشه ؟ بدون فیلترشکن تست بفرمایید - نت گوشی همراه اول - نت گوشی ایرانسل - نت مخابرات - نت پارس آنلاین - نت شاتل سپاس از شما کامنت کنید لطفا یا پیام بدید @pypyid
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دوره بهینه سازی پیشرفته سیستم قدرت در پایتون داره جلو میره و مباحث جذابی در اون مطرح میشه هم تیوری رو کاور کردیم هم کدنویسی ویدیو توضیح ضرایب PTDF و اهمیت معادلات N-1 این جلسه : اگر یک ژنراتور یا خط انتقال از دست رفت (قطع شد به هر دلیل) چه بلایی سر مابقی سیستم قدرت میاد ؟ چه کاری بکنیم که بلا سرمون نیاد ؟ هنوز هم دیر نشده اگر دوست دارید جوین بشید. تماس @pypyid
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راه رو که غلط میرید حداقل اسم راه غلط رو درست یاد بگیرید
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Showing the 12 most recent of 23 posts we hold for @pyomochannel. 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.
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.
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.
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.
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.
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 10 October 2026 — this entry's latest reading, not the date you are reading this.
“Pyomo, python, optimization بهینه سازی و تحقيق در عمليات در پایتون” (@pyomochannel), 2,754 subscribers as measured 10 October 2026. Telegram Register, tgregister.com/channel/pyomochannel.
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.