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 21 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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
7 measurements spanning 39 days, net +20. 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 537–569 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Sept 2026, 20:19
561
-4
6 Sept 2026, 17:15
565
+8
29 Aug 2026, 20:34
557
+3
21 Aug 2026, 20:54
554
+10
14 Aug 2026, 12:37
544
+3
6 Aug 2026, 18:18
541
no change
6 Aug 2026, 08:24
541
first reading
Engagement
16 posts held, back to 26 February 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 1 page 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 16 posts for this entry, the most recent from 30 July 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
90 reactions across 15 posts, in 4 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
❤
56
62.2%
🔥
21
23.3%
👍
10
11.1%
👏
3
3.33%
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 16 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 90 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 26 February 2026 to 30 July 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.
میکسین (Mixin) در پایتون چیست و چرا به آن نیاز داریم؟
در OOP، برای افزودن قابلیتهای مشترک (مثل تبدیل به JSON یا لاگگیری) به کلاسهای نامرتبط، ساخت کلاس پایه مشترک باعث پیچیدگی میشود.
میکسین کلاسی معمولی در پایتون است که رفتار تکمنظوره و قابل استفاده مجدد را بدون ایجاد رابطه ارثبری سختگیرانه (Is-a) ارائه میدهد.
💡 چرا به جای ارثبری از Mixin استفاده کنیم؟
1️⃣ رعایت اصل DRY: حذف کدهای تکراری.
2️⃣ ترکیب به جای…
باگ میلیون دلاری
«خیلی وقت ها فکر میکنیم وجود چندتا باگ منطقی اونقدر مهم نیست، البته تا وقتی که همون باگ، ۴۴۰ میلیون دلار رو توی ۴۵ دقیقه دود نکنه. 💸»
توی این پست، ۵ داستان واقعی رو میبینیم که فقط بهخاطر تست نادرست، یه اشتباه انسانی یا تصمیم اشتباه در توسعه نرمافزار، به فاجعههای چندصد میلیون دلاری تبدیل شدن.
📌 راستی، اگه پستهای قبلی کانال رو درباره انواع باگها نخوندی، بعد از این پست حتماً یه نگاهی بهشون بند…
در این پست، یک خطای رایج هنگام استفاده از MRO را بررسی کردیم.
در برنامهنویسی شیگرا، MRO مخفف Method Resolution Order؛ یعنی ترتیب پیدا کردن متدهاست.
وقتی یک کلاس از چند کلاس دیگر ارثبری میکند، ممکن است یک متد در چند کلاس وجود داشته باشد.
اینجا MRO ترتیب جستجوی کلاس ها برای یافتن متد موردنظر را مشخص میکند.
پایتون از الگوریتمی به نام C3 Linearization استفاده میکند تا حالتی ایجاد کند که:
🔸️ترتیب ارثبری رعایت ش…
گاهی اوقات توجه نکردن به ساختار زبان میتونه ما رو در دام خطاهای منطقی گرفتار کنه.
توی این پست 3 تا از خطاهای ساده زبان پایتون رو بررسی کردیم.
این سری محتوا با معرفی خطاهای تخصصی تر ادامه خواهد داشت. 👩🏽🏫
در ادامهی مفاهیم زیرساختی پایه، با مفهوم CI/CD که بخش مهمی از این مسیر است، آشنا میشویم.
خط لوله CI/CD مثل یک کارخانه اتوماتیک است که کد خام را تحویل میگیرد، خودش آن را تست و بررسی میکند (Continuous Integration) و در صورت سالم بودن، روی سرورِ مستقر میکند (Continuous Deploy)
🔹 فاز CI
اینجا با بارگذاری کد در پلتفرمهایی نظیر GitHub یا GitLab، اکشنها بهطور خودکار فعال شده ، پروژه را build و تست میکنند. وجود کو…
دوستان با توجه به اینکه این کوییز خیلی چالشبرانگیز بوده، یه تحلیل سریع از این خطا رو میذارم اینجا.
اول اینکه هدف ما در معماری سیستم، جلوگیری از رخ دادن خطاست، نه صرفاً درمان خطایی که به وجود اومده.
چرا لود بالانسر نه؟
قابلیت Load Balancing مسئولیت تقسیم ترافیک رو داره؛ اما وقتی ظرفیت کل زیرساخت پر شده، تقسیم کردن ترافیک دیگه کمکی به کاهش مصرف CPU نمیکنه.
این خطا معمولاً در دو حالت رخ میده:
۱. محدودیت در سط…
Showing the 12 most recent of 16 posts we hold for @pythopiachannel. 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.
Mentions
Named by 2 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.
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 14 September 2026 — this
entry's latest reading, not the date you are reading this.
“Pythopia” (@pythopiachannel), 561 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/pythopiachannel.
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.