Channel
@python_rd
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
4,117subscribers
+49 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001599068288 |
|---|---|
| Type | Channel |
| Username | @python_rd |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 27 September 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 3 times, most recently 27 September 2026 |
| On Telegram | t.me/python_rd |
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 13 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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 |
|---|---|---|
| 11 Sept 2026, 15:55 | 4,117 | +7 |
| 6 Sept 2026, 17:58 | 4,110 | -1 |
| 2 Sept 2026, 01:25 | 4,111 | +36 |
| 30 Aug 2026, 06:03 | 4,075 | +3 |
| 24 Aug 2026, 01:38 | 4,072 | +3 |
| 20 Aug 2026, 18:25 | 4,069 | +1 |
| 17 Aug 2026, 18:13 | 4,068 | -1 |
| 14 Aug 2026, 19:54 | 4,069 | -4 |
| 8 Aug 2026, 00:18 | 4,073 | +5 |
| 7 Aug 2026, 10:47 | 4,068 | first reading |
21 posts held, back to 28 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 4 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 21 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
56 reactions across 16 posts, in 5 distinct kinds. The most used accounts for 44.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 25 | 44.6% | |
| 👍 | 13 | 23.2% | |
| 🔥 | 11 | 19.6% | |
| ❤🔥 | 6 | 10.7% | |
| 👎 | 1 | 1.79% |
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 16 of the 21 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 56 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 28 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.
🔆 آشنایی با عملگر والروس (:=) 🔹عملگر := (که به خاطر شباهتش به چشمان و عاجهای والروس، Walrus Operator نامیده میشه) از پایتون ۳.۸ معرفی شد. کار اصلیش اینه که به شما اجازه میده همزمان با مقداردهی متغیر، از اون استفاده هم بکنید (Assignment Expressions). 🔹این کار باعث میشه کد شما کوتاهتر، خواناتر و بهینهتر بشه. 🔹 کد بدون Walrus Operator (روش قدیمی): data = [1, 2, 3, 4, 5] n = len(data) if n > 3: print(f"تعداد ع…
❤2👍1
🔆اگه میخواید با عمیقترین و عجیبترین رفتارهای پایتون آشنا شید حتما این ریپو رو چک کنین. 🔹https://github.com/pablogsal/python-horror-show 🐍 @python_rd
🔆مستندی که درمورد یکی از محبوب ترین زبانهای دنیا یعنی پایتون ساخته شده و دیدنش کاملا پیشنهاد میشه. 🔹https://www.youtube.com/watch?v=GfH4QL4VqJ0 🐍 @python_rd
🔆 چطوری مثل یه پایتونکار حرفهای کد بزنم؟ 🔹 خیلی وقتها میخوایم مقداری رو از یک دیکشنری بگیریم، اما اگه کلید وجود نداشته باشه برنامهمون با KeyError کرش میکنه. ❌ روش مبتدی: user = {"name": "Ali", "role": "admin"} if "age" in user: age = user["age"] else: age = 18 ❌ روش مبتدی دیگه: try: age = user["age"] except KeyError: age = 18 ✅ روش حرفهای: age = user.get("age", 18) 🔹 چرا این روش عالیه؟ متد .ge…
❤9🔥1
این پستو مطالعه کنید و دوباره به تست جواب بدید
میبینم که پستای کانالو مطالعه نمیکنین
🔆 تست! 🔸 خروجی چیه؟ x = 256 y = 256 print(x is y) m = 257 n = 257 print(m is n) 🐍 @pyrhon_rd
🔥1
🔆 یه کتابخانه کاربردی برای ساختارمند کردن لاگها تو پایتون که باعث میشه لاگها بهصورت JSON و قابل پردازش باشن و راحتتر به ابزارهایی مثل Grafana یا ELK ارسال و تحلیل شن. https://www.structlog.org 🐍 @python_rd
👍1
🔆 مشاهده رمز های ذخیره شده شبکه های وای فای در ویندوز. 🔹 کد: import subprocess profiles = subprocess.check_output( "netsh wlan show profiles", shell=True ).decode() names [] for line in profiles.split("\n"): if "All User Profile" in line: names.append(line.split(":")[1].strip()) for i, name in enumerate (names, 1): print(f"[{i}] {name}") choice = int(input("\nChoose WiFi number: ")) result = subprocess.ch…
🔥1
🔆 ترفند تمیز: مقداردهی خودکار دیکشنری با defaultdict 🔹تا حالا شده بخوای توی یک دیکشنری بستهبندی یا گروهبندی انجام بدی و هی مجبور باشی وجود کلید رو بررسی کنی؟ 🔹 روش پردردسر: data = {} # اگر کلید نباشه، خطای KeyError میده! if "fruits" not in data: data["fruits"] = [] data["fruits"].append("apple") 🔹 روش حرفهای با defaultdict: from collections import defaultdict # مشخص میکنیم مقدار پیشفرض یک لیست خالی باشه …
🔥2
🔆 اعدادی که تو پایتون هیچوقت پاک نمیشن! 🔹 میدونستی پایتون یه کلوپ اختصاصی برای اعدادی داره که هیچوقت از حافظه RAM پاک نمیشن؟ 🔹تو پایتون، تکنیکی به نام Integer Caching یا Small Integer Optimization وجود داره. 🔹 یعنی چی؟ وقتی پایتون بالا میاد، اعدادی از -5 تا 256 رو مپ میکنه و به صورت ثابت تو RAM نگه میداره. هر وقت او کدتون از این اعداد استفاده کنید، پایتون متغیر جدیدی تو حافظه نمیسازه، بلکه اشارهگر رو رو…
❤3
🔆 لاگگیریِ حرفهای بدون دردسر با Loguru 🔹ماژول استاندارد logging او پایتون قدرتمنده، ولی کانفیگ کردن و تنظیمات اولیه اش پیچیده و زمانبره. کتابخانه Loguru اومده تا لاگگیری رو به سادهتر کنه. 🛠 نصب کتابخانه: pip install loguru 🔹مثال: from loguru import logger # فقط با همین یک خط خروجی رنگی و استاندارد بگیرید! logger.info("سرور با موفقیت روشن شد.") logger.warning("میزان مصرف RAM بالا رفته است!") # ذخیره خودکار لاگ…
👍3
Showing the 12 most recent of 21 posts we hold for @python_rd. 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.
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.
@python_rd named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 14 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 11 September 2026 — this entry's latest reading, not the date you are reading this.
“PyCoders (پایتون)” (@python_rd), 4,117 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/python_rd.
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.