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Channel

| کانال توسعه‌دهندگان پایتون |

@DevelopixPython

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

7,618subscribers

+63 since we began measuring on 13 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001878011921
TypeChannel
Username@DevelopixPython
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 August 2026
Last confirmed live21 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/DevelopixPython

Growth

7,5557,6187,586.513 August 2026 — 7,555 subscribers14 August 2026 — 7,570 subscribers17 August 2026 — 7,589 subscribers21 August 2026 — 7,618 subscribers13 August 202621 August 2026
4 measurements spanning 8 days, net +63. 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 7,546–7,627 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 05:277,618+29
17 Aug 2026, 20:177,589+19
14 Aug 2026, 22:587,570+15
13 Aug 2026, 15:467,555first reading

Engagement

19 posts held, back to 26 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
15.2%
avg views ÷ 7,618 subscribers
Avg views / post
1,160
6 posts measured
Reaction rate
0.318%
reactions ÷ views · ER floor
Posts in window
6
of 19 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 4 of 6 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held19 (26 May 202612 August 2026)
Views total6,949
Reactions total15
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Aug 2026, 10:58 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

Video runtime
5s
Average length
5s

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

76 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3850.0%
👍3343.4%
🔥56.58%

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 19 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 76reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 26 May 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

12 Aug 2026, 15:30 UTC778 viewsread 20 August 2026
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🔥 پروژه: ‏DSPy فریم‌ورک برنامه‌نویسی LLM DSPy یه فریم‌ورک پایتونی از آزمایشگاه NLP استنفورده که کمک می‌کند با LLMها برنامه‌نویسی کنی، نه Prompt نویسی دستی 🤖 به‌جای حفظ Promptها، ماژول‌های سطح‌بالا تعریف می‌کنی (مثلاً برای Question Answering، RAG یا Summarization) و DSPy خودش Prompt و Hyperparameterها را روی داده‌ات Optimize می‌کند. برای ساخت Pipelineهای پایدار روی GPT و مدل‌های متن‌باز، گزینهٔ خیلی جدی‌ایه. سورس‌ک

9 Aug 2026, 17:00 UTC901 views3 reactionsread 20 August 2026

مدیریت درست resource مثل فایل، connection دیتابیس یا lock، کلی باگ و Memory Leak بالقوه را حذف می‌کند. پایتون برای این کار Context Manager دارد که با کلمهٔ کلیدی with استفاده می‌شود. 😌 ساده‌ترین مثال، کار با فایل است؛ بدون نیاز به close() یادت نرود: with open("data.txt", "r", encoding="utf-8") as f: content = f.read() بعد از تمام شدن بلاک، فایل به‌صورت خودکار بسته می‌شود؛ حتی اگر exception رخ بدهد. 👌 برای reso

👍3

8 Aug 2026, 04:15 UTC≈1,030 views3 reactionsread 20 August 2026
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💠 نسخه جدید فریمورک جنگو (Django) منتشر شده است 🔸 ارتقا از نسخه 6.0.8 به 6.1.0 🔹 لیست تغییرات این نسخه: - رفع باگ امنیتی شدید در lookupهای مکانی - جلوگیری از DoS در check_for_language - محدود کردن عمق مجموعه‌های هندسی تودرتو - ایمن‌سازی لینک‌های URLField در ادمین - رفع کرش bulk_create روی برخی دیتابیس‌ها - به‌روزرسانی سازگاری با sqlparse 0.5.5 و موارد دیگر 🔖 #django, #python, #release 💎 @DevelopixPython

👍3

29 Jul 2026, 15:15 UTC≈1,460 viewsread 20 August 2026
Photo

💠 نسخه جدید کتابخانه FastAPI منتشر شده است 🔸 ارتقا از نسخه 0.140.13 به 0.141.0 🔹 لیست تغییرات این نسخه: - ✨ افزودن app.frontend(check_dir="auto") برای توسعهٔ ساده‌تر با fastapi dev - و بهبودهای جزئی دیگر، و غیره 🔖 #fastapi, #python, #release 💎 @DevelopixPython

25 Jul 2026, 17:00 UTC≈1,570 views7 reactionsread 20 August 2026

🐞 دیباگ سریع با تابع داخلی breakpoint() وقتی یک باگ سمج وسط کد ظاهر می‌شود، به‌جای پرینت گرفتن‌های پشت‌سرهم، استفاده از breakpoint() خیلی تمیزتر و سریع‌تر است. از Python 3.7 به بعد این تابع داخل خود زبان هست و نیازی به import جداگانه ندارد. کافی است هرجا نیاز به توقف و بررسی وضعیت متغیرها بود، یک breakpoint() بگذارید تا برنامه همان‌جا متوقف شود و وارد interactive debugger (پیش‌فرض: pdb) شوید. def process_items(ite

6👍1

25 Jul 2026, 08:30 UTC≈1,210 views2 reactionsread 20 August 2026
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💠 نسخه جدید کتابخانه FastAPI منتشر شده است 🔸 ارتقا از نسخه 0.139.2 به 0.140.0 🔹 لیست تغییرات این نسخه: - بهینه‌سازی مصرف حافظه در مدیریت وابستگی‌ها - افزودن مستندات جدید «Library Skills» - به‌روزرسانی مستندات برای استفاده پیش‌فرض از uv projects - بازسازی ساختار صفحات «FastAPI People» و حامیان - بهبود زیرساخت CI با افزودن بنچمارک حافظه و به‌روزرسانی حامیان و … 🔖 #fastapi, #python, #release 💎 @DevelopixPython

2

22 Jul 2026, 16:30 UTC≈1,150 viewsread 20 August 2026
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با Migration Boost هاست‌ایران، برای مهاجرت به سرور ابری دوباره هزینه ترافیک نده! 🚀 با خرید اولین سرور ابری غیرساعتی از **هاست‌ایران**، بسته ترافیک هدیه مهاجرت به‌صورت خودکار برای سرویس شما فعال می‌شود: ✅ حداقل ۱۰۰ گیگابایت ترافیک هدیه مهاجرت ✅ افزایش حجم هدیه متناسب با ظرفیت دیسک اولیه ✅ ترافیک آپلود رایگان ✅ بدون محدودیت زمانی سرور ابری هاست‌ایران را راه‌اندازی کنید و بکاپ‌ها، فایل‌ها و پایگاه داده خود را بدون دغ

22 Jul 2026, 05:45 UTC≈1,150 views1 reactionsread 20 August 2026
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💠 نسخه جدید محیط توسعه Pycharm منتشر شده است 🔸 ارتقا از نسخه 2026.1.4 به 2026.2 🔖 #pycharm, #python, #release 💎 @DevelopixPython

👍1

10 Jul 2026, 17:00 UTC≈1,870 views9 reactionsread 20 August 2026

خیلی وقت‌ها پوشه Downloads شبیه یک انباری شلوغ می‌شود؛ pdf، عکس، zip، هر چیزی قاطی هم 😅 امروز یک اسکریپت واقعی و ساده با Python می‌سازیم که فایل‌ها را بر اساس نوع، به پوشه‌های جدا منتقل کند. ایده از این آموزش الهام گرفته شده: Real Python - Working With Files in Python 🧠 ایده کلی Python برای کار با فایل‌ها و مسیرها کتابخانه‌های خیلی خوبی دارد، مخصوصاً pathlib و shutil. کاری که می‌کنیم: - پوشه Downloads را مانیتور

👍54

8 Jul 2026, 17:30 UTC≈1,390 views13 reactionsread 20 August 2026

چرا متود copy همیشه کپی واقعی نمی‌سازه؟ یکی از باگ‌هایی که حتی برنامه‌نویس‌های با تجربه هم گاهی باهاش روبه‌رو میشن، تفاوت بین Copy و Deep Copy هست فرض کنید این لیست رو داریم: data = [ ["Yasin", "Ali"], ["Math", "Science"] ] حالا ازش کپی می‌گیریم: new_data = data.copy() خیلی‌ها فکر می‌کنن new_data کاملاً مستقل از data شده اما اینطور نیست اگر این کار رو انجام بدیم: new_data[0].append("Sina") نتیجه: pr

👍93🔥1

2 Jul 2026, 13:00 UTC≈1,620 views3 reactionsread 20 August 2026
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💠 نسخه جدید کتابخانه FastAPI منتشر شده است 🔸 ارتقا از نسخه 0.138.1 به 0.139.0 🔹 لیست تغییرات این نسخه: - پشتیبانی از dependencies در app.frontend() - به‌روزرسانی ترجمه‌های چندزبانه مستندات - به‌روزرسانی فهرست متخصصان و مشارکت‌کنندگان FastAPI - بهبود تنظیمات مخزن‌ها و موضوعات GitHub - به‌روزرسانی وابستگی‌ها و GitHub Actions - سایر ریزبهبودهای داخلی و ترجمه‌ها و غیره 🔖 #fastapi, #python, #release 💎 @DevelopixPython

👍3

25 Jun 2026, 17:00 UTC≈1,990 views10 reactionsread 20 August 2026
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در کد اول، برای پردازش یک فایل بزرگ کل محتوا با read().splitlines() یک‌باره در مموری لود شده است. این کار هم ریسک Memory Error را بالا می‌برد و هم برای فایل‌های خیلی بزرگ باعث افت شدید کارایی می‌شود. در کد دوم با استفاده از یک generator و iteration تنبل (lazy) هر خط به‌صورت stream خوانده می‌شود و فقط همان لحظه در مموری قرار می‌گیرد. در مثال بالا به جای بارگذاری یک‌جای کل فایل، می‌توانید با الگوی generator و حلقه روی

5👍4🔥1

Showing the 12 most recent of 19 posts we hold for @DevelopixPython. 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

Names

Channels on the register whose handles appear in this channel's posts.

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.

برنامه نویسی | پایتون
@Pythoni_Developers · 75,700
Telegram ranks this channel #9 of 82 here — alongside 81 others — read 19 August 2026
Bmarz VPN فیلترشکن🚀
@bmarzvpn · 101,830
Telegram ranks this channel #21 of 42 here — alongside 41 others — read 15 August 2026
Python Forever
@PythonForever · 130,016
Telegram ranks this channel #53 of 76 here — alongside 75 others — read 13 August 2026

This channel appears in 3 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.

“| کانال توسعه‌دهندگان پایتون |” (@DevelopixPython), 7,618 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/DevelopixPython.

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.