القناه للبيع الي بدو يشتريها يتواصل معي خاص @Ahmedarp
😢4

Channel
@Pythonarabe
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Handles named that no longer answer · Telegram's recommendations · Cite this entry
12,320subscribers
-89 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001257349764 |
|---|---|
| Type | Channel |
| Username | @Pythonarabe |
| Description | قناة عربية لتعلّم Python من الصفر بأسلوب مبسّط وعملي مع أمثلة وتمارين ومشاريع تساعدك تبني مهاراتك البرمجية خطوة بخطوة. |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 24 August 2026 |
| Measurements held | 17 |
| Confirmed unchanged | 1 time, most recently 24 August 2026 |
| On Telegram | t.me/Pythonarabe |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Aug 2026, 14:07 | 12,320 | -14 |
| 22 Aug 2026, 19:42 | 12,334 | -7 |
| 21 Aug 2026, 10:28 | 12,341 | -1 |
| 20 Aug 2026, 13:45 | 12,342 | -6 |
| 19 Aug 2026, 13:05 | 12,348 | +7 |
| 18 Aug 2026, 14:35 | 12,341 | +1 |
| 17 Aug 2026, 12:04 | 12,340 | -3 |
| 16 Aug 2026, 02:17 | 12,343 | -12 |
| 14 Aug 2026, 13:57 | 12,355 | -4 |
| 13 Aug 2026, 03:04 | 12,359 | -5 |
| 12 Aug 2026, 00:12 | 12,364 | -11 |
| 10 Aug 2026, 21:12 | 12,375 | -6 |
| 9 Aug 2026, 21:31 | 12,381 | -11 |
| 8 Aug 2026, 18:18 | 12,392 | -7 |
| 7 Aug 2026, 19:43 | 12,399 | -10 |
| 7 Aug 2026, 03:30 | 12,409 | no change |
| 7 Aug 2026, 03:20 | 12,409 | first reading |
21 posts held, back to 23 June 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 32 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 21 (23 June 2026 – 7 August 2026) |
| Views total | 434 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Aug 2026, 04:23 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.
Lifetime counters from Telegram’s own channel header, read 25 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
38 reactions across 13 posts, in 6 distinct kinds. The most used accounts for 71.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 27 | 71.1% | |
| 🔥 | 4 | 10.5% | |
| 😢 | 4 | 10.5% | |
| 🎉 | 1 | 2.63% | |
| 😁 | 1 | 2.63% | |
| 😱 | 1 | 2.63% |
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 14 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 38reactions 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 23 June 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.
القناه للبيع الي بدو يشتريها يتواصل معي خاص @Ahmedarp
😢4
⚡ مكتبة FastAPI — لبناء API سريع ببايثون إذا كنت تريد إنشاء REST API حديث بسرعة، فـ FastAPI خيار ممتاز لأنه يعتمد على type hints ويوفّر توثيقًا تلقائيًا عبر Swagger. التثبيت: pip install fastapi uvicorn مثال سريع: from fastapi import FastAPI app = FastAPI() @app.get("/hello") def hello(): return {"message": "Hello Pythonarabe"} التشغيل: uvicorn main:app --reload بعدها افتح: http://127.0.0.1:8000/docs المصا…
❤4
Remove Image Background using Python
❤3
Photo, posted without a caption
❤4
🌐 Flask-RESTful: بناء REST APIs بسهولة مع Flask مكتبة Flask-RESTful تساعدك على بناء REST API داخل Flask بطريقة مرتبة، حيث تنظّم كل Endpoint كـ Resource يحتوي دوال مثل get وpost. بدل كتابة routes كثيرة يدويًا، تستطيع فصل منطق الـ API في Classes واضحة، وهذا يجعل المشروع أسهل في التوسعة والصيانة. التثبيت: pip install Flask-RESTful مثال سريع: from flask import Flask from flask_restful import Api, Resource app = Flask…
❤4
🔐 Flask-Login: إدارة تسجيل الدخول في Flask مكتبة Flask-Login تساعدك على إدارة جلسات المستخدمين في تطبيقات Flask: تسجيل الدخول، تسجيل الخروج، تذكر المستخدم، وحماية الصفحات الخاصة. بدل ما تتعامل يدويًا مع session في كل صفحة، تعطيك أدوات جاهزة مثل login_user وlogout_user وlogin_required. التثبيت: pip install Flask-Login مثال سريع: from flask import Flask from flask_login import LoginManager, login_required app = Fla…
🛡️ تشويش كود Python باستخدام marshal يمكن استخدام marshal لتحويل كود Python إلى bytecode ثنائي ثم تشغيله لاحقًا، وهذا يجعل قراءة السورس مباشرة أصعب قليلًا. الفكرة: نقرأ ملف Python، نعمل له compile، ثم نخزن الناتج بصيغة marshal داخل ملف تشغيل صغير. التثبيت: marshal مدمجة مع Python ولا تحتاج تثبيت مثال مبسط: import marshal source = 'print("Protected code")' code = compile(source, "app.py", "exec") with open("app_…
🎉1
📦 marshal: تحويل كائنات Python إلى بيانات ثنائية مكتبة marshal مدمجة داخل Python، وتستخدم لتحويل بعض كائنات بايثون إلى صيغة ثنائية Binary ثم إرجاعها لاحقًا. أهم استخدام لها داخليًا داخل Python هو تخزين bytecode في ملفات .pyc، لذلك ستقابلها كثيرًا عند فهم طريقة عمل المفسر. التثبيت: ال marshal مدمجة مع Python ولا تحتاج تثبيت مثال سريع: import marshal data = {"name": "Ali", "level": 3} binary = marshal.dumps(data)…
😱1
🔐 PyCryptodome: تشفير احترافي داخل Python إذا كنت تحتاج تشفير بيانات، إنشاء مفاتيح، أو استخدام خوارزميات مثل AES وRSA داخل مشروعك، فمكتبة PyCryptodome تعتبر من أشهر الخيارات العملية في بايثون. تستخدمها عندما تريد حماية نصوص، ملفات، Tokens، أو بناء أدوات أمنية تعليمية بطريقة واضحة وسهلة. التثبيت: pip install pycryptodome مثال سريع لتشفير رسالة بـ AES: from Crypto.Cipher import AES from Crypto.Random import get_rand…
🔥3
إذا كنت تريد بناء تطبيقات ويب أو API بسرعة وببساطة في Python، فمكتبة Flask تعتبر من أشهر الخيارات وأخفها. مكتبة Flask هي إطار عمل صغير ومرن، مناسب جدًا للمبتدئين، وممتاز أيضًا للمشاريع السريعة وواجهات API والـ prototypes لأنك تبدأ به بسرعة بدون تعقيد كبير. التثبيت: pip install flask مثال سريع: from flask import Flask app = Flask(__name__) @app.route("/") def home(): return "Hello, Flask!" ممتاز لتطبيقات الو…
❤2😁1
إذا كنت تريد تشغيل أكثر من مهمة في نفس الوقت داخل برنامج Python، فمكتبة threading المدمجة تعتبر من أهم الأدوات التي يجب أن تعرفها. هذه المكتبة تسمح لك بإنشاء Threads لتشغيل وظائف متعددة بشكل متزامن، وهي مفيدة جدًا في المهام التي تنتظر الشبكة أو الملفات أو أي عمليات I/O بدلًا من جعل البرنامج يتوقف وينتظر. التثبيت: لا تحتاج تثبيت، لأنها مدمجة داخل Python مثال سريع: import threading def task(name): print(f"Hell…
❤3
تحدي بايثون: عدّ الكلمات اكتب برنامجًا يطلب من المستخدم إدخال جملة، ثم يطبع: - عدد الأحرف - عدد الكلمات - عدد مرات تكرار كل كلمة Example Input python is great and python is easy Expected Output Characters: 34 Words: 6 python: 2 is: 2 great: 1 and: 1 easy: 1 ### الشروط - اكتب الحل بنفسك #Python #Challenge #PythonChallenge
Showing the 12 most recent of 21 posts we hold for @Pythonarabe. 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.
@Pythonarabe 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 2 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 24 August 2026 — this entry's latest reading, not the date you are reading this.
“بايثون العربي | Python Arabe 🇵🇸” (@Pythonarabe), 12,320 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/Pythonarabe.
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.