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Channel

بايثون العرب

@pyt_ar

On this record: Growth · Engagement · Reactions · Posts · Posts edited after publishing · Telegram's recommendations · Cite this entry

10,977subscribers

-247 since we began measuring on 10 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001963319279
TypeChannel
Username@pyt_ar
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live7 September 2026
Measurements held24
Confirmed unchanged1 time, most recently 7 September 2026
On Telegramt.me/pyt_ar

Growth

10,97711,22411,100.510 August 2026 — 11,224 subscribers11 August 2026 — 11,220 subscribers12 August 2026 — 11,213 subscribers12 August 2026 — 11,202 subscribers14 August 2026 — 11,184 subscribers15 August 2026 — 11,171 subscribers17 August 2026 — 11,153 subscribers18 August 2026 — 11,139 subscribers19 August 2026 — 11,134 subscribers20 August 2026 — 11,131 subscribers21 August 2026 — 11,128 subscribers22 August 2026 — 11,114 subscribers24 August 2026 — 11,091 subscribers25 August 2026 — 11,082 subscribers26 August 2026 — 11,072 subscribers27 August 2026 — 11,073 subscribers28 August 2026 — 11,062 subscribers30 August 2026 — 11,056 subscribers31 August 2026 — 11,046 subscribers1 September 2026 — 11,037 subscribers2 September 2026 — 11,029 subscribers3 September 2026 — 11,018 subscribers4 September 2026 — 11,010 subscribers7 September 2026 — 10,977 subscribers10 August 20267 September 2026
24 measurements spanning 29 days, net -247. 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 10,940–11,261 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
7 Sept 2026, 23:5610,977-33
4 Sept 2026, 22:0111,010-8
3 Sept 2026, 09:2211,018-11
2 Sept 2026, 02:5311,029-8
1 Sept 2026, 00:2711,037-9
31 Aug 2026, 00:2511,046-10
30 Aug 2026, 01:3711,056-6
28 Aug 2026, 06:4311,062-11
27 Aug 2026, 06:3511,073+1
26 Aug 2026, 10:0211,072-10
25 Aug 2026, 12:2411,082-9
24 Aug 2026, 11:0611,091-23
22 Aug 2026, 16:1711,114-14
21 Aug 2026, 04:3311,128-3
20 Aug 2026, 05:4111,131-3
19 Aug 2026, 08:5611,134-5
18 Aug 2026, 09:1211,139-14
17 Aug 2026, 10:4711,153-18
15 Aug 2026, 20:4211,171-13
14 Aug 2026, 07:5611,184first reading

Engagement

40 posts held, back to 21 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 35 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.962%
avg views ÷ 10,977 subscribers
Avg views / post
106
20 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
20
of 40 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 29 August 2026
Posts held40 (21 July 202629 August 2026)
Views total2,113
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 02:15 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.

Reaction mix

3 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3100.0%

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 3 of the 40 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 40 most recent posts we hold, published 21 July 2026 to 29 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

29 Aug 2026, 15:06 UTC80 viewsread 3 September 2026

✨ تحسين أداء Python: استخدام List Comprehensions! هل تريد كتابة كود Python أكثر إيجازًا وفعالية؟ جرب استخدام List Comprehensions! طريقة رائعة لإنشاء قوائم جديدة بناءً على قوائم موجودة. numbers = [1, 2, 3, 4, 5] squares = [n**2 for n in numbers] print(squares) # مقارنة مع الطريقة التقليدية: # squares_old = [] # for n in numbers: # squares_old.append(n**2) # print(squares_old) List Comprehensions توفر طريقة مخت

28 Aug 2026, 15:06 UTC86 viewsread 3 September 2026

💡 تحسين أداء Python باستخدام List Comprehensions! هل تريد كتابة كود Python أكثر إيجازًا وكفاءة؟ تعلم كيف تستخدم List Comprehensions لتحقيق ذلك! numbers = [1, 2, 3, 4, 5] squares = [n**2 for n in numbers] print(squares) # مقارنة مع الطريقة التقليدية: squares_traditional = [] for n in numbers: squares_traditional.append(n**2) print(squares_traditional) List Comprehensions توفر طريقة مختصرة لإنشاء القوائم. بدلاً

27 Aug 2026, 15:06 UTC90 viewsread 3 September 2026

🚀 تسريع عمليات البحث في بايثون! 🚀 هل سئمت من البحث البطيء في القوائم والنصوص؟ إليك حيلة سريعة باستخدام `in`! my_list = list(range(1000000)) search_item = 999999 # الطريقة التقليدية (أبطأ) if search_item in my_list: print("العنصر موجود (بالطريقة التقليدية)") # طريقة أسرع باستخدام set (للبحث المتكرر) my_set = set(my_list) if search_item in my_set: print("العنصر موجود (باستخدام set)") عند البحث عن عنصر في

26 Aug 2026, 15:06 UTC97 viewsread 3 September 2026

✨ تحسين أداء Python: استخدام `list comprehension` ✨ هل تريد كتابة كود Python أكثر إيجازًا وكفاءة؟ تعلم كيف يمكن لـ `list comprehension` تبسيط مهامك! numbers = [1, 2, 3, 4, 5] squares = [x**2 for x in numbers] print(squares) بدلاً من كتابة حلقة `for` تقليدية لإنشاء قائمة جديدة، تسمح لك `list comprehension` بإنشاء قوائم جديدة بطريقة موجزة وواضحة. في هذا المثال، قمنا بإنشاء قائمة `squares` تحتوي على مربعات كل رقم في

25 Aug 2026, 15:05 UTC90 viewsread 3 September 2026

✨ تلميح بايثون: استخدام enumerate() بسهولة ✨ هل سئمت من تتبع الفهارس يدويًا عند المرور على قائمة؟ تابع هذا التلميح السريع لاستخدام `enumerate()`! my_list = ['تفاحة', 'موز', 'كرز'] for index, value in enumerate(my_list): print(f'الفهرس: {index}, القيمة: {value}') الدالة `enumerate()` في بايثون تضيف عدادًا إلى قابل للتكرار (مثل القوائم) وتعيده ككائن `enumerate`. يمكنك بعد ذلك فك هذا الكائن إلى الفهرس والقيمة في

24 Aug 2026, 15:05 UTC91 viewsread 3 September 2026

💡 تحسين أداء Python: استخدام List Comprehensions! 🚀 هل تبحث عن طريقة لكتابة كود Python أكثر إيجازًا وكفاءة؟ تعلم كيف تجعل قوائمك تنشأ بأسلوب أنيق ومُحسَّن مع List Comprehensions! numbers = [1, 2, 3, 4, 5] squares = [x**2 for x in numbers] print(squares) # مقارنة مع الحلقة التقليدية: # squares_loop = [] # for x in numbers: # squares_loop.append(x**2) # print(squares_loop) List Comprehensions توفر طريقة مختصرة

23 Aug 2026, 15:05 UTC87 viewsread 3 September 2026

🚀 تحسين أداء Python: استخدام `__slots__` هل تعاني من استهلاك ذاكرة كبير في كائنات Python الخاصة بك؟ اكتشف كيف يمكن لـ `__slots__` أن يساعد في تحسين الأداء وتقليل استهلاك الذاكرة. class Point: __slots__ = ('x', 'y') def __init__(self, x, y): self.x = x self.y = y # بدون __slots__: class PointWithoutSlots: def __init__(self, x, y): self.x = x self.y = y import sys p1 =

22 Aug 2026, 15:05 UTC84 viewsread 3 September 2026

🚀 تحسين أداء Python: استخدام list comprehensions! هل تريد كتابة كود Python أكثر كفاءة وإيجازًا؟ إليك طريقة سريعة وفعالة باستخدام list comprehensions! squares = [x**2 for x in range(10)] print(squares) بدلاً من كتابة حلقة for تقليدية لإنشاء قائمة، تسمح لك list comprehensions بإنشاء قوائم في سطر واحد. هذا يجعل الكود أسهل في القراءة وأسرع في التنفيذ في كثير من الحالات. ['#Python', '#برمجة', '#تطوير', '#ListComprehen

21 Aug 2026, 15:05 UTC85 viewsread 3 September 2026

✨ تحسين أداء Python: استخدام `enumerate` بكفاءة ✨ هل سئمت من تتبع الفهارس يدويًا عند المرور على قوائمك في Python؟ هناك طريقة أفضل وأكثر أناقة! my_list = ['apple', 'banana', 'cherry'] # الطريقة التقليدية (أقل كفاءة) index = 0 for item in my_list: print(f'Index: {index}, Item: {item}') index += 1 print('\n--- باستخدام enumerate ---') # الطريقة الحديثة والمفضلة باستخدام enumerate for index, item in enumerat

20 Aug 2026, 15:05 UTC101 viewsread 3 September 2026

✨ تحسين أداء Python: استخدام `enumerate` بكفاءة ✨ هل سئمت من كتابة عدادات يدوية في حلقات Python؟ إليك طريقة أنيقة ومُحسّنة لاستخدام `enumerate`! my_list = ['تفاحة', 'موز', 'كرز'] for index, value in enumerate(my_list): print(f"العنصر في الفهرس {index} هو: {value}") # يمكنك أيضًا تحديد فهرس بداية مختلف for index, value in enumerate(my_list, start=1): print(f"العنصر رقم {index} هو: {value}") الدالة `enumer

19 Aug 2026, 15:05 UTC104 viewsread 3 September 2026

🚀 تنظيم الكود باستخدام الدوال في بايثون هل تبحث عن طريقة لجعل الكود الخاص بك أكثر تنظيمًا وقابلية للقراءة؟ الدوال هي الحل السحري! تعرف على كيفية استخدامها بفعالية. def greet(name): return f"Hello, {name}!" message = greet("World") print(message) def add_numbers(a, b): return a + b result = add_numbers(5, 3) print(f"The sum is: {result}") الدوال (functions) تسمح لك بتجميع مجموعة من الأوامر لأداء مهمة معي

18 Aug 2026, 15:05 UTC105 viewsread 3 September 2026

✨ تحسين أداء Python: استخدام `enumerate` بكفاءة ✨ هل سئمت من تتبع الفهارس يدويًا في حلقات Python؟ إليك طريقة أنيقة لتبسيط الكود الخاص بك! my_list = ['تفاحة', 'موز', 'برتقال'] for index, value in enumerate(my_list): print(f'العنصر في الفهرس {index} هو: {value}') الدالة `enumerate()` المدمجة في Python تسمح لك بالمرور عبر قائمة (أو أي تسلسل آخر) مع الحصول على كل من الفهرس والقيمة في كل تكرار. هذا يجعل الكود أكثر

Showing the 12 most recent of 40 posts we hold for @pyt_ar. 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.

Posts edited after publishing

@pyt_ar edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
15 August 2026
Most recent edit
15 August 2026

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.

​أدوات وأخبار الذكاء الاصطناعي | AI Tools & News
@fa_tv · 32,114
Telegram ranks this channel #2 of 45 here — alongside 44 others — read 5 September 2026
معلومات عامة،ثقافة، علوم،،تكنولوجيا، ابتكارات، اختراعات
@h_tuf · 93,393
Telegram ranks this channel #6 of 78 here — alongside 77 others — read 16 August 2026
اقتراحات افلام، توصيات مسلسلات
@AFlam_ra · 104,927
Telegram ranks this channel #12 of 51 here — alongside 50 others — read 17 August 2026
تعليم اللغة الانجليزية
@Einglish_ra · 88,926
Telegram ranks this channel #46 of 82 here — alongside 81 others — read 17 August 2026
غيمة خير
@tg2ra · 94,723
Telegram ranks this channel #62 of 81 here — alongside 80 others — read 16 August 2026
فيديوهات
@Video_ra · 365,980
Telegram ranks this channel #62 of 80 here — alongside 79 others — read 10 August 2026
رسائل حب ، حبيبتي ، حبيبي
@ln_tv · 98,795
Telegram ranks this channel #71 of 75 here — alongside 74 others — read 15 August 2026
♻️ علم النفس ♻️ تطوير الذات
@TV11AR · 144,411
Telegram ranks this channel #72 of 81 here — alongside 80 others — read 13 August 2026

This channel appears in 8 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 7 September 2026 — this entry's latest reading, not the date you are reading this.

“بايثون العرب” (@pyt_ar), 10,977 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/pyt_ar.

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.