پایتون چیه و چطوری به وجود اومد؟! 💡 🐍 پایتون یه زبان برنامهنویسی سطح بالا تفسیر شده برای برنامه نویسی عمومی هستش. این زبان برنامهنویسی با زبانهایی مثل جاوا و سیشارپ یکم فرق داره! مثلا آخر هر کد لازم نیست ; گذاشته بشه یا برای بلاکهای کد از {} استفاده نمیشه. به جاش از تو رفتگیهای کدها که بعدا توضیح میدم مفسر متوجه میشه که این یک بلاک کد هستش. 👨💻 زبان برنامهنویسی پایتون توی سال 1991 میلادی توسط یه برنامهنویس …

Channel
DarkByte
@pythondark
On this record: Growth · Engagement · Posts · Citations · Cite this entry
193subscribers
-5 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004396831848 |
|---|---|
| Type | Channel |
| Username | @pythondark |
| Created | Between 1 June 2026 and 6 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 8 August 2026 |
| On Telegram | t.me/pythondark |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 13:42 | 193 | -5 |
| 8 Aug 2026, 11:34 | 198 | no change |
| 8 Aug 2026, 10:30 | 198 | first reading |
Engagement
20 posts held, back to 6 August 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 25.7%
- avg views ÷ 193 subscribers
- Avg views / post
- 49.6
- 20 posts measured
- Reaction rate
- 0%
- reactions ÷ views · ER floor
- Posts in window
- 20
- of 20 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 2 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (6 August 2026 – 7 August 2026) |
| Views total | 993 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 11:34 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.
Recent posts
6 پروژه پایتون برای ارتقا رزومه شما 🗓 #ایده #پروژه ➖➖➖➖➖➖➖ ▪️🐍 @pythondark 🐍▪️
دانلود کتاب Python Crash Course توضیحات در بالا 👆 ➖➖➖➖➖➖➖ ▪️🐍 @pythondark 🐍▪️
[کتابهای پایتونی🐍] معرفی کتاب: Python Crash Course 💡این کتاب هم برای مبتدیان مناسب است که میخواهند وارد دنیای برنامه نویسی شوند؛ هم برای حرفه ای هایی که میخواهند زبان پایتون را به واسطه پروژه جدیدی تجربه کنند. هدف از این کتاب این است امکان نوشتن برنامه های واقعی در هر زمانی را داشته باشید. 💎 این کتاب 562 صفحه است که به طور عمده در دو بخش قرار میگیرد. بخش اول کتاب مبانی برنامه نویسی پایتون را مورد بحث قرار داده …
برنامه ساخت QrCode با پایتون 💻 سطح: متوسط رو به پایین ⭐️ برای اجرای این برنامه باید حتما کتابخونه pyqrcode رو با دستور زیر نصب کنید: ➡️ pip install pyqrcode #سورس_کد #برنامه ➖➖➖➖➖➖➖ ▪️🐍 @pythondark🐍▪️
دانلود ویدیو از یوتیوب با پایتون 🎥 سطح: ساده ⭐️ برای این برنامه ابتدا کتابخانه pafy را نصب کنید. با دستور زیر: ➡️ pip install pafy #سورس_کد #برنامه ➖➖➖➖➖➖➖ ▪️🐍 @pythondark 🐍▪️
با یادگیری پایتون چه کاره میتوانیم شویم؟ 🤓 💥 توسعه دهنده یادگیری ماشین 💥 داده کاوی یا Data mining 💥 توسعه دهنده سمت سرور وب 💥 مهندس توسعه نرم افزار 💥 تحلیلگر سیستم های اطلاعات جغرافیایی یا GIS 💥 مهندس تست نرم افزار #نکته #معرفی #ترجمه ➖➖➖➖➖➖➖ ▪️🐍 @pythondark🐍▪️
کتاب Python For Everybody 📚 توضیحات در پست بالا 🔺 ➖➖➖➖➖➖➖ ▪️🐍 @pythondark 🐍▪️
[معرفی و دانلود کتاب] 📖 نام کتاب: Python For Everybody 👤 نویسنده: Dr. Charles R. Severance 🔖 تعداد صفحات: 249 🎈 سطح: مبتدی + متوسط ✨ هدف این کتاب رساندن شما از سطح صفر به سطح متوسط در پایتون است. در این کتاب مطالب و مفاهیم پایه پایتون به شما درس داده میشود. پایتونی که در این کتاب استفاده شده نسخه 3 است اما این کتاب برای نسخه 2 پایتون هم در دسترس است. همچنین این کتاب برای کسانی که میخواهند در حوزه دیتاساینس فعالیت ک…
[معرفی وبسایت] پایتون در همه جا..! 🤩 🌐 pythonanywhere.com 💠 شما در این وبسایت میتوانید پایتون بنویسید! مثل کامپیوترتان! اما تفاوتی که این وبسایت با کامپیوتر شما دارد این است که میتوانید یک برنامه پایتونی را در حال اجرا بگذارید و وبسایت را ببندید و برنامه شما برای همیشه در حال اجرا میماند! این وبسایت برای اسکریپتهایی که نیاز دارند همیشه اجرا شوند خیلی کاربردی است. مثل باتهای تلگرامی و... #معرفی_وبسایت ➖➖➖➖➖➖➖ ▪️🐍 …
دانلود کتاب Elements of Programming Interviews in Python توضیحات در بالا 👆 ➖➖➖➖➖➖➖ ▪️🐍 @pythondark🐍▪️
[کتابهای پایتونی🐍] معرفی کتاب: Elements of Programming Interviews in Python اگر به دنبال کتابی برای حل مسئله هستین این کتاب مخصوص شماس! توی این کتاب 250 تا مسئله وجود داره که شما رو به چالش میکشه! این مسائل از سوالات استخدامی که شرکتهای مختلف داشتن گرفته شده و به شکل خوبی کنار هم چیده شده تا شما بتونید حداکثر استفاده رو از کتاب ببرید.❤️ 🔻 دانلود کتاب در پست بعدی 🔻 #کتاب #معرفی ➖➖➖➖➖➖➖ ▪️🐍 @pythondark 🐍▪️
Showing the 12 most recent of 20 posts we hold for @pythondark. 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.
Citation-graph rank
Citation-graph rank — 1,072,826 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 1 registered channel — 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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“DarkByte” (@pythondark), 193 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/pythondark.
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.