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Telegram profile photo for PY学院『供需频道』

Channel

PY学院『供需频道』

@python_heaven

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

13,796subscribers

+39 since we began measuring on 7 November 2026

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

Register entry

Telegram ID-1004455551994
TypeChannel
Username@python_heaven
Description这是一个专注分享实用干货与成长灵感的频道。每天用简短内容,带你了解新知识、新方法、新视角,帮你提升效率、拓宽思路。不灌水,只分享真正有用的内容。关注我,一起每天进步一点点,把想法变成行动,把行动变成习惯。
CreatedBetween 1 June 2026 and 30 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 November 2026
Last confirmed live8 November 2026
Measurements held3
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/python_heaven

Growth

13,75713,79613,776.57 Nov 2026, 16:47 — 13,757 subscribers7 Nov 2026, 17:22 — 13,757 subscribers8 Nov 2026, 11:19 — 13,796 subscribers7 Nov 2026, 16:478 Nov 2026, 11:19
3 measurements taken within a single day, net +39. 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 13,751–13,802 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Nov 2026, 11:1913,796+39
7 Nov 2026, 17:2213,757no change
7 Nov 2026, 16:4713,757first reading

Engagement

21 posts held, back to 31 October 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.

ERR · 30 days
6.93%
avg views ÷ 13,796 subscribers
Avg views / post
956
19 posts measured
Reaction rate
0.344%
reactions ÷ views · ER floor
Posts in window
21
of 21 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 14 of 19 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 8 November 2026
Posts held21 (31 October 2026 – 8 November 2026)
Views total18,169
Reactions total41
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Nov 2026, 06:34 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.

What this channel posts

Photos
4
Links
19

Lifetime counters from Telegram’s own channel header, read 9 November 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.

Reaction mix

41 reactions across 14 posts, in 3 distinct kinds. The most used accounts for 92.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3892.7%
❤24.88%
🥰12.44%

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 41 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 31 October 2026 to 8 November 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

Telegram’s own ‘edited’ marker: 1 of 21 posts held from the last 30 days (4.76%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

8 Nov 2026, 07:49 UTC172 views3 reactionsread 9 November 2026

zaka deepseek 鼎盛等机器人代刷邀请 用户名@j33556 诚信频道 https://t.me/jqr99988899 👤 @j33556 | 🕐 2026-11-08 15:49 🆘 供需仅作为广告展示,请尽量在官方群内发起担保交易,谨防被骗。

👍3

Signed 小念供需机器人

7 Nov 2026, 15:03 UTC229 views4 reactionsread 9 November 2026
Forwarded from @zhongzhuan12346789

【全网最全免费机器人合集·长期在线】 各位老板、白嫖党、路过的朋友们,今天给大家整理一波真正能用的免费机器人,不绕弯子、不收钱、不用问,点进去直接用🔪 👑 免费短信轰炸 👉 @xndxhzbot 想测试自己手机号抗不抗骚扰?想看看谁在背后搞你?拿去用,免费不限量。 🗿 免费Q反机器人 ✨ @qqchaxunbangding_bot Q号查绑定、查信息、反查身份,懂的都懂,免费的别错过。 🐈‍⬛ 免费京东模糊 👑 @jingdo520bot 京东订单、地址、信息模糊查询,免费开放,速度上车。 🙏 免费美团模糊 🥳 @meituanmohubot 美团相关模糊查询,免费不废话,用就完了。 ━━━━━━━━━━━━ ✅ 四大机器人全部免费 ✅ 24小时在线,秒回秒开 ✅ 不需要下载,不卡顿,不套路 ✅ 用完记得收藏,别到时候找不到了 ━━━━━━━━━━━━ 🌐 另外郑重承接以下业务: 🤘 机器人定制 🤩 软件定制…

👍4

7 Nov 2026, 11:29 UTCviews —

PY学院『供需频道』 pinned «#置顶广告 机器人代刷/zaka/deepseek找 @j33556 真实可信»

7 Nov 2026, 11:29 UTC393 views4 reactionsread 9 November 2026

#置顶广告 机器人代刷/zaka/deepseek找 @j33556 真实可信

👍4

7 Nov 2026, 08:58 UTC294 views3 reactionsread 9 November 2026

远洋平价查档-综合最强!什么都有 全网押金100000U+ 源头业务 网逃 45 立案 210 司法 180 手机轨迹 地图版55 手机轨迹 开普勒 85 手机定位 120起 淘宝闪购 65 美团地址 155 大关联 1250 五年飞火 400 十年单开 580 五年开同 1050 十年开同 1150 人物轨迹 850 人轨+开同 1350 北京地区开同 500 强提不带备注 1050 强提 普通版 1500 微提 配合版 1400 法院名下资产 450 资产大全套 1800 微信不带ID流水 320起 支付宝带ID流水 320起 微信带ID流水 2100起 反诈快线流水 190起 无盲个户开卡流水 270 无盲公户开卡流水 520 综合柜台开卡 个户420 公户730 四大九商柜台+地区银行流水 个户270 公户650 中国 农业 工商 建设 邮政 民生 柜台流水 55起 诚邀同行代理,批量可谈…

👍2❤1

6 Nov 2026, 23:30 UTC164 views1 reactionsread 9 November 2026
Forwarded from @pythonxueyuan

siwang证明批图机器人 @pitupitubot

👍1

6 Nov 2026, 18:50 UTC≈1,260 views1 reactionsread 9 November 2026

承接机器人源码定制/出售美团/京东/短信轰炸源码 👤 @xiaonian_qwq | 🕐 2026-11-07 02:50 🆘 供需仅作为广告展示,请尽量在官方群内发起担保交易,谨防被骗。

👍1

Signed 小念供需机器人

6 Nov 2026, 18:49 UTC≈1,230 viewsread 9 November 2026
Photo

张三甲爱宋佳林妈妈 流水爱柔柔妈妈 👤 @aaw188888 | 🕐 2026-11-07 02:49 🆘 供需仅作为广告展示,请尽量在官方群内发起担保交易,谨防被骗。

Signed 小念供需机器人

6 Nov 2026, 18:40 UTC≈1,250 viewsread 9 November 2026
File

🎫 已生成 5 张卡密 每张可用 1 次 批次:046cdf17 发给用户即可

Showing the 12 most recent of 21 posts we hold for @python_heaven. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

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 November 2026 — this entry's latest reading, not the date you are reading this.

“PY学院『供需频道』” (@python_heaven), 13,796 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/python_heaven.

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.