Telegram RegisterThe public register of Telegram

Channel

Python潮流周刊🐍

@pythontrendingweekly

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

4,456subscribers

+12 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001928222538
TypeChannel
Username@pythontrendingweekly
CreatedBetween 1 March 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/pythontrendingweekly

Growth

4,4444,4564,4507 August 2026 — 4,444 subscribers8 August 2026 — 4,448 subscribers10 August 2026 — 4,456 subscribers7 August 202610 August 2026
3 measurements spanning 4 days, net +12. 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 4,442–4,458 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 23:024,456+8
8 Aug 2026, 01:524,448+4
7 Aug 2026, 10:014,444first reading

Engagement

21 posts held, back to 24 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 6 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
17.2%
avg views ÷ 4,456 subscribers
Avg views / post
765
7 posts measured
Reaction rate
0.063%
reactions ÷ views · ER floor
Posts in window
7
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 2 of 7 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 August 2026
Posts held21 (24 May 20268 August 2026)
Views total5,356
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 18:05 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

9 reactions across 7 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9100.0%

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 8 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 9reactions 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 24 May 2026 to 8 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

8 Aug 2026, 12:17 UTC104 viewsread 8 August 2026
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#Python潮流周刊 🐱🐱🐱🐱 第 162 期 🐱🐱🐱🐱 🦄文章&教程 ① PEP 841:用 f 前缀语法创建不可变容器 ② time-machine 为何是 O(1) 而 freezegun 是 O(n) ③ 用 uv 构建生产级 Python Docker 容器 ④ Python 并发为何是最难的概念 ⑤ 用 Rust 新 API 加速 Python 浮点运算 ⑥ Pymmich:AI 优先的 Python 开源项目 ⑦ 从塞尔达游戏光盘中提取 N64 ROM ⑧ Wheels、Bottles 与容器镜像:二进制分发系统的设计异同 ⑨ Celery 实用配方:从入门到生产进阶 ⑩ Python 六个"常量"的不一致行为 ⑪ SQLite vs DuckDB:同一台服务器上的性能对决 ⑫ Git 提交到底有多大? 🐿️项目&资源 ① agents:实时语音 AI 智能体开发框架 ② fish-speech:S

2 Aug 2026, 12:00 UTC563 views1 reactionsread 8 August 2026

Python 社区中有不少优秀的技术周刊,这里把最近一周内发布的周刊汇集起来,供诸位 Pythonista 们丰富阅读。 时间:2026.07.27 - 2026.08.02 ① Python 潮流周刊#161:Claude Code 工作原理 ② Python Weekly - Issue 756 ③ Awesome Python Weekly 🐍 Issue 531 - Self-contained highly-portable Python distributions ④ Python Hub Weekly Digest for 2026-07-26 ⑤ Pycoders Weekly Issue #745: PyPI UI, Finding Classes with the GC, pylock.toml, and More (2026-07-28) ⑥ Django News Issue 348: On

1

1 Aug 2026, 12:29 UTC594 viewsread 8 August 2026
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#Python潮流周刊 🐱🐱🐱🐱 第 161 期 🐱🐱🐱🐱 🦄文章&教程 ① PyPI 界面更新计划 ② 用 bisect 在 Python 中做二分查找 ③ protobuf-py:不妥协的 Python Protobuf ④ PEP 751 与 pylock.toml:跨工具 Python 锁文件 ⑤ PEP 842:模块导出 ⑥ pip 26.2 的 --only-deps 终结 16 年应用部署变通 ⑦ 日常密码学的设计 ⑧ 在自由线程 Python 上扩展 NumPy ⑨ 用 AST 分析和 linter 禁掉手动提交 ⑩ Claude Code 工作原理:从 token 到智能体 ⑪ LangGraph 三年图工程经验 ⑫ LLM-as-a-Judge 实战指南 🐿️项目&资源 ① vnpy:开源量化交易平台 ② pytorch_geometric:图神经网络标准库 ③ ida-pro-mcp:IDA

26 Jul 2026, 13:31 UTC≈1,030 views0 reactionsread 8 August 2026

Python 社区中有不少优秀的技术周刊,这里把最近一周内发布的周刊汇集起来,供诸位 Pythonista 们丰富阅读。 时间:2026.07.20 - 2026.07.26 ① Python 潮流周刊#160:AI 智能体与 LLM 推理 ② Python Weekly - Issue 755 ③ Awesome Python Weekly 🐍 Issue 530 - PyPI releases now reject new files after 14 days ④ Python Hub Weekly Digest for 2026-07-19 ⑤ Pycoders Weekly Issue #744: CPython ABI, CLAUDE.md, Itertools Cheatsheet, and More (2026-07-21) ⑥ Django News Issue 347: Django 6.1 r

25 Jul 2026, 13:03 UTC935 viewsread 8 August 2026
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#Python潮流周刊 🐱🐱🐱🐱 第 160 期 🐱🐱🐱🐱 🦄文章&教程 ① 用 LangGraph 在 Python 中开发智能体工作流 ② 开发者数据工具全景指南 ③ AI 智能体沙箱隔离 ④ PEP-838:添加 python-version 字段到 pyvenv\.cfg ⑤ Python 实时欺诈检测:刷卡后的几十毫秒 ⑥ Netflix 自建 LLM 服务基础设施 ⑦ PyPI 新规:14 天以上的发行版将拒绝新文件 ⑧ 2026 年部署 Web 应用 ⑨ PyCon US 2026 回顾 ⑩ 对 Django 的一些新体会 ⑪ Django:引入 django-crawl ⑫ PEP 837:可扩展 JSON 序列化 🐿️项目&资源 ① loopgain:AI 智能体循环成本控制器 ② protobuf-py:现代版 Python Protocol Buffers ③ ai-agent-book:深入

19 Jul 2026, 14:09 UTC≈1,100 viewsread 8 August 2026

Python 社区中有不少优秀的技术周刊,这里把最近一周内发布的周刊汇集起来,供诸位 Pythonista 们丰富阅读。 时间:2026.07.13 - 2026.07.19 ① Python 潮流周刊#159:Python 3.15 预览 ② Awesome Python Weekly 🐍 Issue 529 - Otary – Image and Geometry Python Library Now Has Tutorials ③ Python Hub Weekly Digest for 2026-07-12 ④ Pycoders Weekly Issue #743: Stacks & Queues, Django F-Expressions, MCP Clients, and More (2026-07-14) ⑤ Django News Issue 346: Supporting the Triptych

18 Jul 2026, 13:04 UTC≈1,030 viewsread 8 August 2026
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#Python潮流周刊 🐱🐱🐱🐱 第 159 期 🐱🐱🐱🐱 🦄文章&教程 ① PEP 840:类命名空间中的变量名解析 ② Python 3.15 预览:升级的 JIT 编译器 ③ Django 正式支持 Triptych 项目 ④ Python 中的对象与类型 ⑤ Patreon 通知系统 Fanout 架构重构实战 ⑥ Python 开发者必知的 CPython ABI 知识 ⑦ Airflow 用 AI 构建弹性数据管道 ⑧ Python 3.15 解释器超低开销追踪技术解密 ⑨ 为 Python 打造的极速 C 语言 HTML 工具包 ⑩ 别把 PyPI 的 Trusted Publishing 当作安全信号 ⑪ 系统调用为何昂贵:Linux 内核深度剖析 ⑫ Claude Code 官方发布四种循环模式指南 🐿️项目&资源 ① chrome-devtools-mcp:Chrome DevTools MCP

12 Jul 2026, 13:03 UTC≈1,130 views1 reactionsread 8 August 2026

Python 社区中有不少优秀的技术周刊,这里把最近一周内发布的周刊汇集起来,供诸位 Pythonista 们丰富阅读。 时间:2026.07.06 - 2026.07.12 ① Python 潮流周刊#158:frozendict 内置类型 ② Awesome Python Weekly 🐍 Issue 528 - Automate Excel with Python: From manual grind to one-click workflow ③ Python Hub Weekly Digest for 2026-07-05 ④ Pycoders Weekly Issue #742: Wagtail as Admin, Random Values, Code Quality, and More (2026-07-07) ⑤ Django News Issue 345: Django security rele

1

11 Jul 2026, 13:02 UTC≈1,050 viewsread 8 August 2026
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#Python潮流周刊 🐱🐱🐱🐱 第 158 期 🐱🐱🐱🐱 🦄文章&教程 ① PEP 814:为 Python 添加 frozendict 内置类型 ② Reddit 反垃圾系统实现揭秘 ③ 如何安全使用 GitHub Actions 发布到 PyPI ④ 从零实现编程智能体:更好的工具 ⑤ 用 FastAPI Serving 前端:一份实用指南 ⑥ 用 AI 来减少对 AI 的依赖 ⑦ Wagtail 就是 Django admin 的超级增强版 ⑧ 自由线程 Python 的过去、现在与未来 ⑨ Peewee 4 发布:异步、JSON、预加载与类型系统 ⑩ LLM 工作原理从零入门 ⑪ ClickHouse 开源十周年回顾 🐿️项目&资源 ① skills-for-fabric:Microsoft Fabric AI 编码助手技能集 ② claude-video:给 Claude 装上看视频能力 ③ fortr

5 Jul 2026, 12:13 UTC≈1,120 viewsread 8 August 2026

Python 社区中有不少优秀的技术周刊,这里把最近一周内发布的周刊汇集起来,供诸位 Pythonista 们丰富阅读。 时间:2026.06.29 - 2026.07.05 ① Python 潮流周刊#157:CPython JIT 的开发计划 ② Python Weekly - Issue 752 ③ Awesome Python Weekly 🐍 Issue 527 - Abandoning Abstractions: Manually Crafting EtherNet/IP Packets Almost Broke Me ④ Python Hub Weekly Digest for 2026-06-28 ⑤ Pycoders Weekly Issue #741: Root Loggers, PEP 832, Django Tasks, and More (2026-06-30) ⑥ Django News

4 Jul 2026, 12:20 UTC≈1,010 viewsread 8 August 2026
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#Python潮流周刊 🐱🐱🐱🐱 第 157 期 🐱🐱🐱🐱 🦄文章&教程 ① PSF 披露 python.org 下载 API 认证绕过漏洞 ② 给 AI 编码助手配置 uv skills ③ Python 用 WeakKeyDictionary 为对象关联额外数据 ④ conda 打通 PyPI 生态:用 conda install 安装 PyPI 包 ⑤ PEP-836:CPython JIT 编译器正式化路线图 ⑥ 精读 CPython 源码:从 main() 到求值循环 ⑦ Async/Await 是一场瘟疫 ⑧ 语义搜索无需向量数据库:Ask the Canon ⑨ Pyodide 314.0 发布 ⑩ 使用 ast 模块在运行时转换 Python 代码 ⑪ 2026 年 Django 中使用 importmaps 的新方案 ⑫ 打破 Python 循环导入而不破坏类型安全 🐿️项目&资源 ① Unlim

29 Jun 2026, 03:39 UTC≈1,090 viewsread 8 August 2026

Python 社区中有不少优秀的技术周刊,这里把最近一周内发布的周刊汇集起来,供诸位 Pythonista 们丰富阅读。 时间:2026.06.22 - 2026.06.28 ① Python 潮流周刊#156:Pydantic 接管 httpx 始末 ② Python Weekly - Issue 751 ③ Python Hub Weekly Digest for 2026-06-21 ④ Pycoders Weekly Issue #740: Pluggy, ABCs, Scrapy Extensions, and More (2026-06-23) ⑤ Django News Issue 343: Django 6.1 beta 1 released 🐱频道 @pythontrendingweekly

Showing the 12 most recent of 21 posts we hold for @pythontrendingweekly. 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 — 1,038,553 of 1,169,250entries 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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“Python潮流周刊🐍” (@pythontrendingweekly), 4,456 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/pythontrendingweekly.

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.