如果你还在纠结学哪门语言,2025年就别再犹豫了 🐍 为什么 Python 依然是最佳选择: ✅ AI 生态无敌 ChatGPT、Claude、Llama 等大模型的主流开发语言就是 Python。想进入 AI 领域?这是必学的。 ✅ 运维自动化的王牌 从服务器管理、日志分析到网络工具开发,Python 的脚本能力在运维圈地位无法撼动。写几行代码就能自动化原本的重复工作。 ✅ 学习门槛最低 语法简洁易读,不用死记硬背复杂的语法规则。新手能快速上手,老手能深度扩展。 ✅ 库和工具最完整 NumPy、Pandas、Django、Flask、Scrapy... 无论你想做数据分析、web开发还是爬虫,都有现成的轮子。 ✅ 求职市场还在涨 数据分析、后端开发、自动化测试等岗位依然缺人,薪资也有竞争力。 一句话总结:Python 不是最强的,但一定是最实用、最全能的选择。 你是因为什么原因选择(或放弃)学 Python 的…

Channel
🌼Emma服务器/加速高防CDN🌼SEO 搭建
@IDC_EMMA
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
88subscribers
+0 since we began measuring on 27 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003612953856 |
|---|---|
| Type | Channel |
| Username | @IDC_EMMA |
| Description | 群組 https://t.me/EMMA_IDCIDC 🌼各位请放心🌼 台灣企業經營十幾年 誠信經營 騙子請繞道 / 免实名香港美国服务器 / 站群 服务器 托管 加速CDN高防 解决移动屏蔽 各大云代充值 / 我们的技术支持 24*7*365 不间断休息👩🏻💻 有任何问题都是秒处理 數據也保證絕對安全 🌺售后服务有保障🌺 群主Emma:https://t.me/XMOhost38 双向请私聊我的小帮手 @EMMAEAR_bot |
| First recorded | 27 September 2026 |
| Last confirmed live | 27 September 2026 |
| Measurements held | 2 |
| On Telegram | t.me/IDC_EMMA |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Sept 2026, 07:22 | 88 | no change |
| 27 Sept 2026, 06:48 | 88 | first reading |
Engagement
20 posts held, back to 8 July 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 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 56.3%
- avg views ÷ 88 subscribers
- Avg views / post
- 49.5
- 6 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 6
- 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.
| Window | Rolling 30 days · latest post in window 25 September 2026 |
|---|---|
| Posts held | 20 (8 July 2026 – 25 September 2026) |
| Views total | 297 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 07:22 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
- 30
- Videos
- 1
- Links
- 47
Lifetime counters from Telegram’s own channel header, read 27 September 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
13 reactions across 3 posts, in 3 distinct kinds. The most used accounts for 53.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7 | 53.8% | |
| 🎉 | 3 | 23.1% | |
| 👍 | 3 | 23.1% |
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 20 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 13 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 8 July 2026 to 25 September 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
🌕 月亮上线,月饼就位! 艾玛祝各位: 中秋快乐,团团圆圆! 愿工资涨不停,烦恼自动关机, 吃月饼不长胖,服务器永不宕机 😎 @xmohost38
如果你在用大语言模型 API,现在不比价的话,钱真的是白花 💸 最近三大巨头的价格都有调整,咱们来看看谁最划算: OpenAI 🤖 - GPT-4o:输入 $3/100K tokens,输出 $15/100K tokens - 便宜的选择是 GPT-4o mini,输入只要 $0.15/100K - 适合:需要最强性能的生产环境 Anthropic Claude 📚 - Claude 3.5 Sonnet:输入 $3/100K,输出 $15/100K - Claude 3 Haiku:输入 $0.80/100K,输出 $4/100K - 特点:上下文窗口最大(200K),长文档处理无敌 Google Gemini 🔍 - Gemini 2.0 Flash:输入 $0.075/100K,输出 $0.30/100K - 目前价格最便宜,性能也不错 - 百万 token 级上下文,处理海量数据给力 快速判断 ⚡ - 成本敏感…
服务器被扫描、被暴力破解?一条命令帮你堵住恶意 IP 🚫 防火墙是保护服务器的第一道防线,但很多人装了系统却不会用。今天教你快速上手: 用 UFW(推荐新手) UFW 是 Ubuntu/Debian 的简化防火墙工具,命令很直观: ``` sudo ufw enable # 启动防火墙 sudo ufw allow 22/tcp # 放行 SSH sudo ufw deny from 192.168.1.100 # 封鎖单个 IP sudo ufw status # 查看规则 ``` 用 iptables(更强大) 如果你需要更细致的控制: ``` sudo iptables -I INPUT -s 恶意IP -j DROP sudo iptables -L -n # 查看所有规则 ``` 规则改完记得保存到配置文件,重启才能生效 💾 实用小建议 💡 • 定期检查日志找出…
GitHub Actions 的免费额度足够大多数人用,但关键是要会算账 💰 每月 2000 分钟是什么概念? - 如果你用 Ubuntu 跑工作流,这 2000 分钟是直接计时的 - 用 Windows 或 macOS?抱歉,时间要乘以 2 倍或 10 倍消耗(Windows 是 2x,macOS 是 10x) - 也就是说 Windows 系统其实只有 1000 分钟额度 谁容易超额? ✅ 不容易超的场景: - 代码测试、自动部署(通常几分钟搞定) - 定时爬虫、数据抓取(短时间脚本) - 简单 CI/CD 流程 ❌ 容易超的场景: - 长时间编译(比如 C++ 大项目) - 频繁触发的工作流 - 用 macOS 跑重型任务 怎么省额度? 1. 尽量用 Ubuntu(时间不乘倍数) 2. 只在 push 或 PR 时触发,别让它随便跑 3. 用 self-hosted runner(自己的服务器跑,不消耗额度)…
免费午餐真的越来越丰盛了 🍽️ Cloudflare 最近又动作频频,一口气推出了好几个免费新功能,小站长们的日子是越来越好过。 Cloudflare 在免费层面的最新动作: 🔹 AI 功能平民化 - Workers AI 现在免费用户每天有额度了,之前只有付费才能体验的 AI 能力,现在可以直接用来做内容摘要、翻译这类任务 🔹 DDoS 防护升级 - 免费版的防护阈值提高,中小网站不用担心突发流量攻击 🔹 更多分析数据 - 免费版现在能看到更详细的访客数据和安全日志 这对你意味着什么? 💡 成本更低 - 原本需要付费才能用的功能,现在白嫖就行 💡 功能更全 - 从 DNS、CDN、防火墙到 AI,一个平台包揽 💡 学习成本低 - 个人项目和小站都能放心用,不怕意外账单 说实话,Cloudflare 这波操作是在用免费服务圈用户,等你的网站真的做大了,自然会考虑付费升级。但对现阶段的小站长来说,确实是个不错的…
VPS 硬盘只剩几个 GB,却找不到是什么文件在吃空间?这种时候很多人只能干着急 😅 教你两个命令,分分钟定位"磁盘杀手": ① df 命令 - 查看整体使用情况 ``` df -h ``` 快速看出哪个分区满了。如果看到某个挂载点使用率超过 80%,就该动手清理了。 ② du 命令 - 逐个排查文件夹 ``` du -sh /* ``` 列出根目录下各文件夹的大小,从大到小找问题。常见"元兇"包括: • `/var/log` - 日志文件堆积 • `/home` - 用户数据 • `/usr/local` - 应用程序缓存 • `/tmp` - 临时文件 深入排查某个目录: ``` du -sh /path/* | sort -rh | head -10 ``` 直接看出该目录下最大的 10 个文件/文件夹 📊 小贴士:删除前务必备份重要数据,日志文件清理时用 `truncate -s 0` 比直接删除更安全。 你…
如果你还在纠结学哪门语言,2025年Python已经成了"最安全的赌注" 🎯 为什么这么说? 🔸 生态最完整 AI、数据分析、自动化、网络爬虫、服务器运维...你想到的领域Python都能干。NumPy、Pandas、Django这些库早就成了行业标准。 🔸 学习成本最低 语法简洁易上手,不用被复杂的括号和分号折腾。特别适合想快速看到成果的新手。 🔸 就业前景稳 数据分析师、DevOps、后端开发...岗位需求一直很旺。薪资水平也不错。 🔸 自动化脚本神器 想自动化处理文件、定时任务、批量爬数据?Python写几行代码就搞定,比Shell脚本更强大。 🔸 AI时代的宠儿 ChatGPT、大模型微调...这些热门领域的工具库都是Python优先。 老实说,学Python不会是浪费时间。哪怕你以后转向其他语言,Python的逻辑思维方式也会让你受益终身。 你现在在用Python吗?或者在考虑学?留言分享一下你的想法 …
昨天來不急發,今天補發🌹 💐七夕快乐 有情人的,祝你们甜甜蜜蜜~ 没情人的也没关系,自己一个人也可以很好,毕竟钱还没赚完 🤩 今晚没人陪? 没关系,想开机器就找艾玛 情人不一定随时在,但艾玛开机器随时都在🤷 祝大家爱情有没有都没关系, 但业绩跟钱一定要一直来 🐈
❤4🎉1👍1
你的网站明明内容不错,为什么访客还是等得不耐烦?⏱️ 很多人忽视了网站速度的威力——它直接影响用户体验和搜索引擎排名。今天推荐一个免费神器:Google PageSpeed Insights。 🔍 怎么用? 1. 打开 pagespeed.web.dev 2. 粘贴你的网址,点击分析 3. 秒出报告 📊 你会看到什么? - 移动端和桌面端的速度评分(0-100) - 具体的性能指标,比如加载时间、首屏渲染等 - 优化建议——工具会列出哪些因素拖累了速度 • 未压缩的图片? • 冗余的 JavaScript? • 没启用缓存? ⚡ 核心优化方向 - 压缩图片(用 TinyPNG、ImageOptim) - 启用 Gzip 压缩 - 删除未使用的 CSS/JS - 升级服务器或用 CDN 加速 🎯 小提示 别被满分迷惑,60+ 分对大多数网站已经够用。关键是针对红色警告去优化。 你的网站跑过 PageSpee…
你的网站打开慢如蜗牛,用户早就跑了 🐢➡️❌ 很多站长只知道"网站慢",却不知道慢在哪里。今天介绍一个谷歌官方工具 PageSpeed Insights,它能精准诊断你的性能问题。 怎么用? 1️⃣ 访问 pagespeed.web.dev 2️⃣ 输入你的网址,点分析 3️⃣ 等待 30 秒左右,生成报告 看什么指标? 🔴 LCP(最大内容绘制) - 主要内容要多快才能出现 🔴 FID(首次输入延迟) - 用户点击到反应的延迟 🔴 CLS(累积版面偏移) - 页面有没有乱跳 报告会给出具体建议: ✅ 压缩图片大小 ✅ 移除未使用的 CSS/JS ✅ 启用浏览器缓存 ✅ 使用 CDN 加速 ✅ 优化服务器响应时间 小贴士:移动版得分往往比桌面版低,但移动版更重要(用户多)。如果移动版分数在 90 以上,说明你的网站优化得不错 💪 建议每月跑一次测试,监控性能变化。特别是上传新功能或改版后,一定要测一下。 你的网站跑…
2024 年,AI 工具的迭代速度已经快到让人有点跟不上 🚀 最近几个月涌现的一波新工具,真的在改变我们的日常工作方式。与其等待完美的工具出现,不如先看看有哪些已经能上手用的: 写作和内容生成 📝 Claude 和 ChatGPT 已经不是新鲜事,但它们在处理长文档、代码审查上的表现越来越稳定。很多人用来快速生成初稿,节省 30-50% 的前期思考时间。 自动化办公 🤖 Make、Zapier 这类工具配合 AI,可以自动处理邮件分类、数据整理、日程安排。不用写代码,就能搭建个人的自动化流程。 知识管理 🧠 Notion AI、Obsidian 的插件生态已经成熟,能帮你自动标签、归纳笔记内容。省去手工整理的枯燥工作。 搜索和研究 🔍 Perplexity、Tavily 这类 AI 搜索工具,比直接问 ChatGPT 更快定位到你需要的信息源。 最现实的建议是:别追求大而全,先在一个工作流上试用,看看能省多少时间。 …
Showing the 12 most recent of 20 posts we hold for @IDC_EMMA. 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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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 27 September 2026 — this entry's latest reading, not the date you are reading this.
“🌼Emma服务器/加速高防CDN🌼SEO 搭建” (@IDC_EMMA), 88 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/IDC_EMMA.
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.