Learn Python Coding
前往频道在 Telegram
Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho
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网络:📈 Telegram 频道 Learn Python Coding 的分析概览
频道 Learn Python Coding (@pythonre) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 40 879 名订阅者，在 技术与应用 类别中位列第 3 292，并在 印度 地区排名第 9 353 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 40 879 名订阅者。
根据 27 十月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 395，过去 24 小时变化为 -12，整体触达仍然可观。
- 认证状态： 未认证
- 互动率 (ER)： 平均受众互动率为 3.98%。内容发布后 24 小时内通常能获得 1.48% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 1 628 次浏览，首日通常累积 604 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 2。
- 主题关注点： 内容集中在 math, harvard, oxford, supervision, waybienad 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台：
“Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills.
Admin: @HusseinSheikho || @Hussein_Sheikho”
凭借高频更新（最新数据采集于 28 十月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。
40 879
订阅者
-1224 小时
-127 天
+39530 天
帖子存档
40 880
✨ fnmatch | Python Standard Library ✨
📖 Provides tools for Unix shell-style wildcard pattern matching against filename strings.
🏷️ #Python
40 880
Read this once. There won't be a second message.
Brainlancer just launched today.
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Repost from Machine Learning with Python
GitHub repositories to enhance your Python proficiency:
- Web development with Django — https://github.com/django/django
- Data Science tools — https://github.com/rasbt/python-machine-learning-book
- Algorithmic challenges — https://github.com/TheAlgorithms/Python
- Machine learning recipes — https://github.com/ageron/handson-ml2
- Testing best practices — https://github.com/pytest-dev/pytest
- Automation scripts — https://github.com/soimort/you-get
- Advanced Python concepts — https://github.com/faif/python-patterns
Bookmark and share
https://t.me/CodeProgrammer 🌟
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Repost from Machine Learning with Python
Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
40 880
✨ AI Coding Agents Guide: A Map of the Four Workflow Types ✨
📖 AI coding agents come in four types: IDE, terminal, PR, and cloud. Learn how each workflow fits into modern Python development.
🏷️ #intermediate #ai
40 880
✨ Quiz: AI Coding Agents Guide: A Map of the Four Workflow Types ✨
📖 Check your understanding of how AI coding agents fit into your workflow through four interaction modes: IDE, terminal, pull request, and cloud.
🏷️ #intermediate #ai
40 880
✨ fileinput | Python Standard Library ✨
📖 Provides tools for iterating over lines from multiple input files or standard input, with support for in-place file editing.
🏷️ #Python
40 880
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages
✅ https://t.me/addlist/8_rRW2scgfRhOTc0
✅ https://t.me/Codeprogrammer
40 880
✨ Real Python Merchandise ✨
📖 Support realpython.com with this collection of Python mugs, t-shirts, hoodies, and stickers.
🏷️ #Python
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Today, the public mint for Lobsters on TON goes live on Getgems 🦞
This is not just another NFT drop.
In my view, Lobsters is one of the first truly cohesive products at the intersection of blockchain, NFTs, and AI.
Here, the NFT is not just an image and not just a collectible.
Each Lobster is an NFT with a built-in AI agent inside: a digital character with its own soul, on-chain biography, persistent memory, and a unified identity across Telegram, Mini App, Claude, and API.
So you are not just getting an asset in your wallet.
You are getting an AI-native digital character that can interact, remember, and stay consistent across different interfaces.
What makes this especially interesting is the timing.
In the recent video Pavel Durov shared in his post about agentic bots in Telegram, the lobster imagery was right there. Against that backdrop, Lobsters does not feel like a random mint — it feels like a very precise fit for the new narrative:
Telegram-native agents + TON infrastructure + NFT ownership layer + AI utility
Put simply, this is one of the first real attempts to turn an NFT from “just an image” into a digital agent.
Public mint: today, 16:00
Price: 50 TON
👉 Mint your Lobster on Getgems 🦞🦞🦞
40 880
✨ filecmp | Python Standard Library ✨
📖 Provides tools for comparing files and directory trees, with a caching layer for efficiency and a dircmp class for recursive directory analysis.
🏷️ #Python
