Python Courses & Resources
前往频道在 Telegram
Master Python with step-by-step courses – from basics to advanced projects and practical applications. Admin: @HusseinSheikho
显示更多📈 Telegram 频道 Python Courses & Resources 的分析概览
频道 Python Courses & Resources (@python53) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 51 234 名订阅者,在 教育 类别中位列第 3 464,并在 印度 地区排名第 6 964 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 51 234 名订阅者。
根据 28 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 351,过去 24 小时变化为 -10,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 2.17%。内容发布后 24 小时内通常能获得 1.28% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 1 110 次浏览,首日通常累积 654 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 3。
- 主题关注点: 内容集中在 consultation, dentist, insidead, waybienad, appointment 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:
“Master Python with step-by-step courses – from basics to advanced projects and practical applications.
Admin: @HusseinSheikho”
凭借高频更新(最新数据采集于 29 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 教育 类别中的关键影响点。
51 234
订阅者
-1024 小时
-687 天
+35130 天
帖子存档
Repost from Machine Learning with Python
Most people learn Python in random order. No wonder they feel stuck.
This roadmap fixes that.
Here are the 5 layers every data professional must master, in order:
𝟭. 𝗖𝗼𝗿𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 (𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻)
Variables, loops, functions, error handling, collections.
Do not skip this. Everything else breaks without it.
𝟮. 𝗗𝗮𝘁𝗮 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴 & 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴
Pandas, NumPy, file handling, SQL integration, data cleaning.
This is where your actual job begins.
𝟯. 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗟𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀
Matplotlib, Seaborn, EDA, statistical functions, hypothesis testing.
Can you turn raw data into a decision? This layer teaches you how.
𝟰. 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗠𝗟
Scikit-Learn, clustering, feature engineering, big data tools.
This is what gets you promoted.
𝟱. 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 & 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀
Git, virtual environments, unit testing, workflow scheduling.
This is what separates professionals from beginners.
The mistake most people make, they jump straight to ML without nailing the foundation.
You cannot build insights on broken code.
Master the layers. In order. With real data.
Save this roadmap and share it with someone who needs direction.
Where are you on this right now?
♻️ Repost to help someone learning Python the right way
https://t.me/CodeProgrammer ✅
Repost from Udemy Free
AI Engineer 2026 Complete Course, GEN AI, Deep, Machine, LLM
Master Machine Learning, Deep Learning, LLMs & AI Systems with hands-on, real-world projects...
🏷 Category: N/A
🌍 Language: English (US)
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⭐️ Rating: 4.0/5.0 (38 reviews)
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Repost from Udemy Free
Master Data Structures with Hands-on Python
Learn arrays, linked lists, stacks, queues, trees, and graphs in Python with real projects and interview prep...
🏷 Category: N/A
🌍 Language: English (US)
👥 Students: 4,985 students
⭐️ Rating: 4.6/5.0 (22 reviews)
🏃♂️ Enrollments Left: N/A
⏳ Expires In: 0D:0H:0M
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⚠️ Note: You may need to watch a short ad to access the course. This helps keep the service free for everyone. 🙏
💎 By: https://t.me/Udemy26
Repost from Udemy Free
HTML, CSS, Java, & JavaScript: Full Stack Programming Course
Master Full Stack Development with HTML, CSS, Java, and JavaScript: Build Dynamic and Responsive Web Applications...
🏷 Category: N/A
🌍 Language: English (US)
👥 Students: 30,877 students
⭐️ Rating: 4.4/5.0 (549 reviews)
🏃♂️ Enrollments Left: N/A
⏳ Expires In: 0D:1H:1M
💰 Price: $23.51 => FREE
🆔 Coupon: CM260406IN
⚠️ Note: You may need to watch a short ad to access the course. This helps keep the service free for everyone. 🙏
💎 By: https://t.me/Udemy26
🔅 Hands-On Introduction: Python
📝 Explore the fundamental skills you need to know as a coder to take your knowledge of Python to the next level.
🌐 Author: Ronnie Sheer
🔰 Level: Intermediate
⏰ Duration: 1h 18m
📋 Topics: Python
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AI Agents for Beginners
This is Microsoft's official, structured course designed to teach AI agents from the ground up. 🎓 It provides a comprehensive curriculum covering fundamentals to deployment through exclusive video tutorials with hands-on code examples. The course is entirely free and accessible without registration. It is ideal for beginners and intermediate developers seeking to understand how AI agents reason, utilize tools, and automate real-world tasks. 🤖
Prerequisites: Basic command line experience is beneficial, though no prior AI experience is required.
📚 12 structured lessons
🏃♂️ Self-paced with immediate access
👨🏫 Created by: Microsoft Developer Team
🔗 Course Link
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Repost from Machine Learning with Python
Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
Repost from Udemy Free
Python Programming: Build and Deploy Your Own Applications.
Python Programming: Master the complete application lifecycle: Build, test, and deploy your Python projects....
🏷 Category: development
🌍 Language: English (US)
👥 Students: 17,729 students
⭐️ Rating: 4.1/5.0 (191 reviews)
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🚀 Sber has released two open-source MoE models: GigaChat-3.1 Ultra and Lightning
Both code and weights are available under the MIT license on HuggingFace.
👉 Key details:
• Trained from scratch (not a finetune) on proprietary data and infrastructure
• Mixture-of-Experts (MoE) architecture
Models:
🧠 GigaChat-3.1 Ultra
• 702B MoE model for high-performance environments
• Outperforms DeepSeek-V3-0324 and Qwen3-235B on math and reasoning benchmarks
• Supports FP8 training and MTP
⚡️ GigaChat-3.1 Lightning
• 10B model (1.8B active parameters)
• Outperforms Qwen3-4B and Gemma-3-4B on Sber benchmarks
• Efficient local inference
• Up to 256k context
Engineering highlights:
• Custom metric to detect and reduce generation loops
• DPO training moved to native FP8
• Improvements in post-training pipeline
• Identified and fixed a critical issue affecting evaluation quality
🌍 Trained on 14 languages (optimized for English and Russian)
Use cases:
• chatbots
• AI assistants
• copilots
• internal ML systems
Sber provides a solid open foundation for developers to build production-ready AI systems with lower infrastructure costs.
