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 40 130 名订阅者，在 技术与应用 类别中位列第 3 250，并在 印度 地区排名第 9 587 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 40 130 名订阅者。
根据 01 九月, 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 146，过去 24 小时变化为 9，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 1.86%。内容发布后 24 小时内通常能获得 1.08% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 748 次浏览，首日通常累积 435 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 02 九月, 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。
40 130
订阅者
+924 小时
+717 天
+14630 天
帖子存档
40 130
𝗣𝘆𝘁𝗵𝗼𝗻 𝗖𝗵𝗲𝗮𝘁 𝗦𝗵𝗲𝗲𝘁 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀
Whether you're just starting out or already working as a Data Engineer, having a quick Python reference guide can save you time and boost your productivity.
I’m excited to share this Python Cheat Sheet that covers key concepts every data engineer should know — from syntax basics to file handling and commonly used functions. A handy resource for daily use and interview prep.
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Roadmap to Python in 2025
Python has evolved from a simple scripting language to the backbone of modern data science and machine learning. As we enter 2025, Python remains the most popular language for AI development and data analysis, making it an essential skill for anyone looking to enter these fields. This #roadmap provides a clear, practical path from #Python basics to advanced machine learning applications.
Read: https://machinelearningmastery.com/roadmap-to-python-in-2025/
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Repost from Machine Learning with Python
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MIT's "Advanced Algorithms" (Course 6.854J, Fall 2008) is a graduate-level course offering deep insights into the design and analysis of advanced algorithms. The lecture notes cover a wide range of topics such as graph algorithms, flow networks, randomized algorithms, approximation techniques, and data structures. The material is rigorous and ideal for researchers, graduate students, or professionals looking to strengthen their theoretical foundations in computer science.
Link to lecture notes: https://ocw.mit.edu/courses/6-854j-advanced-algorithms-fall-2008/pages/lecture-notes
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“Python for Beginners” is a concise and well-structured booklet tailored for anyone starting their Python programming journey. Instead of relying on expensive courses or scattered online content, this PDF organizes Python fundamentals in a clear, logical manner — from variables and data types to functions, loops, and modules. It's perfect for beginners who want a solid foundation and a guided learning path without the overwhelm.
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This channels is for Programmers, Coders, Software Engineers.
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Loading CSV files into a database using Python.
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Repost from Machine Learning with Python
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
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