Python Courses & Resources

前往频道在 Telegram

Master Python with step-by-step courses – from basics to advanced projects and practical applications.

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网络:Machine Learning with Python 印度7 855 教育3 610...

📈 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 49 093 名订阅者，在教育类别中位列第 3 610，并在印度地区排名第 7 855 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 49 093 名订阅者。

根据 08 六月, 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 502，过去 24 小时变化为 34，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 2.78%。内容发布后 24 小时内通常能获得 1.19% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 1 363 次浏览，首日通常累积 582 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.”

凭借高频更新（最新数据采集于 09 六月, 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。

49 093

订阅者

+3424 小时

+1257 天

+50230 天

1 363

帖子浏览量

~ 58224 小时

~ 76548 小时

2.78%

参与率

~ 2

每日帖子数

Ads index

beta

帖子存档

49 104

Don't forget to attend this session!

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Don't forget to attend this session!

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Repost from Machine Learning with Python

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Transformer by Hand ✍️ in 5 Minutes with Anna Rahn 📂 Tags: #python #ML #Transformer http://t.me/codeprogrammer 🌟

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💋 Django & React Web App Tutorial - Authentication, Databases, Deployment & More... 😍 🖥 By: https://t.me/Python53 🥸 More likes 😡 more courses 😍

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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 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0 ✅ https://t.me/Codeprogrammer

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⌨️ #Python Celery for Distributed Tasks and Parallel Programming [EN] 🎓 What will you learn?

Learn to analyze data using Pandas and Spark, and create background tasks using Celery and RabbitMQ. This course covers loading data from various sources, processing large amounts of data using DataFrame, running parallel tasks, and integrating with Kafka JDBC Connector.

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Repost from Machine Learning with Python

Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post. https://t.me/DataScienceN

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