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Python Courses & Resources

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

Network: Machine Learning with PythonIndia6 758Education3 453...

📈 Analytical overview of Telegram channel Python Courses & Resources

Channel Python Courses & Resources (@python53) in the English language segment is an active participant. Currently, the community unites 51 231 subscribers, ranking 3 453 in the Education category and 6 758 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 51 231 subscribers.

According to the latest data from 01 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 267 over the last 30 days and by 10 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 3.76%. Within the first 24 hours after publication, content typically collects 1.27% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 928 views. Within the first day, a publication typically gains 649 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
Thematic interests: Content is focused on key topics such as consultation, dentist, insidead, waybienad, appointment.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Master Python with step-by-step courses – from basics to advanced projects and practical applications. Admin: @HusseinSheikho”

Thanks to the high frequency of updates (latest data received on 02 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

51 231

Subscribers

+1024 hours

-227 days

+26730 days

1 928

Post views

~ 64924 hours

~ 87148 hours

3.76%

Engagement rate

~ 1

Posts per day

Ads index

Posts Archive

51 234

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51 234

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51 234

Repost from Machine Learning with Python

📕 Python Basics Made Simple! 📷 Course: AI Python for Beginners 👨‍💻 Instructor: Andrew Ng In the #AIPythonforBeginners course series you'll learn how to identify strings, integers, and floats with the type() function, and build a solid Python foundation for your AI journey. Enroll Free: https://learn.deeplearning.ai/courses/ai-python-for-beginners 📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer http://t.me/codeprogrammer ⭐️

51 234

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51 234

I highly recommend downloading the app, there is a solid guide to mastering AI.

51 234

Repost from Machine Learning with Python

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Hey guys, As you all know, the purpose of this community is to share notes and grow together. Hence, today I am sharing with you an app called DevBytes. It keeps you updated about dev and tech news. This brilliant app provides curated, bite-sized updates on the latest tech news/dev content. Whether it’s new frameworks, AI breakthroughs, or cloud services, DevBytes brings the essentials straight to you. If you're tired of information overload and want a smarter way to stay informed, give DevBytes a try. Download here: https://play.google.com/store/apps/details?id=com.candelalabs.devbytes&hl=en-IN It’s time to read less and know more!

51 234

Repost from Python Courses & Resources

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51 234

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Coursera has launched a collaboration with the MAJOR platform to enable students to self-fund using the MAJOR platform. Students can now access free Coursera scholarships through MAJOR. Don't miss the opportunity: Click here.

51 234

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👩‍💻 Python course from Harvard University! 🌟 A large playlist with a cool explanation of the language, perhaps one of the best courses on Python! 🔗 Link: click 🖥 By: https://t.me/Python53 ⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️

51 234

Repost from Machine Learning with Python

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51 234

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