Python Courses & Resources
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Master Python with step-by-step courses – from basics to advanced projects and practical applications. Admin: @HusseinSheikho
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Network:📈 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 50 370 subscribers, ranking 3 427 in the Education category and 7 085 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 50 370 subscribers.
According to the latest data from 29 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 321 over the last 30 days and by 11 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.44%. Within the first 24 hours after publication, content typically collects 1.34% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 227 views. Within the first day, a publication typically gains 675 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
- 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 30 August, 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.
50 370
Subscribers
+1124 hours
-427 days
+32130 days
Posts Archive
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🐍 How to run a FastAPI application in a Docker container
🖥 By: https://t.me/Python53
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Repost from Machine Learning with Python
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