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 50 458 subscribers, ranking 3 425 in the Education category and 7 047 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 50 458 subscribers.
According to the latest data from 03 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 286 over the last 30 days and by 6 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.46%. Within the first 24 hours after publication, content typically collects 1.36% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 242 views. Within the first day, a publication typically gains 688 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 04 September, 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.
50 458
Subscribers
+624 hours
+917 days
+28630 days
Posts Archive
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Repost from Machine Learning with Python
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Do you really like your salary? What about the time you spend at work? Is everything fair and square? Do you have a house, car, summer house? Let's be honest…
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