Python Courses & Resources
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Master Python with step-by-step courses β from basics to advanced projects and practical applications. Admin: @HusseinSheikho
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Network:π 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 51 246 subscribers, ranking 3 462 in the Education category and 6 941 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 51 246 subscribers.
According to the latest data from 26 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 431 over the last 30 days and by -5 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.54%. Within the first 24 hours after publication, content typically collects 1.26% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 303 views. Within the first day, a publication typically gains 647 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
- Thematic interests: Content is focused on key topics such as consultation, dentist, insidead, waybienad, appointment.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βMaster Python with step-by-step courses β from basics to advanced projects and practical applications.
Admin: @HusseinSheikhoβ
Thanks to the high frequency of updates (latest data received on 27 October, 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.
51 246
Subscribers
-524 hours
-247 days
+43130 days
Posts Archive
Repost from Machine Learning with Python
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Repost from Machine Learning with Python
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