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Python Courses & Resources

Python Courses & Resources

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

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📈 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 49 132 subscribers, ranking 3 608 in the Education category and 7 822 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 49 132 subscribers.

According to the latest data from 09 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 523 over the last 30 days and by 23 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.62%. Within the first 24 hours after publication, content typically collects 1.15% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 287 views. Within the first day, a publication typically gains 563 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.

Thanks to the high frequency of updates (latest data received on 10 June, 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.

49 132
Subscribers
+2324 hours
+1257 days
+52330 days
Posts Archive
Please 1️⃣0️⃣0️⃣ likes or ⭐️

20 Most Common Magic Methods in Python OOP https://t.me/Python53 ⚡️
20 Most Common Magic Methods in Python OOP https://t.me/Python53 ⚡️

Repost from Auto Udemy
Coursera has launched a collaboration with the Rating platform to enable students to self-fund using the Rating platform. Students can now access free Coursera scholarships through Rating. Only 600 members Don't miss the opportunity: Click here.

Repost from Kaggle Data Hub
Coursera has launched a collaboration with the Rating platform to enable students to self-fund using the Rating platform. Students can now access free Coursera scholarships through Rating. Only 600 members Don't miss the opportunity: Click here.

Coursera has launched a collaboration with the TOMA platform to enable students to self-fund using the TOMA platform. Students can now access free Coursera scholarships through TOMA. Only 600 members Don't miss the opportunity: Click here.

Repost from Machine Learning
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.

Coursera has launched a collaboration with the TOMA platform to enable students to self-fund using the TOMA platform. Students can now access free Coursera scholarships through TOMA. Only 600 members Don't miss the opportunity: Click here.

🌟 Embark on a Journey of Discovery and Innovation with @DeepLearning_ai! and @MachineLearning_Programming 🌟 What We Offer:
🌟 Embark on a Journey of Discovery and Innovation with @DeepLearning_ai! and @MachineLearning_Programming 🌟 What We Offer: * 🧠 Deep Dives into AI & ML. * 🤖 Latest in Deep Learning. * 📊 Data Science Mastery. * 👁 Computer Vision & Image Processing. * 📚 Exclusive Access to Research Papers. Why Us? * Connect with experts and enthusiasts. * Stay updated, stay ahead. * Empower your knowledge and career in tech. Ready for a deep dive? Click here to explore, learn, and grow with @DeepLearning_ai and @MachineLearning_Programming! Step into the future—today.

Coursera has launched a collaboration with the TOMA platform to enable students to self-fund using the TOMA platform. Students can now access free Coursera scholarships through TOMA. Only 600 members Don't miss the opportunity: Click here.

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More paid courses (all topics) only 250 stars monthly https://t.me/+qvMSLM70zys1ZTJi

Data Structures Using Python [EN] 🖥 By: https://t.me/Python53 ⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️

💻 Data Structures Using Python [EN] 🖥 By: https://t.me/Python53 ⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️
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@AiArt - The funniest, new AI original artwork! We publish the best AI Art - submit your own work to @Cynthia to be rewarded
@AiArt - The funniest, new AI original artwork! We publish the best AI Art - submit your own work to @Cynthia to be rewarded up to 10 💎 TON!

Repost from Kaggle Data Hub
Coursera has launched a collaboration with the Rating platform to enable students to self-fund using the Rating platform. Students can now access free Coursera scholarships through Rating. Only 600 members Don't miss the opportunity: Click here.

Coursera has launched a collaboration with the TOMA platform to enable students to self-fund using the TOMA platform. Students can now access free Coursera scholarships through TOMA. Only 600 members Don't miss the opportunity: Click here.

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Human Activity Recognition using TensorFlow (CNN + LSTM) | 2 Methods 🖥 By: https://t.me/Python53 ⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️

Coursera has launched a collaboration with the TOMA platform to enable students to self-fund using the TOMA platform. Students can now access free Coursera scholarships through TOMA. Only 600 members Don't miss the opportunity: Click here.

Repost from Machine Learning
Coursera has launched a collaboration with the TOMA platform to enable students to self-fund using the TOMA platform. Students can now access free Coursera scholarships through TOMA. Only 600 members Don't miss the opportunity: Click here.