ru
Feedback
Python Courses & Resources

Python Courses & Resources

Открыть в Telegram

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

Больше

📈 Аналитический обзор Telegram-канала Python Courses & Resources

Канал Python Courses & Resources (@python53) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 49 132 подписчиков, занимая 3 608 место в категории Образование и 7 822 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 49 132 подписчиков.

Согласно последним данным от 09 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 523, а за последние 24 часа — 23, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.62%. В первые 24 часа после публикации контент обычно набирает 1.15% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 1 287 просмотров. В течение первых суток публикация набирает 563 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 3.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как consultation, dentist, insidead, waybienad, appointment.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
Master Python with step-by-step courses – from basics to advanced projects and practical applications.

Благодаря высокой частоте обновлений (последние данные получены 10 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.

49 132
Подписчики
+2324 часа
+1257 дней
+52330 день
Архив постов
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.

Please 1️⃣0️⃣0️⃣ likes or ⭐️

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

@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.

🚨With me you will make money! I have made over $20,000 in the last week! 🔥 I don't care where you are and what you can do, I will help absolutely everyone earn money. My name is Lisa and: ✔️ I will teach you trading for FREE in a short period of time ✔️ I will give you FREE signals every day ✔️ I will help you to get income of 1,000$ in a week Sounds unbelievable? You have 2 hours to join our channel. But it’s true - just look at the results in my channel and JOIN FOR FREE 👉🏻 https://t.me/+fJ0XM3sZkaxkNjgx

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.