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Книги Python

Книги Python

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Книги по Python, новый год выпуска. Скачать можно за 2 клика. Формат: PDF, EPUB По вопросам рекламы: @anothertechrock Регистрация в перечне РКН: https://clck.ru/3R3u7U

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📈 Analytical overview of Telegram channel Книги Python

Channel Книги Python (@pythonlib) in the Russian language segment is an active participant. Currently, the community unites 11 789 subscribers, ranking 10 552 in the Technologies & Applications category and 54 417 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 11 789 subscribers.

According to the latest data from 31 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 48 over the last 30 days and by 2 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 10.10%. Within the first 24 hours after publication, content typically collects 5.60% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 191 views. Within the first day, a publication typically gains 660 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 jobs, программирование, devops, learning, собеседование.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Книги по Python, новый год выпуска. Скачать можно за 2 клика. Формат: PDF, EPUB По вопросам рекламы: @anothertechrock Регистрация в перечне РКН: https://clck.ru/3R3u7U”

Thanks to the high frequency of updates (latest data received on 01 November, 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 Technologies & Applications category.

11 789
Subscribers
+224 hours
-27 days
+4830 days
Posts Archive
Hands-On Deep Learning for Images with TensorFlow - 2018 #deep_learning #english

Python ® Machine Learning - 2019 #python #english

Practical Quantum Computing for Developers: Programming Quantum Rigs in the Cloud using Python, Quantum Assembly Language and IBM QExperience - 2018 #python #русский

Programming for Computations – Python, Second Edition - 2020 #python #english

Python, PyGame, and Raspberry Pi Game Development, Second Edition - 2019 #python #english

Machine Learning. Step-by-Step Guide To Implement. Machine Learning Algorithms with Python - 2018 #python #Machine_Learning #english

Essential Algorithms: A Practical Approach to Computer Algorithms Using Python and C# - 2019 #python #алгоритмы #english

Learn Keras for Deep Neural Networks - 2019 #python #english

Natural Language Processing in Action - 2019 #python #english

Introduction to Python for Science and Engineering - 2019 #python #english

Python Programming for Beginners - 2016 #python #english #beginner

wxPython Recipes - 2018 #python #english

Practical Django 2 and Channels 2: Building Projects and Applications with Real-Time Capabilities - 2019 #Django #english #middle

Learn Data Analysis with Python: Lessons in Coding - 2018 #python #english #middle

Jupyter Cookbook - 2018 #python #english

Introduction to Computing Using Python, Second Edition - 2015 #python #english

Internet of Things with Python - 2016 #python #english

Foundations for Analytics with Python - 2016 #python #english

Django для начинающих - 2018 #Django #русский #beginner

Data Analysis From Scratch With Python - 2016 #python #english