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📚Python Books

📚Python Books

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📚Python библиотека admin - @haarrp @ai_machinelearning_big_data - машинное обучение @programming_books_it - бесплатные it книги @pythonl - 🐍 @ArtificialIntelligencedl - AI @datascienceiot - ml РКН: clck.ru/3FmsTi

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📈 Analytical overview of Telegram channel 📚Python Books

Channel 📚Python Books (@pythonlbooks) is an active participant. Currently, the community unites 34 021 subscribers, ranking 4 034 in the Technologies & Applications category and 19 180 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 34 021 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 -167 over the last 30 days and by 3 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 8.99%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 3 059 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
  • Thematic interests: Content is focused on key topics such as сотрудников, курса, инструменты, использовать, docker.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
📚Python библиотека admin - @haarrp @ai_machinelearning_big_data - машинное обучение @programming_books_it - бесплатные it книги @pythonl - 🐍 @ArtificialIntelligencedl - AI @datascienceiot - ml РКН: clck.ru/3FmsTi

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 Technologies & Applications category.

34 021
Subscribers
+324 hours
-347 days
-16730 days
Posts Archive
Deep Learning with TensorFlow 2 and Keras Github @pythonlbooks
Deep Learning with TensorFlow 2 and Keras Github @pythonlbooks

Python for Teenagers: Learn to Program Like a Superhero James R Payne (2019) @pythonlbooks

Dependency Injection Principles Practices and_Patterns @pythonlbooks

Designing Microservices with Django: An Overview of Tools and Practices @pythonlbooks

Foundations of Libvirt Development: How to Set Up and Maintain a Virtual Machine Environment with Python @pythonlbooks

Cryptography with Python @pythonlbooks

The Python & C++ Manual, 2nd edition - 2020 @pythonlbooks

Machine Learning with Spark™ and Python, Second Edition - 2020 @pythonlbooks

Expert Twisted: Event-Driven and Asynchronous Programming with Python Book @pythonlbooks
Expert Twisted: Event-Driven and Asynchronous Programming with Python Book @pythonlbooks

Python for Beginners: An Essential Guide to Easy Learning with Basic Exercises: Python programming Crash Course for Data Anal
Python for Beginners: An Essential Guide to Easy Learning with Basic Exercises: Python programming Crash Course for Data Analysis and for Beginner Hackers Github @pythonlbooks

Learning Scientific Programming with Python (2018) Book @pythonlbooks
Learning Scientific Programming with Python (2018) Book @pythonlbooks

Practical Numerical and Scientific Computing with MATLAB® and Python Book @pythonlbooks
Practical Numerical and Scientific Computing with MATLAB® and Python Book @pythonlbooks

Machine Learning A Bayesian and Optimization Perspective Book @pythonlbooks
Machine Learning A Bayesian and Optimization Perspective Book @pythonlbooks

Expert Python Programming, Third Edition - 2019 Book @pythonlbooks
Expert Python Programming, Third Edition - 2019 Book @pythonlbooks

Data Science Fundamentals for Python and MongoDB Book @pythonlbooks
Data Science Fundamentals for Python and MongoDB Book @pythonlbooks

Python crash course - 2020 Github @pythonlbooks
Python crash course - 2020 Github @pythonlbooks

Python Programming Language For Beginners - 2019 @pythonl

Django 2 в примерах - 2019 @pythonl

Mastering Object-Oriented Python (2019) @pythonl