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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 34 015 subscribers, ranking 4 033 in the Technologies & Applications category and 19 179 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 34 015 subscribers.

According to the latest data from 11 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -193 over the last 30 days and by -6 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 9.59%. 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 3 263 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 12 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.

34 015
Subscribers
-624 hours
-427 days
-19330 days
Posts Archive
Learning IPython for Interactive Computing and Data Visualization @datascienceiot

Learning OpenCV 3 Computer Vision with Python @datascienceiot

Natural Language Processing with Python @datascienceiot

Building Machine Learning Systems with Python @datascienceiot

📖 Machine Learning with PySpark With Natural Language Processing and Recommender Systems 2019 @datascienceiot

New book 🔥DEEP LEARNING WITH PYTORCH 2019 @datascienceiot

Reinforcement Learning — (en) @datascienceiot

Data Visualization with Python and JS @datascienceiot

Python Programming An Introduction to Computer Science @datascienceiot

Machine Learning with Python Cookbook — Chris Albon (en) 2018 @datascienceiot

Math Adventures with Python — Peter Farrell (en) 2019 @datascienceiot

Applied Natural Language Processing with Python @datascienceiot

Hands on machine learning with scikit learn and Tensorflow @datascienceiot

AI with Python @datascienceiot

Data Structures and Algorithms in Python @datascienceiot

Mastering Python for Data Science @datascienceiot

Numerical Computing with Python @datascienceiot

Applied Deep Learning — Umberto Michelucci (en) 2018 @datascienceiot

Data Analysis From Scratch With Python — P. Morgan (en) @datascienceiot

Introduction to Deep Learning Business Applications for Developers @datascienceiot