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📚Python Books

📚Python Books

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📚Python библиотека admin - @workakkk @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 33 546 subscribers, ranking 3 891 in the Technologies & Applications category and 19 158 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 33 546 subscribers.

According to the latest data from 01 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -177 over the last 30 days and by 18 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 6.78%. Within the first 24 hours after publication, content typically collects 2.56% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 273 views. Within the first day, a publication typically gains 859 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 - @workakkk @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 02 September, 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.

33 546
Subscribers
+1824 hours
-207 days
-17730 days
Posts Archive
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

Advanced Analytics with Spark @datascienceiot

Big Data Analysis for Bioinformatics and Biomedical Discoveries @datascienceiot

Data Science For Dummies @datascienceiot

Data Mining for Business Analytics @datascienceiot

Introduction to Deep Learning @datascienceiot

A Concise Introduction to Programming in Python, Second Edition @pythonl

Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python @datascienceiot

Big Data Analytics Made Easy @datascienceiot