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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 33 240 subscribers, ranking 4 016 in the Technologies & Applications category and 19 211 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 33 240 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 -126 over the last 30 days and by -12 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 9.18%. Within the first 24 hours after publication, content typically collects 2.71% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 3 051 views. Within the first day, a publication typically gains 900 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 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.

33 240
Subscribers
-1224 hours
-747 days
-12630 days
Posts Archive
Mastering Machine learning for penetration testing @pythonlbooks

Machine learning with python Book @pythonlbooks
Machine learning with python Book @pythonlbooks

Learn Python Programming Github @pythonlbooks
Learn Python Programming Github @pythonlbooks

Learn Python Programming Github @pythonlbooks
Learn Python Programming Github @pythonlbooks

Learn Programming in Python with Cody Jackson.pdf6.89 MB

How_To_Learn_Python_by_Steven_Lamb.epub2.88 MB

Django tutorial build a Travel blog @pythonlbooks

Python Computatioma Physics @pythonlbooks
Python Computatioma Physics @pythonlbooks

Python complete guide Github @pythonlbooks
Python complete guide Github @pythonlbooks

Pytest guide Book @pythonlbooks
Pytest guide Book @pythonlbooks

Python и наука о данных для чайников Book @pythonlbooks
Python и наука о данных для чайников Book @pythonlbooks

Python Recipes for Engineers and Scientists: Scripts that devour your integrals, equations, differential equations, and inter
Python Recipes for Engineers and Scientists: Scripts that devour your integrals, equations, differential equations, and interpolations Book @pythonlbooks

Raspberry Pi Image Processing Programming: Develop Real-Life Examples with Python, Pillow, and SciPy Book @pythonlbooks
Raspberry Pi Image Processing Programming: Develop Real-Life Examples with Python, Pillow, and SciPy Book @pythonlbooks

Hands-On Deep Learning for IoT (2019) Github @pythonlbooks
Hands-On Deep Learning for IoT (2019) Github @pythonlbooks

Hands-On Genetic Algorithms with Python (2020) Book @pythonlbooks
Hands-On Genetic Algorithms with Python (2020) Book @pythonlbooks

Practical Cryptography in Python: Learning Correct Cryptography by Example Seth James Nielson, Christopher K. Monson (2019) @pythonlbooks

Python for Bioinformatics @programming_books_it

Computational Problems for Physics: With Guided Solutions Using Python @pythonlbooks

Coding with Python: A Simple And Straightforward Guide For Beginners To Learn Fast Programming With Python (2020) Автор: Eugene Gates @pythonlbooks

Дейтел_П_,_Дейтел_Х_Python_Искусственный_интеллект,_большие_данные.pdf11.70 MB