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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 34 037 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 34 037 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.

34 037
Subscribers
+324 hours
-347 days
-16730 days
Posts Archive
Hands-On Data Analysis with Pandas (2019) Book @pythonlbooks
Hands-On Data Analysis with Pandas (2019) Book @pythonlbooks

Django. Разработка веб-приложений на Python @pythonlbooks

Python for Offensive PenTest Hussam Khrais (2018) @pythonlbooks

Programming PyTorch for Deep Learning (2019) Автор: Ian Pointer @pythonlbooks

Mission Python: Code a Space Adventure Game! Book @pythonlbooks
Mission Python: Code a Space Adventure Game! Book @pythonlbooks

Learn Programming in Python with Cody Jackson Book @pythonlbooks
Learn Programming in Python with Cody Jackson Book @pythonlbooks

Create GUI Applications with Python & Qt5 (2020) @pythonlbooks

Python for DevOps: Learn Ruthlessly Effective Automation - 2020 @pythonlbooks

Какие продвинутые навыки стоит освоить Data Science специалистам? 27 октября в 20:00 (мск) приглашаем познакомиться с онлайн-
Какие продвинутые навыки стоит освоить Data Science специалистам? 27 октября в 20:00 (мск) приглашаем познакомиться с онлайн-курсом "Machine Learning. Продвинутый курс". Преподаватель Дмитрий Сергеев представит программу, расскажет, как организована практика и ответит на ваши вопросы о карьере Data Science. Вебинар предназначен для практикующих Data Science специалистов, желающих повысить свой профессиональный уровень до Middle/Senior. Интересно, как можно продвинуться в Data Science? Тогда регистрируйтесь, чтобы не пропустить, и приходите: https://otus.pw/Miug/

Python Programming: A Step By Step Guide from Beginner to Advanced (2020) @pythonlbooks

Effective Python: 90 Specific Ways to Write Better Python @pythonlbooks

Python Playground: Geeky Projects for the Curious Programmer (2020) Автор: Mahesh Venkitachalam @pythonlbooks

Building Django 2.0 Web Applications: Create enterprise-grade, scalable Python web applications easily with Django 2.0 Tom Aratyn (2018) @pythonlbooks

Learning Python: The Ultimate Guide for Beginners to Coding with Python with Useful Tools Oliver Soranson (2019) @pythonlbooks

Automate The Boring Stuff With Python Book @pythonlbooks
Automate The Boring Stuff With Python Book @pythonlbooks

DevOps in Python: Infrastructure as Python Github @pythonlbooks
DevOps in Python: Infrastructure as Python Github @pythonlbooks

Programming for computations with Python @pythonlbooks

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