en
Feedback

Don't get caught by a cheater! Telemetrio finds and tags such channels 👉 If you want to see the tag, subscribe

📚Python Books

📚Python Books

Open in Telegram

📚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

Show more

📈 Analytical overview of Telegram channel 📚Python Books

Channel 📚Python Books (@pythonlbooks) is an active participant. Currently, the community unites 33 229 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 33 229 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.

33 229
Subscribers
-1224 hours
-747 days
-12630 days
Posts Archive
Python 3 Object-oriented Programming, Second Edition Book @pythonlbooks
Python 3 Object-oriented Programming, Second Edition Book @pythonlbooks

Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data Book @python
Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data Book @pythonlbooks

The Complete Python Manual – Volume 35 - 2019 Github @pythonlbooks
The Complete Python Manual – Volume 35 - 2019 Github @pythonlbooks

Introduction to Computing. Using Python, Second Edition @pythonlbooks

Internet of Things with Python @pythonlbooks

PC PyCharm @pythonlbooks

Python One-Liners (2020) @pythonlbooks

A Smarter Way to Learn Python: Learn it faster. Remember it longer @pythonlbooks

Hands-On RESTful Python Web Services @pythonlbooks

Django 2.1. Практика создания веб-сайтов на Python - 2019 @pythonlbooks

Python Programming For Beginners (2020) Book @pythonlbooks
Python Programming For Beginners (2020) Book @pythonlbooks

Forging Python - 2019 Book @pythonlbooks
Forging Python - 2019 Book @pythonlbooks

Natural Language Processing in Action - 2019 Book @pythonlbooks
Natural Language Processing in Action - 2019 Book @pythonlbooks

Генетические алгоритмы на Python - 2020 Book @pythonlbooks
Генетические алгоритмы на Python - 2020 Book @pythonlbooks

PySpark Recipes Book @pythonlbooks
PySpark Recipes Book @pythonlbooks

Applied Data Science with Python and Jupyter Book @pythonlbooks
Applied Data Science with Python and Jupyter Book @pythonlbooks

Introducing Python: Modern Computing in Simple Packages, 2nd Edition - 2019 Book @pythonlbooks
Introducing Python: Modern Computing in Simple Packages, 2nd Edition - 2019 Book @pythonlbooks

Qt5 Python GUI Programming Cookbook: Building responsive and powerful cross-platform applications with PyQt Github @pythonlbo
Qt5 Python GUI Programming Cookbook: Building responsive and powerful cross-platform applications with PyQt Github @pythonlbooks

Secret Recipes of the Python Ninja Book @pythonlbooks
Secret Recipes of the Python Ninja Book @pythonlbooks

Practical time series analysis: master time series data processing, visualization, and modeling using Python Github @pythonlb
Practical time series analysis: master time series data processing, visualization, and modeling using Python Github @pythonlbooks