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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 34 032 subscribers, ranking 4 039 in the Technologies & Applications category and 19 181 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 34 032 subscribers.

According to the latest data from 08 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -164 over the last 30 days and by -7 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 8.67%. 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 2 950 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 09 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.

34 032
Subscribers
-724 hours
-467 days
-16430 days
Posts Archive
Mastering Python for Networking and Security (2021) @pythonlbooks

Artificial Intelligence, IOT and machine Learning : AI programs using Python A Beginners book Book @pythonlbooks
Artificial Intelligence, IOT and machine Learning : AI programs using Python A Beginners book Book @pythonlbooks

Machine Learning for Time Series Forecasting with Python (2020) Book @pythonlbooks
Machine Learning for Time Series Forecasting with Python (2020) Book @pythonlbooks

Python® Notes for Professionals book Book @pythonlbooks
Python® Notes for Professionals book Book @pythonlbooks

The Statistics and Calculus with Python Workshop (2020) @pythonlbooks

Python: Cheatsheet @pythonlbooks

Django for APIs @pythonlbooks

Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner (2021) @pythonlbooks

Threat Modeling Python Web Apps Written With Flask And Django @pythonlbooks

Testing In Python: Robust Testing For Professionals @pythonlbooks

Image Operators Image Processing in Python @pythonlbooks

Python Data Cleaning Cookbook @pythonlbooks

Competitive Programming in Python @pythonlbooks

Mastering Computer Vision with TensorFlow 2.x @pythonlbooks

robot_dreams — это онлайн-школа для тех, кто работает с big data, AI и ML. Кроме курсов, проект даёт полезный контент — обзор
robot_dreams — это онлайн-школа для тех, кто работает с big data, AI и ML. Кроме курсов, проект даёт полезный контент — обзоры профессий, кейсы и новости сферы. Подписаться: https://t.me/robotdreams_cc

Python Continuous Integration and Delivery: A Concise Guide with Examples Book @pythonlbooks
Python Continuous Integration and Delivery: A Concise Guide with Examples Book @pythonlbooks

SberCode – 4 трека и 60 команд в финале, которые сразятся за призовой фонд в 1 млн рублей. Партнеры онлайн-хакатона – Sber AR
SberCode – 4 трека и 60 команд в финале, которые сразятся за призовой фонд в 1 млн рублей. Партнеры онлайн-хакатона – Sber AR/VR Lab, HR Sber, SberCloud и SberDevices – представляют рынку 4 задачи по созданию новых технологических продуктов и сервисов. Подать заявку и узнать больше деталей о задачах можно до 21 февраля на сайте sbercode.tech

Scientific Computing with Python 3 Book @pythonlbooks
Scientific Computing with Python 3 Book @pythonlbooks

Python for DevOps Learn Ruthlessly Effective Automation Book @pythonlbooks
Python for DevOps Learn Ruthlessly Effective Automation Book @pythonlbooks

Robust Python Book @pythonlbooks
Robust Python Book @pythonlbooks