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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 33 242 subscribers, ranking 4 021 in the Technologies & Applications category and 19 227 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 33 242 subscribers.

According to the latest data from 30 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -114 over the last 30 days and by -9 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 8.92%. Within the first 24 hours after publication, content typically collects 2.59% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 967 views. Within the first day, a publication typically gains 860 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 31 October, 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.

33 242
Subscribers
-924 hours
-707 days
-11430 days
Posts Archive
Python for Probability Statist Book @pythonlbooks
Python for Probability Statist Book @pythonlbooks

Data Mining for Business Analytics: Concepts, Techniques and Applications in Python Github @pythonlbooks
Data Mining for Business Analytics: Concepts, Techniques and Applications in Python Github @pythonlbooks

Python Data Analysis for Newbies: Numpy/pandas/matplotlib/scikit-learn/keras Github @pythonlbooks
Python Data Analysis for Newbies: Numpy/pandas/matplotlib/scikit-learn/keras Github @pythonlbooks

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

📚Python Books - Statistics & analytics of Telegram channel @pythonlbooks