en
Feedback
📚Python Books

📚Python Books

Open in Telegram

📚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

Show more

📈 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
Скрапинг веб-сайтов Python @pythonlbooks

Machine Learning with Python for Everyone @pythonlbooks

Coding in Python: A Comprehensive Beginners Guide to Learn the Realms of Coding in Python Book @pythonlbooks
Coding in Python: A Comprehensive Beginners Guide to Learn the Realms of Coding in Python Book @pythonlbooks

Building Android Apps in Python Using Kivy with Android Studio - 2019 Book @pythonlbooks
Building Android Apps in Python Using Kivy with Android Studio - 2019 Book @pythonlbooks

Real-World Python: A Hacker's Guide to Solving Problems with Code Book @pythonlbooks
Real-World Python: A Hacker's Guide to Solving Problems with Code Book @pythonlbooks

Hands-On Java Deep Learning for Computer Vision - 2019 Github @pythonlbooks
Hands-On Java Deep Learning for Computer Vision - 2019 Github @pythonlbooks

Python Deep Learning, Second Edition Book @pythonlbooks
Python Deep Learning, Second Edition Book @pythonlbooks

Learn Programming in Python - 2018 Book @pythonlbooks
Learn Programming in Python - 2018 Book @pythonlbooks

Coding the Arduino: Building Fun Programs, Games, and Electronic Projects Book @pythonlbooks
Coding the Arduino: Building Fun Programs, Games, and Electronic Projects Book @pythonlbooks

Advanced Machine Learning with Python Book @pythonlbooks
Advanced Machine Learning with Python Book @pythonlbooks

Foundations for Analytics with Python Book @pythonlbooks
Foundations for Analytics with Python Book @pythonlbooks

Django 3.0. Практика создания веб-сайтов на Python - 2021 Book @pythonlbooks
Django 3.0. Практика создания веб-сайтов на Python - 2021 Book @pythonlbooks

Thoughtful Machine Learning with Python @pythonlbooks

Pro Machine Learning Algorithms - 2018 @pythonlbooks

AgroCode 2020 – главный агрокодинг страны от Россельхозбанка. Теперь онлайн! За 40 часов участникам предстоит решить шесть задач от таких компаний, как Accenture, DigitalAgro, Intterra, а также от Центра интеллектуального сельского хозяйства РАН. Призовой фонд — 1,37 млн рублей. Прием заявок — до 3 декабря на сайте https://agro-code.ru/

Python, PyGame, and Raspberry Pi Game Development - 2019 @pythonlbooks

Flask: веб-разработка капля за каплей @pythonlbooks

Advanced Python Development (2020) @pythonlbooks

Clean Python: Elegant Coding in Python @pythonlbooks

Introducing MySQL Shell: Administration Made Easy with Python Charles Bell (2019) @pythonlbooks