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Библиотека Python разработчика | Книги по питону

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Погружение в CPython и архитектуру. Разбираем неочевидное поведение (GIL, Memory), Best Practices (SOLID, DDD) и тонкости Django/FastAPI. Решаем задачи с подвохом и оптимизируем алгоритмы. 🐍 По всем вопросам @evgenycarter РКН clck.ru/3Ko7Hq

Network: Книги для программистовRussia36 565Technologies & Applications7 250...

📈 Analytical overview of Telegram channel Библиотека Python разработчика | Книги по питону

Channel Библиотека Python разработчика | Книги по питону (@bookpython) in the Russian language segment is an active participant. Currently, the community unites 17 959 subscribers, ranking 7 250 in the Technologies & Applications category and 36 565 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 17 959 subscribers.

According to the latest data from 04 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -87 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 5.31%. Within the first 24 hours after publication, content typically collects 2.70% reactions from the total number of subscribers.
Post reach: On average, each post receives 953 views. Within the first day, a publication typically gains 485 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
Thematic interests: Content is focused on key topics such as numbers, yield, модуль, none, декоратор.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Погружение в CPython и архитектуру. Разбираем неочевидное поведение (GIL, Memory), Best Practices (SOLID, DDD) и тонкости Django/FastAPI. Решаем задачи с подвохом и оптимизируем алгоритмы. 🐍 По всем вопросам @evgenycarter РКН clck.ru/3Ko7Hq”

Thanks to the high frequency of updates (latest data received on 05 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.

17 959

Subscribers

-324 hours

-157 days

-8730 days

953

Post views

~ 48524 hours

~ 58748 hours

5.31%

Engagement rate

No data

Posts per day

Ads index

Posts Archive

17 955

Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python Jojo John Moolayil (2019) Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented in Keras. #book

17 955

Шпаргалка по Python #book #cheatsheet #Python

17 955

Introduction to Python for Science and Engineering David J. Pine

17 955

Python Deep Learning: Exploring deep learning techniques, neural network architectures and GANs with PyTorch, Keras and TensorFlow Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca With the surge of Artificial Intelligence in each and every application catering to both business and consumer needs, Deep Learning becomes the prime need of today and future market demands. This book explores deep learning and builds a strong deep learning mindset in order to put them into use in their smart artificial intelligence projects. #book

17 955

https://telegra.ph/10-cennyh-Python-sovetov-dlya-nachinayushchih-no-ne-tolko-06-20

17 955

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib Robert Johansson Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computing, financial engineering, business management and more. #book

17 955

Шпаргалка по Python Matplotlib #cheatsheet

17 955

Искусственный интеллект с примерами на Python Автор: Джоши П. Год издания:2019 #python #book

17 955

Python Basics A Self-Teaching Introduction H. Bhasin #book #Bhasin

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Python: Crash Course - The Ultimate Beginner's Course to Learning Python Programming in Under 12 Hours Overview: Are you ready to unlock the keys to the future? If your answer is a resounding 'YES!', then this crash course on Python Programming is exactly what you need in your toolkit. In these days of the 3.0 era, there are essential tools that we must absolutely have at hand to solve everyday problems. And guess what? One of these skills consists of how to use programming languages. Can you imagine what we could do if we'd knew how to write a simple instruction for our PC? What we could achieve if we could create from scratch something that'd solve problems in just seconds? That would be absolutely amazing: no limits, no boundaries, no frontiers. A whole new world of possibilities in front of us! #book

17 955

Легкий способ выучить Python Автор: Зед Шоу Год издания: 2017

17 955

https://hackernoon.com/50-data-structure-and-algorithms-interview-questions-for-programmers-b4b1ac61f5b0

17 955

https://telegra.ph/20-BIBLIOTEK-DLYA-PYTHON-RAZRABOTCHIKOV-06-15

17 955

Шпаргалка по Python3 #python #cheatsheet

17 955

ОСНОВЫ ПРОГРАММИРОВАНИЯ НА ПРИМЕРЕ ЯЗЫКА PYTHON 2019 Д. Ю. Федоров Учебное пособие #book #python

17 955

Программирование на Python для начинающих Майк МакГрат Познакомившись с основами языка, вы перейдете к объектно-ориентированному программированию и созданию CGI-сценариев для обработки данных веб-форм, научитесь создавать графические приложения с оконным интерфейсом и распространять их на другие устройства. В обучении вам помогут готовые примеры. Книга «Программирование на Python для начинающих» идеально подойдет программистам, переключающимся на работу с другим языком, студентам и школьникам изучающим язык Python. #book #Python

17 955

Самоучитель Python Выпуск 0.2 Дмитрий Мусин #book #python

17 955

Python для сложных задач: наука о данных и машинное обучение Автор: Дж. Вандер Плас Год издания: 2018 #python #book

17 955

Чистый Python. Тонкости программирования для профи. Автор: Бейдер Д. Год издания:2018 #python #book

17 955

Django for Beginners Авторы: William S. Vincent Год издания: 2018 #python #book