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Learn Python Coding

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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho

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Сеть:Machine Learning with Python Индия9 354 Технологии и приложения3 286...

📈 Аналитический обзор Telegram-канала Learn Python Coding

Канал Learn Python Coding (@pythonre) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 40 888 подписчиков, занимая 3 286 место в категории Технологии и приложения и 9 354 место в регионе Индия.

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С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 40 888 подписчиков.

Согласно последним данным от 26 октября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 455, а за последние 24 часа — 5, при этом общий охват остаётся высоким.

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Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 3.66%. В первые 24 часа после публикации контент обычно набирает 1.51% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 1 496 просмотров. В течение первых суток публикация набирает 619 просмотров.
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Тематические интересы: Контент сосредоточен на ключевых темах, таких как math, harvard, oxford, supervision, waybienad.

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“Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho”

Благодаря высокой частоте обновлений (последние данные получены 27 октября, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

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40 888

Подписчики

+524 часа

+247 дней

+45530 дней

1 496

Просмотры поста

~ 61924 часа

~ 95248 часов

3.66%

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How to create your own context manager in Python? There are two main ways: to create a class with methods enter() and exit(), or to use the decorator @contextmanager from the module contextlib. The second option is usually more compact and is based on generators. ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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There are hundreds of AI channels on YouTube. Here's why we made another one. Most AI content does one of two things: it stays so surface-level it teaches you nothing, or it goes so deep you need a PhD to follow along. We built Guidely for everyone in between. → We start with absolute beginners in mind → Then take you deeper, until the details actually click → Every guide is reviewed by experienced AI engineers → We don't make more content. We make better content. Whether you build, design, or market products, our goal is simple: leave you thinking "I've never seen it broken down this well." Two good places to start 👇 → AI vs ML vs Deep Learning vs GenAI ... But Done Right! The terms everyone uses. The distinctions are almost never explained clearly. We fix that: youtu.be/72yyLA2wRWc → How to Break into AI Engineering in 2026 A senior applied scientist shares what actually matters: youtu.be/42vE7Ij4kdU If AI has ever felt overwhelming or noisy, this channel is for you. If the content resonates with you, please don’t forget to like and subscribe.

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What useful functions are there in the functools module? Among the most popular ones: lru_cache for caching results, partial for partial application of arguments, wraps for preserving metadata in decorators and cmp_to_key for transforming a comparison function into a sorting key 🐍✨

# functools module usage
from functools import lru_cache, partial, wraps, cmp_to_key

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✍️ Python Backend Knowledge Base — a large knowledge base for developers! This repository has gathered in one place everything a Python backend developer encounters: from basic concepts to more complex topics related to architecture, databases, APIs, and the structure of server applications. The material is well-structured, so it's convenient to use not only for learning new topics but also as a reference during work. I'll leave a link: [GitHub](https://github.com/nightblure/Python-backend-knowledge-base) 📱 د ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A 🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more. ✅ 13 courses live + 40+ coming soon 🎯 One access, lifetime updates 🔑 Use code: PRESALE-BOOK-WAVE-2GFG 👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO #Python #Backend #Developer #GitHub #Programming #Tech

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