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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 353 Технологии и приложения3 292...

📈 Аналитический обзор Telegram-канала Learn Python Coding

Канал Learn Python Coding (@pythonre) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 40 879 подписчиков, занимая 3 292 место в категории Технологии и приложения и 9 353 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 40 879 подписчиков.

Согласно последним данным от 27 октября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 395, а за последние 24 часа — -12, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 3.98%. В первые 24 часа после публикации контент обычно набирает 1.48% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 1 628 просмотров. В течение первых суток публикация набирает 604 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 2.
Тематические интересы: Контент сосредоточен на ключевых темах, таких как math, harvard, oxford, supervision, waybienad.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“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 28 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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40 879

Подписчики

-1224 часа

-127 дней

+39530 дней

1 628

Просмотры поста

~ 60424 часа

~ 1 05048 часов

3.98%

Коэффициент вовлеченности

Нет данных

Постов в день

Ads index

beta

Архив постов

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✨ fnmatch | Python Standard Library ✨ 📖 Provides tools for Unix shell-style wildcard pattern matching against filename strings. 🏷️ #Python

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Read this once. There won't be a second message. Brainlancer just launched today. Investor-backed marketplace for ALL AI freelancers. Designers, builders, copywriters, marketers, video creators, automation experts, consultants. If you build, design, write, or sell anything with AI, this is your moment. How it works: • Register free at brainlancer.com • Stripe verification, 5 minutes, instant approval • List up to 5 services from $49 to $4,999 • Add monthly subscriptions on top if you want • We bring the clients. You keep 80%. The deal: No subscription. No bidding. No chasing. We pay all marketing. Real talk: no services live yet. We just launched. Whoever joins first gets seen first. The first 100 Brainlancers are onboarding right now. In 6 months others will have founding status, recurring income, featured services on the homepage. You'll scroll past and remember this post. Don't. → brainlancer.com

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Repost from Machine Learning with Python

GitHub repositories to enhance your Python proficiency: - Web development with Django — https://github.com/django/django - Data Science tools — https://github.com/rasbt/python-machine-learning-book - Algorithmic challenges — https://github.com/TheAlgorithms/Python - Machine learning recipes — https://github.com/ageron/handson-ml2 - Testing best practices — https://github.com/pytest-dev/pytest - Automation scripts — https://github.com/soimort/you-get - Advanced Python concepts — https://github.com/faif/python-patterns Bookmark and share https://t.me/CodeProgrammer 🌟

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Repost from Machine Learning with Python

Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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✨ AI Coding Agents Guide: A Map of the Four Workflow Types ✨ 📖 AI coding agents come in four types: IDE, terminal, PR, and cloud. Learn how each workflow fits into modern Python development. 🏷️ #intermediate #ai

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✨ Quiz: AI Coding Agents Guide: A Map of the Four Workflow Types ✨ 📖 Check your understanding of how AI coding agents fit into your workflow through four interaction modes: IDE, terminal, pull request, and cloud. 🏷️ #intermediate #ai

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✨ fileinput | Python Standard Library ✨ 📖 Provides tools for iterating over lines from multiple input files or standard input, with support for in-place file editing. 🏷️ #Python

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This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0 ✅ https://t.me/Codeprogrammer

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✨ Real Python Merchandise ✨ 📖 Support realpython.com with this collection of Python mugs, t-shirts, hoodies, and stickers. 🏷️ #Python

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Today, the public mint for Lobsters on TON goes live on Getgems 🦞 This is not just another NFT drop. In my view, Lobsters is one of the first truly cohesive products at the intersection of blockchain, NFTs, and AI. Here, the NFT is not just an image and not just a collectible. Each Lobster is an NFT with a built-in AI agent inside: a digital character with its own soul, on-chain biography, persistent memory, and a unified identity across Telegram, Mini App, Claude, and API. So you are not just getting an asset in your wallet. You are getting an AI-native digital character that can interact, remember, and stay consistent across different interfaces. What makes this especially interesting is the timing. In the recent video Pavel Durov shared in his post about agentic bots in Telegram, the lobster imagery was right there. Against that backdrop, Lobsters does not feel like a random mint — it feels like a very precise fit for the new narrative: Telegram-native agents + TON infrastructure + NFT ownership layer + AI utility Put simply, this is one of the first real attempts to turn an NFT from “just an image” into a digital agent. Public mint: today, 16:00 Price: 50 TON 👉 Mint your Lobster on Getgems 🦞🦞🦞

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✨ filecmp | Python Standard Library ✨ 📖 Provides tools for comparing files and directory trees, with a caching layer for efficiency and a dircmp class for recursive directory analysis. 🏷️ #Python