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Learn Python Coding

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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📈 Аналітичний огляд Telegram-каналу Learn Python Coding

Канал Learn Python Coding (@pythonre) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 40 888 підписників, посідаючи 3 286 місце в категорії Технології та додатки та 9 354 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 40 888 підписників.

За останніми даними від 26 жовтня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 455, а за останні 24 години на 5, загальне охоплення залишається високим.

  • Статус верифікації: Не верифікований
  • Рівень залученості (ER): Середній показник залученості аудиторії становить 3.66%. Протягом перших 24 годин після публікації контент зазвичай збирає 1.51% реакцій від загальної кількості підписників.
  • Охоплення публікацій: В середньому кожен допис отримує 1 496 переглядів. Протягом першої доби публікація в середньому набирає 619 переглядів.
  • Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 2.
  • Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як math, harvard, oxford, supervision, waybienad.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“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”

Завдяки високій частоті оновлень (останні дані отримано 27 жовтня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Технології та додатки.

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🔥 10 GitHub Repositories to Scrape Almost Any Website 1. Firecrawl Turns entire websites into clean, AI-ready Markdown or structured data with just a few API calls. Perfect for feeding LLMs. 🤖 2. Crawl4AI An open source python crawler built specifically for AI. Extracts clean, structured content optimized for LLMs. 🐍 3. Browser Use AI Agent that control browsers like a human. It allows an AI agent to dynamically visually navigate, click elements, bypass popups, and extract data. 🖱️ 4. Crawlee A powerful scraping framework for building fast, reliable crawlers with support for Playwright, Puppeteer, and Cheerio. ⚡ 5. Scrapy One of the most popular Python frameworks for large-scale web scraping and crawling projects. 🕷️ 6. MarkItDown Converts PDFs, Office documents, HTML, and many other file types into clean Markdown for AI workflows. 📄 7. Scrapling A modern Python scraping library that combines speed, browser automation, and smart parsing with a simple API. 🚀 8. Skyvern An AI-powered scraping tool that dynamically solve CAPTCHAs, log into complex portals, and extract data without requiring any pre-defined HTML selectors or XPaths. 🔓 9. AutoScraper Automatically learns how to extract similar data from web pages by showing it just a few examples. 🧠 10. curl-impersonate Makes cURL mimic real browsers like Chrome and Safari to bypass bot detection and access protected websites more reliably. 🕵️ 💡 Save this list for your next web scraping or AI automation project. #WebScraping #AI #GitHub #Python #Automation #LLM ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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Repost from Udemy Free
250+ Python DSA Coding Practice Test [Questions & Answers] Python DSA Coding Interview Questions and Answers (Solution Code w
250+ Python DSA Coding Practice Test [Questions & Answers] Python DSA Coding Interview Questions and Answers (Solution Code with Detailed Explanations) | Coding Practice Exercises… 🏷 Category: development 🌍 Language: English (US) 👥 Students: 110 students ⭐️ Rating: 0.0/5.0 (0 reviews) 🏃‍♂️ Enrollments Left: 5 ⏳ Expires In: 0D:30H:30M 💰 Price: $23.03 ⟹ FREE 🆔 Coupon: 731B3C9353AE09ABE19E ⚠️ Watch 2 short ads to unlock your free access. 💎 By: https://t.me/Udemy26 #Programming #Coding #Development #Tech #Python #DataScience

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3 quick ways to merge dictionaries in Python 🐍 1️⃣ The operator | (Python 3.9+) — the most modern and elegant way. Creates a new dictionary.
dict1 = {'a': 1, 'b': 2}
dict2 = {'b': 99, 'c': 4}

combined = dict1 | dict2
# Result: {'a': 1, 'b': 99, 'c': 4} (values of the second dictionary replace the first)
2️⃣ The in-place update operator |= (Python 3.9+) — if you need to modify the first dictionary in place.
dict1 |= dict2
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Do you know that Python allows you to get all the object's attributes with one function without additional code? 🐍 When you need to quickly check the state of an object, many manually access the attributes or dig into __dict__. But for this, Python already has a built-in function vars().
vars(obj)
It returns a dictionary of all the object's attributes, including the current state of the instance.
{'x': 10}
This is useful for debugging, logging, serialization, ORM, and analyzing the runtime state of objects.
print(vars(user))
Also, `vars() works with modules, classes, and any objects with dict. ``python vars(module) ` 🔥 `vars()` — a rather underrated tool for quickly analyzing the state of objects during execution. #Python #Coding #Programming #Debugging #TechTips #DevLife ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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